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Tableau

FrontRunners 2024

Tableau is an integrated business intelligence (BI) and analytics solution that helps to analyze key business data and generate meaningful insights. The solution helps businesses to collect data from multiple source points such as...Read more about Tableau

Minitab Connect

Minitab is an analytics tool that helps improve business processes, accelerate analysis and reporting cycles, and share insights across departments. Users can create dashboards that highlight key metrics and KPIs, share them with ...Read more about Minitab Connect

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GivingDNA

GivingDNA is a cloud-based data analytics and wealth screening solution designed to help nonprofits in creating highly precise donor segments. With GivingDNA, fundraisers and nonprofit marketers gain invaluable insights to profile...Read more about GivingDNA

4.9 (9 reviews)

UpKeep Edge

UpKeep Edge is a business intelligence software that enables organizations to monitor the performance of equipment and machinery in real-time. Teams can place sensors on the assets to track the operational status and detect when a...Read more about UpKeep Edge

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Bitrix24

FrontRunners 2024

Bitrix24 is an online workspace for small, medium, and large businesses. It features over 35 cross-integrated tools, including CRM, tasks, Kanban board, Gantt chart, messenger, video calls, file storage, workflow automation, and m...Read more about Bitrix24

eFast Integrator

eFast Integrator is an oil and gas portal integration software that connects operators' accounting systems and ERPs with electronic invoice portals. This automation enables operators to implement procurement, accounts payable, and...Read more about eFast Integrator

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SpendQube

SpendQube solves the challenge companies have of bringing together multiple sources of spending data into a single, consolidated, and analyzed view. The SaaS platform is one of the most intuitive and user-friendly tools behind whi...Read more about SpendQube

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TARGIT

TARGIT Decision Suite is a business intelligence and analytics solution that offers visual data discovery tools, self-service business analytics, reporting and dashboards in a single, integrated solution. TARGIT combines the ...Read more about TARGIT

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Solver

Solver is a hybrid corporate performance management (CPM) solution based on the Microsoft platform. It caters to businesses of all sizes across various industry verticals. Key features include reporting, budgeting, dashboards and ...Read more about Solver

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SetSight

SetSight offers a cloud-based business intelligence solution to collect, analyze and report key data associated with sales trends, replenishments, category management and more. It features order management and forecasting, reporti...Read more about SetSight

3.5 (1 reviews)

Necto

Panorama Necto is a business intelligence (BI) suite that is designed to work in tandem with any data source—OLAP, spreadsheets, relational and in-memory. Necto suits midsize and enterprise-level companies across all major in...Read more about Necto

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CCH Tagetik

CCH Tagetik is a unified BI and accounting software that helps to optimize financial and operational planning. The solution also shortens the consolidation and closing process and allows users to analyze results, model, as well as...Read more about CCH Tagetik

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Profitbase EPM

Profitbase offers user-friendly and flexible business performance management tools that can help optimize financial and operational planning, execute work processes, and analyze business data. It enables users to efficiently colle...Read more about Profitbase EPM

4.0 (1 reviews)

TruOI

With the TruOI Platform, you’re not only able to only see how your company is performing in real-time, but the platform also initiates automated system activity based on pre-programmed performance to keep your organization on trac...Read more about TruOI

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DataRPM

Progress is a business intelligence solution that is designed for different industries such as manufacturing, oil and gas, automotive and aviation. It can be deployed as both on-premise and cloud-based solution. Progress prov...Read more about DataRPM

4.0 (1 reviews)

Sisense

Sisense goes beyond traditional business intelligence by providing organizations with the ability to infuse analytics everywhere, embedded in both customer and employee applications and workflows. Sisense customers are breaking th...Read more about Sisense

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Stratum

Stratum by Silvon is a robust business intelligence solution that was designed to meet the unique needs of business professionals working for manufacturing and distribution companies. Stratum offers a full suite of integrated...Read more about Stratum

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Clear Analytics

Clear Analytics is a data analytics solution that enables small to midsize business users to perform a variety of self-service analytics within an Excel-based environment. The platform is capable of consolidating data from mu...Read more about Clear Analytics

4.5 (6 reviews)

GoodData

GoodData is the leading cloud-based data and analytics platform, bringing AI-fueled data-driven decision-making to organizations across the globe. With a platform that leverages the potential of automation and AI, GoodData empower...Read more about GoodData

Service Lifecycle Management

Designed to help companies handle after sales supply chains, DEX Systems’ Service Lifecycle Management solution helps businesses manage their end-to-end operations, from returns and repairs to remarketing and warehouse planning. ...Read more about Service Lifecycle Management

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Buyers Guide

Last Updated: March 16, 2023

Business intelligence (BI) software has gained considerable traction since its introduction as "decision support systems" in the 1960s. Today, there are over 100 BI software companies selling business intelligence tools.

