Business Intelligence

What is BI?

What is Business Intelligence?

BI Helps You:

  • Boost revenue
  • Stay competitive
  • Manage data
  • Make informed decisions

Boost revenue

Business intelligence (BI) is a term that encompasses the tools, techniques and technologies for collecting and organizing enterprise data for enterprise reporting and analysis.

A company investing in business intelligence seeks to boost revenue, improve performance and grow its business by harnessing transactional and operational information.

And there’s another definition.BI is a discipline and a commodity — your company’s data is your business intelligence, to put it simply. But is all data business intelligence?

Business intelligence is timely, accurate, high-value and actionable information, and the tools and technologies to gather it.

  • It must be timely — available on demand. Time is money, and nowhere is this more pertinent than in business.
  • Business intelligence must be accurate. Erroneous or missed values could result in wrong decisions that hurt business.
  • It should be business-critical. How many offices you changed in the past ten years isn’t essential, but how many stores you have on the East Coast matters.

Business intelligence gives information on your performance and operations — the two areas that impact your bottom line.

With the correct information, you can optimize spending by spotting business-critical campaigns that aren’t doing well. You can get accurate market intelligence if you plan to diversify.

Stay competitive

When some stores sell better than others, you want to replicate their success. Diving deeper into your operational data reveals these outlets have more female employees. Could it be a reason?

Netflix keeps you glued to your screen by consistently offering new viewing recommendations. The platform matches your preferences with new releases by tracking your viewing preferences.

It’s business intelligence at its best — influencing customer behavior to boost usage. And there’s Spotify. Need we say more?

  • BI includes market intelligence that helps you understand the industry’s workings and what drives it.
  • Aligning product development, marketing campaigns and sales strategies with prevailing trends keeps you competitive.
  • Artificial intelligence (AI) and machine learning (ML) in modern BI tools help detect useful patterns in data and recommend future action.

Manage data

BI isn’t always about reporting and analytics. Sometimes, it’s about getting clear insight with simple tabular reports. BI tools make this information available by collecting it from your databases and data warehouses.

And there’s big data. It encompasses the various types and volumes of daily information businesses generate — spreadsheets, text documents, reports, videos, websites and usage data from equipment.

Modern BI tools have data management capabilities to handle vast, complex data volumes without impacting query performance. Additionally, they work seamlessly with distributed processing platforms like Apache Hadoop.

Make informed decisions

Decisions drive organizations — some impact the business directly, while others are limited to specific departments. Their timing is critical and, much like real life, can mean the difference between success and failure.

  • BI tools provide up-to-the-minute information. Incorporating it into your decisions can make a sea of difference to your bottom line.
  • BI supports customer analytics, which can help you move ahead of the competition by tapping into your users’ preferences.
  • BI insight reveals trends, gaps and outliers to improve performance by identifying improvement areas.

It’s descriptive analytics, informing you about your business performance and market trends using existing and past data. What’s working and what’s not?

Should you alter your marketing plan? BI tools give you enough data to justify proposing a new plan to your stakeholders.

But BI isn’t limited to reporting existing data.

  • With time, it evolved to support predictive analytics for forecasting business trends.
  • Advanced analytics techniques like decision trees, neural networks and machine learning let you derive future courses of action.

Prescriptive analytics is the most valuable aspect of decision-making — confidently finding your way forward based on accurate, high-value data.

Is business intelligence the same as business analytics?

No, but the two are connected.

BI shows you the data as-is — the rest is based on it. Business analytics involves planning and suggesting operational improvements by analyzing BI data.

Many business analytics tools are in use in enterprises of all sizes. They’re usually software suites with various products under one brand name.

Standalone tools work great too. Many have an open architecture to integrate with other platforms that complement their capabilities.

Business intelligence is the umbrella category that includes business analytics, big data analytics, data mining, embedded analytics and enterprise reporting.

Read more in our Business Intelligence vs. Business Analytics article.

