As the use of generative AI (GenAI) grows exponentially, developers have turned their attention to improving the technology. According to EMARKETER, nearly 117 million people in the U.S. are expected to use GenAI in 2025, a 1,400% increase over just 7.8 million users in 2022. More demand means more scrutiny and increased demand for higher-quality products, and […]
Book of the Month: Insights from “Humanizing Data Strategy”
Welcome to our new series, “Book of the Month.” In this series, we will explore new books in the data management space, highlighting how thought leaders are driving innovation and shaping the future. This month, we’re grabbing a cup of coffee, settling into our favorite reading nook, and diving into “Humanizing Data Strategy: Leading Data […]
How to Win the War Against Bad Master Data
Master data lays the foundation for your supplier and customer relationships. It identifies who you are doing business with, how you will do business with them, and how you will pay them or vice versa – not to mention it can prevent fraud, fines, and errors. However, teams often fail to reap the full benefits […]
Avoiding the Pitfalls: Don’t Rush Chatbot Deployment
AI has rapidly emerged as a status symbol for companies worldwide because it signifies innovation and a commitment to staying ahead of technological trends. This has prompted the critical question, “Who can implement it first?” by businesses eager to position themselves as leaders in the field and distinguish themselves from competitors lagging in the AI […]
Cloud Transition for Startups: Overcoming Data Management Challenges and Best Practices
For startups, transitioning to the cloud from on-prem is more than a technical upgrade – it’s a strategic pivot toward greater agility, innovation, and market responsiveness. While the cloud promises unparalleled scalability and flexibility, navigating the transition can be complex. Here’s a straightforward guide to overcoming key challenges and making the most of cloud computing. Streamlining […]
5 Technologies You Need to Protect Data Privacy
Data privacy is the practice of handling personal information with care and respect, ensuring it is only accessed, processed, and stored in ways that align with legal requirements and individual consent. It protects personal data from unauthorized access and misuse. This includes securing data both at rest and in transit, applying best practices for encryption, […]
Embracing Data and Emerging Technologies for Quality Management Excellence
In today’s rapidly evolving business landscape, the role of quality management (QM) is undergoing a significant transformation. No longer just a compliance checkbox, QM is emerging as a strategic asset that can drive continuous improvement and operational excellence. This shift is largely propelled by the adoption of intelligent technologies and the strategic use of data, […]
ETL Automation Best Practices
In data management, ETL processes help transform raw data into meaningful insights. As organizations scale, manual ETL processes become inefficient and error-prone, making ETL automation not just a convenience but a necessity. Here, we explore best practices for ETL automation to ensure efficiency, accuracy, and scalability. We also mention some of the best ETL tools […]
4 Ways Embedded BI Improves Data Governance
We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom. A proper data […]
Mind the Gap: Data Quality Is Not “Fit for Purpose”
Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the rise of the data product. This month, we’ll look at data quality vs. data fitness. Everybody likes a pithy definition. Marketers describe […]