Business-Driven Business Intelligence and Analytics
Self-reliant and less dependent on IT, business executives and departmental/LOB managers and users are deploying the latest tools, services, and applications for business intelligence, analytics, and data discovery. Although IT is hardly disappearing from the picture, IT needs to adjust how it manages access to data sources and governs BI and analytics. Enterprise BI/DW systems also need to accommodate how users customize their BI and analytics as they see fit based on their roles. As BI and analytics tools become easier to use and more flexible, the trend toward business users directing their own BI and analytics experiences will accelerate.
Join this TDWI Webinar and find out how peer organizations are adjusting business-IT relationships, addressing governance concerns, and using the latest technologies to enable nontechnical business users to shape their experiences with BI and analytics so they can realize more value from information. The Webinar will look at the functionality of self-service BI and analytics tools, prebuilt components, appliances, and cloud options for meeting the requirements of nontechnical business users. It will discuss how business units such as marketing departments are taking the initiative to do their own data science and big data analytics, and how this trend is requiring a new definition of business-IT collaboration.
This Webinar is based on TDWI’s recently released Best Practices Report, Business-Driven Business Intelligence and Analytics. The report delivered insights from an extensive research survey and interviews with users and industry experts. The Webinar will help you develop the right strategy for business intelligence analytics, including rebalancing the business-IT relationship and selecting the appropriate technologies for nontechnical user satisfaction.
Attend and learn:
You will learn:
- Key drivers behind the trend toward business-driven BI and analytics
- What functionality is most important in self service, easy-to-use BI, analytics, and data discovery tools for nontechnical users
- How to develop a strategy for technology choices about prebuilt components, analytic appliances, and cloud options
- Recommendations for addressing data governance, security, quality, and related concerns as business users take more control of their BI and analytics
- Why data science and big data analytics trends are accelerating momentum toward business-driven BI and analytics