History of Business Intelligence

Storing information has been a human tendency since man painted on cave walls and the Sumerians tracked wheat stock in granaries on stone tablets.

  • As information grew, storing more data in less space became a priority.
  • Information storage evolved rapidly from magnetic tapes to disk drives to database management systems (DBMS).
  • The need to optimize storage pushed the development of relational databases. They worked because splitting the information into smaller parts and separately storing it was economical.
  • Businesses saw an opportunity to use this technology to manage and record transactions like sales, procurement, shipment tracking and customer billing.
  • It was all fine, but senior stakeholders wanted to see this data. The problem was — it resided in disparate systems and was of different types.
  • It drove the development of business intelligence or BI to extract the information housed in separate systems.

How It Supports Industry Verticals

Organizations use many different software types — ERP, CRM, marketing automation, inventory management, procurement and POS (point-of-sale). These systems incorporate data from various transactional and operational sources.

Knowing how they relate to business intelligence and BI systems is essential before a software implementation.

Data Warehousing and Business Intelligence

It’s a marriage made in heaven. Warehouses draw information from the above systems and standardize it for easy interpretation. BI systems help derive timely, accurate and valuable insight from this warehouse data.

ERP and Business Intelligence

  • SAP is the founder of ERP systems that started with finance and accounting and expanded to include human resources and operations packages. It enabled a single company-wide view of data.
  • ERPs came into their own at the turn of the century when the Y2K bug threatened to make legacy systems redundant.
  • ERP companies offered software to replace these legacy systems, adding the latest features.
  • As the demand for real-time updates grew, hard-coding reports became redundant. Users needed more dynamic solutions.
  • ERP vendors started incorporating data warehouses into their product suites and added advanced reporting capabilities.

It signaled the advent of business intelligence in ERP.

CRM and Business Intelligence

Customer relationship management (CRM) manages a company’s prospects, leads and customers. It helps track leads and transactions and provides valuable customer insight for the sales team.

  • Customer data affects all ERP product development, procurement, inventory, accounting and finance areas. It’s why ERP vendors incorporate CRM products into their suites.
  • Tracking customer behavior got enterprises thinking about predicting customer behavior.
  • Ecommerce increased customer touchpoints, giving companies more buyer information. Anticipating customer preferences could help them position themselves better in the market.

It drove vendors to merge core CRM capabilities with BI, reporting and analytics.


How does business intelligence work?

  • Business intelligence tools collect data by connecting to your organization’s database or warehouse.
  • Data warehouses source the data from several transactional and operational systems.
  • They cleanse and transform the data, applying data quality rules and converting it into a query-ready format.
  • You can query this data on demand, put it into reports and visualizations and perform deep-dive analysis to drive business processes.

Which are some common business intelligence techniques?

  • Big data integration involves gathering data from multiple software platforms, including cloud-based systems, that generate data for your business.
  • Data preparation refers to getting the data ready for analysis by cleansing, correcting and transforming it to a standardized format.
  • Data mining involves identifying useful patterns and trends in data by analyzing it.
  • Benchmarking refers to comparing past and current performance and tracking how the business ranks against competitors.
  • Data querying refers to retrieving data from a database or warehouse using a query language like SQL (structured query language).
  • Data analysis covers what happened and why.
  • Data visualization involves analysis through graphs, charts, tables, maps and text summaries.
  • Reporting consists of viewing and sharing BI and analysis results with stakeholders.

Read our business intelligence techniques article to know more.

How is traditional business intelligence different from modern BI?

Conventional BI methods were IT-dependent and time-consuming. Data got outdated by the time it reached the right people.

Modern BI solutions have self-service capabilities and interactivity for independent data exploration.

Embedded BI gives you the required information within your business apps — no need to switch to a separate application.

Additionally, advanced calculations, augmented analytics and natural language querying differentiate modern BI from traditional methods.

Is it the same as data science?


