Data Governance Enterprise Guide

Effective data governance is the cornerstone of organizational success. Explore the topic in-depth to master your organization’s data and transform it into a strategic asset.

What Is Data Governance? Data Governance Definition

Data governance is a framework of processes, roles, and policies that ensures the accuracy, security, and integrity of an organization's data. It involves managing data throughout its lifecycle, from creation to disposal.

Data Governance vs. Data Management: Main Differences

Think of data governance as the overall plan for how data should be used and managed, whereas data management is the day-to-day work of putting that plan into action. Both are essential to proper data usage, security, and compliance. Explore the differences between these critical data themes.

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Data Governance Framework

A strategic data governance framework is critical to properly collect, store, and manage an organization’s data. Discover the four pillars of an effective framework, challenges your company might face, as well as models and examples to deploy.

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Data Governance Tools

While data governance is important for any organization, choosing the right tool may also have a big impact on organizational success. Here’s your guide to help you make the right decision for your enterprise.

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Getting Started With Governance and Compliance For AWS

Just like any cloud based environment, AWS cloud environments pose both governance and compliance challenges. However, a managed services approach can help save the day. Discover how to leverage automation to simplify governance tasks through this approach.

Understanding The Business Impact of Data Governance

Data governance doesn’t just work in its own world—it impacts every corner of a company’s business. Explore key data governance concepts, the benefits of a good data governance program, and understand your organization’s data governance maturity level.

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ING Bank Slaski Automates Data Processing With Governance

ING Bank Slaski spun itself into a complex web of automation solutions. The Bank needed a solution. ING Bank Slaski streamlined its data processing workflows by implementing BMC software. See how this automation reduced processing time by 70%, eliminating manual errors and improving data governance and compliance.

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DataOps For Value Realization In Data & Analytics Transformations

Ram Chakravarti, CTO of BMC Software, highlights the challenges of traditional data transformation in today’s digital age. He introduces DataOps—a collaborative, automated, and pragmatic approach to data governance—and reviews a case study underscoring its importance. Learn how data governance and DataOps go hand in hand.

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