Data & Analytics management, From emergence to completion

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Big data or smart data?

Data Warehouses, Big Data, Data Lakes, Data Fabrics and now Data Mesh... These terms are everywhere nowadays, illustrating the evolution of the Data & Analytics landscape over time. But simply upgrading technologies is not enough for making data-based decisions and jumping on opportunities.

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Adapt with the growing maturity, changing business conditions and new risks or opportunities.

Blog

Illustrated by author

How to drive value from your data strategy?

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Big data or smart data?

A cockpit

Are you data-driven or value-driven?

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Creating a data culture is the first step to become a data-driven company

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The best practices for CDOs to derive the most value out of D&A in an organization

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Data-driven companies are 162% more likely to outperform non-data-driven ones

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Make sure you are setting your company up for a successful 2022!

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Where to start to choose the right D&A projects for your strategic goals?

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Manage your D&A initiatives as a product and not as a "data geek"

Case study

Case study about idea management

How a top retail company increased its productivity by 40% with YOOI?

Case study about idea management

How to promote and frame the identification of new Data & AI ideas?

Events and webinar

Lights On Data Show, How to engage your organization for data transformation?

Lights On Data Show: How to engage your organization for data transformation?

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Webinar | Squeezing value from your data assets

Gartner Data & Analytics Summit 2022

Gartner Data & Analytics Summit 2022

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