Top 10 Business Intelligence Tools in 2022
With so much data at our fingertips, it’s becoming increasingly difficult to concentrate on the information that’s important to our issues and present it in a way that’s actionable. That is the essence of Business Intelligence (BI).
Business intelligence tools make it easier to gather the right information and visualize it in ways that help us comprehend what it means. However, the tool you use can determine how easy the process is and how you can visualize the data: It’s important to choose the right one for your requirements.
We’ll go through the top 10 widely regarded BI tools in this blog to help you figure out what your company’s data can tell you about your business.
Board International is a three-in-one solution that incorporates business intelligence, predictive analytics, and performance management. Although it aspires to offer something to all, it primarily focuses on financial BI. It has modules for sales (cross-selling and up-selling analysis), HR (skills mapping, workforce planning), finance (planning, consolidation), loyalty and retention monitoring), marketing (social media analysis), supplier management), supply chain (delivery optimization, and IT (KPIs, service levels).
The company is Swiss, however, the software is available in English, French, Spanish, Japanese, Chinese, Italian, and German. An in-memory calculation engine has replaced the multidimensional online analytical processing (MOLAP) approach in the most recent iteration of its platform.
Dundas BI is a product of Dundas. Data visualization is often used to create dashboards and scorecards, which highlight the company’s past successes, but it can also be used to do standard and ad-hoc reporting. Analysis and visualization are carried out using a web interface that adapts to the capabilities of the users: The features that are visible to power users and standard users are different.
The latest version adds point-and-click trend analysis, Linux support, and an application development environment for tailored analytic applications, as well as a new in-memory engine and natural language query capabilities. In addition to the usual suspects including banking and healthcare, Dundas BI has been customized for 19 sectors, including clean tech, mining, and construction. It caters to large corporations but specializes in embedded business intelligence.
Domo is a cloud-based platform that focuses on easy-to-use dashboards for business users. It provides market intelligence resources for a variety of industries (including financial services, health care, manufacturing, and education) and roles (including CEOs, sales, BI professionals, and IT workers). Before looking at how over 500 other integrations might support the rest of the enterprise, CIOs might start by looking at how it handles data from AWS, Jira, GitHub, or New Relic.
MicroStrategy’s cloud, on-premises, and hybrid deployment solutions address the enterprise BI market across a wide variety of industries. It has a drag-and-drop interface that allows users to construct customizable data visualizations and real-time dashboards.
MicroStrategy promotes federated analytics, which allows customers to take advantage of their existing investments in data sources like Tableau, Qlik, and Power BI, and combine the data to create reports and insights. It also includes an enterprise semantics graph, which indexes data assets and adds location knowledge and real-time telemetry to data silos. MicroStrategy provides a 30-day free, full platform trial.
Microsoft Power BI
Users can analyze and visualize data from local or cloud sources with the Power BI Desktop app for Windows, then post their reports to the Power BI website. Data planning, visual-based exploration, virtual dashboards, and augmented analytics are among the features available.
For a monthly charge, the Pro edition of Power BI Desktop makes collaborative research simpler by leveraging Microsoft Office365, SharePoint, and Teams to monitor access to raw data and published reports.
Self-service data prep is possible with prebuilt connectors to corporate data stored in Microsoft Dynamics 365, Azure SQL Data Warehouse, or third-party sources such as Salesforce in the Premium tier for businesses who want to go all-in.
Oracle Analytics Cloud
Oracle has spent the last few years bulking out its Oracle Analytics Cloud offering, which was unveiled in 2014 as a spinoff of the company’s flagship Business Intelligence Enterprise Edition bundle. In 2020, it introduced a Cloud HCM offering to provide HR executives, analysts, and line-of-business leaders with self-service workforce analytics.
Oracle’s cloud offering is designed to be intuitive and user-friendly, with powerful reporting and machine learning capabilities. Data preparation, data connectors, predictive analytics, visualizations, embedded analytics support, and a native mobile app are all key features.
SAS Visual Analytics
SAS’s Visual Analytics tool, which is available via its cloud and microservices-based SAS Viya platform, is a take on BI. Its goal is to automatically highlight key data relationships: The new edition includes automatic recommendations for related variables, as well as visualizations and natural language observations.
Sentiment analysis for extracting data from social media and other messages, automated chart creation, visualization, and self-service data preparation are among the other features. Deployment options include on-premises, in public or private clouds, or as a service on the Cloud Foundry platform.
Qlik’s aim is to allow everyone in the company access to all of the company’s data, subject to corporate data governance policies, of course. All of that data may be enough to slow down most database engines, but Qlik claims that its Associative Engine will associate every piece of data with every other piece to make finding connections easier.
Thanks to the Qlik cognitive engine, the Associative Engine now has AI and machine learning capabilities that provide context-aware insight recommendations. The self-service platform for accessing the analytical capacity, Qlik Sense, is available in cloud and on-premises versions.
Tableau Software covers all the bases with Tableau: You can run Tableau’s software on your own servers, in the cloud, or have it completely hosted by Tableau. It has customized versions for more than a dozen sectors, including banking, healthcare, and manufacturing, as well as support for financial, HR, IT, marketing, and sales departments.
Tableau’s features include survey and time series data mapping and interpretation. Its most recent trick is to use natural language processing artificial intelligence techniques to enable users to explain what they want to see rather than clicking and dragging to generate formulaic queries.
Sisense says its In-Chip database engine is faster than in-memory databases, and its BI software stack includes everything from the database to ETL, analytics, and visualization. It’s best known for its use of embedded business intelligence. New machine learning capabilities have been added to the current update.
Sisense can be installed on premises or in the cloud. Finance, marketing, distribution, HR, and IT, as well as customer support and operations and logistics departments – Sisense, has solutions for all. It also allows users outside the company to use analytics tools by embedding them in web applications. Sisense acquired Periscope Data in September 2019 and is currently incorporating advanced analytics technologies obtained as part of the deal.