Let's learn about Analytics via these 263 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the /Learn or LearnRepo.com to find the most read blog posts about any technology.
Ah, analytics. The lifeline of any business.
1. 4 Steps to Build a Web Analytics Measurement Plan
If you have been using web analytics for a long time, then you know that it can hugely impact how you do digital marketing.
2. Build Better Notification Experiences With Omnichannel Analytics
In this article, we talk about omnichannel analytics, why analytics are hard for notifications, and what we believe is needed to empower PMs.
3. Automating Instagram API Using Python: Gain Active Followers
Hi Devs!
4. 16 SQL Techniques Every Beginner Needs to Know
This blog post explains the most intricate data warehouse SQL techniques in detail.
5. 10 Financial Predictions for 2021 to Protect Your Wealth
Banks are so screwed. They are about to be attacked by central banks, fintech, and crypto companies.
6. A Beginner's Guide to Understanding SQL Window Functions - Part 2
let us explore more advanced SQL concepts. It may sound a bit complicated at first glance, but I will provide simple examples suitable for beginners...
7. AI is Neither the Magical Replacement for Human Analysts Nor a Useless Gimmick
AI is being used to help analysts with routine tasks. But it can also be a real contender on the analytics team.
8. A Better Guide to Build Apache Superset From source
In this article, we’ll be deep-diving on how to build Apache Superset from the source. The official documentation is too complicated for a new contributor and thus my attempt to simplify it.
9. Using LTV Modeling for Quick Evaluation of Customer Acquisition Channels
True story from retail finance about LTV modeling with ML algorithms for evaluation customer acquisition channels.
10. How to Create a Simple Dashboard with Google Forms and Google Data Studio
11. Why is Multi-tenant Analytics Hard to Build and Maintain
Qrvey's turnkey solution to multi-tenant analytics takes the stress out of building and delivering embedded analytics for SaaS applications.
12. Knowledge Graphs Gain Traction as AI Pushes Beyond Traditional Data Models
Is graph really the new star schema? What do graphs like to non-insiders, and what attracts them to the community, methodologies, applications, and innovation?
13. API Explained In Simple Terms
I'm pretty sure you would have heard the term API, and if you were wondering what it is, then this is the article for you.
14. Easiest Way to Analyze Vesting Schedule
What Is Vesting Schedule?
15. How to Use Propensity Score Matching to Measure Down Stream Causal Impact of an Event
How can we know ours ads are making impact that we aim for? What if targeted ads are not working the way we want them to?
16. You Are Not Worth Tracking, Sorry
I do not track you. I don't have to, and I don't care to.
17. Everything you need to know about YCombinator S19 startups
It is not a secret to anyone that YCombinator is the most successful accelerator in the world. They have made well over 2,538 investments.
18. Analysis: How Dune Analytics Became the Most Discussed Blockchain Data Tool
Dune analytics quickly became the go-to tool for DeFi analytics. What was it that made it grow so quickly. We explain the details here.
19. Commercial Analytics
I'll share insights into how we can uncover untapped potential in pricing, assortment management, and stock logistics with data-based instruments and processes.
20. Don't Be Scared Of Indeterminacy
Hello, people! I'm an IT analyst from Russia, and I want to make the world around me better. Last time I worked for the biggest Russian energy company as a business analyst, and during my work, I noticed that it is unnecessary to be good at making the final result even if you are a really good professional in your field.
21. How to Scale NestJS Applications: A Case Study of a High-Load Web Analytics Backend
A story of how to make NestJS application scale and being able to process thousands of requests per second.
22. Causal Impact Analysis as an Alternative to A/B Testing
Causal Impact analysis is a valuable tool, but it comes with its set of limitations that practitioners need to be mindful of.
23. The Power of Universal Semantic Layers: Insights from Cube Co-founder Artyom Keydunov
What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for?
24. The 20 Slides That Raised $7 Million
Fundraising is a funny art.
25. UXCam Mobile App Heatmaps: What They Are and Why They Matter
Mobile App Heatmaps: What they are and why they matter. UXCam mobile app heatmaps are one of the most powerful tools for mobile apps.
26. A Practical Guide to Measuring Business Impact in AI/ML Projects
Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence.
27. How the Breakeven Level of Mining Allows to Determine the Pivot Point of BTC
28. COVID-19: "In God We Trust, All Others Must Bring [CLEAN] Data"
In these difficult days for all of us, I’ve heard all sorts of things. From the fake news sent through Whatsapp, like vitamin C can save your life, to holding your breath in the morning to check if you’ve been hit by COVID-19. The mantra that everyone keeps repeating is “stay at home!”, okay fine, but what exactly does “stay home” mean? The question seems ridiculous when you think of a relatively short period, 15 days? A month? But if we look critically at the situation, we surely realize that it won’t be 15 days, and it won’t be a month. It will be a long, long time. Why am I saying this? Because “stay at home” doesn’t protect us from the virus. Staying at home is to protect our health care facilities from collapse. And I’m not saying that this is wrong. I’m just saying that if we want to protect the health care system from collapse, well then we’ll stay home a long, long time. But in doing so we will irreparably damage the economic system by profoundly changing our social and political model. It is inevitable. Let’s face it and not have too many illusions.
29. Customer Data Platform (CDP) Vs Data Warehouse, CRM, and Data Management Platform
In this post, we highlight some key differences between a Customer Data Platform (CDP) and other tools generally used in a marketing tech stack. We also tackle the all-important question on many companies’ minds: “should I build or buy a CDP?.”
30. How To Predict Election Results using Twitter
Elections play crucial role in all democracies and social media is an important aspect in this process. Presently, political parties increasingly rely on social media platforms like Twitter and Facebook for political communication.The use of social media in political marketing campaigns has grown dramatically over the past few years. It is also expected to become even more critical to future political campaigns, as it creates two-way communication and engagement that stimulates and fosters candidates relationships with their supporters.
31. Unraveling the Maze of Large JSON Files: Tips and Tools for Local JSON Parsing
Discover how a backend developer overcomes obstacles in processing large JSON log files.
32. Pilosa: A Scalable High Performance Bitmap Database Index
Big data is a big problem, at least getting anything useful out of it. Every day there is about three quintillion (the next step up is sextillion or one zettabyte) bytes of data created and only about 20% of it is structured and available to easily process. Nearly all useful processing that is done relies on a philosophy that is little changed from the green bar reports we were generating during the night shift and handing out up till the turn of the century. The whole map/reduce process is overnight batch processing, you aren’t working on live data, you are working on a snapshot, which might be fine for some companies, but for others, they need to be able to make decisions on high-velocity inbound data in near/real time.
