How to get from data to decision in your innovation process


Published on

Gathering the data and ideas that lead to innovative solutions is an on-going process.

Published in: Business, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

How to get from data to decision in your innovation process

  1. 1. HOW TO GET FROM DATA TODECISION IN YOURINNOVATION PROCESSFor additional information about Innovationplease visit
  2. 2. www.InnovationGrow.comGathering the data and ideas that lead to innovative solutions is an on-going process. As part of any great innovation process your companymust have a way of not only creating a multitude of great innovativeideas but also implementing these ideas as a useful application. Buthow do you take the idea and data from inception to decision andimplementation for the most success?Making sure that you have a method and process or framework in placeto guide the innovation along is the first step, but beyond that you mustensure that this process is fast and the feedback based iterations canoccur as quickly as possible. Taking the time to develop and test a greatinnovation process that focuses on testing quickly and often will allowyour organization to make the fastest decisions on the data andimplement more successful innovations, all the while killing the ideasthat aren’t as good.2
  3. 3. www.InnovationGrow.comDeveloping the specific testing and decision steps of the innovationprocess requires that you implement a way to get real-time feedbackinformation that is actionable.Building metrics that you can use as a quick veto, as well as a series oftests at different points in the innovation cycle will make sure that youcan have all of the data that you need when you need it.Making a decision that isn’t based on the data, with regards toinnovation, is a lot riskier than it has to be. These non-data decisionscan also be more difficult to make as there is no clear cut expectation ofwhat makes a good or bad decision. Collecting, analyzing, and thenusing the data thereby is the preferred method in not only innovationbut many business processes.3
  4. 4. www.InnovationGrow.comIt takes time to build a great innovation process that is useful for yourspecific organizational needs and requirements, but finding ways tocollect data from as many different points of the innovation process willensure that you have the necessary data to start from.Developing metrics from this data that can be tested and tracked overtime will help your organization to develop the most efficient processand go from data to proper decision much faster.4
  5. 5. GROWING BUSINESS WITH INNOVATIONFor additional information about Business Innovationplease visit