In the rapidly evolving landscape of data management, the concept of data governance has gained prominence as organizations strive to manage, protect, and leverage their data effectively. While developing and implementing a data governance program, it is important to consider how to measure the organization’s current state of data management and develop a plan for […]
Women in Data: Meet Liz Henderson, the Data Queen
The latest installment in our Q&A series with women leaders in data features Liz Henderson, aka 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 […]
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 […]
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 […]
What Is a Data Marketplace and Why Does It Matter?
The most successful organizations strive for excellence in their products, their processes, and especially in their workers. Excelling in a profession goes beyond simply meeting short-term and long-term goals to devising and applying creative, innovative solutions. To achieve this level of excellence, companies must provide their workers with the tools that let them convert their […]
4 Key Reasons to Build a Data Culture
Understanding the importance of data culture requires recognizing its pivotal role in shaping how organizations operate and innovate. A strong data culture instills a mindset where decisions are driven by data, fostering an environment that values evidence over intuition. This cultural shift enables organizations to harness the full potential of their data assets, leading to […]
The Future of Data Literacy
There was a time when only elite, tech-savvy staff in an organization understood and felt qualified to discuss data-enabled business decisions. These individuals often possessed advanced academic degrees in data science, data engineering, statistics, operations research, and other allied fields and did not speak the language of the ordinary business staff. As a result, there […]
Fundamentals of Data Preparation
Data is often called the raw material of the information age, and it does share characteristics with the resources that power other industries. For example, imagine trying to make a car out of unrefined iron ore. A lot of processing happens between the mine and the factory. Data is no different. In its “raw” form, […]
Large Language Models 101
Large language models (LLMs), built on the transformer architecture of deep learning, are designed to process very high volumes of textual data at a high speed. LLMs also have the power to generate new text and interact with human language innovatively. Training on different types of data, including articles, books, periodicals, and websites, LLMs develop […]
Data Product vs. Data as a Product (DaaP): Understanding the Difference
Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022. To address these data quality challenges, companies increasingly […]