33. Why Do We Use Hexagons And Not Sqaures to Aggregate Location Data
If you are a two-degree marketplace like Uber, you cater to millions of users requesting a ride through your driver partners accepting and fulfilling those requests. For a three-degree marketplace like Swiggy, there is another static component added (like restaurants or stores), where delivery partners pick up the orders.
34. ‘Data Science Is Not a Math Skill but a Life Skill’: Noonies Nominee Kirk Borne
From astrophysics to data science, here's a story of a lifetime journey with modeling the Universe and other dynamic things that move through space and time.
35. A Guide to Self-Hosting Your Own Website Analytics With Umami
Self-host your own website analytics with Umami.
36. Covid-19: Analysing The Spread Across Populations
A large portion of mild and asymptomatic cases may go unreported. The data will never be perfect, the true cases are likely much larger as the testing frequency and effectiveness vary in different regions.
37. Using MILP and Python for Optimal Business Analytics
Optimizing Business Decisions With MILP (Mixed Integer Linear Programming) and Python: the Ultimate Solution for Business Analytics
38. What Is the Relationship Between Instagram Link in Bio and Engagement?
How does a "link in bio" placement in Instagram captions influence engagement? Read this article to discover what the data says about Instagram link in bio.
39. The Art of Trading Attention: Your Path to eCommerce Glory
Closing the gap between successful & failed eCommerce. How do we make value concrete in an intangible world?
40. How to Set Up a Dedicated Database Server for Analytics
Have that old laptop that's just in the back of your closet? Figure out how to give it a new life!
41. Best Practices for Apache Ranger Based Authorization for Your Data Platform
Unify data silos on-premise and across cloud environments to provide data locality, accessibility, and elasticity
42. Football Data Analysis Using Machine Learning Models Can Potentially Boost Throw-Ins!
“Can machine learning models help improve ball accuracy, precision and retention, leading to scoring after throw-ins?
43. The Science Behind the Fun: Why Game Analytics Matter in Modern Game Development
Uncover the science behind the fun! Explore why game analytics matter in modern development, driving data-driven decisions and optimizing player experiences.
44. 👨🔬️ Top 10 Data Scientist Skills to Develop to Get Yourself Hired
List of Top 10 Data Scientist skills that guaranteed employment. As well as a selection of helpful resources to master these skills
45. Mitigating Data Breaches in HR Analytics with RLS in MS Power BI and Apache Superset
The article tells how one can leverage RLS in both Power BI and Apache Superset to mitigate potential data breaches.
46. Graphs in the 2020s: Databases, Platforms and The Evolution of Knowledge
Graphs, and knowledge graphs, are key concepts and technologies for the 2020s. What will they look like, and what will they enable going forward?
47. How to Track Email Effectiveness in Mixpanel Analytics w/Latenode.com
Learn how to seamlessly incorporate Mixpanel analytics into your email communication by integrating it with Mailgun using Latenode.com automation platform.
48. 13 API Metrics That Every Platform Team Should be Tracking
A list of the most important API metrics every API product manager and engineer should know, especially when you are looking into API analytics and reporting.
49. How to Migrate Your Android App From Google Analytics to Firebase
Adding Firebase to Project
50. Companion for working with Laravel — Telescope
Laravel Telescope is a customized debugging panel with different aspects of the application, where each aspect is highlighted in a separate menu item.
51. A Look into the History and Future of Web Analytics
Today, web analytics are an important part of how millions of businesses operate. Businesses of all sizes and stripes rely on services like Google Analytics to help them understand consumer wants and optimize web experiences for them. Data analytics is a rapidly growing field as well, expected to be worth $550 billion by 2028.
52. The Importance of Sports Analytics
53. Top Tableau Consulting Companies on the Market in 2020
54. 10 FinTech Trends in 2021 [Part II]
You can read the first part of this article here. For those who for some reason don’t like to follow the links, let me remind you briefly: in the first part, we made a retrospective of fintech trends in 2020 and delved into the first 5 trends in 2021.
55. The Ideal PRD for Web Analytics: Saying Goodbye to Google Analytics
Basis my experience of using Google Analytics, Heap & FullStory, I think no one does a perfect job. Here's an ideal PRD for Web Analytics
56. Your Complete Guide to Self-Hosting Umami Analytics with Vercel and Supabase
Umami Analytics is an open-source alternative to Google Analytics. It is free (open source) and allows self hosting (no vendor lock in).
57. How Data Teams Can Benefit From Running Like a Product Team
Product teams have a lot of great practices that data teams would benefit from adopting. Namely: user-centricity and proactivity.
58. Replacing Apache Hive, Elasticsearch and PostgreSQL with Apache Doris
Simplicity is the best policy.
59. Meet ChainIntelGPT: AI-Powered Blockchain Analytics
ChainIntelGPT is a revolutionary AI-powered platform that combines real-time blockchain data analysis and a natural language search engine.
60. Unveiling Causal Impact: From Theory to Practice
We will guide you through a specific dataset, demonstrating how to implement the library and interpret results.
61. Will AI Take Your Job? The Data Tells a Very Different Story
Historically, technological revolutions have triggered similar waves of anxiety, only for the long-term outcomes to demonstrate a more optimistic narrative.
62. How To Setup Event Tracking with Velo by Wix
Adding tracking code to your site allows you to monitor how users interact with your site. Collecting tracking data gives you insight into their online behavior and helps you to optimize your online marketing strategies.
63. The Operational Analytics Loop: From Raw Data to Models to Apps, and Back Again
Over the next decade or so, we’ll see an incredible transformation in how companies collect, process, transform and use data. Though it’s tired to trot out Marc Andreessen’s “software will eat the world” quote, I have always believed in the corollary: “Software practices will eat the business.” This is starting with data practices.
64. Graph Algorithms, Neural Networks, and Graph Databases
Year of the Graph Newsletter, September 2019
65. 5 Steps To Build Your Dynamic Pricing Engine
With the emergence of online platforms, B2B businesses have had to reconsider their pricing strategies. But, these same technologies help the organizations create dynamic B2B pricing models that bring substantial profits if implemented correctly. For example, an integrated sales and B2B pricing software can help sales reps negotiate with customers and reduce the processing period.
66. Intro to AI Analytics and Top 5 Use Cases for Businesses
Analytics works by extracting meaningful patterns in data and interpreting and communicating them.
67. A Professional Sports Gambler Used Analytics to Turn a $700,000 Loan Into More Than $300 Million
Matthew Benham graduated from the world-renowned University of Oxford in 1989 with a degree in Physics.
68. Hacking Your Way Through Microservice Architecture
With an emerging pattern of organizations embracing the DevOps framework, adopting Microservice Architecture is steadily gaining the respect it deserves.
69. Meet Assisterr.xyz: Web3 Analytics Powered by ChatGPT
Assisterr is a web3 and crypto analytics tool that combines ChatGPT and dynamic dashboards with on-chain and off-chain data.
