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How modern dashboards drive informed CXO decisions
- Business Intelligence (BI) and Analytics often fail to bring in the intended benefits as traditional data analysis is heavily dependent on IT support and data analysts. Self-service analytics empowers CXOs and their teams to analyze data independently without needing the constant assistance of IT or data analysts.
- Modern BI dashboards use artificial intelligence (AI), machine learning (ML) and generative AI (GenAI) to power advanced data analytics and discern complex patterns and trends that may not be apparent with traditional methods. This leads to improved predictions for future market behavior and better anticipation of customer actions with greater accuracy.
- Enhancements with self-service features in dashboards lead to improved data analysis capabilities and increased user trust in data insights. Personalised dashboards allow users to customise their dashboards according to their unique preferences and objectives. Insights are thus uniquely pertinent for their decision-making processes.
- Designing self-service dashboards requires a meticulous approach based on user needs, data quality, governance and security. Regular data maintenance and integrity validation are required to build and sustain trust in dashboard data. Security measures can help protect sensitive information from probable risks or vulnerabilities.
- The integration of advanced technologies along with self-service data analytics holds immense potential for modern enterprises. The integration of advanced AI/ML features enhances the interface with business-oriented, codeless data exploration.
- Dashboards can be accessed on mobile devices providing a comprehensive data analysis experience, enabling CXOs to monitor and make decisions from anywhere. As new technical applications emerge, their integration with self-service analytics is making data work for everyone and with remarkable ease.
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