Let's learn about Business Intelligence via these 156 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology.
Business Intelligence (BI) involves the use of data analysis and reporting tools to provide actionable insights that inform strategic business decisions. It empowers organizations to understand market trends, customer behavior, and operational efficiency.
1. Power BI: Two ways to Union Tables - DAX and Power Query
Combining data from multiple tables is a common requirement in Power BI. There are two primary methods to achieve this task.
2. Scaling the Development Team Alongside Business Growth: From the Ground Up to Market Entry

Explore the intricacies of product-led tech companies' development dilemmas, from forming the right team and choosing development paths to scaling efficiently.
3. Understanding Embedded Analytics: Definition, Benefits, and Use Cases
Learn about crucial features, requirements, and the decision-making process for selecting the ideal embedded analytics solution for your software.
4. How to Specify Data Format in Excel with Python
Learn the art of efficient data management with Python's xlsxwriter.
5. Eliminating Difference Between Business Intelligence analysts, Data Analysts or Data Scientists đ
There was a time when the data analyst on the team was the person driving digitalization in an adventurous data quest...and then the engineers took over.
6. Top 30 Business Intelligence Consulting Companies
In the information age, data is a vital source for everything: from housekeeping to business management, people need to stay tuned in order to survive. But the tricky thing is that the amount of data available both offline and online is so huge it cannot be traced manually anymore, and it continues to grow. According to Raconteur, each day we publish 500 million tweets, send 294 billion emails, and make five billion search requests. The amount of data generated daily is expected to reach 463 exabytes by 2025. The numbers are mind-blowing, and the first question to arise is: how do we process all this data?
7. How to Customize Embedded Business Intelligence For Your Business
Choosing the right analytics solution is important for empowering users to access valuable insights without leaving your application.
8. How To Deploy Metabase on Google Cloud Platform (GCP)?
Metabase is a business intelligence tool for your organisation that plugs in various data-sources so you can explore data and build dashboards. I'll aim to provide a series of articles on provisioning and building this out for your organisation. This article is about getting up and running quickly.
9. How to Build a Winning Proposal for a Data Quality Project
Build a winning data quality project proposal with clear goals, strong justification, and proven strategies that secure leadership approval and drive success.
10. 5 Main Uses of Generative AI in Business Intelligence & Data Analytics
In this article, weâll explore 5 main use cases of generative AI in business intelligence and data analytics and how real companies are making use of it.
11. Boosting Customer Loyalty: Key Lessons Learned from a 20% NPS Drop
Learn how Atlas, a biomedical holding company, found growth opportunities for their genetic testing products, and the results they encountered along the way.
12. Power BI: How to Create Dynamic Show Hide Slicer Panel
Learn how to optimize space in Power BI dashboards with a dynamic slicer panel. Enhance usability and streamline data exploration!
13. What the Heck Is Malloy?
Malloy is a new experimental language for describing data relationships and transformations created by the developer of Looker.
14. The Power of Data Visualization for Tech Companies. Is Your Strategy Up to Par?
Discover how data visualization transforms raw data into actionable insights for tech companies, driving better decisions and competitive advantage.
15. How to Use Pyinstaller to Create an EXE File
As a Data Analyst, one common challenge I face is trying to share a python script for data processing with colleague.
16. Common Pitfalls in Setting up A/B Tests
Identify common A/B testing pitfalls and learn to over come them.
17. Top 8 Best Qlik Sense Extensions
Qlik Sense is powerful data visualization and BI software. But sometimes its functions are not enough. Meet the best Qlik Sense extensions to do more with data!
18. How to Fetch SAP Business Objects Universes Using Python
With the RESTful API, developers can perform operations like fetching information about reports, universes, folders, scheduling, and other BI-related entities.
19. How to Use Python to Retrieve Data Through Tableau REST API
In this blog, we will walk through the process of using Python to extract data from the Tableau Server
20. 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?
21. 30 BI Engineering Interview Questions That Actually Matter in the AI Era
The BI interview hasn't caught up with the job. Here are 30 questions that reflect what it actually means to be a BI engineer in 2026.
