Taming big data and being able to get the business insight you need is a daunting task all by itself; but if everyone isn't on the same page when it comes to defining the scope of the project and all the right pieces aren't in place, the project is destined to fail.
Causes for Failure
- Lack of alignment. Business and IT groups are not aligned on the business problem they need to solve but instead are tackling it from a technology perspective. Lack of true commitment from business stakeholders also makes alignment harder to achieve.
- Lack of access. Access to data often is restrictive, and team members don’t have access to the data sets they need to find answers that will make the project successful.
- Lack of knowledge. Many of the technologies, approaches and disciplines around big data are new, so people lack the knowledge about how to actually work with the data and accomplish a business result.
How to Succeed in Your Big Data Project
- Start with a list of questions and business problems you want to answer
- Get endorsement from the top before you start
- Make sure your team has the knowledge necessary to execute the project
Author: Darin Bartik
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