Sometimes working with big data resembles dining at an “all-you-can-eat” restaurant: you get too much food and are busy swallowing it all without thinking of its quality or your health. You should never forget, though, that data is a double-edged sword and requires cautious handling. If gives businesses new power to organize, operate, predict and create value, but it entails numerous risks, including data-security questions, privacy concerns, and uncertainty about ethical boundaries, to name just a few.
To create a data-driven culture is becoming critical in times of global connectivity and data-driven organizations.
“Data culture” is a relatively new concept which is becoming pivotal nowadays, when organizations develop more progressive digital business strategies and apply meaning to big data. It refers to a workplace environment that employs a consistent approach to decision-making through emphatic and empirical data proof. In other words, it implies that decisions are made based on data evidence, not on gut instinct.
Key Concepts of Data Culture
1. Data culture is a decision-making tool
Data analysis is not invented for the love of science; its fundamental objective is collecting, processing and deploying data to make better decisions with a focus on the outcomes. The insights, ideas, and innovation generated by the team shall be ...
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