70. The API to Bootstrap Your Flink Jobs Has Arrived
Apache Flink is one of the most versatile data streaming open-source solution that exists. It supports all the primary functions of a typical batch processing system such as SQL, Connectors to Hive, Group By, etc. while providing fault-tolerance and exactly-once semantics. Hence, you can create a multitude of push-based applications using it.
71. How To Measure The Results Of In-App Events When Onelinks Don’t Work
How To Measure The Results Of In-App Events When Onelinks Don’t Work
72. Foursquare Enters the Future With a Geospatial Knowledge Graph
Foursquare is evolving, and its next steps will be powered by the Foursquare Graph
73. AI and Machine Learning for Manufacturing Industry: Use Cases
Artificial Intelligence(AI) has already proven to solve some of the complex problems across the wide array of industries like automobile, education, healthcare, e-commerce, agriculture etc. and yield greater productivity, smart solutions, improved security and care, business intelligence with the aid of predictive, prescriptive and descriptive analytics. So what can AI do for Manufacturing Industry?
74. Data Will Never Be Clean But You Can Make it Useful
Understanding how to clean data is essential to ensure your data tells an accurate story
75. A Deep Dive Analysis of Cyberspace Economies
Blockchain economies exist in cyberspace and regular economies exist in geographical space. Cyberspace is inherently different from geographical space. That said, we believe it is not a stretch to assert that a blockchain fits the definition of an economy.
76. Why Professions Are Adding Analytics to Their Skillsets
There are many different forms of data analytics, and these have different applications in business.
77. Why Burnout Syndrome Is More Common Among Software Developers
Indicators for burnout risk of software developers can be measured at an early stage with analytical software-based methods and allow for timely countermeasures
78. Why AI is the Future of Restaurant Sales
Think about all of the things you could do with unlimited data and insights about your sales. Now, think about all of the things you could do with future data and insights about your sales?
79. Introducing Handoff: Serverless Data Pipeline Orchestration Framework
80. Python Wheels vs Eggs (And How Data-Driven Decisions Must Become The Norm in Open-Source)
What the Python community's discussion about deprecating wheels can tech us about data-driven decision making in open-source
81. The Art of Data Storytelling: How to Make Your Data Impactful
82. Set Up Data-Driven Alerts in Google Analytics [A How To Guide]
3 years ago, disaster struck.
83. 7 Unity Engine Games With Impressive Sales From Game Analytics
How companies used game analytics to generate great revenue from their games.
84. AI and RAG in Knowledge Graph Enlightenment
A snapshot of the adoption wave for graphs in the real world, and the evolution of their use to support and advance AI – generative or otherwise.
85. Listicles – a Simple but Effective Technique for Demand Validation
I believe listicles have a huge potential for testing demand hypotheses. Have you tried using listicles for your demand validation?
86. Five Trending React Visualization Libraries
While working on Cube.js, we’re seeing a lot of different visualization libraries. Given that Cube.js provides an API layer for analytics on top of an SQL database and doesn’t play on the visualization field, any charting library can be used to build dashboards with it. That’s why we’re always on a search for a nice and developer-friendly visualization library.
87. Answering The Famous Monty Hall Puzzle with the Monte Carlo Technique
Monte Carlo is a conceptually simple but powerful technique that is widely used. It makes use of randomness to answer questions.
88. A Quick Guide To Business Data Analytics
For many businesses the lack of data isn’t an issue. Actually, it’s the contrary, there’s usually too much data accessible to make an obvious decision. With that much data to sort, you need additional information from your data.
89. We Kinda Bypassed Firebase's Paywall: Here's How
Some time ago, a few friends and I decided to build an app. We duck-taped our code together, launched our first version, then attracted a few users with a small marketing budget.
90. How Big Data and Artificial Intelligence Will Go Hand in Hand?
The emergence of technology is playing an inevitable role in business. It’s drastically transforming the way people work together in an organization. Both these technologies are revolutionizing every aspect of our life. These technologies are creating a culture where the collaboration of IT leaders and businesses results in realizing values from all generated data.
91. Aerospike Graph: the Latest Entry in the Graph Database Market
The story behind the birth of a new entry in the graph database market and its differentiation in a very densely populated market.
92. Building a Mental Health Startup: Insights from a Founder
People have a wide range of different "tools" that can give them cheap and fast relief of anxiety or other psychological conditions.
93. How to Consolidate Real-Time Analytics From Multiple Databases
94. An A-Z Guide to Decision Trees
In the beginning, learning Machine Learning (ML) can be intimidating. Terms like “Gradient Descent”, “Latent Dirichlet Allocation” or “Convolutional Layer” can scare lots of people. But there are friendly ways of getting into the discipline, and I think starting with Decision Trees is a wise decision.
95. Free Mobile App Analytics Tools: A Comprehensive Review
Free Mobile App Analytics Tools: Explore our comprehensive reviews. Uncover key features, benefits, and make an informed choice for your app success.
96. ChatGPT 4.0 Finally Gets a Joke
Reasoning: ChatGPT4.0 got the joke, ChatGPT3.5 did not
Creativity: ChatGPT4.0 does a better job.
Analytics: ChatGPT4.0 is a better programer than ChatGPT3.5
97. The Diffusion of Responsibility Phenomenon Analyzed: Unravel the Truth
Data-based analysis shows that Collective Code Ownership can do harm and affected code areas can probably become hotspots of maintenance.
98. When Good Traffic Goes Bad: How to Measure Traffic Quality
Beware, not all traffic is created equally. If you’re a website owner running advertising and SEO campaigns, the chances are that traffic is important to you. An effective campaign can lead to a healthy increase in visitors, but watch out - statistically speaking, the majority of browsers that navigate onto your pages will not only be uninterested in your product but won’t actually be human at all.
99. How I'm Building an AI for Analytics Service
In this article I want to share my experience with developing an AI service for a web analytics platform called Swetrix.
100. Copywriting: Modern Marketing's Glue
A cursory guide for digital copywriting.
101. The Intuition Behind the “LIME” Concept in AI & ML
A preambular article describing the fundamental principles & intuition behind the “LIME” concept in Artificial Intelligence & Machine learning.
102. Data-Driven Approach for Software Engineering: How to Avoid Common Problems
103. The Beginner's Guide to The Google HEART Framework
In this post, we will dig into the Google HEART framework: a simple way to ensure you take into consideration every aspect of the user journey.
104. Welcome To the New Reality: Engineering Metrics are Business Metrics
According to a McKinsey study of over 400 large enterprises across 12 industries, companies with high-performance engineering teams best their competition in all areas, including revenue growth, customer satisfaction, and brand perception. The evidence is so clear that the study itself is called, “How software excellence fuels business performance,” and it concludes that software development is integral to business success in all industries — retail, financial services, manufacturing, and of course, software companies, all require a strong engineering department to succeed.
