Data has always been a driving factor for organizations. Over the past decade, the value of data has increased exponentially. Organizations across all categories and sizes (MNCs and SMEs) have started making critical business decisions based on insights gathered from collected data. The data, most commonly referred to as historical data, is collected over sufficient […]
4 Reasons Businesses Are Implementing Data Management Systems
Enterprises today face the complex challenge of effectively managing an ever-growing, diverse, and rapidly changing trove of data. This reality of handling vast and varied data sets is pivotal for businesses aiming to stay competitive and informed. The strategic management of data is crucial in shaping business success. That’s why implementing innovative data management systems […]
EDM Council Introduces the Data Excellence Program
According to a new press release, the EDM Council, a global trade association specializing in data management and advanced analytics, has launched the Data Excellence Program in response to the increasing demand for standardized measurement and recognition of data management excellence within organizations. The program aims to promote a culture of continuous improvement and excellence […]
The Cool Kids Corner: CLEAR Communication
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as the data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about communication. Communication is the cornerstone of socializing anything you do with data, whether that’s […]
Data’s Chess Game: Strategic Moves in Data Modeling for Competitive Advantage
Having been an avid chess player for years, I find that my perspective on everything I do in life often mirrors the strategic thinking inherent in the game. Therefore, it was just a matter of time before this chess-inspired outlook permeated my professional life as a data practitioner. In both chess and data modeling, the […]
Organizations Are Underutilizing Their Data – Here’s Why (and How to Fix It)
The mainstreaming of predictive analytics and generative AI has brought Data Management into focus. Artificial Intelligence both runs on and produces a vast amount of data that must be effectively managed, governed, and analyzed. However, a recent survey of 1,000 North American executives revealed that organizations aren’t quite up for the challenge.
Many companies are not prepared to implement AI or other technologies into their existing IT infrastructure and workforce in a timely manner…
IoT Data Governance: Taming the Deluge in Connected Environments
The Internet of Things (IoT) has rapidly redefined many aspects of our lives, permeating everywhere from our jobs to our homes and every space in between. However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […]
Unstructured Data Management Predictions for 2024
As unstructured data continues to grow exponentially, it is creating an inflection point for IT leaders. The average enterprise IT organization is managing petabytes of file and object data. This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […]
Life Sciences Need Scalable, Adaptable, and Flexible Data Management Systems
The life sciences industry has witnessed a surge in Data Management solution investments over the past few years. Despite these expenditures, however, these solutions all too often fail to keep pace with the latest technological advancements, leaving organizations struggling to address evolving pain points and integrate them with existing investments. Past Data Management systems, often […]
Data Architecture Trends in 2024
Data Architecture, the corporate infrastructure connecting business and data strategies, will face competing priorities in 2024. On the one hand, nearly half of organizations will gravitate toward modernizing their data architectures to increase operational real-time analytics and enable AI and ML (machine learning) capabilities. Simultaneously, with concerns about AI impacts, about 80% will prioritize security and Data Governance in […]