The latest installment in our Q&A series with women leaders in data features Liz Henderson, the Data Queen. (Read our previous Q&A here.) Liz Henderson, also known as the Data Queen, has held many roles over the past two decades: head of data management, data governance director, chief data and analytics officer, business mentor, board advisor, […]
Quantifying the Value of Data to Business Leaders
When you hear the phrase “data monetization,” you might think of selling data to a third party – along with the many ethical and privacy issues that go with it. While this practice plays a significant role in our modern economy, there is another type of data monetization that receives less buzz but is equally […]
Mind the Gap: Migration Projects – Gaining Traction or Spinning Your Wheels
Hardware and software migration projects are like crack for IT executives. Especially when the number on the new invoice is smaller than the number on the old invoice. Even better when the products can be folded into a previously negotiated enterprise agreement and made to appear free. Add to that an audience with the vendor […]
What Is Data Stewardship?
Data stewardship (DS) is the practice of overseeing an organization’s data assets to ensure they are accessible, reliable, and secure throughout their lifecycles. It is a framework of roles, responsibilities, and processes designed to support the organizational strategy through a data governance (DG) program. At its core, data stewardship comprises data stewards – formalized roles that take responsibility for their […]
Webinar: Harnessing the Power of Data Intelligence – Transforming Data into Business Value
Download the slides here>> This webinar is sponsored by About the Webinar In an era where data is the lifeblood of business innovation and growth, managing and understanding this critical asset has become paramount. However, the rapidly changing data landscape created a pressing need to grow and expand beyond traditional data governance to something more […]
Poor Data Fuels Interdepartmental Conflict and Organizational Inefficiency – Here’s What to Do
In a recent conversation with one of our customers, my team uncovered a troubling reality: Poor data quality wasn’t just impacting their bottom line but also causing friction between departments. In one instance, they explained how their marketing team could not run a campaign on time because they had to wait for the IT team […]
Webinar: Launching a Data Quality Program
Download the slides here>> About the Webinar In today’s data-driven world, the quality of data is paramount to the success of any organization. High-quality data empowers accurate decision-making, effective business strategies, and operational efficiency. On the flip side, poor data quality can result in inaccurate reporting, misguided decisions, and increased costs. As organizations increasingly rely […]
Metadata Management: The Critical Foundation for Data Leverage
We’ve all been there – searching for hours through a tangled mess of files, databases, and drives, trying to find a simple sales report from last quarter. The data exists somewhere, but good luck with trying to use it. This kind of data chaos throttles productivity every day across organizations. Valuable insights remain buried and […]
Getting Started with Data Quality
Imagine burning three trillion U.S. dollars. Businesses do this virtually every year because of poor data quality (DQ). In a data-driven age, organizations cannot afford to waste this time and money. Instead, they need to focus on achieving good data quality through a comprehensive program dedicated to business needs. But how does a company implement an effective […]
Best Practices for Getting Company Data Ecosystems AI-Ready
Organizations invest considerable resources into collecting customer data to build digital footprints and profiles for enhancing the customer experience (CX). Previous technologies and toolsets limited businesses to simple, structured data, which included mainly transactional information as well as customer and call center conversations. Then, they would use a solution like sentiment analysis to determine if […]