Yet, many executives view their engineering departments as a “black box.” While other departments report on their success with metrics like revenue, customer retention rate, or cost of new customer acquisition, engineering metrics don’t often make it into the board deck. But engineering metrics are essential to understanding how your company is doing. They convey critical information about your company’s ability to deliver value to your customers, and your company’s potential for future success.
Plus, engineering is expensive — it’s important to know whether that’s money well-spent.
For a holistic picture of how your engineering department — and your business — is doing, you need to start tracking engineering metrics.
105. Online Dating From A Data Analysis Perspective: A Deep Dive
Love in the time of COVID is a… challenge, to say the least.
106. Can we be honest about ethics?
The “manifesto for data practices” (datapractices.org), was produced by a Data for Good Exchange, sponsored by Data for Democracy and Bloomberg, promoted by former U.S. Chief Data Scientist DJ Patil. The document’s creators incurred no risk by creating and promoting it, so it should not be surprising that the product fails to live up to its own ethical standards. We won’t fix ethics by fixing those tools, the creators of those tools built systematic bias into their products before deploying them.
107. Every QR Code Is An Opportunity
Unlock the potential of every QR Code! Autonix trackable Link and QR Code Generator lets businesses collect and analyze visitor data for informed decisions.
108. Key Aspects of Machine Learning Operations, Explained
If you have ever worked or currently working in the IT field, then you definitely faced the common term «machine learning.
109. Candlestick Analysis & Top Patterns
As we have already figured out, in all financial markets the price of any asset is shown in the form of graphs that are constantly changing during the trading session. Candlestick analysis of the currency market remains popular to this day, proving its effectiveness and relevance.
110. Building High-Performance Data Lake Using Apache Hudi and Alluxio
In this blog, you will see how we slashed data ingestion time by half using Hudi and Alluxio.
111. How to Track Form Completions with Google Tag Manager
Setting up a website is relatively easy in 2020. Gone are the days when you had to code the whole thing on notepad and then connect to your host with some additional FTP software.
112. 3 Real SQL Questions Asked During Technical Interviews
113. Public Health Improvements as a Result of Data Usage and Analysis in Healthcare
Big data has made a slow transition from being a vague boogie man to being a force of profound and meaningful change. Though it’s far from reaching its full potential, data is already having an enormous impact onhealthcare outcomes across the world — both at the public and individual levels.
114. Product Development: From Analytics to Customer-Centric Insights
For far too long, online marketers, agencies, and other influencers have created collateral that they think will appeal to their target market.
115. ColorDetection Module: Python Color Detection Algorithms
Images. That's it. Images. As a point of practicality, take a fashion designer (as a forum member vividly described to me at one point). You are given an image or have an image at your disposal that simply tickles your curiosity and want to incorporate it in one of your new lines. Let's swerve a little into the genetics section. Given a petri dish image for instance, with pigmented bacteria or similar organisms, and you would like to find the abundance of that organism or organisms in this specific image. Get the gist?
116. [Dev Update] Hacker Noon + Google Analytics = Happy Authors
Austin here, your friendly neighborhood software engineer from Hacker Noon, with some exciting news! We are pleased as punch to announce that contributing writers can now see pageviews and total time reading for all stories published with Hacker Noon since we began in 2016. How cool is that? Previously our stats page was only accessible for recent story performance.
117. Free Life Hacks to Spy On Your Competitor’s Ads
If you want to learn how to spy on your top direct competitors' ads – this guide is for you.
118. Leveraging Data Analytics to Improve Patient Adherence
Role of of pharma analytics to enumerate the factors accountable for falling medication adherence and the increasing role of data analytics and machine learnin
119. Make The Most Out of Your Portfolio With A Q DeFi Rating
Yield farming and crypto investments are profitable, as long as you understand the risks and assess them accurately. Risks are hidden everywhere: smart contracts, impermanent loss, rug pulls, liquidation, token volatility, people's greed. Why settle for less when some projects promise more than 10,000% APY? In an environment like this, going for 150% returns feels like you're losing money. But is it the right thing to do?
120. You Only Need a Few Tools to Unlock Real-Time Analytics
Build real-time analytics platform on AWS with data ingestion, processing, storage and visualization. Utilize tools like Kinesis, S3 and Firehose for insights.
121. How Big is BIG DATA Really?
If you have an answer, we’d love to hear from you.
122. Technology Is Transforming The Auto Insurance Industry Faster Than We Know It
Car insurance is about as dull as things can get, right? WRONG. In the dawn of artificial intelligence, machine learning and robotics, just about every industry is undergoing huge transformation - and the insurance industry is no different. For instance, auto-reminders are now in place so clients can have a peace of mind - one of the many ways technology affords us more convenience.
123. A Beginners Guide to the Gradient Descent Algorithm
The gradient descent algorithm is an approach to find the minimum point or optimal solution for a given dataset. It follows the steepest descent approach. That is it moves in the negative gradient direction to find the local or global minima, starting out from a random point. We use gradient descent to reach the lowest point of the cost function.
124. How to Design API Analytics Data Collection for High Volume APIs
API Analytics are key for any platform company that wants to gain insights into their API and platform usage. These insights can be leveraged by product owners, growth teams, developer relations, and more to make more strategic decisions based on the raw health of your platform business rather than just gut feelings. However, many API platforms have a very high volume of API calls per day. This volume creates a set of unique challenges when designing an analytics system that scales without crippling their platform or having sticker shock when looking at their cloud vendor’s bill. This post goes into some of the inner workings of how we designs Moesif’s API analytics platform to handle companies with billions of API calls a day.
125. Why You Should Stop Your Reading Challenge
Image: Goodreads.com
126. Spotify Audio Features Time Series in Additive Spotify Analyzer
There are many articles on analyzing Spotify data and many applications as well. Some are a one-time analysis on individual's music library and some are an app for a specific purpose. This app is different in that it does not do one thing. It is meant to grow and provide a place to add more analysis. This article is about how the audio features time series was created.
127. Causal Thinking in the Age of Big Data: Modern Econometrics for Data Scientists
Predictive models now rule over modern analytics stacks from recommendation engines to demand forecasting and fraud detection.
128. Neo4j Is Building an Ecosystem of Graph-powered Features for Generative AI
Graph database Neo4j is building an ecosystem for Graph-powered features for Generative AI and beyond with all major cloud platforms
129. Amazon Neptune Launches a New Analytics Engine and the One Graph Vision
Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases.
