Download the slides here>> Massive increases in data volumes and the variety of data sources continue to challenge organizations that require high-quality data. Turning this data into actionable intelligence and competitive advantage requires having the proper technology, people, and processes in place. At the heart of being able to trust the information is ensuring […]
Precisely Demo: Decision Confidence – Using Modern Approaches to Data Quality to Improve Trust in Data
Download the slides here>> As the quantity of data we create and manage explodes along with our dependence upon that data for critical business decisions, we need to reimagine how to ensure that we can trust our data and be confident in our decisions. Join us as we demonstrate how to achieve trust in […]
How Generative AI Is Making Data Catalogs Smarter
For the 72.29% of companies that want to gain business insights through analytics, knowing what and where to find their company-wide data becomes essential. To solve this need, many organizations implement data catalogs – comprehensive directories that list and describe all available enterprise data. Not every data catalog functions the same, and ones that use generative AI (aka “smart […]
Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security
The term “big data” is no longer the exclusive preserve of big companies. Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools. Effective access to […]
Nine Key Benefits of Metadata Management
Metadata management can offer many benefits for businesses, for a number of reasons. It is used to establish and enforce rules on defining and discovering an organization’s data assets. Among other things, this allows researchers to locate data quickly and efficiently and helps promote accurate data use. Metadata management is the organization of metadata for […]
Data Portability Offers the Only Prospect of Gaining Control Over Our Digital Identity
In the digital age, our lives are intricately intertwined with the vast amount of data we generate, akin to footprints on snow. Every online interaction, every purchase, and every social media post leaves a trackable trail, which taken together represents our digital identity. This digital self, however, is increasingly under threat – from data breaches, […]
To Share or Not to Share: 3 Keys to Faster and Safer Data Delivery
Data represents the lifeblood of any organization, whether gathered and analyzed for boosting sales, developing new marketing strategies, improving customer satisfaction, or long-range strategic planning. Key decision-makers would be lost without it. Despite the crucial role that data plays across the entire enterprise, the issue of who gets access to information while also keeping it […]
Do Enterprise Data Contracts Require Data Democratization?
Data contracts are formal agreements between a data provider and a data consumer. They abstractly describe the data as well as the exchange structure, format, and characteristics and schema of information. Why is a data contract required? Data contracts establish guidelines and rules for data sharing, storage, deletion, or archival. Moreover, they ensure that the data […]
Data-Ed Webinar: The Importance of Metadata – 3 Leveraging Strategies
Download the slides here>> About the Webinar The first step towards improving data asset value is mastering organizational data leveraging capabilities. Improving your metadata practices effectively focuses on data-leveraging strategies: Metadata – literally, data about data – is a practice area required by all organizations. Understanding metadata and its associated technologies as more than […]
Which Data Quality Issues Are Plaguing Data Engineers Today?
We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]