22. BI Analyst Interview Questions And Answers: 2020 Edition
Why you should prepare for BI analyst interview questions?
23. How I Scraped YouTube Comments with Bright Data to Understand Customer Sentiment
Learn how to scrape YouTube comments using Bright Data and Python.
24. An Internal Email to Tim Cook and the State of Business Intelligence
We get a glimpse into the inner workings of a valuable company and it turns out it's not all sunshine and rainbows.
25. AI Is Now Powering Handwriting for Businesses
Technological advancements have been making waves lately. AI is now powering handwriting for businesses by taking over the process. Find out more here
26. 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 arenât 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.
27. 7 Benefits of AI-Enabled Document Management Systems
Traditional cabinets â stuffed with contracts, vendor agreements,
onboarding paperwork, and other documents â are harming productivity even in 2020. According to Xerox, SMBs waste 46% of their time dealing with document management issues. In this article, I'll explain how you can maximize workplace efficiency by switching to an AI-enabled document management system.
28. Uber to Netflix: The Basics of Billion Dollar Business Models
Do you know what distinguishes Billion-dollar companies like Uber, Amazon, Netflix, Airbnb, etc. from other companies? Their effectively created & implemented business models. Business models that are flexible. Revenue generation models that react to the varying needs of customers.
29. Using Python to Refresh Tableau Dashboard
In most cases, Tableau tasks are scheduled to run at designated times, however, there may be occasions where the flexibility is not sufficient.
30. How to Modify the Number of Rows Fetched by SAP BusinessObjects Report
If your BO Report exceeds the 5000 rows, you may miss out on critical data or insights.
31. Why Data Anomalies are More Important Than You Think
It is easy to be annoyed by strange anomalies when they are sighted within otherwise clean (or perhaps not-quite-so-clean) datasets. This annoyance is immediately followed by eagerness to filter them out and move on. Even though having clean, well-curated datasets is an important step in the process of creating robust models, one should resist the urge to purge all anomalies immediatelyâââin doing so, there is a real risk of throwing away valuable insights that could lead to significant improvements in your models, products, or even business processes.
32. Top Tableau Consulting Companies on the Market in 2020
Business intelligence has become an indispensable part of successful businesses, and the sooner executives recognize data as a crucial component of decision-making, the sooner they will be able to improve their operational processes.
33. How to Automate SAP Report Extraction with PyAutoGUI
Automating SAP GUI with PyAutoGUI involves using the Python package to simulate mouse clicks and keyboard inputs.
34. How to Fetch a List of SAP BusinessObjects Schedules Using Query Builder
To retrieve a list of SAP Business Objects schedules using Query Builder, you can execute a query against the repository database.
35. Digital Marketing: Empowering Decision-Making with AI-Driven Data Analytics
AI-powered data analytics revolutionizes digital marketing by enabling real-time insights, predictive analysis, and personalized strategies
36. Meet Oxylabs: HackerNoon Company of the Week
Meet Oxylabs, a business intelligence software company and HackerNoon's Company of the Week.
37. Talk Data to Me: The Art of Analytics Translation
As organizations increasingly rely on data, the demand for analytics translators is skyrocketing, making it a must-have role for future success. Think of an ana
38. 5 Things to Watch Out for When Implementing Tableau BI
Has your organization decided to adopt and implement the Tableau BI platform, namely its Tableau Server and Tableau Online versions?
39. What is Web Data Collection?
Everything you need to know to automate, optimize and streamline the data collection process in your organization!
40. Deep Dive Into Open Source BI Tool Helical Insight
When Helical Insight first announced a couple of years ago that they were releasing an Open Source Business Intelligence (BI) tool, it really caught my interest and I reached out to founder Nikhilesh Tiwari to find out more about what he was doing. I spent a little time with the product and really liked where it was going and was determined to do more of a deep dive in the future, and with their release of version 3.0, that time is now.
