Data Governance
Modern data governance is a strategic and collaborative practice that enables organizations to know their data, understand its meaning within a business context, and maximize its data quality, security and value. Digital transformation and other data-driven initiatives require data governance to succeed. But many organizations don’t yet have the enterprise data visibility, data governance efficiencies, or business user engagement to make data governance a practical reality. Data governance software can provide teams with the needed capabilities and automation to change that.
Fuel Data Governance with Data Quality Visibility
What is data governance?
Data governance refers to how an organization creates, collects, retains and
uses data. An organization with a well-implemented data governance practice
will have identified owners – or stewards – of enterprise data,
formal processes for managing it through the lifecycle, and a governing body
for enforcing and ensuring compliance with those processes. So in essence, data
governance explains an organization’s philosophy on information
collection, use and management. This is a big job that literally grows every
day, given the amount of data in the expanding digital universe.
Learn more about our definition of data governance.
Why data governance is important but challenging
Until recently, data governance was primarily an IT role that involved cataloging data elements to support search and discovery. But in this digital age, data and its governance is everyone’s business. Data keepers – IT – and data users – the rest of the organization – must be able to discover, understand and use data to drive opportunities while limiting risks. Think of it this way: the right data of the right quality, regardless of where it is stored or what format it is stored in, must be available for use only by the right people for the right purpose. Making this imperative a reality requires an ongoing strategic effort, enterprise collaboration and enabling technology that provides a holistic view of the data landscape, including where it lives, who and what systems use it, and how to access and manage it. Data governance is very necessary but also complicated, so most enterprises have difficulty operationalizing it.
Drivers & benefits of enterprise data governance
Enterprises in different sectors have contended with such regulations as HIPAA, SOX and PCI-DSS for several years. But passage of the European Union’s General Data Protection Regulation (GDPR) and its stringent penalties for noncompliance thrust data governance into the spotlight, forcing most organizations to re-evaluate their approaches and tooling. While progress has been made, enterprises are still grappling with the challenges of deploying comprehensive and sustainable data governance, including reliance on mostly manual processes for data cataloging, data lineage and data mapping. However, organizations that recognize data as an enterprise asset that can be controlled and yield long-term value are realizing a lot of benefits:
Regulatory compliance
Respond to audits and demonstrate compliance with data regulations through proper reporting and documentation, including lineage.
Operational efficiency
Streamline day-to-day operations by implementing improvements, eliminating redundancies and providing optimal employee training and communications.
Revenue growth
Uncover ways to reduce expenses, create new revenue streams and even monetize your data.
Privacy & security
Strengthen data privacy and security procedures and adherence to those standards, as well as identify and tag sensitive data elements.
Accurate analytics
Be able to take advantage of data analytics tools and ensure the validity of those dashboards because the underlying data is accurate.
Data literacy
Ensure consistent data standards and definitions so enterprise stakeholders are data literate, fluent in how your organization defines and talks about it.
Data quality
Reduce errors and/or find and remediate them quickly to ensure data users can trust the information on which their analyses are based.
Improved decision-making
Provide controlled access and visibility to a single version of data truth, making it easy to quickly assess information and decide how to act on it.
Innovation
Develop new products and services or improve existing ones, as well as modernize business, technology and data infrastructures.
Customer satisfaction & trust
Deliver efficient, personalized and relevant customer experiences that establish trust and build loyalty.
Reputation management
Protect your data assets and be transparent about how you use them so you can avoid data breaches and other missteps.
Petco champions data governance and data literacy with erwin
Why trust erwin for your data governance program?
Leading organizations worldwide rely on erwin Data Intelligence by Quest to provide the data catalog, data literacy, data quality and automation capabilities needed to make data governance truly achievable. erwin Data Intelligence brings IT, data governance teams and business users together to discover, understand, govern and socialize data assets, so that enterprises know how to best use and protect their data to the greatest advantage.
erwin Data Intelligence provides the customizable governance framework and out-of-the-box glossaries and templates, backed by a knowledgeable team of experts, to help organizations quickly stand-up data governance programs. Market-leading data catalog automation capabilities for metadata-harvesting, data mapping, data lineage, impact analysis, data quality and sensitive data identification make full enterprise data visibility achievable. Data governance teams have the needed business glossary management and data stewardship automation to effectively assign business meaning to data and drive data governance forward. And all stakeholders have the self-service data discovery, literacy and collaboration capabilities to truly be a part of a data-driven culture.Get started now
Make data governance an enterprise experience, so all stakeholders know what they need to know to produce results. Being able to harness and activate your metadata with erwin Data Intelligence is the first step.
Resources
2022 State of Data Governance and Empowerment Report
With a view into the data governance, data management and DataOps efforts within large enterprises across North America, the 20...
How can data intelligence tools unlock the value of data governance?
Watch this recording of a live webcast where you’ll learn how erwin Data Intelligence can help you minimize organizational risk...
Petco harnesses data with erwin Data Intelligence
As Petco seeks to redefine its stores as pet care centers, it has been expanding its offerings. Petco turned to erwin Data Inte...
What Is Data Governance? 2 Minute erwin Expert Explanation
Data has to be accessible, manageable and trusted by those who need it and protected from those that don't. With a good data go...
Solving the Enterprise Data Dilemma
This e-book discusses harmonizing IT-oriented data management with business-led data governance to fuel an automated, high-qua...
The Value of Robust Data Intelligence to Enable Data Governance
IDC explores the value of data intelligence to help organizations synthesize information, improve their capacity to learn, and ...
The Regulatory Rationale for Integrating Data Management & Data Governance
Learn how to ensure your organization is ready for whatever regulations come your way.
Why data empowerment is key to effective cloud operations
An effective cloud strategy must include more than just moving
everything to the cloud. For optimum business outcomes, organi...