  • Business intelligence presents historical and current information, while data science is exploratory.
  • While business intelligence drives decisions, data science supports strategic planning.
  • It involves diving into the metrics to spot outliers, trends and patterns to understand how your business performs and the market works.
  • Data scientists rely on statistics, advanced programming and machine learning.
  • BI deliverables include dashboards, ad hoc requests and reports, while data science helps run predictive models and what-if analyses.

Learn more with our Business Intelligence Features article.

How are business intelligence and big data related?

Big data refers to the vast volumes and varieties of data that organizations, machines and individuals generate daily. Business intelligence refers to using this information to grow your business and improve operations.

Read more in our article on BI vs. Big Data vs. Data Mining.

What is self-service BI?

Self-service BI is the capability to report on your organization’s metrics without coding.

Irrespective of whether you have programming skills, a solution that lets you explore and manipulate your data to perform the desired tasks is a self-service BI platform.

They hide the code behind easy interface actions like selections, drag-and-drop and point-and-click. Menu-based screens make navigation and data exploration effortless for all.

With the demand for faster turnarounds, giving more employees access to company data is a trade-off enterprises are willing to make. The result — software vendors offer more user autonomy in their offerings.

But, it also puts the onus on them to provide data security with watertight user management protocols.

Which industries use business intelligence software?

Telecommunications, automotive, financial services, manufacturing, media and entertainment industries use BI platforms. Ecommerce, software technology, healthcare, education, retail and government agencies are others.

Read more in our article on BI market insights.

How do I select a business intelligence system?

Your selection criteria are unique to your business, and a lot depends on your organization’s size.

  • How much and what type of data do you collect?
  • What are your deployment needs?
  • Will data migration be involved if you switch to the cloud?
  • Do you need a mobile app?

Our free requirements template can help you finalize this list.

Create a software comparison matrix of your preferred products to compare them feature by feature.

A four-tier scoring system gives you the product low down, ranking each requirement and feature on a scale of Zero to 100, with detailed summaries for every attribute.

Get the best-fit solution for your business by following our nine-step Lean Selection Methodology.

Reach out to us at or 855-850-3850.

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Our industry journalists proudly distill the helpful information you read on SelectHub, always on the mission to share what matters so you can make your best decisions independently.

BI articles are written and edited by:

Zachary Totah

Content Manager

As SelectHub’s Content Manager, Zachary Totah leads a team of more than 35 writers and editors in their quest to provide content that helps software buyers find the right system for their company.

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Hunter Lowe

Content Editor and Senior Market Analyst

Hunter Lowe is a Content Editor and Senior Market Analyst at SelectHub. He writes content for Construction, Inventory, Warehouse, and Supply Chain Management.

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Ritinder Kaur

Market Analyst

Ritinder Kaur is a Market Analyst who writes content on Business Intelligence, Big Data Analytics, Business Analytics, Embedded Analytics and Enterprise Reporting.

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Conner Martin

Writer and Researcher

Conner Martin is a writer and researcher with a passion for communication and education.

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Thought Leaders

SelectHub has sought out and invited thought leaders to contribute to our BI industry articles and resources. These thought leaders ensure we deliver quality content with the most accurate information, focusing on what matters most. No thought leader is compensated for their contributions, but shares our belief that information should be democratized so everyone can make the best decision.

Shaku Atre

Shaku Atre

President, Atre Group, Inc.

Shaku Atre has been a pioneer in computer science, as one of the first women practitioners of database design and related technologies to achieve prominence worldwide.

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Steve Hilton

Steve Hilton

Co-founder & President, MachNation

Steve Hilton is a co-founder and President at MachNation, the leading benchmarking and testing firm for Internet of Things (IoT) middleware and platforms.

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Greg Steffine

Greg Steffine

SVP and Director, Analytics Enablement, Key Bank

For more than 25 years now, Greg has worked as a business intelligence strategist and solution delivery leader to help business leaders use information to create and maximize value

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Mike Galbraith

Mike Galbraith

VP, Technology and Solutions, ThoughtFocus

Mike brings many years of experience as an IT executive and CIO, Digital Transformation Leader and Delivery leader for several Fortune 200 companies.

