Data Governance Policy

This policy establishes uniform data governance standards and identifies the shared responsibilities for assuring the integrity of the data and that it efficiently and...

Create an Architecture for AI

For AI to be able to answer questions or discover new relationships, it needs an underlining architecture that not only describes the data AI will operate on but also...
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Data Use Case Framework Template

This template takes you through a business needs gathering activity to highlight and create relevant use cases around the organization’s data-related problems and...

Establish Data Governance

The amount of data within organizations is growing at an exponential rate, creating a need for organizations to adopt a formal approach to governing their data. However,...
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Establish Data Governance – Phases 1-3

Building a data governance engine is a critical first step to enable data-driven knowledge and insight. Use this research to help you create a sustainable and effective...

Data Governance Planning and Roadmapping Workbook

Use the Data Governance Planning and Roadmapping Workbook to assist with establishing effective data governance practices.

Data Quality Practice Assessment and Project Planning Tool

Use this tool to perform a detailed assessment of your organization's data quality practice capabilities and identify gaps that will direct your overall data quality...

Build a Data Pipeline for Reporting and Analytics

Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
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Build a Data Pipeline for Reporting and Analytics – Phase 3: Select Data Design Patterns

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you select the appropriate data design patterns for your data pipeline components.

Build a Data Pipeline for Reporting and Analytics – Phase 2: Identify Data Pipeline Components

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you identify data pipeline components.
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