Self-Service Data Discovery: Do you Know Where Your Data Is?
Posted by EdmontonPMSep 28
Live Webinar October 5, 2011 – 2:00 pm to 3:00 pm EDT
Presented by: Ema
Webinar Duration: 1 Hour Credits: 1 PDU Category C – Free PDU
The data economy means that more and more organizations are relying upon trusted data to make strategic business decisions. As these organizations have seen the benefits of “traditional†business intelligence, they are looking to see similar benefits from data throughout the enterprise.
The next steps in business intelligence include:
- Self-service business intelligence & data discovery, empowering business users – “consumers†of data – to find, access and work with the data they need, regardless of source system or format;
- Report analytics, a key component of business analytics, that enables business users to apply business intelligence & data discovery principles to access, analyze and act upon data trapped in static reports and semi-structured business documents
- Data visualization, presenting complex data elements and their relationships in an easy to understand dynamic, graphical environment; and
- Data virtualization, integrating data from disparate sources without moving the actual data.
Join EMA VP of Research Shawn Rogers (LinkedIn profile) of Datawatch CTO Harvey Gross, and Informatica Product Marketing Manager Ash Parikhfor for a discussion covering the hot topics in leveraging your enterprise data assets.
Presenters:
- Shawn Rogers, VP of Research EMA
- Harvey Gross, CTO Datawatch
- Ash Parikh, Product Marketing Manager Informatica
PDU Category C documentation details:
Process Groups: Planning Executing
Knowledge Areas: 4 – Integration 5 – Scope 6 – Time
- 4.3 Direct and Manage Project Execution
- 5.2 Define Scope
- 6.5 Develop Schedule
As a Category C, ‘Self Directed Learning’, activity remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder.’
Click to register for Self-Service Data Discovery: Do you Know Where Your Data Is?
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