Click to learn more about author Ronald G. Ross. In this fourth and final post of a four-part series about crafting great business definitions, I will explain the difference between definitions and rules, and how each best serves its own particular purpose. Read Part 1, Part 2, and Part 3 here. Definitional Rules Definitions are fundamentally […]
Why CDOs Need a Bigger Budget Now for Data Governance
Click to learn more about author Amar Kanagaraj. The cybersecurity landscape has been undergoing a sea change, driven by growing data privacy concerns, ever-increasing security threats, regulations, and geopolitical factors. Recently, COVID-19 has fundamentally changed many definitions and structures for businesses. The current health crisis has brought data privacy and security vulnerabilities more sharply into […]
Governed Self-Service Analytics, People, and Processes
Click to learn more about author Aditi Raiter. Self-service BI is lucrative but demands an eye on governance and security. In this article, I will stress the behaviors and strategies needed around managing self-serve BI/reporting tools. Self-service analytics rotates around business users having access to data preparation and dashboard building tools. There are many challenges […]
So Your Customer Data Is Broken: Now What?
Click to learn more about author Olivia Hinkle. Over the past few months, businesses have been digging deeper into their CRM data and using email as a primary channel for communicating critical messages. They’ve also been eagerly reminding customers of their presence, even if the customer hasn’t been to their business or website for years. […]
A Data Governance Policy Becomes a Focal Point of Real Change
Click to learn more about author Steve Zagoudis. One of the most critical aspects of an effective Data Governance implementation is having a comprehensive Data Governance policy. The need for a policy is often considered a bureaucratic burden. Like a charter, all governance groups seem forced to have these two governing documents as a license […]
Garbage In, Garbage Out: How We Got Here and Why We Must Get Out Now
Click to learn more about author Bill O’Kane. Organizations across industries continue to deal with a broad-based inability to commoditize siloed business processes in favor of a digital business transformation — one that requires a common understanding of the organization’s master data. Studies have found that many businesses have recently become much more cognizant of this, or […]
Crafting Great Business Definitions: Shaping Precise Definitions
Click to learn more about author Ronald G. Ross. In this third post of a four-part series about crafting great business definitions, I will explore how to make definitions precise. Surprisingly, the very first word in the definition is key to keeping it on target. Beyond that, I will explain how to express fine distinctions between […]
Revolutionizing Your Data Catalog with Automated Metadata and Lineage
Click to learn more about author Emily Washington. In recent years, enterprise data across multiple industries has led to groundbreaking innovation: In the utility industry, energy companies build consumer portals for sharing energy-saving information, supporting the customer by cutting energy costs and protecting the environment. Financial institutions build modern applications and analyze client financial records […]
The Skills Gap Putting Organizations at Risk of CCPA Violations
Click to learn more about author Anne Hardy. It’s been a number months since the CCPA was enacted by the State of California. Still, companies are facing a whole new problem: a Data Management skills shortage. The CCPA gives individuals the right to a “verifiable consumer request.” This request requires enterprises to send the individual […]
Data Quality Drives a Safer Working Environment for Asset-Intensive Organizations
Click to learn more about author Jeff Kinard. Every organization strives to deliver high-quality data to support and inform better decisions. Ensuring robust data is essential as businesses seek to optimize operational efficiency. Recent research found that 95 percent of organizations see negative impacts resulting from poor Data Quality. When it comes to asset-intensive industries, […]