41. Python Web Scraping in SAP Business Objects CMC: Getting the List of Schedules
Recently, I faced a mission: organizing all SAP Business Objects schedules into an Excel file. The manual process was tedious, so I made a solution using python
42. 3 Ways You Can Build and Update Websites Using Data Pushes

Data is getting more and more accessible and is increasingly being used to inform the way businesses operate.
43. Top 4 Real-time Applications of Machine Learning in 2022
This article looks into the best machine learning applications in various industries and the real-life application of machine learning in detail.
44. Unlocking SAP BusinessObjects Data: The Full Guide to Retrieving Documents with Python
This blog post delves into the world of SAP BusinessObjects and Python, demonstrating a step-by-step approach to retrieve a list of documents effortlessly.
45. The Five W's for Setting KPIs
KPIs serve as the foundation for your data strategy, guiding you towards the metrics that matter.
46. How to Understand What Your Customer Is Thinking
Understanding the customerâs real needs has become one of the trickiest business tasks, but without it, even the brightest business idea would not be successful
47. 20 Herramientas de Inteligencia Empresarial (BI) mĂĄs Populares en 2020
Business Intelligence (BI) es un negocio basado en datos, un proceso de toma de decisiones basado en datos recopilados. A menudo es utilizado por gerentes y ejecutivos para generar ideas procesables. Como resultado, BI siempre se conoce indistintamente como "Business Analytics" o "Data Analytics".
48. OSINT: What You Can Find About a Person from Public Sources
The range of OSINT applications is limited only to your imagination: from background checks on business partners to reuniting with long-lost relatives
49. 4 of the Best Ways to Use AI in Business
Artificial Intelligence (AI) has created a lot of disruption in the business world.
50. When 300 Stores Printed at Once: Debugging a 350% Compute Spike in Power BI Fabric
A real-world Power BI Fabric incident: How XMLA reads from paginated reports caused a 350% compute spike and how a lean model solved it.
51. The Risky Business of Breaking New Ground in Your Industry
Risky Business: Breaking New Ground in Your Industry
52. Enhancing Data Preparation With AI for Business Intelligence
Learn how data-centric AI can help automate data preparation for business intelligence, ensuring reliable conclusions for subsequent data analysis with Cleanlab
53. Breaking into Deep Learning: Transforming the World Without Expert Input
Deep learning is a subdivision of machine learning in which Artificial Neural Networks (ANNs) learn from a huge influx of data to produce high-quality output.
54. Tailor Your Data Visualization Design Choices for Key Stakeholders to Create Organizational Buy-In
A guide to effective deployment of data visualizations in organisations for maximum business value. Adapted from Data Principles To Practice Volume II
55. Grafana Vs. Kibana Vs. Knowi: Battle Royale 2020
Intro: Grafana vs Kibana vs Knowi
56. I Gave 5 Teams the Same Dashboard - Only 1 Made a Decision With It
Build for the decision, not the data. If you can't name the specific decision a dashboard is supposed to support, you're building a museum exhibit
57. 98% of Data Strategies Fail: Let's Fix It
Learn how to fix failing data strategies using the '5 W's' framework. Transform your approach to KPIs and drive real business value with actionable insights.
58. Transforming Health Insurance with AI-Driven Business Analytics: A Case Study in Digital Excellence
Ruchi Mangharamani cut fraud by 35% and boosted efficiency with AI-powered analytics, redefining decision-making in health insurance operations.
59. State of Interactive Product Demo Software: The Good, the Bad, and Whatâs Behind the Brands
Interactive product demos are transforming the way businesses engage with customers.
60. 5 Real-World Examples That Prove That Business Intelligence Really Works
Discover real examples of implementing business intelligence technology in companies such as Coca-Cola, BBK and more. Find out how to get started!
61. The Lifecycle of a Data Warehouse
We're about to embark on the fascinating journey of building a data warehouse, guided by our adept Data Architect.
