The great migration from the data center to the cloud began with the creation of Amazon Web Services in 2006. By 2021, 96% of companies had made the cloud part of their Data Management plan, leveraging cloud-based services to support their digital infrastructure. The cloud promised greater mobility, flexibility, scalability, and security, all of which businesses wanted. As a […]
What Are Data Products and Why Do They Matter?
Data products are software in the form of specialty tools and apps that are designed to support data used as a service. They may be as simple and straightforward as a program that converts a dataset into a visualization, or as complex as a machine learning system based on large language models (LLM), such as ChatGPT. […]
Data Management Trends in 2024
The trends in Data Management for 2024 can be expected to range from the impact of the EU’s Digital Services Act (DSA) package to new variations of ChatGPT focused on managing data. Data Management (DM) deals with the collection, processing, and storage of data, as well as the laws and regulations that protect people’s rights. Managing an […]
The Silver Bullet Myth: Debunking One-Size-Fits-All Solutions in Data Governance
Data Governance plays a crucial role in modern business, yet the approach to it is often mired in unhelpful misconceptions. While 61% of leaders indicate a desire to optimize Data Governance processes, only 42% think that they are on track to meet their goals. This disparity highlights a significant challenge: The need for effective strategies has been […]
Proper Data Management Drives Business Success
Data Management used to be an enhancement to business operations. But as the datasphere continues to grow exponentially, it’s now a critical factor to business success. This is inclusive of data visibility, access controls, classification, compliance, and backups. Successful business leaders will recognize that the ability to manage their company’s data effectively has substantial financial […]
2023 DATAVERSITY Top 20
As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data […]
Supercharging Data Management in the Climate-Risk Sector
The insurance industry and the broader risk management sector have long contended with Data Management issues. Updating and integrating legacy systems while ensuring quality across the board has proved difficult for most people in these fields. For those working in the climate solutions space, Data Management constitutes a challenge because of the diverse and dynamic […]
What Is a Data Strategy? Components and Uses
A Data Strategy is a reliable touchstone created by an organization for businesspeople to apply when confronting challenges in executing data activities to meet or support a business strategy. It offers direction when generating, updating, storing, and consuming data to better perform these tasks. Managers use a Data Strategy to plan, assess, and synchronize data […]
Don’t Dawdle, Don’t Dabble – Scale AI, Now
Most enterprises suffer from spotty deployment and management of artificial intelligence (AI) initiatives. As different parts of the organization experiment with AI in silos, they waste both resources and the opportunity to learn from the experience of others. When my company commissioned an independent third-party survey of more than 2,500 AI practitioners across industries and geographies, […]
Master Data Management Tools
Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business. This includes semi-permanent information about products, locations, employees, customers, etc. For example, if a specific customer purchases several products […]