Data & Analytics Maturity Workshop

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MODULE 1
Breaking down data silos

Learn how to mature your organization beyond data silos to a centralized repository for your enterprise data.

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MODULE 2
Integrating data from third-party sources

Learn how to integrate data from third-party data sources to deliver enhanced insights for the enterprise.

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MODULE 3
Developing a data-sharing culture

Learn how to develop a data-sharing culture and move beyond just internal analytics consumption by delivering actionable insights to your partners and suppliers.

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MODULE 4
Combining data integration styles

Learn how to combine a variety of data integration styles to mature your organization’s data access abilities beyond data extracts.

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MODULE 5
Translating DevOps principles into your data engineering process

Learn how to translate the software engineering principles of DevOps into your data engineering process, or “DataOps”.

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MODULE 6
Using data models to create a single source of truth

Learn how to use logical and dimensional data models to create a single source of truth for all types of data consumption regardless of the tooling, persona or use case.

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MODULE 7
Making everyone a data analyst with a semantic layer

Learn how to make everyone in your organization a “data analyst” using a universal semantic layer for analytics.

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MODULE 8
Deploying “data as code” throughout the enterprise

Learn how to mature your organization beyond “one-off” queries and use cases into deploying “data as code” throughout the enterprise.

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MODULE 9
Using augmented analytics for predictive and prescriptive analyses

Learn how to mature your organization’s data analysis beyond simple historical analysis by using augmented analytics to drive predictive and prescriptive decision-making.

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