62. Tableau Vs. Power BI: The Complete Comparison
The world of analytics is continually evolving, introducing new goods and adjustments to the modern market. New companies are entering the market and well-know
63. How to Use Python Automatically Get the Sap BO Temporary License keys?
Unlock the secrets of SAP Temporary License Keys with a guide on acquisition and automated retrieval using Python. Stay compliant effortlessly!
64. I Interviewed 6 People Who Use Our Data Platform. They All Described a Different System.
We built one data platform. Six users described six completely different systems. Here's what that gap costs, and why documentation won't fix it.
65. 3 Key Advantages of Open-Source Intelligence
The field of business intelligence has been growing quickly, and data mining is a huge source of income for technology companies and others. When businesses nee
66. Non-Linear Competition In A Tech-Driven Business World
How the competition works in the long-term, and how competition is non-linear in a tech-driven business world
67. Are You Prepared to Respond to Advanced Security Incidents?

68. From Quantum Computing to 5G - The Top 10 Digital Transformation Trends in 2021
Where is the new road going to take us? We cannot be entirely certain, but in 2021 these trends in digital transformation are likely to be relevant.
69. 6 Tips to Get More Value Out of Your Microsoft Power BI Dashboard & Reports
By using Microsoft Power BI, you increase the efficiency of your company through its interactive insights and visual clues. Here are 6 tips for Power BI users.
70. How To Turn Data Into Actionable Insights For Business Growth
In this guide, I'll share the most efficient techniques and tools to turn data into actionable insights that you can use to grow your business.
71. Understanding Data Lineage: Key Strategies for Ensuring Data Quality and Compliance
Data lineage refers to the process of tracking data from its origin to its destination, including all transformations and movements in between. It is crucial fo
72. How Midsized Companies Can Make the Most of AI

73. 5 DBT Repositories You Need to Star on GitHub
The 5 hottest dbt Repositories you should star on Github 2022 - Those are mine!
74. Hacking The Psychology of Business Names
What's in a name? It's important to figure out how to pick the best name for your business.
75. Why âGoodâ Performance Metrics Might Be Killing Your Business
Traditional performance testing isnât enough. Learn how a holistic approach that includes UX, business impact, and resilience testing leads to real success.
76. From Data Chaos to Clarity: The Data Marketplace vs. Data Mesh
Unleash the power of data! Explore the Data Marketplace, an alternative to Data Mesh that prioritizes collaboration, clarity, and value for informed decisions
77. 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.
78. Self-Service Business Intelligence and How to Do It Properly
Self-service business intelligence, or BI, has been on the to-do list of many organizations for quite a while.
79. Skilled Workers Sound the Alarm as Immigration Reform Sparks Record Petition Response in UK
Skilled workers across the UK are pushing back against proposed immigration reforms, as a petition opposing the changes hits 100,000 signatures in just two days
80. ChatGPT Is Gaslighting You With Math
Is AI gaslighting you with arithmetic? A Business Intelligence Analyst reveals the "shortcut" design that makes ChatGPT confidently wrong and how to fix it.
81. Has Long-Term Business Planning Become Obsolete?
I cofounded a Ukrainian company, so life has drastically changed for my team since the beginning of the war. While reflecting on the lessons I learned over the last year, I recognized that long-term planning doesnât work now as it once did. And not just for Ukrainian companies. So, I decided to give this idea proper attention, and thatâs how this article was started.
82. The Spy Mission: A Guide for Analyzing Your Competitors
Discover smart strategies and essential tools for conducting thorough competitive analysis in the business world.
83. 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.
84. The Hidden Tax of Cloud BI: Zombie Data Movement Between Platforms
Hidden cloud BI cost: data egress between platforms. Learn how âzombie data movementâ quietly inflates analytics bills in modern BI architectures.
85. 5 Steps to Master Customer Intelligence in 2021
Customer intelligence is the process of gathering and analyzing customer data.
86. Robotic Process Automation BI Facts And Myth
According to a recent study from Harvard Business Review, there's an immense appetite for learning from your company data. Regardless of industry, decision-makers worldwide know they can harness data to make the right strategic calls, whether they are corporate leaders, salespeople, nurses, or technicians.
