Avoid Failure in Self-Service Analytics: Strategies to Ensure Success with Your Data

The reason that many self-service analytics and business intelligence initiatives fail can be summed up in one concept – the lack of trustworthy data.  Variations in isolated desktop visualization implementations can lead to data inconsistencies.  As a result, what one business analyst reports with his or her ungoverned visualizations is different from, or may be contradictory to, what someone else displays. 

But, it doesn’t have to be this way! Many problems can be solved through the use of data governance techniques and automation. 

Join us for this informative webinar, featuring John L Myers, managing research director at EMA, and Heine Krog Iversen, founder and CEO at TimeXtender, to discover strategies and techniques that will encourage the creativity and analytical curiosity of your self-service community (read desktop cowboys) and ensure the information that your organization uses is consistent and trustworthy.   

You will also learn:

• How self-service analytics efforts fail
• How the chief data officer (CDO), data steward and data architect can move proactively to prevent those failures
• How self-service power users can accelerate their analysis without involving IT
• Best practices on how to avoid self-service pitfalls
• How the correct architecture contributes to self-service success
• How data warehouse automation fuels a successful architecture

Please note that this is a sponsored event and EMA shares registrant information with the sponsor.

Please contact rgould@enterprisemanagement.com for assistance and/or questions.