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Matthew Pluster

Matthew Pluster

Director, Data Analytics, Skylinetechnologies

Matthew Pluster is the Director of Data Analytics and Data Platform Solutions at Skyline Technologies, an IT consulting firm that provides world-class solutions and services.

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Ryan Wilson

Ryan Wilson

CTO, Build Intelligence

Ryan Wilson is currently CTO of Build Intelligence, a Domo Consulting company specializing in the construction industry.

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Mike Brody

Mike Brody

Serial Entrepreneur, Co-Founder and CEO of Exago Inc.

Mike Brody is a Serial Entrepreneur and Co-Founder and CEO of Exago Inc., makers of a web-based solution for software companies looking to provide ad hoc reporting, dashboards, and analytics to their internal and external customers.

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Reporting KPIs: A Comprehensive Guide

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November 20, 2023
Mary, a content manager who oversees content marketing operations in her organization, needs help creating and establishing reporting KPIs to monitor her team’s performance. She wants to understand more about the KPIs and metrics that measure progress and decides to invest in robust enterprise reporting solutions to create intuitive reports and dashboards.

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How Manufacturing KPIs and BI Let You Track and Improve Performance

November 20, 2023

Many manufacturers obsess about performance. They have good reason to do so. In a world where products can be copied too easily by rivals, superior manufacturing productivity and profitability may be the only way to come out on top. Performance involves metrics and indicators to see where you are and what you should do about it. Manufacturing KPIs (key performance indicators) play a critical role.

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Best Healthcare BI Software Tools

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November 16, 2023
As today’s modern businesses attempt to become more data-driven, they adopt business intelligence (BI) to make sense of all the data they collect. You’ll find businesses of all sizes in all industries using BI tools to optimize their processes and make better decisions, including those in the healthcare industry. Through BI, the massive amount of data that the healthcare industry generates can be analyzed and transformed into impactful actions that improve performance and quality of care. We’ll take a look at what healthcare BI is, what it does, what benefits it provides, as well as a list of the best healthcare BI software tools currently available on the market.

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What is SaaS Business Intelligence? Pros, Cons, Benefits and Selection

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November 16, 2023

Businesses are trying to harness the right data sets and analyze them in the right ways to make good decisions about products, services, customers, suppliers and much more. But BI tools come in so many forms, and the choices can be overwhelming. One of those choices is whether to pursue this business intelligence in-house or utilize new cloud or SaaS BI tools.

This article will attempt to explain what SaaS (software-as-a-service) business intelligence entails, the difference between on-premise and SaaS, some of the pros and cons of choosing a SaaS solution, and how to select the right BI tool for your business.

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BI/DW: What is Business Intelligence and Data Warehousing?

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November 15, 2023
There tends to be some confusion in the industry concerning the differences between business intelligence tools (BI) and data warehousing (DW). Some people conflate them into a single term – BIDW (Business Intelligence/Data Warehouse) – and consider them to fundamentally be the same thing. Others consider them separate software categories.

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What Is Ad Hoc Reporting? A Comprehensive Guide

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Enterprise reporting is the pillar of business intelligence and analytics — where would we be without reports? Though Excel supports insights on the fly, modern enterprises want more robust and faster ad hoc reporting tools. In this article, we discuss their applications, benefits and features, with the challenges in implementing them.

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Hospital Business Intelligence: A Comprehensive Guide

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November 14, 2023
You pull up to your doctor’s office, ready to queue up and answer a legion of questions about your health, but before you get a complete sentence out, the receptionist has your entire medical history at her fingertips. How? Hospital business intelligence leverages BI tools to document patient records, improve medical processes and offer guidance.