130. Using Reproduction Number Ro to Study the Impact of Social Distancing on Hospital Beds Required
This article is to study how social distancing impacts the spread of the corona virus and thus impacting the number of hospital beds needed. This study is based on varying the basic reproduction number Ro and simulating its impact on the spread of the virus using a simple Epidemic model called SIR.
131. If You’re Trying to Talk to Everybody, You’re Not Reaching Anybody
2019 Tech Trends for Marketers: How finely tuned is your targeting?
132. The Graph's Return: Exploring the Evolution of Geospatial and Personal Knowledge Graphs
News and analysis on where Knowledge Graphs, Graph Databases, Graph Analytics and Graph AI are today and where they’re headed to. New types of Knowledge Graphs.
133. Metadata Synchronization: Design, Implementation and Optimization
This article describes the design and the implementation in Alluxio to keep metadata synchronized.
134. The Year of the Graph Newsletter Vol. 25: The Fusion of Generative AI and Graph Technologies
Graphs, analytics and Generative AI. An account of the different ways graphs and AI mingle, plus industry and research news.
135. Rethinking the Importance of Crypto Trackers
Decentralization has become an inevitable process, not just in the crypto industry but far beyond it as well. This is easy to understand since users prefer full ownership of assets and freedom of action, instead of widespread interventions by third parties. It appears that the FBI understands the current trend and is ready to take preventive action.
136. Top 6 Mobile Analytics Tools of 2020
Data has become an increasingly important factor when it comes to the health of any app or website. Having all of your important numbers such as the number of downloads, amount of money generated from downloads and even the most recent feedback is the key to continued success.
137. Sort & Narrow Upcoming NFT Drops with Data: How I Developed NFT Sorter
A story of how I created NFT Sorter, a tool that lists over 150+ projects sorted by Twitter followers, number of tweets, average likes, replies, and retweets.
138. A DIY Guide to Building an Analytics Dashboard with Node, Express, and Cube.js
In the following tutorial, I’ll show you how to create a basic analytics dashboard with Node, Express, and Cube.js. As a database, we’re going to use MongoDB with MongoDB BI Connector. If you’re not familiar with it, I highly recommend you go through the Building a MongoDB Dashboard tutorial. It covers the basics of setting up Mongo and its BI Connector.
139. Testing Analytics Events: A Guide for QA Engineers
A guide for testing analytics events for QA-engineers
140. 6 Powerful Tools to Help You Monitor Your Website Performance
In a world that’s set to continue its transition online, optimizing your company’s website has never been more vital.
141. Podcast Analytics: How to Accurately Measure Content Performance
The podcast industry is booming. Each week the number of Americans who listen to podcasts tops the number of those who have Netflix accounts.
142. What ARR Actually Stands For
ARR originally stood for Annual Recurring Revenue, which had a rather definition of only looking at recurring contracts with a service length of a year or more.
143. 5 DBT Repositories You Need to Star on GitHub
The 5 hottest dbt Repositories you should star on Github 2022 - Those are mine!
144. Who even reads HackerNoon?
You, obviously. And millions of people from around the world. What audience are you advertising to? Who are you writing for? Learn more about our readers here.
145. Why I Decided to Bring a New Cloud Data Warehouse to Market
So we’ve all heard that “data is the new oil” way too many times. It’s been said so often that I personally feel slightly nauseous every time someone says that (sorry).
146. I Already Know Where the Problems Are in My Code
How cognitive biases make us overlook problems in our code and how we vigorously defend our opinions against data-based insights. And what can help against it.
147. How to Create Effective Product Funnels with Event Tracking
This article guides when and how to implement and maintain event tracking and product funnels. It uses practical real life examples
148. No More Silent Analytics Bugs: All it Takes is One SDK and One Github Action
Avoid silent analytics bugs by using two Open Source tools. First, get free from vendor lock-in by replacing the vendor analytics SDKs with RudderStack SDK that
149. PBIX Is Not Going Away - But PowerBI Will Never Work the Same Again
PowerBI is shifting from "PBIX" to "PBIR". This article explains what actually changes, who benefits and how teams should prepare for the future without panic.
150. Data Analytics is a Journey
It is 2020 and the data analytics has gained so much attention even outside of the tech community. "Data is gold", they say - no one wants to be left behind. However, getting the right strategy is neither a straightforward nor static process.
151. Are There Any Price Manipulation Patterns In Qatar 2022 Token?
Today, let’s dig deep into another significant indicator to learn more about the trading volume of QATAR 2022 TOKEN.
152. How to Monitor Live Stream Viewer Analytics with Amazon IVS
In this post, we'll look at a few ways to provide insight into stream viewers.
153. Predictive Data Mining Can Help Forecast the Online Behavior of Consumers (Podcast)
In this episode, we discuss how the company first began, how it has grown, and the solutions it currently offers.
154. What Really Drives the Value of Qatar 2022 Token?
Obviously, this is the hottest time for football token projects to bloom and the value of their fan token cryptos will rise in the run-up to the event. However,
155. How to Find Market Fit for Data Products
156. Moving Beyond Dashboards: Rethinking Analytics in the Era of Ad Hoc Requests
Let's talk about the Pareto law, the dashboard fallacy, and how to answer the hardest question in analytics
157. 188 Stories To Learn About Analytics
Learn everything you need to know about Analytics via these 188 free HackerNoon stories.
158. How to Integrate Analytics into Your Marketing Strategy
So you have started a new business? Congratulations! Launching a brand can be as competitive as struggling to find a satisfactory corporate job. And promoting it can also be quite challenging. You may think that it is enough to drive it alone with passion and enthusiasm, but even with these two attributes, you know what has exactly been missing.
159. Boost Your Customer Experience with Predictive Analytics
In a world where product differentiators are minimal, customer experience is becoming the decisive factor. In a report by PwC, 73% of respondents listed customer experience as important, yet companies are still not leveraging this opportunity enough. Organizations should also consider that 42% of the same respondents said that they are ready to pay more if that guarantees a better experience.
160. AI Is About to Break Your BI Architecture (If You Don't Redesign It First)
AI is about to expose weak BI architecture. "DirectQuery" collapses under machine curiosity. Decision-aligned design is the only way forward.
161. The Hidden Tax of Cloud BI: Zombie Data Movement Between Platforms
Hidden cloud BI cost: data egress between platforms. Learn how “zombie data movement” quietly inflates analytics bills in modern BI architectures.
162. Transforming External Audits with Data Analytics: Power Query, CCH and Risk-Based Audit Planning
Data analytics is transforming external audits using Power Query, CCH and risk-based planning for faster, smarter audits.
163. Website Analytics Are Invaluable for Those Who Know How to Use It Well
Website analytics give you genuine reports and examinations of how your webpage guests act once on your site.
