Assembling a big data team at your credit union
by: Brandon Bogler
To be successful, every initiative within a community financial institution (FI) requires a competent, knowledgeable group of collaborators, working together toward a common goal. An FI’s data analytics strategy is no exception.
Building a strong Big Data team often means the difference between effectively or ineffectively utilizing data analytics to its full potential. According to PwC’s fifth annual Digital IQ survey of more than 1,000 business and technology executives, fewer than half (44 percent) of respondents said they have the right mix of individuals to manage a purposeful data analytics effort.
A recent Credit Union Magazine article offers five steps to begin building your Big Data team:
- Define your data analytics needs — Ideally, a quality Big Data team will be made up of individuals who posses the skills necessary to effectively interpret data. They will possess expertise in the areas of business analysis, analytics, data technology and visualization.
