After choosing the ideal structure for your future data analytics team, you’ll need to define roles. This process entails creating and assigning job titles for each prospective team member, ...

Centralized Team/Top-Down: A centralized structure is most widely adopted when the data team is located in a central business unit where they can work on projects across multiple business functions.

Regardless of which team structure you choose, analysis is only as good as the data that it’s built on. Unfortunately, at most organizations, data is typically a mess in the beginning ...

Creating the right ‘data culture’ When Schulze joined Micron in 2015 he saw pockets of big data analytics projects but no formal structure with which to tackle the company’s wealth of ...

“Structure your teams as multi-functional ones, balancing business analysts, data engineers, data scientists, software engineers, and quality assurance in one team,” Schipka says.

Companies that build a successful analytics team are more likely to see revenue, profit, and market share gains. Yet, according to the Digital Maturity Benchmark, only 9% of businesses use ...

In the past, data and analytics programs were spin-offs of existing analytics capabilities and consequently reported directly to departments like IT, business intelligence or finance. However, as data ...

I’m confident that the new structure will afford us the level of focus and expertise we need to build upon our success in audience analytics, business development and digital subscriptions, and ...