Enterprise Vision

Identifying "why" the credit union is harnessing the data;
Creating a future state that can be achieved in a reasonable time frame and via a beneficial framework; and
Leveraging internal and external talent to create a transformation village.

Member Focus

Identifying members' financial goals;
Identifying friction, competition and disruption in the member ecosystem; and
Envisioning a future member state and data use case.

Data Maturity

Assessing the data maturity of the credit union;
Building a data governance foundation; and
Identifying the tools needed today and tomorrow.

Talent

Building a data analytics consumption capability; and
Strengthening innovation processes and mindset.

Continuous Capabilities

Creating valuable roadmaps;
Building centers of excellence; and
Creating workplace adoption.

Transforming a credit union is no simple task. A recent survey performed by MX found that 92% of credit unions do not leverage their available data effectively. Consulting firm McKinsey cited the top five reasons why data efforts fail as:

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