Webinar: Design Data-as-a-Service

To drive future data growth we must move toward a well-developed data marketplace and Data-as-a-Service (DaaS) framework.

AI Registers: Finally, a Tool to Increase Transparency in AI/ML

Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no...

Webinar: Build a Reporting and Analytics Strategy

Your reporting and analytics strategy must support the organization’s strategy – it provides direction and requirements for data accumulation, augmentation, and...

A Consensus Is Emerging: AI Regulation Must Be a Global Effort That’s Values-Driven, Risk-Based, and Evidence-Informed

Governments are starting to regulate AI. The current efforts are still rather fragmented, but a consensus is emerging. Read our summary from a recent event, the Athens...

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...

Data Quality Problem Statement Template

One of the biggest challenges in data quality is determining the actual data quality problem. Use this template to identify the data quality problems that are facing the...

Data Lineage Diagram Template

Use this template to create a data lineage diagram – a tool that will help give context to data quality issue root cause analyses and solutioning.

BI Strategy and Roadmap Template

Use this template throughout this project to document findings as you conduct and complete assessments and key ideas and opportunities for your BI program.

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 – Executive Brief

Read this Executive Brief to understand why it is important to switch from squeezing all your data management activities into the enterprise data warehouse environment to...
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