How to Transform into an Insight-Driven Enterprise

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Create an Analytics Pod Team

High-performing companies with advanced analytics capabilities are fielding analytics teams with diverse skills. They are establishing "pod" structures or teams, which include a data scientist, analytics modeler, visualization expert, data engineer, business analyst and business domain expert.

Organizations are using multiple mechanisms to source this talent, including internal development and hiring (on campus and from other companies), partnering with academia, and even crowdsourcing. Companies are also focusing on talent retention by developing reward and incentive programs to keep this high-caliber talent engaged.

Many companies have had analytics, as a business discipline, on their corporate agendas for a number of years. Today, with the increased growth in data sources and the ubiquitous nature of analytics, a new environment is surfacing where robust analytics capabilities are needed just to keep pace. To obtain the most value from data in this evolving competitive environment, many companies are progressing beyond just using analytics, and are transforming themselves to build an insight-powered enterprise.

To help gain a greater understanding of these transformations, Accenture Analytics studied what the most analytically mature companies are doing to gain tangible value from analytics, and how their practices might be adopted by companies not as far along the maturity curve.

From the research, Accenture Analytics has identified five key characteristics that companies with mature analytics organizations generally share to pursue insight-driven transformation. Accenture has also outlined how companies could more effectively pursue this transformation and move from data to insights to outcomes for a competitive advantage.


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