164. How To Launch A New Developer Platform That's Self-Service Software
Enterprise software companies sell very differently today than just a decade ago. Previously, most software was shrink-wrapped, required a lot of effort to distribute and implement, and was sold to an executive who would have to deploy it throughout their department or organization. The buying process involved a long sales cycle and often included pilots, cost-benefit analyses, procurement, and legal reviews.
165. Getting to Know Google Analytics 4: Four Smart Features You Don’t Know About
Let’s take a deeper look into Google Analytics 4 and explore some of its key features that you might not yet know about.
166. Game Analytics – A Tale of Different Faces
This article highlights a number of stories which show the different facets of game analytics that may be good or not so great.
167. How the Conversational AI Analytics will transform the business?
168. Fight COVID-19 with a Free, Fully-Managed Cloud Database
A few weeks ago MariaDB launched their new database-as-a-service (DBaaS), SkySQL, amid the Coronavirus Pandemic. While they also offered a $500 credit to get started, as of last week, they announced a program to offer their fully-managed analytics (columnar based storage) service for free to help fight COVID-19.
169. How To Avoid Manipulating Data Subconsciously: A P-Hacking Story
P value is the probability that the results we are seeing are real and not by random chance. P-Hacking is a term used to describe the scientific manipulation of data to get the desired P value. All of us do this with our experiments, consciously or not.
170. The Tyler Hochman Interview: Building a B2B Workforce Analytics Company
Interview with Tyler Hochman, CEO of FORE Enterprise.
171. Data Lakes Are Crucial to Business Analytics and Big Data Processing
Big data is a sort of Data addition that contains greater variety, arriving in increasing volumes and with more velocity which is also called three Vs. It could explain in several words by severals but actually what stands for it.
172. How to Add Real-time Page Views to Your Next.js Website
If you're searching for a simple and effective method to incorporate real-time page views into your next.js website, you've come across the perfect tutorial.
173. What is Data Collection and What are The Most Important Events to Track
When your company is client-oriented, one of your priority tasks is understanding your clients’ problems and gathering insights on how people use your product and when exactly they benefit from it.
174. What Are Columnar Databases and When Do You Need to Use Them?
In this article you will learn what are columnar databases, why and when do people use them and what are the most common columnar databases.
175. How We Achieved One Million Users In KickRef Without Investing In Marketing
Written by founder and CEO of Kick Ecosystem and KickEX exchange Anti Danilevski
176. We Built Dashboards for the Business. Then the Cloud Bill Built One for Us.
A 90-day BI rebuild that eliminated DirectQuery spikes, optimized 500M-row models, and saved $110K annually through smarter data architecture.
177. Automated Data Catalogs will Help Manage Data in 2022
Data is increasingly playing a dominant role in business. Know how automating your data catalog can help with efficient data management in 2022.
178. Cost Effective Data Warehousing: Delta View and Partitioned Raw Table
The worst nightmare of analytics managers is accidentally blowing up the data warehouse cost. How can we avoid receiving unexpectedly expensive bills?
179. How The Coronavirus Outbreak Is Affecting Our Mobile Society
Credit: Shonagh Rae
180. Using KSQL Stream Processing & Real-Time Databases to Analyze Kafka Streaming Data [A How-To Guide]
Intro
181. How to Leverage Predictive Analytics in Your eCommerce Businesses
Predictive analytics is able to predict which customers are most likely to churn or which products are most likely to be returned. Here are 6 other use cases.
182. How AI Empower Sustainable Growth of the Organisations
The propagation of artificial intelligence (AI) is making a significant impact on society, changing the way how we work, live, and communicate. AI today is allowing the world to diagnose diseases and develop clinical pathways. It is also being used to match individuals’ skill sets with job openings and create smart traffic that leads to the reduction of pollution. There are many examples of applying AI technologies in the sustainable growth of the planet and organisations.
183. Graph Learning News Review: Hot-Topic Facts of Spring 2021 to Take into Account
What does graph have to do with machine learning, and data science? A lot, actually, and it goes both ways.
184. Augmented Analytics & Data Storytelling: Covid Ups FP&A Demand
Businesses need agile tools to quickly identify and communicate actionable insights for more informed decision-making.
185. Capturing Trends in HealthCare at 1mg (E-pharmacy Unicorn)
Recommendation in Healthcare with simple analytics to show most trending products on the platform.
186. Measurement And Attribution Really Matter in 2021: The Hottest CTV Ad Market Trend
How CTV/OTT measurement influences the results and helps in optimization.
187. Ten Reasons You Should Remove Google Analytics From Your Site, and I'm Building a Competitor
I'm working on a leaner and more transparent alternative to Google Analytics without all the privacy baggage. It's called Plausible Analytics and you can see the live demo here.
188. Why Modern BI Architectures Need More Than Just Star Schemas
Modern BI workloads demand more than star schemas. Learn when dimensional models work and when purpose-driven analytical tables improve performance.
189. Measuring Product Impact When A/B Testing Is Not Available
How to evaluate product releases without an A/B test. A trustworthy framework using causal inference, Synthetic Control, and rigorous data guardrails.
190. How Piwik built a Google Analytics alternative out of an open-source project
We discuss Piwik, an open source analytics software and why marketing teams are choosing privacy-oriented alternatives to Google Analytics.
191. How COVID-19 Has Impacted Media Consumption by Generation
Due to the frenzy of pandemic-included quarantines, it’s no surprise that media consumption has seen a massive increase. People’s time that would have otherwise been spent perusing malls or going to live events, is now being spent on the sofa.
192. How To Define HTTP Middleware and Best Practices
In order to capture API calls from arbitrary environments, we had to create middleware for many of the common web API frameworks. Here's what we learnt.
193. Is Your Latest Data Really the Latest? Check the Data Update Mechanism of Your Database
In databases, data update is to add, delete, or modify data. Timely data update is an important part of high quality data services.
194. Kimball & Inmon vs. the Retail Store
195. Stay Smart: Financial Analytics is Critical For SMBs
While everyone dreams of owning a flourishing business, running it successfully is a daunting task. No matter the scale of the business, small or large, maintaining profitably takes a toll. As per the statistics published by the Bureau of Labour Statistics, about 20 percent of small businesses fail during the first year of commencement. More so, in about the fifth year, almost half of them lose the race.
196. Implementing the Four Essential Metrics for Accelerating DevOps
Dr. Nicole Forsgren, Jez Humble, and Gene Kim published the results of their years of research developed upon 23 000 datasets from international companies.
197. The Death of Clicks: Why Google's AI Overviews Are an Existential Threat to SEO
SEO bleeds as Google's AI Overviews steal clicks and authority. Adapt your strategy now, or be erased from the battlefield of attention.
198. Explore the Psychological Principles of UX Design
UX analytics is crucial for developing your product. It provides necessary business information about how exactly your customers use the released application.
