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Business Intelligence Software

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Grow logo

Grow

4.6
(244)

Make data-driven decisions.

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Grow is a no code, full-stack BI that makes it simple for companies to connect their data and surface insights to empower your team to make data-driven decisions.

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SAS Visual Analytics

4.3
(40)

SAS gives you THE POWER TO KNOW®.

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SAS® Visual Analytics enables reporting, data exploration and analytics that empowers everyone to discover and share powerful insights that foster data-driven decisions.

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Google Cloud BigQuery

4.6
(13)

Serverless and Multi-cloud Data Warehouse

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BigQuery is a serverless and multi-cloud data warehouse designed to help users turn big data into valuable business insights. Users can query structured data without the need to store it or load it into their own systems first.

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Domo

4.3
(258)

The Domo Business Cloud is where work gets done faster and s

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Domo brings your business and all its data together in one intuitive platform. With Domo, it’s easy to see the information you care about in one place.

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Phocas Software

4.8
(101)

Feel good about using data.

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Follow your train of thought to answer critical business questions. Phocas not only answers these questions, but uncovers new questions and opportunities.

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NetSuite

4.1
(1.1K)

The World’s Leading, Most Deployed Cloud ERP Solution

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SuiteAnalytics pre-built, customizable reports and workbooks, role-based dashboards and KPIs deliver the data needed to help run your business while, NetSuite Analytics Warehouse consolidates NetSuite and non-NetSuite data to help gain even deeper insights into issues, trend and opportunities.

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Composable DataOps Platform logo

Composable DataOps Platform

4.9
(10)

Business intelligence platform for application development

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Composable is an integrated DataOps platform and business intelligence (BI) solution that helps enterprises automate data orchestration and application development processes using artificial intelligence (AI) technology. Businesses can utilize the data catalog module to clone and share data.

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Grepsr

4.7
(46)

Managed data acquisition, perfected at scale.

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Our customers save hundreds of hours by automating crucial data extraction tasks. We want our data, technology and people to be the stellar foundation your business can rest and build upon!

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Yellowfin

4.6
(17)

Business Intelligence reporting and dashboard platform

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Yellowfin is a leading Business intelligence Software vendor. With more than 1,000,000 users globally - Yellowfin is the number one Business Intelligence choice for organizations of all sizes.

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IntelliFront BI logo

IntelliFront BI

4.0
(5)

Data Analytics & Business Intelligence Software

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Data Analytics + Business Intelligence: Real-Time Dashboards, KPIs, On-Demand Reports, Business Workflows and Report Scheduling in one solution.

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Manta

4.1
(11)

Get end-to-end data lineage including custom SQL code

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MANTA extracts & analyzes information from SQL scripts & ETL configuration to visualize data flows between database tables, files, report fields, and more

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Ortto

4.6
(107)

The unified customer journey platform for online business.

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Ortto is the product-led growth engine that helps businesses acquire and retain customers. Sign up for free

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Toucan

4.7
(23)

Guided Analytics for Business Users

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Toucan is a cloud-based, guided analytics platform with one goal in mind: reduce the complexity of bringing insights from data to business users. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy.

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Tableau Connector for Jira

4.8
(5)

SaaS-based business intelligence and data visualization too

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Tableau Connector for Jira is an application that allows organizations to extract and migrate data from JIRA to Tableau for further analysis. Key software features include third-party integrations, data quality control, data transfer, access control management, data extraction, and analytics tools.

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Power BI Connector for Jira logo

Power BI Connector for Jira

4.5
(16)

Cloud-based and on-premises business intelligence software

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Power BI Connector for Jira is a business intelligence (BI) and data analysis software for data analysts and BI professionals. Key features include data extraction, match & merge tools, data security, export customization, and data quality control. It serves businesses in various industry sectors.

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Sigma Computing

4.3
(81)

Collaborative business intelligence and data analytics tool

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Sigma is an award-winning modern business intelligence (BI) and analytics platform purpose-built for the cloud. It features a familiar spreadsheet-like interface which delivers the full power of SQL into the hands of any user while keeping data fresh and secure within cloud data warehouses.

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Orbit

(0)

Operational Reporting and BI with focus on ERPs

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Orbit Analytics offers a flexible operational reporting and analytics solution with comprehensive dashboards and self-service capability.

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Funnel

4.7
(16)

Advertising Analytics Platform for Online Marketers

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Funnel integrates with all your advertising platforms, automatically gathers advertising data and maps it with conversion data. Visualise your data anywhere.

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Power BI Connector for ServiceNow logo

Power BI Connector for ServiceNow

4.6
(5)

Enterprise-grade app for ServiceNow Power BI Integration

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ServiceNow Power BI integration app for easy ServiceNow data export and professional analytics.

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Wyn Enterprise

4.6
(10)

Embedded, self-service business intelligence (BI) tool

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Wyn Enterprise is a white-label business intelligence (BI) tool that enables SaaS businesses and SMEs to embed analytics into proprietary software. It works in tandem with the company's existing technologies, enabling product developers and IT departments to build custom, dynamic report metrics.

