Similarly , diversity also makes your data team stronger . Bringing teams together with the shared goal of optimizing the use of data has the added benefit of injecting fresh perspectives into your department and organization .

Our study found that only 13 %* of respondents are incentivizing employees to innovate with data and analytics , and only 8 % are establishing cross-departmental communities of data enthusiasts . In order to bring diverse perspectives to bear on the data paradox , data has to be a central focus for the organization , not something on the periphery .

It ’ s important to advance data proficiency as part of a company-wide culture that goes beyond technolog . The human side is just as critical .

Data scientists

Responsible for applying intelligence ( both artificial and human ) to the data . They can help wrangle algorithms , build tools to automate collection and queries , and create reports and presentations for the business .

Software developers

Orchestrate your various platforms and solutions to work with each other , using APIs to build tools for reporting and analysis .

Team Members

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