87. Understanding Nested IF vs. SWITCH in Power BI: A Comparative Analysis
Comparing nested IF statements and SWITCH function in Power BI for efficient conditional logic and data analysis.
88. Conversational Analytics: the Next Generation of Data Analysis and Business Intelligence
The article talks about how data analytics is evolving at workplaces from traditional querying , excel and dashboards to natural language conversations
89. Conversational Data Analytics with SQL Embeddings
Dashboards show what happened. SQL embeddings remember how you figured it outâand let AI start there next time instead of guessing from scratch.
90. Listen to That Poor BI Engineer: We Need Fast Joins
Yes, you can expect fast joins from a relational database.
91. From Raw Data to Actionable Insights: The Power of Data Aggregation
This article examines data aggregation processes: collecting data to present it in summary form.
92. The Most Dangerous "AI" in Business Intelligence is the One That Sounds Right
Fluent AI answers can quietly violate BI rules. This story shows how unanchored AI creates silent governance failures in enterprise analytics.
93. How to Use the os Module for High-Level File Operations Such as Iterating, Moving, and More
The os package in Python offers powerful capabilities for file and folder operations, allowing developers to efficiently manage file system tasks
94. Introducing Conversation.ai
This post has been authored by Aakrit Vaish, Co-Founder & CEO of Haptik
95. What Future Business Investors can Learn from Past Trends
If you want to protect your assets and seize opportunities during major crises, you need to consider the consequences.
96. 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.
97. Mastering the Art of Data: Lessons From the Kitchen
Discover how Michelin-star chef Massimo Bottura's approach can revolutionize your data strategy. Learn to craft unique, impactful data initiatives for your tech
98. Meet the Writer: Rupesh Ghosh on Turning Real BI Crises Into Impactful Tech Stories

99. Lifecycle of a BI Report
Sam, a savvy Business Analyst, embarks on a mission to craft a BI report. Through his adventure, we'll unravel the captivating lifecycle of a BI report.
100. Essential Cybersecurity Measures Every Modern Business Should Take
No business can remove all cyber risk, but every business can make smart moves that reduce it.
101. New Power BI Features For More Streamlined Data Analysis
Here are the new features of Power BI (unveiled at the Microsoft Ignite 2021) that can be absolutely beneficial for business users.
102. Can Machine Learning Predict Loan Defaults?
Visualize Insights and Discover Driving Features in Lending Credit Risk Model for Loan Defaults
103. The HackerNoon Newsletter: Prompt Injection Still Beats Production LLMs (3/6/2026)
3/6/2026: Top 5 stories on the HackerNoon homepage!
104. Microsoft's Power BI for Business: Features, User Experience And Pricing
All you need to know about Power BI Features, Benefits, Use Cases and pricing. A Comprehensive Guide to Power BI and how it stacks up to Microsoft Excel
105. Why Most âData-Drivenâ Companies Still Make Bad Decisions
Many companies claim to be data-driven, yet decision-making is still slow and manual. Hereâs why data alone doesnât guarantee better business decisions.
106. Maps, Gold and Spices: Why Neglecting Documentation Can Shipwreck Your Project
Explore the historical significance of maps in exploration and the modern-day necessity of technical documentation in software development.
107. The Report Was Perfect. The Decision Cost Us Millions.
A realistic BI war story showing how a perfect dashboard led to a costly decision and why semantic governance matters in self-serve analytics.
108. British Cybersecurity Firm Darktrace Goes Public
Darktrace affirmed on Monday that it intended to float on the London Stock Exchange to raise new funds and for the acceleration of product development.
109. How Enterprises Can Accelerate Data Initiatives and Drive Growth in 2025
Boost your competitive edge with data acceleration. Learn how fast processing, GPU-powered tools, and strategic insights drive growth and innovation in 2025.
110. 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.
111. How Public Web Data Can Improve Your Sales Intelligence
Sales teams must have relevant information about prospects to engage them appropriately. In this article, Iâll explain how to get it.