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Deep Learning vs Machine Learning vs AI

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November 13, 2023
Many leading software solutions offer business intelligence with AI, machine learning and deep learning capabilities. As a buyer, deciding whether they’re worth the investment can be confusing. This article discusses deep learning vs machine learning vs AI, how they are related and the challenges in adopting these cutting-edge technologies.

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What is Data Warehouse? Ultimate Guide to the Data Warehouse System

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Published: August 1, 2022

Effective business intelligence (BI) is critical for enterprises to generate revenue and maximize their ROI. With data increasing in complexity and volume every day, businesses need something more out of their BI software than a traditional database to store historical and transactional information for analytics. Many companies want live insights as well, and analyzing big data in real time requires a solution beyond a regular database. Data warehouse is a big data storage system that enable data management for enterprise reporting and data analytics.

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Business Analytics vs. Data Analytics: What’s the Difference?

November 10, 2023
Would you believe that over 100,000 business analytics jobs were posted in the U.S. as of Feb. 2023? As new blood fills the industry and demand for BI skills skyrockets, understanding business analytics vs. data analytics is crucial.

This article breaks it down with the associated roles, courses and certifications. Plus, it has information for software buyers. Which tool should you choose?

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Business Intelligence Market Insights 2023: What Should You Know

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November 10, 2023
Business intelligence (BI) is quickly emerging as one of the top software categories in market size. Fortune Business Insights states the global BI market size should reach $43.03 billion by 2028, up from $24,000 million in 2021. The business intelligence market is booming and will continue to do so as the demand for BI solutions grows.

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Business Intelligence And Data Analytics: A Comprehensive Guide

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November 10, 2023
Though we associate early business intelligence (BI) with reporting, it’s never been about simply displaying figures and numbers. Humans have always analyzed information to make deductions and decisions. It’s what makes us superior to other species.

Where does data analytics fit when seeking BI software, and how will it impact your buying decision? This article includes these and other frequently asked questions about business intelligence and data analytics.

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Business Intelligence Concepts, Components and Applications

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Businesses need to make sense of the personal, transactional, behavioral or attitudinal data they generate. Deciphering this information requires a robust understanding of business intelligence concepts and powerful software. Let’s explore these ideas for some clarity on how BI tools work.

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How Business Intelligence Works: A Comprehensive Guide

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November 9, 2023
Understanding how business intelligence works is a critical tool in the belt of industry veterans and newcomers alike. BI software can seem hard to approach and overly complex without basic knowledge of how it works.

In this article, we’ll cover a brief history of BI, some important processes and features, and burning questions users have on the topic.

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Guide to Building a Successful Business Intelligence Strategy

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If you’ve ever discussed how you can gain greater insight into your processes, you’ve likely heard of business intelligence tools, also known as BI. But what does BI do exactly? How is it helpful? How can you make sure you set yourself up for success when using it? This article aims to answer those questions and more when it comes to how to build a successful business intelligence strategy. So let’s get started.

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Data Warehouse Requirements Gathering Template and Primer for Your Business

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November 8, 2023
Searching for the perfect warehouse solution and knee-deep in technical terms like schemas, data models, parallel processing and compute speeds? Information overload might confuse you, but there is a method to the madness.

This article gives you a data warehouse requirements checklist to select a suitable BI solution that supports your data pipelines.

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Your ROI is below expectations, and you’re seeking the answers in business intelligence If you already have a BI and analytics solution, you might wonder whether you need augmented analytics capabilities.

What was your company’s retail sales volume for the last quarter? How much revenue did the new product line make in the past year? What’s the customer churn rate? BI tools can answer questions like these in seconds.

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Cloud Data Warehouses: A Comprehensive Guide

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November 7, 2023
Cloud data warehouses are the next best thing to happen to information storage after massively parallel processing (MPP) databases. Considering the cloud component, how will they complement your existing business intelligence systems and tech stack? What will it entail, and do you have the budget?

In this article, we discuss their evolution from relational databases and the challenges, some best practices and considerations to keep in mind before choosing one for your organization.

