Why speed and agility is important to your analytics

Agility is firmly established as one of the important attributes of modern, digital businesses.

On the Econsultancy blog we often discuss agility as it relates to marketing teams and business structures, but the concept can also have a transformative affect on data and analytics systems.

In recent weeks I’ve looked at why speed is so important in analytics, including analysis of five of the habits of speed-driven organisations.

These are:

  1. Blending of traditional and new components.
  2. Use of real-time data processing and analysis.
  3. Analysis of diverse datasets.
  4. Integrating digital and process transformations.
  5. Embedding analytics within business processes.

Agility is strongly related to speed in analytics as you can’t really have one without the other, and in this post I’ll take a look at the benefits of agile analytics.

And if you want to learn more about this topic, you should attend the Econsultancy and IBM BusinessConnect 2015 interactive roundtables in March, hosted in Malaysia,Thailand and Singapore.

Why speed and agility is important to your analytics

CopyRanger

Rick Duris is CopyRanger.

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