As more organizations become data-driven, the demand for capable data professionals to support and advance their initiatives has never been greater. Employment in computer and IT occupations is expected to grow 15% from 2021 to 2031 – significantly faster than the average for all occupations. What’s more, data-centric roles rank among the best jobs for earning potential, job […]
Six Core Data Management Challenges
With so many different ways that data can be created and collected within an enterprise, it’s no surprise that Data Management challenges abound. Data usually comes from various sources, some of which cannot be trusted to be safe and compliant with regulatory standards. It can be gathered from large numbers of sources such as smart […]
Data Governance Trends and Dreams
Four years ago, in a fit of naivete, I decided to write a book about Data Governance. I wasn’t naïve about Data Governance – I was naïve about what that book would bring about. But, first, some background. After I left my corporate gig, I did a state-of-the-state in the data industry to get a broader understanding […]
Server Management Best Practices in Today’s Data-Driven Organizations
Servers constitute the pillar of companies, especially those that depend on IT services. Even though many businesses have long since moved into cloud technology for their server needs, a large portion of them still use in-house servers to fulfill a wide array of computing needs. Servers are a fundamental component of the digital age. After all, they […]
Why Data Governance Is Essential in the Current Business Landscape
Imagine you and a bunch of your colleagues are attending a networking event. You’ve been assigned three booths spread out in different locations across the arena. You and one of your colleagues take booth 1, and your other colleagues split themselves between booths 2 and 3. The event is flooded with professionals from your field, […]
Data Management Is Dead – Data Empowerment Has Emerged
In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment. In this article, I follow up by laying out the problems with traditional Data Management and why data empowerment is now […]
Data Privacy and Security Concerns for Multi-Cloud Organizations
The world is going multi-cloud. Enterprises are leveraging the benefits of multi-cloud services to improve operational efficiency, reduce costs, and drive faster innovation. What does this mean for data privacy? With data residing in multiple locations, it’s more important than ever for organizations to understand their data privacy risks and ensure that any sensitive data is protected. In […]
How AI Is Driving Data Speeds in Data Centers
Developments in artificial intelligence (AI) technologies have opened up major opportunities and improvements for data processing and analytics. Unfazed and even spurred by the COVID-19 pandemic, complex AI systems saw explosive demand to enable advances in data management, health care, knowledge graphs, and data science. This has led organizations to increase their AI and machine learning budgets by 83% since […]
The Key to Health Equity? It All Lies in the Data
Data plays a critical role in making health care more equitable. Hospitals and health systems have been collecting data for years, but it’s only recently that this data has become accessible and usable in a way that can truly change health care for the better. Though certainly not a new initiative, health equity is under […]
7 Key Features of Data Management Systems
Data Management is the practice of gathering, organizing, securing, and storing data for an organization so it can be analyzed for business decisions. Data Management helps minimize potential errors by setting processes and policies around its usage and building confidence in the data used for decision-making throughout the company. Businesses implement Data Management systems to ensure that data […]