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May 2 EEDL Webinar: Connecting Data Literacy to Individual Performance

DATE: May 2, 2024 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Abstract concepts are much harder to grasp than issues that affect us directly. When we present data literacy as a series of terms and functions that…

Latest Blogs by Industry Experts

Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams

Read more about author Tejaswi Agarwal. In the real-time software world, 24x7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it for revenue, customer experience, and competitive advantage. Data-driven teams…

Good Data Quality Is the Secret to Successful GenAI Implementation

Read more about author Stephany Lapierre. You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic utility of these technologies into question. Therefore, addressing organizational data…

Why Selecting the Appropriate Data Governance Operating Model Is Crucial

Read more about author Tejasvi Addagada. To embark on data governance in an enterprise that spans divisions and diverse stakeholders, a well-defined operating model plays a vital role in achieving expected business benefits. Data mesh is a new concept that encourages data democratization within an organization in a decentralized way by promoting data products. Unlike the vintage architecture, which is centralized, data mesh enables users across the enterprise to access any data,…

Data-Driven Defense: AI as the New Frontier in Business Security

Read more about author Prasad Sabbineni. Major business setbacks due to risk management failures happen every year. They are also some of the costliest, adding up to millions of dollars in regulatory fines, lawsuits, payouts, and lost brand value. Leaders want to avoid these types of issues and rely on sound internal data management to mitigate risk and maintain confidence and trust with their stakeholders. Yet according to Thomson Reuters…

Recent Articles

The Importance of Women in Data Management

metamorworks / Shutterstock Despite the increasing participation of women in Data Management (DM) roles, women still confront gender-related challenges throughout their careers. One significant challenge is the persistent gender bias…

Master Data vs. Reference Data

yelosmiley / Shutterstock The terms “master data” and “reference data” can be confused fairly easily. Both provide data that changes only occasionally over time and provide data that is designed…

Types of Data Integrity

Jirapong Manustrong / Shutterstock Over time, different types of data integrity systems and methods for promoting data integrity have been developed. Data integrity emphasizes confirming the data remains unchanged and…

Women in Data: Meet Dr. Christina Sandema-Sombe

The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. (Read our previous Q&A here.)  Dr. Christina Sandema-Sombe first…

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