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Cluvio logo

Cluvio

4.5
(74)

Modern cloud analytics platform for startups and SMEs

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Cluvio is a modern SQL and R-based cloud analytics platform that allows you to create and share beautiful, interactive dashboards.

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Mindpath

4.5
(2)

B2B Companies with +150 content Blogs on their website.

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Mindpath is software, supported by Artificial Intelligence, that allows B2B companies to identify and target potential clients, according to the analysis on their website and across the web.

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Style Intelligence logo

Style Intelligence

4.6
(42)

Cloud-based business intelligence software for enterprises

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Style Intelligence is an operational business intelligence platform that uses data visualization tools to address data analysis and reporting needs

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Quaeris

(0)

AI-driven business intelligence and embedded analytics tool

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Quaeris is a cloud-based search and business intelligence (BI) software for personalized insights serving the sales, insurance, finance, and supply chain industries. Key features include data connectors & extraction, API, ad hoc analysis, trend analysis, KPIs, visual analytics, and monitoring.

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LogiSense Billing

4.7
(6)

Leading the usage-based billing economy.

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We believe that people should pay only for the services they want and use. LogiSense provides of real-time usage and subscription-based billing solutions. We help businesses configure modern, sophisticated billing scenarios, allowing XaaS, telecom, enterprise and IoT companies to diversify their off

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Here's what we'll cover:

Buyers Guide

Business Intelligence

Collecting data has become crucial for the success of any business, but the challenge lies in managing its ever-growing volume. 

Business intelligence (BI) software can help by integrating data from multiple sources into a single platform. The BI tool can then extract actionable insights such as customer buying habits or market trends to help your business make informed, data-driven decisions.

Below, you’ll find everything you need to know about business intelligence software so you can choose the right BI platform for your small business. 

Here’s what we'll cover:

What is business intelligence software?

Business intelligence (BI) software is technology that helps organizations analyze their data assets to make informed decisions, improve processes, and drive business objectives. The solution’s signature function is sharing data analysis—in the form of dashboards and reports—with teams. With an eye on key performance indicators (KPIs), historical analysis, and future forecasting, BI grants organizations a vantage point to see a holistic view of their business.

What does a BI tool do?

As a business owner, you might have questions about sales, finances, or other KPIs. To answer all such queries, you need to gather data, analyze it, and determine what actions you can take in response that will help move the business forward. Business intelligence tools help you do just that.

Here are some key functions of BI tools:

  • Collect data: BI tools extract structured and unstructured data from a source, prep it for analysis, and store it in a central location.

  • Run queries: Analysts and other professionals run queries against the data to discover trends, patterns, or inconsistencies that shed light on a business' current state.

  • Create visuals: Business intelligence tools present actionable insights in the form of interactive dashboards, charts, maps, and graphs.

What is the difference between self service BI vs traditional BI tools?

The first step toward selecting BI software is deciding on traditional vs self-service BI. Traditional BI has long been confined to big corporations because of its cost and complexity. Modern BI (aka self-service) is what has emerged as cloud and digital technologies have tilted BI solutions towards user-friendly and accessible options.

Traditional BI:

  • Highly controlled analytics environment where analytical knowledge is mandatory to make use of data.

  • Expertly trained data scientists create static reports and share them with the team.

  • Analytics reports, while of high quality, are slow to surface and bottlenecked by IT workload.

  • Requires highly sought after and expensive data analytics skills sets, which are hard to find given data scientist and other veteran IT hire shortages.

  • Direct control over servers offers more robust security.

  • More customization options, though limited by staff aptitude for programing languages and ability to code integrations between software platforms.

Self-Service BI:

  • Open analytics environment where user-friendly, intuitive, and highly interactive tools allow anyone to perform valuable analysis of data.

  • Enables data citizens—users who are not data scientists by trade—to create value with business data and BI despite lacking formal training in analytics and statistics.

  • Much easier to scale, as BI practitioners can be recruited from your existing staff.

  • Frees up veteran data scientists to work on more complex, value added projects.

  • Contributes to real-time insights, allowing any worker to rapidly personalize data queries and manipulate analysis filters.

  • Reallocates IT resources to line of business (LOB) processes, as well as to the departments and users directly facing business challenges.

Key question to ask your BI vendor before you buy:  How will your solution deal with my organization’s primary data type, as well as large volume datasets, and how will it maintain my data’s security and availability?

What is the difference between business analytics and business intelligence?

The terms business analytics and business intelligence are often used interchangeably. Though there is some overlap, business intelligence is descriptive while business analytics is predictive/prescriptive.

BI tools help you analyze the current state of your business based on past activities. BI software simply presents existing raw data in a way that is readable and interpretable by non-technical end-users.

On the other hand, business analytics software helps businesses make predictions about the future and requires the expertise of data science professionals to interpret the predictions and develop advice.

