Business Intelligence (BI) Tools: It is true that small businesses are different from large businesses, but they need actionable insights to improve their businesses, especially in times of unprecedented crisis like the COVID-19 pandemic. Business intelligence software tools are easier to use and more flexible than they used to be. With these software solutions, companies of all sizes can now collect, analyze, and turn this kind of data into reports that are easy to understand and give businesses valuable insights, which in turn drive corporate profits.
But because there are so many BI tools on the market, and they come in different ways, it can be hard to figure out which one to choose. In this article, we’ll look at what our experts think is the best business intelligence software for small and large businesses. We’ll pay close attention to their features, functionalities, and prices. This should make it easier for you to choose between your options.
WHAT DO “BI TOOLS” MEAN?
BI tools are types of software that are used to collect, process, analyze, and visualize large amounts of past, present, and future data in order to get actionable business insights, make interactive reports, and make it easier to make decisions.
Some of the most important features of these what is business intelligence analyst platforms are data visualization, visual analytics, interactive dashboards, and KPI scorecards. Also, they allow users to use automated reporting and predictive analytics based on self-service, all in one solution. This makes the analysis process quick and easy to use. But what exactly are the benefits of these BI applications, and what can they do that other ways of managing data can’t? Everything begins with technology.
1. SAP Business Objects
2. Datapine
Using Datapine, users can easily conduct data analytics easier to do, even for users who aren’t tech-savvy. With an end-to-end self-service analytics approach, datapine’s solution simplifies the connection of multiple data sources, performing sophisticated data analysis, building interactive business dashboards, and gaining actionable business insights.
3. MicroStrategy
4. SAS Business Intelligence
SAS’s advanced predictive analytics are its most popular offering, but it also has a great business intelligence platform. This self-service tool, which has been around since the 1970s and has a lot of experience, lets users use data and metrics to make smart business decisions. Users have many customization options with their APIs, and SAS ensures that high-level data integration and advanced analytics and reporting are done. Additionally, they offer a powerful text analytics feature that can help you understand your data in a bigger picture.
5. BI Yellowfin
6. QlikSense
This is a product of Qlik and is a complete data analytics platform and business intelligence tool. QlikSense can be used on any device at any time. QlikSense is a very popular BI tool because its user interface is made for touch screens. It has a unique associative analytics engine, advanced AI, and a high-performance cloud platform, which offers it even more appealing. The Search & Conversational Analytics is an interesting feature of this platform. The use of natural language makes asking questions and finding new insights faster and easier.
7. Zoho Analytics
Zoho Analytics is a great business intelligence (BI) tool for detailed reports and data analysis. This business intelligence tool syncs data automatically and can be set to run at certain times. With the integration APIs, it’s easy to make a connector. Mix and match data from different sources to make reports that make sense. With an easy-to-use editor, you can make custom reports and dashboards that help you focus on the important details. It also has a unique section for comments in the sharing options, which is great for working together.
8. Sisense
9. Microsoft Power BI
Business analytics tools from Microsoft Power BI that you can use on the web. It is especially good at making data look good. It lets users find trends in real time and has brand-new connectors that can help you improve your campaigns. Since it’s on the web, Microsoft Power BI can be used just about anywhere. Users can also connect their apps to this software and send real-time reports and dashboards.
10. Looker
Data discovery app Looker also made our list of the best business intelligence tools because of how easy it is to explore data with it. It has a web interface that lets companies use the skills of their analytics teams. Using the system, teams can make and share reports in an instant, which helps their organizations use data to make better business decisions and actions.
Users can also make their own analytical modules and design visualizations with a single line of code in Looker. ML code on the platform makes it easy to create and improve queries. It can look at both web-hosted data and SQL data, and it can handle more than 25 different types of data, such as Vertica, Hive, and Google BigQuery. Companies have been using this piece of software to improve customer satisfaction and turn site traffic into ecommerce data. Try the Looker free demo to get a better idea of how this BI platform works.
11. Clear Analytics
This BI tool is an easy-to-use software built on Excel that can be used by employees who know the basics of Excel. You get a self-service Business Intelligence system that lets you create, automate, analyze, and make sense of your company’s data, among other things. This solution works with the Microsoft bi tools, as mentioned above Power BI by using Power Query and Power Pivot to clean and model different datasets.
12. Tableau
Tableau is a Business Intelligence tool focusing on data discovery and visualization. With the software, it’s easy to analyze, visualize, and share data without the help of IT. Tableau works with many data sources, like Microsoft Excel, Oracle, Microsoft SQL, Google Analytics, and SalesForce. Users will have access to dashboards that are well-designed and easy to use. Tableau also has several stand-alone products, such as Tableau Desktop (for anyone) and Tableau Server (analytics for organizations), which can be run locally, Tableau Online (hosted analytics for organizations), and many more.
13. Oracle BI
Oracle BI tools is a set of technologies and applications for business intelligence used by large companies. This technology gives users almost all microsoft’s business intelligence features, like dashboards, proactive intelligence, ad hoc, and more. Oracle is also an excellent solution for companies that need to analyse large amounts of data from Oracle and other sources. Data archiving, versioning, a self-service portal, and alerts/notifications are important features.
14. Domo
Domo is a business intelligence platform that runs entirely in the cloud and brings together data from many different sources, such as spreadsheets, databases, and social media. Small companies and large multinationals both use Domo. The platform offers visibility and analysis at both the small and large scales (including predictive analysis power with Mr. Roboto, their AI engine). From cash balances and lists of your best-selling products by region to calculating the marketing return on investment (ROI) for each channel. The only problems with Domo are that it’s hard to get personal analyses from the cloud and that it’s hard to learn.
15. IBM Cognos Analytics
Business intelligence tools are great, but are they missing something?
Business Intelligence engineer Tools are very flexible and can tell you a lot about your business and where it is going. But while it’s great for putting together information from different sources and making sense of it, it doesn’t do much for getting information directly from your customers. So why not go even further…
Voice of Customer (VoC) is a key part of creating more money (which we’ve already talked about) and making your customers feel loyal and appreciative of your efforts to give them a meaningful online experience. That, my friends, is where success comes from.
So, how can you add this Voice of Customer data to the BI tools you already have? Try getting and analyzing user feedback.
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