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.

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.

Build Your Data Quality Program – Phases 1-4

Poor data quality is an ever-present challenge facing virtually every organization. This blueprint will help you establish a comprehensive strategy to remedy your most...

Build Your Data Quality Program – Executive Brief

Read our concise Executive Brief to understand the importance of data quality, Info-Tech’s methodology for conquering data quality challenges, and how we will support you...

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.

Build a Data Pipeline for Reporting and Analytics – Phases 1-3

This storyboard will help you understand how to build your data pipeline using the most appropriate data design patterns.

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 1: Understand Data Progression

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you understand the data progression across major business capabilities.
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