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Do you have a method for seeing all the data that passes through your organization? The need to democratize access to data and analytics, automate complex and tedious business processes, and amplify human output has led to analytic process automation (APA). Thousands of organizations across nearly every business and industry vertical use this software to accelerate data-driven business outcomes.

This report examines the power of APA using technology, business, and real-world examples. If you're a technical business, analytics, or business intelligence leader, you'll learn how to use APA to tackle complex problems, increase productivity, and improve efficiency. You'll discover what APA means for your business and for you.

This report explores:

  • The importance of data: understand how data is transformed into information and insights for making business decisions
  • Gathering data with APA: learn how APA differs from your current process
  • Data democratization: grant data access to employees and empower them to analyze specific tasks and performance
  • Data reporting: learn how APA blends data tables, fields, and values to help you search for insights at a granular level
  • Analytics: explore new tools that use AI and ML to improve the analytic process

Table of Contents

  1. Automating Analytics
    1. The Critical Role of Data in Modern Organizations
    2. Challenges with Traditional Methods
    3. How Analytics Automation Improves Business Outcomes
    4. Reusable Workflows Unlock the Information Value of Insights
    5. Empower Business Users with Code-Free Visual Workflows
    6. Analyzing Data No Matter Where It’s Stored
    7. Accelerating Insights with Automation
    8. Democratizing Insight Generation
    9. Limited Data Access Equals Limited Results
    10. Upskill Employees to Accelerate Insights
    11. AI and Analytics for Business
    12. Traditional Analytics and Reporting
    13. Improving Insights with End-to-End Capability
    14. Bringing Analytics to Everyone
    15. Faster Analytics and Better Decisions
    16. Predictive Analytics and Data Enrichment
    17. Process Monitoring and Immediate Insights
    18. Benefits of an Analytics Automation Strategy
    19. Accessible, Reusable, and Repeatable Insights
    20. A Community Devoted to Upskilling
    21. The Costs and ROI
    22. No-Risk Assessment of Analytics Automation
    23. Summary and Conclusions
    24. Analytics Automaton Platforms Are Approachable
    25. Changing “That’s How We’ve Always Done It” Mentality
    26. Analytics Automation Tackles Complex, Diverse Data
    27. Analytics Automation Integrates with Existing Tools
    28. Analytics Automation Is an Investment with Return Value
    29. Variety of Capabilities, Cost of a Single Platform
  2. Acknowledgments
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