112. Business Intelligence Is So Important For Development In Healthcare: Here's Why
Only well-implemented EHR systems with built-in analytical software, served by professionals, can quickly extract information with decision-making potential.
113. How to Use Business Intelligence: 66% of Companies Want to Be More Data-Driven in 2021
How do BI solutions help to make the decision-making process driven by data, improve CX, and speed up reporting? And how can you implement it yourself?
114. I Stress-Tested 5 Data Catalogs With Real Governance Scenarios. Most Failed Silently.
"Governance is a process problem wearing a tool costume." I tested 5 data catalogs against real data incidents. Here is what actually broke.
115. How BI Snapshots Turned Our Workspaces Into Time Capsules - Until Org Apps Fixed It
A real Power BI story on how snapshot reporting forced workspace duplication, and how Org Apps finally fixed the architectural problem in Microsoft Fabric.
116. From Data Mess to Data Mesh: How to Optimize Business Intelligence
Digitization as a trend means the world is now generating more data than ever before. How said data is managed is crucial for business and individuals alike.
117. The Direct Lake Mirage: What Really Happens at 99 Million Rows
A real 99M-row benchmark reveals why Import Mode still outperforms Direct Lake in Microsoft Fabric and what the engine truth means for your BI architecture.
118. Effective Strategies for Monitoring Machine Learning Models in Businesses
Model monitoring can be a tricky business, use these 3 strategies to level up your MLOps.
119. How To Choose The Right Business Process Automation Technology
This article will give you some insight into what to look for when selecting business process automation software to enhance your productivity.
120. The Role of Business Intelligence in AI
Business Intelligence (BI) is a multifaceted approach that involves the gathering, processing, analysis, and visualization of data to derive actionable insights
121. The United Kingdom's New National Data Strategy (Summary and Analysis)
This Article is a Summary for the official National Data Strategy release here
122. How IoT Can Help You Grow Your Business
Internet of Things has become quite a buzzword these days. But what exactly is IoT, and how can it help you grow your business to new heights?
123. Strategies and Best Practices for Ensuring Data Consistency

124. How Innovative Technologies are Changing the Fintech Landscape
Tech advancements have transformed our lives and the financial industry. Fintech with blockchain and AI have revolutionized how we transact and manage finances.
125. 8 Tools To Improve Business Reporting
Based on the best reporting tools criteria, I selected eight top reporting software, arranging from free and open-source to commercial, specialized in different
126. Moving From the Flat Earth: Why We Should Switch to Data-Driven Finance
Businesses should switch from linear formulae to data-driven finance. This will allow companies to not only get an immediate revenue boost!
127. The HackerNoon Newsletter: The Paycheck Era is Dying (11/5/2025)
11/5/2025: Top 5 stories on the HackerNoon homepage!
128. What Is Modern Business Intelligence?
This article gives insight into some basic features and functionality that a desirable modern BI software has and illustrated some examples.
129. Startups of The Year 2024: 23,222 Startups Nominated in the Business Intelligence Industry
HackerNoon is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the Business Intelligence industry.
130. Business Intelligence vs. Data Analytics: Deciphering the Distinction
Draw a line between Data Analytics and Business Intelligence â compare their scope, capabilities, use cases, and potential for business decision-making.
131. Emotions and Evolution: The Paradoxical Nature of Human Behavior and Decision-Making
Explore the intricacies of human behavior and decision-making, uncovering the evolutionary illogicalities behind our actions.
132. Business Intelligence Strategy: 5 Easy-Steps to Make it More Effective
BI is without any doubt the emerging warrior of businesses against their fight to conquer the online world. It can give edge over their competitors.
133. IoT Trends in 2021: Driving Innovation in Businesses
Here are the latest IoT trends and key predictions of how the Internet of Things will drive digital transformation of business in 2021.