199. Data Governance In Advertising Technology: Enhancing Campaign Performance Through Better Data
With bad data, you are sending money out the door to target the wrong audience and generating clicks that do not convert.
200. Small-scale Logs Processing and Analysis
Occasionally you need to process some HTTP server logs and extract analytical data from them.
201. Little Known Truths About AI In Online Lending And Why They Matter
Technology is now one of the essential elements for the growth and development of many businesses. Artificial Intelligence (AI) is an example of such tech becoming popular with businesses, like online lending.
202. Is Your Target Audience Working for You?
How well do you know your target audience? It was Lewis Carroll who famously said, “If you don’t know where you are going, any road will get you there.” While this is a romantic saying, it’s not a realist marketing strategy in this day and age.
203. Visualization of Hypothesis on Meteorological data
In this blog, we are gonna perform the analysis on the Meteorological data, and prove the hypothesis based on visualization.
204. How to Create an Authentic Data Science Project for your Portfolio
Follow me along on how I explored Germany’s largest travel forum Vielfliegertref. As an inspiring data scientist, building interesting portfolio projects is key to showcase your skills. When I learned coding and data science as a business student through online courses, I disliked that datasets were made up of fake data or were solved before like Boston House Prices or the Titanic dataset on Kaggle.
205. Designing Scalable Internal Tools: Lessons From the Frontlines of Ops Engineering
Learn how to scale operations effectively. This guide explores how to streamline workflows and empower non-engineers to move fast without breaking things.
206. Must-Have Personalization Tools for Every Business Enterprise
Business enterprises that want a competitive advantage must have certain tools to enhance their survival chances.
207. What are the most essential tools for new tech entrepreneurs?
This Slogging thread by Yuvraj Malik, Akshay M. Bharadwaj, Will Fang, Jiani wei, Evan Leong and Ansley Miller occurred in product-school's official #06_product_tools channel, and has been edited for readability.
208. How to Gather Actionable Customer Data With Social Media
Before you can start finding things out about your audience, you have to figure out what you want from your social media marketing strategy.
209. Meet the Writer: HackerNoon's Contributor George Anadiotis, Orchestrator
On what it means to be an orchestrator and why the more i get into tech, the more i want to go analog.
210. Beyond Prediction: Econometric Data Science for Measuring True Business Impact
Econometric methodologies model counterfactual consequences upfront so that an analyst can predict what would happen without intervention.
211. Native Analytics On Elasticsearch With Knowi
Table of Contents
212. How to Design an Effective Dashboard: The Essential Guide
Effective dashboard design helps DevOps, SRE and developers easily understand the system and quickly troubleshoot incidents. Here's how to do it right.
213. Geospatial Analysis of Movement Patterns for Mobility & Delivery
How do my users move in this city? Where do they go? What does the “flow” of this city look like? How does that change throughout the day?
214. Level Up Your Logging: The Power of Log Aggregation and Analytics
Explore the world of log aggregation and analytics to transform your data into invaluable insights.
215. Let Data Shed Some Light in the Midst of COVID-19
The burden the COVID-19 novel coronavirus has placed on the world is enormous. There’s a great thirst for information and clarity. So, we at Logz.io have decided to offer a Community COVID-19 Dashboard Project, so that everyone can better understand how the outbreak impacts the world and their region. We see that as a community effort. We invite the global community of engineers and data scientists to add data to this public dashboard that will cover not just the direct impact of the coronavirus on public health, but other aspects of society as well. We want to help everyone better understand the impact of COVID-19 anywhere around the world.
216. How Big Data Can Bring Transformative Improvements to Medical Care
In the healthcare landscape, providers and lawmakers alike are faced with the challenge of making the best possible decisions for patients and the industry as a whole. From choosing the best treatments to using resources in a responsible manner, medical leaders are making decisions on a daily basis that can significantly impact health outcomes and costs.
217. Google Analytics vs Mikros: Exploring Key Differences
All the Key differences between Google analytics and Mikros and highlighted here in this blog
218. Leveraging AI for Insights-Driven Organizational Efficiency Gains
With modern-day work largely centered on digital platforms, automating the handling of big data has become more important than ever. This is where Artificial Intelligence (AI) comes in— performing tasks more efficiently by imitating our abilities to learn and solve problems. As technology advances at breakneck speed, fueled by the IoT environment, it has paved the way for a synergistic relationship between Artificial Intelligence and Big Data.
219. How to Define Data Analytics Capabilities
Disclaimer: Many points made in this post have been derived from discussions with various parties, but do not represent any individuals or organisations.
220. 9 Must-Have Tools to Boost Conversions for 2022
Boosting conversions is an important part of growing your business and having the right tools to boost conversions is crucial to meeting your objectives.
221. Understanding the tech behind Snowflake’s IPO and what’s to come
By now you must have read quite a few articles about Snowflake’s absolutely mind-blowing and record-setting IPO. This article is not intended to speculate on whether the valuation makes sense or not, but rather help you understand the technological concepts that make Snowflake so unique, and why it has proven to be so disruptful for the data space in general and the data warehousing space in particular.
222. Can Big Data Solutions Be More Accessible And Affordable?
Below you can find the article of my colleague and Big Data expert Boris Trofimov.
223. Harnessing the Power of Data Science in Sports
Data Science and analytics in the sports market is expected to increase to $2.93 billion at a rate of 20.65%. According to a survey conducted by KPMG, 97% of sports professionals believe that technology, including data science and analytics, will have a significant impact on the sports industry in the coming years.
224. Designing Economic Intelligence: Econometrics-First Approaches in Data Science
Economic intelligence is embedding a structured way of reasoning into decision systems.
225. How I Audit Startup Funnels in 1 Hour to Find Their Leaks
Quick 1-hour method to audit startup funnels and find conversion leaks for SaaS and growth-focused companies.
226. How To Get Real-Time Analytics By Consolidating Databases
Benchmark a Hybrid Transactional and Analytical RDBMS (Photo: Sawitre)
227. Knowledge Graphs Exemplify the Emphasis on Knowledge and Connections
Towards a Knowledge Graph economy. The Year of the Graph Newsletter, Summer 2020
228. 6 Tips for Working With Analysts and Data Engineers
What work does a data engineer actually do? Let me tell you one thing: it’s not what you think they should be doing, especially not the part where they are running around collecting data for you or building yet another one of those dashboards that will only be used for a few weeks.
229. Architecting a Thousand-Node Data Orchestration Platform to Accelerate Game AI Training at Tencent
Tencent has implemented a 1000-node Alluxio cluster and designed a scalable, robust, and performant architecture to accelerate the game AI training.
