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Emily Cleland

Emily Cleland is a Marketing Coordinator at Experian Data Quality. She focuses on efforts to effectively engage with Experian Data Quality’s audience, including events and social media. She received her Bachelor’s Degree in Marketing from Babson College, and continues to be a nerd about all things data. Outside of work you will probably find her enthralled in a book, binge watching her new Netflix obsession, or drinking obscene amounts of coffee. 

How to justify and support your data governance initiative

We find a growing number of businesses are either looking to start or optimize data governance programs to better control data, but at Data Governance Winter Conference, we learned that there are often two major roadblocks to implementing or optimizing your data governance program.  Explore how you can navigate these challenges. 

Four reasons to invest in data quality management

Across nearly every industry, data has become a key driver for critical business initiatives. At the same time, data will only add value to your business when it is trustworthy and actionable. That means there should be a robust and reliable data quality management strategy in place that aligns with the needs of your entire organization. The best way to justify the need for investing in a data quality management strategy is to identify the areas in which it will benefit the business as a whole. Here are the top four reasons to invest in data quality management. 

The value of data governance and compliance

Data governance and compliance: it’s safe to say the two go hand in hand. Without proper data governance, how can you be confident your organization is adhering to regulations? On the other hand, when organizations are compliant, you can bet there is an effective data governance strategy in place. If you’re asking yourself, “how can I get started,” we are here to help! First let’s take a look at the terms data governance and compliance, and see how they are related. 

Data management 101

Despite the fact that the importance of data is widely recognized among company executives, there is a gap between this recognition and the number of organizations that are leveraging data to empower business decisions. To close this gap, organizations are investing in data management practices to establish trust and control of their data.

The importance of modern data management

In today’s data-driven world, you will hear buzzwords thrown around like MDM, big data, machine learning, data lakes, etc. But then you may think, how exactly do these concepts apply to my organization and my specific role? How can I deploy the most valuable data management processes? To answer these questions, it is important to understand what modern data management looks like at a high level, and then how are businesses are using modern data management to refine business processes and enable best practices. Understanding the concept of modern data management is the first step in deciding how to enable it in your organization.

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