We put together this buyer's guide to help buyers understand the BI tools market. In this guide, we'll review:

What is business intelligence software?

Comparing business intelligence tools

Common Features of Business Intelligence Software

Data management tools

Data discovery applications

Reporting tools

What type of buyer are you?

Market trends to understand

What is business intelligence software?

Business intelligence software is data visualization and data analytics software that helps organizations make more well-informed decisions. Business intelligence tools connect to the business's data warehouse, ERP systems, marketing data, social media channels, Excel data imports, or even macroeconomic information.

The business intelligence market is growing rapidly because of the proliferation of data to analyze. Over the past few decades, companies that have deployed Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) and other applications are now sitting on a mountain of data that can be analyzed. In addition, the growth of the Web has increased the demand for data analysis tools that can analyze large data sets.

One of the biggest trends in the BI market is the shift in software architecture and design to more user-friendly self-service applications. These applications are now being used by business users—not just IT staff—to pull ad-hoc reports, create interactive dashboards, and even allow end users to perform advanced analytics functions on the BI platform.

Medical practices and doctors looking for solutions that can function with their existing medical software might be interested in healthcare BI software

Comparing business intelligence tools

There are many popular BI solutions on the market, and it can be hard to know what distinguishes one product from another and which is right for you. To help you better understand how the top BI systems stack up against one another, we created a series of side-by-side product comparison pages that break down the details of what each solution offers in terms of pricing, applications, ease of use, support and more:

Top Qlik Sense Comparisons

Top Qlikview Comparisons

Top Tableau Comparisons

Qlik Sense vs. Qlikview Qlik Sense vs. Tableau

Qlik Sense vs. Qlikview Qlikview vs. Spotfire

Qlik Sense vs. Tableau Spotfire vs. Tableau

Top Spotfire Comparisons

 

 

Qlikview vs. Spotfire Spotfire vs. Tableau

Common Features of Business Intelligence Software

BI software can be divided into three broad application categories: data management tools, data discovery applications and reporting tools (including interactive dashboards and data visualization software). In the next section, we'll explain how these analytics platforms can help your organization's decision-making process become more data-driven.

The BI tool you'll need depends on how your data is currently managed and how you would like to analyze it. For example, if it is currently scattered across disparate transactional databases, you might need to build a data warehouse to centralize it and invest in data management tools that offer Extract, Transform and Load (ETL) functionality to move and re-structure it.

Once data is given a common structure and format, you can invest in data discovery solutions such as Online Analytical Processing (OLAP), data mining and semantic or text mining applications, with the capability to create custom, ad hoc reports. And because information is stored within the warehouse, users can quickly pull reports without impacting the performance of the organization’s software applications, such as CRM, ERP and supply chain management solutions.

We’ve illustrated this concept in the image below:

Business-Intelligence-(BI)-Software-Architecture

But this isn’t the only way to implement business intelligence software within your organization. If you’re only analyzing data from a single source, ETL and data warehouses are unnecessary. Alternatively, you might require multiple warehouses, and thus, require different tools to connect data between both these servers and other analytics tools that need access to this data.

Regardless of your unique business needs, any BI tool you buy should have some key features:

  • Data quality management

  • Extract, transform and load (ETL)

  • Data mining

  • Online analytical processing (OLAP)

  • Predictive analytics

  • Semantic and text analytics

  • Data visualizations

  • Interactive dashboards

  • Report writers

  • Scorecarding

  • Ad hoc reporting

Data management tools

Better decision-making starts with better data. Data management tools help clean up "dirty data," organize information by providing format and structure and prepare data sources for analyses.

Functionality

Description

Data quality management

Helps organizations maintain clean, standardized and error-free data. Standardization is especially important for business intelligence tools that integrate data from diverse sources. Data quality management ensures that later analyses are correct and can lead to improvements within the business.

Extract, transform and load (ETL)

Collects data from outside sources, transforms it and then loads it into the target system (a database or a data warehouse). Because primary data is often organized using different schemas or formats, analysts can use ETL tools to normalize it for use in analytics.

Data discovery applications

The ability to sift through data and come to meaningful conclusions is one of the most powerful benefits of adopting business intelligence tools. Data discovery applications help users make sense of their data, whether it be through quick, multivariate analysis during OLAP or via advanced algorithms and statistical computations during data mining.

Functionality

Description

Data mining

Sorts through large amounts of data to identify new or unknown patterns. It is often the first step that other processes rely on, such as predictive analytics. Databases are often too large or convoluted to find patterns with the naked eye or through simple queries. Data mining helps point users in the right direction for further analysis by providing an automated method of discovering previously neglected trends.