134. AI-driven Features with the Highest Potential for Enterprise Development
Enterprise players across all industries are eager for optimization and improvement of their business processes: administration, customer service, marketing, sales, recruiting, and others. Today AI-driven software can cover the most common Enterprise needs like data security, data processing, resource optimization, and brand awareness. Forrester has reported that AI is also able to improve customer service and quality of existing products, increase revenue streams, and customer lifetime value.
135. How Businesses Are Turning Space Data into a Tool for Risk, Resilience, and Sustainability
Satellites are reshaping insurance, supply chains, and sustainabilityâhereâs how space data became core to global business strategy.
136. Translating Data into Actionable Insights: Development of Data Studio Connector for FreshSales Deals
Startups lack resources. They start small, think big and wish to scale fast. At the same time, they expect data and analytics to lie at the heart of their decision-making process.
137. A Brief History of Computing and Data Analytics - From Punch Cards to the "Modern Data Stack"
A journey from the origins of computing and data analytics to what we now call the "Modern Data Stack". What comes next?
138. The Role of Machine Learning in Data Cleaning
There are stages in the data cleansing process where machine learning can not only automate workflows, but influence decisions, and achieve better results.
139. I Defined the Same Business Metric in 4 Semantic Layers. 3 of Them Disagreed.
Define the metric once, in one place, and every tool (and every AI agent) that queries it gets the same answer.
140. The Impact of AI on Enterprise Data Management
Discover how AI transforms enterprise data management through automation, governance, analytics, and security for future-ready businesses.
141. Do You Need All This Data?
A âlean dataâ strategy is necessary for todayâs e-commerce businesses to stay nimble, avoid âdata muckâ and not be bogged down by too much data.
142. We Built an AI Engine That Picks the Best Chart for Your Data
We built an AI engine that suggests the best chart for any dataset using rules and LLMs. No guessworkâjust smarter, clearer data visuals.
143. Meet Leonado Limited, Worksible, Sereda.ai: HackerNoon Startups of the Week
This weekâs top startups: Leonado Limited, Worksible, and Sereda.ai - redefining business, work, and HR with innovation and AI.
144. Generate High-Quality Consumer Insights Through Secondary Research
The world of product development is obsessed with âtalking to the customer.â While it's not possible to talk to all of them, you can follow a trail left by them
145. Is Your Business Suffering from Big Data Burnout? 5 Ways to Democratize Data
With so much data available at your fingertips, if you fail to implement a strong system, your business is at risk of suffering from big data burnout.
146. Embedded data analytics and reporting tools that empowers Business analysts
Embedded data analytics and reporting tools that empowers Business analysts
147. 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.
148. Benefits of Business Intelligence in Leading Your Engineering Team
Todayâs business world is increasingly (and dizzyingly) complex. Traditional methods of navigation through this complexity are obsolete. C-suites admit that they donât have enough of the right information at the right time, because their inner reports are no longer reliable.
149. The Unseen Battleground: An Architectâs Retro on Streaming 1 Billion Minutes of Live Sports
Streaming 1B minutes of live sports: hard choices, scars, and lessons in building real-time, petabyte-scale systems.
150. 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.
151. 8 Key Factors That Justify The Unparalleled Growth Of The Managed Services Market
More and more businesses are willing to cut down their costs by hiring managed service providers. Here's why.
152. Cynomi Study Predicts Fivefold Growth in Virtual CISO Services by Next Year
Cynomi, the leading AI-powered vCISO platform vendor for MSPs, MSSPs, and consulting firms has published its first annual report.
153. How to Collect and Leverage Qualitative User Feedback
For any Saas business or company selling digital products, collecting user feedback is critical.
154. 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.
155. Opportunities And Challenges of Integrating Power Business Intelligence
Powerful, affordable, effectiveâthese are just three of the terms used to describe Microsoftâs Power BI data visualization platform. Its status as a world-leading business intelligence tool supports all the positive hype to be found across the IT media world.
156. The HackerNoon Newsletter: How to Improve Your Debounce and Get It to Stop Lying to You (3/31/2026)
3/31/2026: Top 5 stories on the HackerNoon homepage!
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