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What Are Logical Data Models? A Comprehensive Guide

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November 7, 2023
Mandy knows something is missing. The logical model she approved is flawed. It seems to fit the business requirements, but Dave in development detected indexing issues. If left unresolved, they might affect database performance.

She discovers the index is bulky when bucketing transactions could have saved storage. Maybe it’s time for a team refresher on the best practices of logical modeling. Let’s first get the prototype out, she decides, as she sets up a team meeting in her calendar.

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Dashboarding: A Comprehensive Guide

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Last Reviewed:
“That’s not a dashboard!” I smiled, looking at the image on my phone. I was discussing writing this embedded analytics article with a friend, and she was coming up blank.

“What’s a dashboard? Is it like the Tumblr dashboard?” she asked. I asked her to share the image, which was her Tumblr feed.

Like her, this article is for you if you don’t know what dashboards are and what they do. It includes a how-to tutorial for Excel dashboarding with everyday challenges and burning questions.

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Best Cloud Analytics Platforms

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The world of business software is constantly evolving, and that is especially true of cloud-based business intelligence tools. The best cloud analytics platforms, especially those that can scale responsively in order to support a company’s business models as they evolve, are starting to replace on-premise reporting solutions at great rates, and it’s easy to see why. Legacy systems lack the easy-to-customize user interfaces, prototyping tools and self-service BI which cloud platforms provide.

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Open-source Reporting Tools: Pros and Cons

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Open-source reporting tools evoke cautious discussions. You’re never sure if you’re for or against them. Are they on par with proprietary software in addressing large enterprises’ business needs?

Among reporting software, open-source solutions garner much interest — they’re cost-effective and customizable. But what about licensing? Which open-source license should you opt for? What are the best practices for adopting open-code software? Read more on this ahead.

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Cognos vs Business Objects vs Crystal Reports: Which BI Tool is the Winner?

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October 30, 2023
Companies have many choices in how they want to pursue building business intelligence resources. There’s a broad consensus that many businesses simply can’t afford to ignore this aspect of enterprise any longer. With so many good tools and technologies on hand, companies that aren’t taking a magnifying glass to things like product data, customer relationships, and sales numbers are simply missing out. Here we compare three popular BI tools: Cognos vs Business Objects vs Crystal Reports.

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Business Intelligence RFP Template and Guide

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October 30, 2023
Business intelligence software is a powerful, yet complicated technology. Selecting the best BI platform for your business takes substantial legwork. It’s essential that your selection process, including your request for proposal (RFP), is managed well. Your business intelligence RFP will serve as a guide to yourself, your team and your management for selecting a solution that ensures access to the business intelligence that will most greatly benefit your company.

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15 Key Benefits of Business Intelligence Software

October 30, 2023
You’ve probably heard the saying, “work smarter, not harder.” That turn of phrase might as well have been invented for business intelligence tools. Business intelligence software (BI) comprises a range of data analytics tools that analyze and manage data related to your business operations. Some of the benefits of business intelligence software’s rich visualization capabilities allow businesses to monitor sales, logistics and even productivity.

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What is a Data Management Platform (DMP)? The Comprehensive Guide

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October 26, 2023
Data is everything. Pushing a new product or launching new services without business intelligence to light the way through the vast data landscape is a recipe for disaster. A data management platform organizes, stores and analyzes raw data in tandem with BI tools to show you the path of least resistance toward success.

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Business Intelligence Applications: Understanding the Application of BI

October 26, 2023

Have you ever wished you could get a glimpse into the inner workings of your organization to understand more about how and why things happen? Well, I’ve got great news for you — you can! Business intelligence tools give you just this opportunity, but they can do much more! For those who’ve wondered what BI is good for, this article highlights the four main business intelligence applications and what it can do for your business.

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Sisense vs Logi Analytics: Which Is The Winner?