Online analytical processing (OLAP)

Enables users to quickly analyze multidimensional data from different perspectives. It is typically made up of three analytical operations: data consolidation, data sorting and classification ("drill-down"), and data analytics from a particular perspective ("slice-and-dice"). For example, a user could analyze sales numbers for various products by store and by month. OLAP allows users to produce this analysis.

Predictive analytics

Analyzes current and historical data to make predictions about future risks and opportunities. An example of this is credit scoring, which relies on an individual's current financial standing to make predictions about their future credit behavior.

Semantic and text analytics

Extracts and interprets large volumes of text to identify patterns, relationships and sentiment. For example, the popularity of social media has made text analytics valuable to companies with a large social footprint. Understanding semantic trends is a powerful tool for organizations evaluating purchase intent or customer satisfaction among users of these channels.

Reporting tools

In the words of John W. Tuckey, “the greatest value of a picture is when it forces us to notice what we never expected to see.” Reporting applications are an important way to present data and easily convey the results of analysis.

Business intelligence users are increasingly business users—not IT staff—who need quick, easy-to-understand displays of information. In response, software vendors have been working to mask the complexity of these applications and increasingly focus on the user experience.

Functionality

Description

Visualizations

Helps users create advanced interactive dashboard representations of data via simple user interfaces. The ability to visualize information in a graphical format (as opposed to words or numbers) can help users understand data in a more insightful way. In addition, new interactive tools can help teams use analytics and manipulate reports in real-time.

Dashboards

Dashboards typically highlight key performance indicators (KPIs), which help managers focus on the metrics that are most important to them. Dashboards are often browser-based, making them easily accessible by anyone with permissions.

Report writers

Allows users to design and generate custom reports. Many CRM and ERP systems include built-in BI reporting tools, but users can also purchase standalone applications, such as Crystal Reports, to create ad hoc reports based on complex queries. This is especially helpful for organizations that constantly use analytics and need to generate new reports quickly.

Scorecarding

Scorecards attach a numerical weight to performance and map progress toward goals. Think of it as dashboards taken one step further. In organizations with a strategic performance-management methodology (e.g., balanced scorecard, Six Sigma etc.), scorecards are an effective way to keep tabs on key metrics. For example, a scorecard might establish a grade of “A+" to 40 percent year-over-year growth if the goal was set at 14 percent.

What type of buyer are you?

Before evaluating software, you must determine what type of buyer you are.

Business users and departmental buyers. These buyers favor small data-discovery vendors and BI tools over the big, traditional BI systems. Ease-of-use and fast deployment are more important than in-depth functionality and integration. They are usually business users rather than IT staff.

IT buyers. Traditional buyers are more focused on functionality and integration within their information infrastructure stacks or other ERP applications. Integration across different entities and departments is usually more important than ease of use.

Market trends to understand

As you begin your software comparison and evaluation, there are a couple trends to consider:

In-memory processing: OLAP systems of the past would pre-calculate every possible combination of data. These calculations would be stored in the “cube,” and users could retrieve them when they needed a certain analysis. Creating these cubes was very time-consuming—sometimes taking as long as a year—and required expertise. Today, computer processors and memory are faster, cheaper and more powerful overall. This same process can happen in-memory, rather than using a disk-based approach with cubes. Analytics software built on an in-memory architecture can retrieve data and perform calculations in real-time or on-the-fly.

Big Data: The Internet is rapidly creating vast amounts of data. This phenomenon is known as "big data" among IT and business leaders. Business analytics software companies are beefing up their data warehousing and analytics capabilities to keep up with demand.

However, according to Gartner, through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage. The right BI tools can help harness the power of so much data.

Companies dealing with large amounts of data may also want to consider investing in dedicated IT security suites to support their computer security needs.

Business users to outnumber IT staff: This is a major trend playing out in the market. More business users—rather than traditional IT staff—are evaluating and purchasing software. So usability is becoming more important than functionality during software evaluations. As a result, small data discovery vendors that develop really good interactive visualization tools are gaining market share. Meanwhile, traditional BI vendors are parroting new market entrants by promoting ease of use.

Software-as-a-Service (SaaS): A growing number of organizations are considering SaaS or “cloud” BI software instead of traditional, on-premise software that you install on-location. Cost is a major driver of this trend. The poorly performing economy is motivating companies to look at lower-cost BI software from SaaS and open source vendors. Of course, perceived ease of use, faster implementations and reduced IT needs are also driving this trend. On-premise BI vendors are responding by committing development resources to cloud technology.

**[

Mobile BI applications:](https://www.softwareadvice.com/bi/mobile-business-intelligence-comparison/)** Proliferation of the iPhone, iPad and other mobile devices is pushing vendors (e.g., Microsoft and Oracle) to develop on-the-go business intelligence applications. Analysts think mobile BI could expand the population of BI users to a larger, mainstream audience.