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Key Business Intelligence Features_ Role and Importance

Standing by its name, business intelligence is about making calculated decisions with the help of existing data. In this article, we will tell you about some majoru202fbusiness intelligence features.u202fThese features can help you enhance the overall performance of your organisation.

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Key Business Intelligence Features_ Role and Importance

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  1. Key Business Intelligence Features: Role and Importance

  2. Introduction Standing by its name, business intelligence is about making calculated decisions with the help of existing data. In this article, we will tell you about some major business intelligence features. These features can help you enhance the overall performance of your organisation.

  3. Reporting imely reports are extremely important to keep concerned people updated. Automate the periodic delivery of reports by scheduling them. Optimize built-in alerts to send reports once specific conditions are met.

  4. 2. Advanced Analytics Advanced analytics enables you to carry out complex data operations. It accelerates regression analysis to examine the relationship between independent and dependent variables.

  5. 3. Data visualization Appealing and interactive data visualizations help to represent complicated information in the simplest form possible. BI tools like Tableau and Power BI can be utilized to develop easy and advanced visualizations.

  6. 4. Geospatial analysis One of the most impressive features is the geographic map. You can analyse the data of particular locations using this functionality. This business intelligence application uses location-wise information and transforms it into pictorial representations.

  7. 5. Mobile Business intelligence Mobile business intelligence is about accessing data and carrying out analysis using a mobile device or a tablet. With mobile BI smart business decisions are just a touch away. It enables you to connect with other team members and share the dashboard.

  8. 6.  Data management Data management consists of processes like assembling, sorting and cleaning the stored data for analysis. It includes merging different sets of data into one.

  9. 7. Self-service analytics A good BI framework should allow every member of the team to access the data. And let them deduce substantial insights. Self-service analytics constructs a robust data culture by making useful information available to all. The right business intelligence solutions ensure data protection and security.

  10. 8. Data integration There is no use for a Business intelligence solution which cannot connect to existing data sources. A good analytics framework is capable of connecting to different sources to access already available data. The integration should be seamless and must not disrupt the present data structure.

  11. 9. Predictive analytics Business intelligence solutions can use predictive analytics to identify fraudulent transactions, false credit applications, faulty insurance claims and much more. You can also analyze customer buying behaviour to prevent cross-selling and upselling opportunities.

  12. 10. User-specific security A good BI tool must allow you to customize BI features and applications as per a group or individuals. Some business intelligence solutions provide user-specific data sources. You can easily restrict particular users’ access to certain data sets.

  13. Conclusion Each organisation needs personalized business intelligence solutions depending upon their need. It is best to invest in business intelligence consulting services to achieve the desired results.

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