Maximizing Data Value through Integrated Data Governance and Data Quality
The costs of bad data have had a significant impact across the business world. As reported by Gartner’s Data Quality Market Survey, poor data is responsible for an average of $15 million in losses annually. These staggering numbers come as no surprise when you consider the massive volumes of data being created, ingested and transformed […]
Industry Analyst Perspective: Data Democratization and AI Drive the Scope for Data Governance
As data democratization, AI, and compliance play increasingly important roles in today’s business world, enterprises are turning to data governance tools and practices to ensure they stay ahead of the potential pitfalls and challenges associated with these trends. At Precisely’s Trust ‘22 Data Integrity Summit, Forrester Principal Analyst Achim Granzen outlined key trends accelerating the […]
The Roadmap to Data Success: Embracing a Data Catalog
Data governance is important so business users can leverage data assets. An important tool to help them organize and use data is a data catalog. When seeking a competitive advantage, organizations must turn big data into actionable insights. However, as data being collected, shared, and deployed at today’s rapid pace, IT is often the only organizational […]
3 Steps to a New Enterprise-Wide Data Governance Program
Many organizations have data governance initiatives. But these efforts are often siloed within departments and focused on policies to ensure regulatory compliance and a data governance program. When an enterprise-wide data governance program is designed with business users in mind, it encourages a data-driven culture built on collaboration and a better understanding of your data. […]
Why and How to Create an Agile Data Governance Policy
Your data is always changing, and your data governance policy needs to change, too. If it can’t, it’s not agile – and if it’s not agile, it won’t work in today’s IT environment. Here’s why and how to create a lean and agile data governance strategy. To understand what agile data governance means, let’s first […]
5 Challenges That Can be Solved with Data Governance
In an era of rapidly advancing technology, big data and advanced analytics, data governance serves a vital function within every organization, regardless of size or industry. From defining guidelines for metadata management, to driving processes for data issue resolution, to actively measuring data quality improvement over time, the importance of data governance cannot be understated. […]
Leading Practices for CPG Data Governance & Quality
The consumer packaged goods (CPG) industry is in the midst of a transformation. The rise of ecommerce, rapidly advancing technologies, changing consumer behavior, and the arrival of big data have all tipped data strategy from a competitive advantage, to a business imperative. In CPG, data governance and quality have been, and will continue to be, […]
What is Data Lineage and Why is it Important?
If you work with data, you’ve likely found yourself asking questions about where that data comes from and whether it’s accurate and up to date. Data lineage metrics is your roadmap that answers those questions, and protects data quality. Why is that so important? Enterprise data is in constant motion. As soon as an organization […]
2 Tips for Data-Driven CPG Customer Satisfaction
Over the years, Precisely has had the honor of partnering with some of the largest, most prestigious consumer packaged goods (CPG) brands in the world. A common need that our teams help these businesses tackle, is the early challenge of rallying executive support for investments in data – followed by an initial sprint of establishing […]
The Recipe for Enterprise Data Governance Success
As a Director of Sales here at Precisely, I hear the question from customers all the time: “How do I know that my business is ready for data governance?” I like to break down enterprise data governance readiness into a recipe of sorts, with a checklist of ingredients to go along with it. Immediate first-level qualifiers – […]
How to Build a Metadata Strategy within a Data Governance Framework
Metadata provides crucial information that powers accurate analytics for rich business insights. And an effective metadata management strategy relies on a comprehensive data governance framework. Let’s explore the relationship between the two, and how you can build each strategy for success. First, how is your metadata management strategy interlinked with your data governance framework? When […]
5 Data Quality Best Practices for Consistent and Error-Free Data
You know why data quality is important. But do you understand what data quality looks like in practice? If not, this post is for you. Keep reading for a primer on data quality best practices. Ensuring data quality means making sure that your data sets are fit to serve the goals you intend to meet […]