October 25, 2023

Folks, embedded analytics are taking the software world by storm. And naturally, the proliferation of powerful business intelligence tools built into other pieces of business software has prompted a veritable explosion of EA software. And just as the cream rises to the top, our software analysts have picked the two strongest performers for us to pick apart in a battle of the Titans. Strap in, people, because it’s time for Sisense vs Logi Analytics.

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Free Reporting Software Tools: Pros and Cons

October 25, 2023
Everybody loves free stuff. Whether you’re a college kid clamoring for a free T-shirt or someone who enjoys free samples at Costco, there isn’t a person alive who dislikes free things.

Speaking of freebies, reporting software can be yours for a flat rate of $0. And no, we don’t mean for a limited time. We mean forever, never-have-to-open-your-wallet free reporting tools.

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What is Self-Service Business Intelligence? The Comprehensive Guide

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October 23, 2023
Self-service business intelligence empowers different teams, including product, marketing, sales, finance, operations and more, to answer data questions without relying on IT teams for ad hoc reporting requests. Self-service BI tools help users gain valuable data insights to make robust decisions and attain business objectives within a stipulated time. Instead of using gut instincts and premonitions, BI tools rely on data to generate interpretations, make forecasts and create a data-driven culture.

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Descriptive vs Predictive vs Prescriptive vs Diagnostic Analytics

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October 23, 2023
In 2004, when Hurricane Frances hit Florida’s Atlantic coast, people were ready…with six packs of beer and, wait for it, pop-tarts! Days before the hurricane hit, Walmart had stocked up on the stuff in stores that were in the hurricane’s path, thanks to predictive and prescriptive analytics. Learning customer preferences with business analytics paid off for the retailer — they registered huge sales at the time.

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Pentaho vs Tableau: Which Business Intelligence Software is the Winner?

October 20, 2023
Business Intelligence (BI) is sourcing, blending and visualizing proprietary data to identify data trends and patterns that help enterprises define and improve their business strategy. BI tools pull data in its myriad forms – unstructured, semi-structured and structured – from many sources, and then cleanse, prepare and transform it for easy visual analysis.

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Critically Important Business Intelligence Features

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October 20, 2023
As the name suggests, business intelligence involves making intelligent decisions using historical data to improve existing strategies and outperform the competition. Here’s our recommended list of eleven key features of business intelligence tools that will help any organization create a massive impact on their customers and provide a seamless experience.

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BI vs. Business Analytics: The Difference Between Them

October 20, 2023
What is business intelligence and analytics? And how does business analytics fit in? Such questions can cause sleepless nights when tasked with acquiring a business intelligence (BI) software solution for your organization.

This article explains these terms and provides tips on choosing the best BI software.

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The Best Data Visualization Tools

October 19, 2023
Are you lost in the vast sea of data visualization tools, unsure which one will steer your organization toward success?

Many software buyers like yourself face the daunting task of choosing the right BI software from a sea of options with similar features. We have the solution.

Our article explores the top visual analytics tools, empowering you to compare what’s out there and make an informed decision.

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Financial Dashboard Examples: A Comprehensive Guide

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October 18, 2023
Alfatech’s finance team struggled to deliver monthly figures and forecasts with data siloed in several systems. Plus, information on out-for-approval invoices and unbooked amounts was falling through the cracks. Bas Verweij, the CFO at Alfatech, knew it was time for action.

They upgraded to an advanced version of their embedded analytics tools. Within three weeks, their finance team was ready to generate basic reports and financial dashboards with the new tool.

If you’re in the same position, you’re in the right place. Let’s take a deep dive into the world of financial dashboards.

Ritinder KaurFinancial Dashboard Examples: A Comprehensive Guide
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BI vs. Big Data vs. Data Mining: A Comparison of the Difference Between Them

October 17, 2023
Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways.

One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. Big data mining is another concept that employs collective data mining or extraction techniques that are performed on huge volumes of data.

Payal TikaitBI vs. Big Data vs. Data Mining: A Comparison of the Difference Between Them
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