The Decision Maker

The Big Data Organization

Posted by Aaron Wang on Jun 23, 2013 10:02:00 AM

Implementing a Big Data project will pose three questions to your credit union:

  • What data should be used?
  • What analytics should be used?
  • How to use the results to drive positive change in the organization?

These challenges are discussed in an excellent article by McKinsey and Company. The authors point out that the third challenge is the toughest. All the work to get the new information will be meaningless if it cannot be used to create positive change.

In creating a data-driven-organization, credit unions need to do these things:

Define Capabilities

These questions need answers:

  • What information will be used?
  • How is it going to be used?
  • What skills are needed to guide the data through the process to make it information?

Pivotal roles

There are some critical roles that must be filled with highly qualified and skilled people. These are:

  • Business/Data Analyst
  • Data Architect
  • Report/Dashboard Developer
  • User Training and Support
  • Project Manager

Not only do these people need to be skilled technically, but also be able to work well together and be able to communicate effectively with users.

Create a Service Culture

It is one thing to create the organization is in place to successfully gather, transform, and distribute the information. It is another thing to create in that group a service culture. This includes not only the ability to train and support users, but to understand their business. In doing so, the technical team can envision their jobs in the larger context of the enterprise and to be oriented toward meeting organizational goals.

business-solution architect is someone who’s going toreally understand how to create the right big-data warehouse, so you can use the data andso that it’s accessible and useful.

The data scientists are folks that are going to really help create that advanced modeling,but also they’re going to be able to programmatically take those models andmake sure they’re repeatable and use programming language to reduce some of thehuman interaction.

The campaign experts are the folks at the last mile. If you have a great model but you can’tturn the model into a campaign that touches a consumer or a customer, you have nothing.So campaign experts are that last mile. They make sure that the models get turned intoresults that turn into actions. And those are some of the key roles that are really, really important to make sure that a client can leverage big data effectively and quickly. 

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