3 Critical Data Capabilities for Your Data Governance Solution
Data is an essential business asset for any organization, regardless of size or industry. There are countless ways organizations can leverage their data assets to gain a competitive advantage and offer greater value. However, regardless of business size, any success hinges upon data consumers fully understanding what data means from a business context and having […]
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 […]
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, […]
4 Data Democratization Best Practices
Over the past decade, data analytics have increasingly been fueling better business decisions. Data democratization is shifting that trend into high gear by putting powerful insights directly into the hands of front-line users across the organization. That comes with some risks. As companies increase data democratization, they also increase the possibility that data will be […]
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 […]
How ERP Data Entry Requirements Lead to Data Quality Issues
ERP data systems are the backbone of all but the smallest companies. At the core of an ERP system is the “general ledger” or accounting system that tracks all of a company’s financial aspects – and virtually everything has an impact on your financials. Marketing and selling a product has an impact; purchasing raw materials […]
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 […]
The Hidden Costs of Big Data
How much does big data cost? There are two ways to answer that question: The simplistic way, which looks only at surface-level big data costs, and the comprehensive way, which factors in the “hidden costs of big data” as well. What are the hidden costs of big data, you ask? Keep reading for an overview […]
Answer the Tough Questions about Your Customers with a Single Customer View
The implementation of a single customer view provides organizations the ability to have a more consistent and accurate understanding of, and communications with, their customers. However, the successful implementation of a single customer view can be challenging where representations of a customer are held in more than one system. In this case, discrepancies in customer […]
4 Building Blocks of Data Integrity
Digital transformation is opening doors to new possibilities through data-driven innovation. At the heart of this revolution lies a proliferation of connected devices, along with vastly improved capabilities for collecting, storing, manipulating, and analyzing data. For organizations that wish to unleash the potential of all their data and achieve their digital transformation objectives, data integrity […]
Kickstart a Data Quality Strategy to Build Trust in Your Data
Data quality strategy plays a foundational role within the broader context of data integrity. From the executive suite to the front lines, the people who rely on analytics to help them make important decisions must know that they can trust the integrity of the underlying data. Establishing that trust typically begins with a good data […]