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10 Ways Business Intelligence will Help Small Business in 2022

Satavisa Pati

This is how small business will be benefitted by business intelligence

For starters, data discovery, which used to be limited to the expertise of advanced analytics specialists, is now something everyone can do using business intelligence tools. And not only that, these tools give you the insights you need to achieve things like growth, resolve issues that are urgent, collect all your data in one place, forecast future outcomes and so much more.

1. SAP Business Objects

SAP Business Objects is a business intelligence software that offers comprehensive reporting, analysis, and interactive data visualization. The platform focuses heavily on categories such as Customer Experience (CX) and CRM, digital supply chain, ERP and more. What's really nice about this platform is the self-service, role-based dashboards its offers enabling users to build their own dashboards and applications. SAP is a robust software intended for all roles (IT, end uses and management) and offers tons of functionalities in one platform. The complexity of the product, however, does drive up the price so be prepared for that.

Website: www.sap.com

2. Datapine

Datapine is an all-in-one business intelligence platform that facilitates the complex process of data analytics even for non-technical users. Thanks to a comprehensive self-service analytics approach, datapine's solution enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, build interactive business dashboards and generate actionable business insights.

3. MicroStrategy

MicroStrategy is an enterprise business intelligence tool that offers powerful (and high speed) dashboarding and data analytics, cloud solutions, and hyperintelligence. With this solution, users can identify trends, recognize new opportunities, improve productivity, and more. Users can also connect to one or various sources, whether the incoming data is from a spreadsheet, cloud-based, or enterprise data software. It can be accessed from your desktop or via mobile. Setup, however, can involve multiple parties and some rather extensive knowledge of the application in order to get started.

4. SAS Business Intelligence

While SAS' most popular offering is its advanced predictive analytics, it also provides a great business intelligence platform. This well-seasoned self-service tool, which was founded back in the 1970s, allows users to leverage data and metrics to make informed decisions about their business. Using their set of APIs, users are provided with lots of customization options, and SAS ensures high-level data integration and advanced analytics and reporting. They also have a great text analytics feature to give you more contextual insights into your data.

Website: www.sas.com

5. Yellowfin BI

Yellowfin BI is a business intelligence tool and 'end-to-end' analytics platform that combines visualization, machine learning, and collaboration. You can also easily filter through tons of data with intuitive filtering (e.g., checkboxes and radio buttons) as well as open up dashboards just about anywhere (thanks to this tool's flexibility inaccessibility (mobile, webpage, etc.). The nice thing about this BI tool is that you can easily take dashboards and visualizations to the next level using a no-code/low code development environment.

6. QlikSense

A product of Qlik, QlikSense is a complete data analytics platform and business intelligence tool. You can use QlikSense from any device at any time. The user interface of QlikSense is optimized for touchscreen, which makes it a very popular BI tool. It offers a one-of-a-kind associative analytics engine, sophisticated AI, and high-performance cloud platform, making it all the more attractive. An interesting feature within this platform is its Search & Conversational Analytics which enables a faster and easier way to ask questions and discover new insights by way of natural language.

Website: www.qlik.com

7. Zoho Analytics

Zoho Analytics is great BI tool for in-depth reporting and data analysis. This business intelligence tool has automatic data syncing and can be scheduled periodically. You can easily build a connector by using the integration APIs. Blend and merge data from different sources and create meaningful reports. With an easy editor you create personalized reports and dashboards enabling you to zoom into the important details. It also offers a unique commenting section in the sharing options which is great for collaboration purposes.

8. Sisense

Sisense is a user-friendly data analytics and business intelligence tool that allows anyone within your organization to manage large and complex datasets as well as analyse and visualise this data without your IT department getting involved. It lets you bring together data from a wide variety of sources as well including Adwords, Google Analytics and Salesforce. Not to mention, because it uses in-chip technology, data is processed quite quickly compared to other tools. This platform is even recognized as a leading cloud analytics platform by various industry experts such as Gartner, G2, and Dresner.

9. Microsoft Power BI

Microsoft Power BI is a web-based business analytics tool suite that excels in data visualization. It allows users to identify trends in real-time and has brand new connectors that allow you to up your game in campaigns. Because it's web-based, Microsoft Power BI can be accessed from pretty much anywhere. This software also allows users to integrate their apps and deliver reports and real-time dashboards.

10. Looker

Data discovery app, Looker is another business intelligence tool to look out for! Now part of Google Cloud, this unique platform integrates with any SQL database or warehouse and is great for startups, midsize-businesses, or enterprise-grade businesses. Some benefits of this particular tool include ease-of-use, handy visualizations, powerful collaboration features (data and reports can be shared via email or USL as well as integrated with other applications), and reliable support (tech team).

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