230. Data Rules: Exploring the Interplay Between Data, Economy, and Society in the Digital Age
“Data Rules” is a book about the relationship of data with economic institutions and society, but also about the interplay with data technologies
231. 4 Ways You Are Probably Doing Product Analytics Wrong
An article that I read recently stated that 41% of businesses struggle to turn data into decisions. This got me thinking about my own experience with product analytics.
232. Using User Data After Google's Third-party Cookies Ban
Google announced that it would ban the usage of third-party cookies; it has made a lot of publishers afraid that they won't be able to utilize user data.
233. Car-Free Spaces Bring Me Joy with Noonies Nominee Konstantin Sokolov
In addition, I have been interested in the functioning of our brain for a year now and have read a lot about it. That's how I came across the cognitive biases.
234. The five-stage maturity model for achieving Industry 4.0 transformation in manufacturing
Use this five-stage maturity framework to validate, benchmark, and map your company’s progress toward digital maturity and leadership.
235. 7 Gotchas(!) Data Engineers Need to Watch Out for in an ML Project
This article covers 7 data engineering gotchas in an ML project. The list is sorted in descending order based on the number of times I've encountered each one.
236. What I Learned From My Best Blog Articles in 2022
My 2022-year-in-review for blogging. It covers my top posts from this year, top all-time posts by traffic, and the insights I’ve gleaned from the data.
237. Optimizing Database Performance with MariaDB ColumnStore
Get started with data analytics using the open-source MariaDB database and the ColumnStore engine all running on Docker
238. From SEO Playbooks to GEO Architectures
How GEO (Generative Engine Optimization) is reshaping visibility. Why the next decade belongs to brands trusted by both humans and machines.
239. Fraud Anomaly Model: A Powerful ML Tool for Detecting Unusual Activity
Comprehensive and insightful approach to fraud detection using the Anomaly Model but also explains detailed the limitations of traditional fraud prevention
240. Do You Need All This Data?
A “lean data” strategy is necessary for today’s e-commerce businesses to stay nimble, avoid “data muck” and not be bogged down by too much data.
241. 6 Ways to Increase Revenue in 2020 with Market Intelligence Data
Data analytics tools are increasingly being used in businesses, but many people still make critical decisions based on assumptions and guesses. The most common reason for this is the lack of a single, integrated source of information that gives executives accurate and consistent data whenever needed.
242. Plausible is Paving the Way for Ethical Analytics
One of the trickiest things for companies or really anyone running a website is figuring out the success of their site, how many visits they are getting, and how they got them, while at the same time respecting their visitor’s privacy.
243. Landing Page Analytics: Why Traditional Tools Fail
Most of us default to Google Analytics, Mixpanel, or similar tools because they're familiar and comprehensive. But here's the thing: landing pages aren't websit
244. [Everyday Tech Solutions] Turning Feedback Data into Actionable Advice
If you're working on something that users actually use, then you're most likely also acquiring data en masse. When it comes to free text feedback, this data might get lost or stay in the hands of some analysts. How to take a few easy steps, to turn that data into actionable steps instead.
245. Commoditized Data Integration And How To Achieve It
Most engineers in their professional life will have to deal with data integrations. In the past few years, a few companies such as Fivetran and StitchData have emerged for batch-based integrations, and Segment for event-based ones. But none of these companies have solved the problem of data integrations, which becomes more and more complex with the growing number of B2B tools that companies use.
246. How to Find and Leverage Your Most Popular Pages
Learn easy ways to find and leverage your most popular pages to maximize the organic traffic to your website and boost sales for your business.
247. How Measuring Impact Can Facilitate Responsible Businesses
Discover how Impactful's CTO pioneers eco-friendly business analytics for a sustainable future in our insightful interview with Slav Dunaev.
248. Optimize Power BI Reporting and Designing
As a data analysis tool, Power BI comes loaded with plenty of report generation and design features. However, do not rely on the default settings of the tool.
249. 4 Common B2B SaaS Marketing Analytics Mistakes and How To Avoid Them
Whenever we talk to prospects about what’s broken in their marketing efforts, 8 out of 10 tell us analytics and attribution. How to fix 4 common pitfalls.
250. How to Create a Data Analytics Strategy to Grow Your Business
Are you building a Software-as-a-Service platform? Wondering what data is essential for your business? Time for a Data Analytics Strategy.
251. 5 Things You May Not Know About Google Page Speed Tools
Good news is you know Google Page Speed tools exist and, probably, wonder how to use them to improve your website. Though there is much information out there about the performance tools and website performance analytics, it may seem a bit confusing. We gathered the most important facts to help you understand the topic and use it to your advantage. Whether you are a marketer or a developer, keep on reading as we may have one or two new things here you didn't know.
252. Hacking Your Analytics: Top Barriers in Harnessing the Power of Data
An infographic to take a look at how to use more of your organization's data with Google Analytics 360 to form solid data based business decisions proactively.
253. How To Choose The Right Business Intelligent Tool
In this blog, we look at strategies for selecting the right BI tool as well as some important things to keep in mind throughout the process.
254. Dear Marketer: Every Average Lies, You Must Go Deeper
“It’s a basic truth of the human condition that everybody lies. The only variable is about what…”
“Truth begins in lies…"
255. How to Generate Sales from Inactive Customers and Boost E-commerce
What does marketing automation mean? Are activities planned triggered on user-generated events. Simple and clear.
256. Writers Are Not My Target Audience: Here's Why
Writers don't want artificial intelligence products. Why would they? They're losing their jobs to them.
257. Overcoming Challenges Running the Disaggregated Analytics Stack in K8s
Alluxio brings back data locality for the disaggregated analytics stack in K8s.
258. Your Analytics Stack Is Shipping Interpretation Bugs
AI dashboards can turn unstable metric definitions into trusted operating decisions before teams agree on what the numbers actually mean.
259. Setting Up Notification Systems to Observe and Analyze Your Application
By building observability and analytics into your notification system, you can identify and quickly resolve issues by monitoring how your product is performing.
260. Subscription Analytics: Build Versus Buy
Everything you need to consider before you’re ready to make the Build vs Buy decision for your subscription analytics platform.
261. What Working on an Analytics Product Can Teach Us About Data
The ubiquity of analytics hides potential complexity underneath, especially when you start to consider products where the analytics are more front and centre.
262. How Pandemic Testing Protocols Vary Across The USA
To determine how testing protocols for COVID-19 vary across the United States, we sent requests under public records laws to all 50 states, New York City, and Washington, D.C. The requests were sent to health departments the week of March 16 and were identical. The database below contains responses we have received, as well as publicly available guidance from some jurisdictions.
263. The Qnum Analytics Team On Turning A Side Gig Into A Full Time Business
The team behind Qnum Analytics, tool leveraging AI to help businesses fix leaky inventory buckets, shares their origin story and what makes their team special.
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