Interpreting Data Takes A Village

Interpreting Data Takes A Village

Raul Reyeszumeta
December 18, 2020

 

 
In a tech-driven, fast-paced world, data is vital to a business, helping to predict customer trends and behaviors, track progress against goals, drive effective decision-making, and increase overall productivity and profitability. However, with data coming from many sources across every layer of an organization, it can be challenging to sift through, particularly for those not in the tech sector.

So, how can your company make the process of sifting through this data easier for those unversed in the world of data? By building a community that networks together to more efficiently analyze data and create more business value from it.

In this episode of Diving into Data, host TC Riley dives deep into a Forbes article, The Case for Data Communities, to explore how a data community can unite a workforce—helping non-tech-savvy employees navigate an unfamiliar technological ecosphere and become fluent in the language of data, enabling them to join in the conversation, helping to de-silo a morass of daunting information that can reduce bottlenecks and hinder an entire team’s synergy.

A data community provides the individual with better control over the data that matters to them while allowing them to still leverage insights produced by the greater data community, benefitting the whole organization. However, to build a data community, it takes more than just training sessions and technical assistance. Rather, it’s a collaborative effort—supported by a company’s leadership, empowered by existing data leaders and embraced by each staff member—that builds confidence and fosters camaraderie around a shared mission for improving the business with data. In other words, it takes a village.

Listen to past episode of Diving into Data, here.

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