Data Life Cycle

The Data & Analytics process has a life cycle that’s needed to collect, store, manage, and share data correctly. The cycle includes five interrelated pillars with a symbiotic relationship that allows a company to progress from one pillar to another.

The Five Pillars to Promoting a «Data» Culture

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Data: Needs to be reliable across the entire organization.

Technology: Must be perceived as an accelerator to achieve better business analytics performance.

Analytics: Should provide insights from data that result in actions that help to achieve strategic objectives.

People: Need to find, motivate, and retain talent who have the skills to develop data and analytics projects.

Culture: Ensure the company makes a habit of using data to make decisions.

The Data Life Cycle can only be complete when the five pillars work together and result in people making data-driven decisions.

 

Companies must follow the Data Life Cycle thoroughly to promote and strengthen a data culture.

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Este artículo fue escrito por de SDG Group.

Apr 12, 2020 10:27:28 PM

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