Key question to ask your BI vendor before you buy:  Will I have to provide extensive training to my staff to be able to use your BI solution?

What are the benefits of BI software?

When used effectively, business intelligence tools can help spot market trends, identify bottlenecks, and track employee productivity.

Here are some of the key benefits of BI software:

  • Faster, improved decision making 

  • Better understanding of customer behavior 

  • Early identification of problems and solutions

  • Identification of emerging business trends

  • Track sales, marketing, and finance KPIs

What are the basic steps of implementing business intelligence software?

Once you have decided to leverage BI for your business, you should start planning your BI implementation strategy to help with both software adoption at your business and to avoid any roadblocks. 

Step 1: Identify key metrics and select BI software. It’s important to know what it is that you want to achieve with the help of a BI tool. Are you looking to monitor sales volume or understand customers’ buying behavior? Build a shortlist of software options based on your requirements to ensure you select the right business intelligence tool.

Step 2: Analyze current data storing and sharing practices. Each department may have its own way of dealing with data. It's important to understand how data is currently handled at your business to determine how you will bring it all together moving forward.

Step 3: Establish a business intelligence team. This team should include data-driven individuals who would act as BI manager, analyst, architect, developer, and/or project manager. Together, this team will be responsible for deploying, managing, and efficiently using the BI tool.

Step 5: Train your staff to work with BI software. It’s important that anyone who will interact with your new BI sool knows how to use it. Whether they need to change the way they store and share data to ensure the tool has access or will be using the BI tool directly to extract insights, proper training ensures that everyone is prepared and ready to use the new tool.

Step 6: Conduct a test run. Before you go live, select the most important KPIs your business wants to measure and test your new BI software. See how it performs, collect feedback from users, and make any necessary adjustments.

What are the key features of business intelligence software?

With implementation out of the way, the next hurdle is determining which features are most important to your organization. The best practice is to make a balanced purchase: fulfilling your current needs, yet leaving room for future growth. But avoid the temptation to overbuy, because it only overwhelms your users with unnecessary functionality. Below are some common features offered by BI vendors:

Custom dashboards: Creates an overview of metrics in customizable dashboards that can be filtered by key performance indicators (KPIs) and are consumable at a glance by all manner of users.

Custom dashboards

Custom dashboards in Klipfolio

Embedded analytics: Provides users access to BI and analytics capabilities that are self-contained within the BI and analytics platform or that are available for import and integration from third-party tools.

Embedded analytics

Embedded analytics in Microsoft Power BI

Collaboration features: Helps users share and discuss information, analyses, analytic content, and visualizations via discussion threads, chat, and annotation; remote access via mobile devices is a key component and offers teams data sharing asynchronous to time and across extended geographies.

Collaboration features

Collaboration features in Zoho Reports

Self-service data preparation: Enables access to and combines various data sources, transforms data using arithmetic, logical operators and functions, and ultimately loads the data into the self-contained storage layer.

Self-service data preparation

Self-service data preparation in Tableau

Advanced analytics: Predictive modeling, data-mining, workflow builders, machine-learning capabilities, natural language processing (NLP) and platforms for creating custom models in “R,” Python, Java, and using query languages such as SQL.

Advanced analytics

Advanced analytics (chatbots) in Sisense

Key question to ask your BI vendor before you buy: What unique value does your tool offer for my primary intended use case?

*Note: The applications selected are examples to show a feature in context, and are not intended as endorsements or recommendations.

What is cloud BI & on-premise BI?

Your next critical consideration is deployment options: cloud BI or on-premise BI. This choice will sometimes cleave on available features, but the main deciding factor will come down to the variety, velocity, and volume of data your business hosts, as well as cost and infrastructure requirements.

On-premise

  • High, upfront cost, but bulk of investment a one-time charge.

  • Better for managing unstructured content such as images, extremely large datasets, and data that is rapidly growing, frequently updating, or continually incoming.

  • Faster migration of large, legacy datasets.

  • Security controls are more customizable, whereas cloud-hosted data is only as safe as your vendor.

  • May lag behind in updates or feature parity with SaaS option.

Software as a-Service (SaaS)

  • Lower total cost of ownership (TCO) and incurred risk compared with on-premise BI.

  • Quick implementation time and easily scaled.

  • Elimination of staffing and IT real estate needed to host BI infrastructure.

  • Suited for remote teams with simple mobile and cross-location data sharing.

Key question to ask your BI vendor before you buy:  How timely will data be surfaced for my users, and what tools are provided to share insights to fragmented or remote teams?

How does business intelligence software help SMBs?

The scope of business intelligence is vast, but how SMBs use it will vary based on their industry and needs.

For example, BI software can help forecast sales for an eCommerce business by identifying popular and in-demand products and help determine customer satisfaction by analyzing customer reviews.

Other common use cases include:

  • Tracking financial data or other key metrics

  • Determining overall customer satisfaction

  • Recording customer buying behavior over time

  • Tracking overall business performance

  • Monitoring real-time sales data