In today’s data-driven business environment, organizations demand reliable and stable business insights to make informed decisions. To cater to this demand, over 60% of companies turn to data warehouses (DWs) to store, manage, and analyze their data efficiently. The success of these DW implementations depends on dimensional data modeling – an analytical approach that organizes and categorizes data for efficient analysis and […]
Data Literacy 101
From social media to online shopping, data is generated and collected at an unprecedented rate. In the current data-powered society, it is crucial to be able to understand and interpret all types of data. Data literacy – the ability to read, analyze, and communicate with data – is crucial to use the power of data. […]
Data Warehouse vs. Data Lakehouse
The phrase “data warehouse vs. data lakehouse” offers an exciting topic for ongoing debate in the global data management world. While businesses have relied on traditional data warehouses for storing structured and semi-structured data for years, the more recent technological solution of the data lakehouse is growing in importance because of its unique ability to provide structure to raw data. […]
Machine Learning Engineer vs. Data Scientist
After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into their business processes to make their operations more powerful, more efficient, and more profitable. A data scientist and machine learning engineer are two of the most exciting and cutting-edge professions in technology. While both […]
Data Governance and AI Governance: Where Do They Intersect?
Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University AI Index Report found that about 78% of companies were using AI in at least one business unit or function in 2024, up from 55% the previous year. To get the best results, organizations need to connect AI and its […]
The Importance of Women in Data Management
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 prevalent within the industry. According to the study USA Diversity in Data Report 2022-2023, only 26% of DM and analytics positions are held by women. Women often face stereotypes […]
Data Integrity: What It Is and Why It Matters
The term “garbage in, garbage out,” or GIGO, dates back to the earliest days of commercial computing in the mid-20th century. Yet the concept was present more than 100 years earlier at the very dawn of computing. When Charles Babbage first described his difference engine, a member of Parliament asked him whether the machine could generate […]
Fundamentals of Data Access Management
Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes data your company’s most valuable non-human asset. As the revenue potential of data increases, the job of protecting that data becomes more important and more challenging. […]
A Brief History of Data Stewardship
In the modern digital economy, data is a critical asset that, when properly managed, can drive innovation, insights, and competitive advantage. However, for organizations to leverage data effectively, they must maintain trust in its quality, reliability, and governance/management. Central to this effort is the concept of data stewardship. While it may appear to be a relatively […]
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 […]