How To Be Successful with Self Service Analytics
by Myles Gilsenan, Vice President of Data, Analytics, and AI at Apps Associates
In this article, Myles first defines self-service analytics and then dives into five key takeaways to make self-service analytics successful. They include:
- Technology tools don’t solve problems
- Access to data does not equal self-service analytics
- Someone somewhere will need to do some data modeling
- Context is everything
- It takes a village to raise good self-service analytics.
With regard to self-service analytics it is a matter of when, not if. Successful organizations of the future will have a data literate workforce that is competent and nimble when it comes to leveraging data and analytics and they will have the tools, platform and surrounding explanations and definitions that will allow them to be effective and efficient. The investment in self-service analytics is worth it, but the strategy and investment required to be successful should not be underestimated.
Read the full article here.
About Apps Associates:
Apps Associates is a premier enterprise application services leader with a customer-first focus, who for more than two decades, has helped organizations innovate through digital transformation initiatives. Customers such as Brooks Automation, Hologic Inc., Edwards Vacuum, and Take Two Interactive Software turn to Apps Associates for end-to-end strategic counsel, system integration and the services required to solve their most complex business challenges—applying expansive expertise in data and analytics, application modernization, automation, digital systems, technology and operations and change management. To learn more about how Apps Associates can help align your business with the right technology, visit: www.appsassociates.com, or follow Apps Associates on social media on Twitter and LinkedIn.