Click to learn more about author Gaurav Belani. There’s no denying that successfully navigating an enterprise through a transitional period is no easy task. As it turns out, most people are inherently fearful of change for one reason or another. In both our personal and professional lives, we seem to resist the new in an […]
A Cybersecurity-First Strategy Requires More Than Employee Training
October is Cybersecurity Awareness Month! All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. Click to learn more about author Danny Lopez. In many organizations, training is viewed as one of the most efficient, cost-effective ways to educate employees on cybersecurity. While it’s more affordable than technology […]
The Connection Between Good Data Management and Enterprise Agility
Click to learn more about author Russ Ernst. The word “agile” is defined in one dictionary as “quick and well-coordinated in movement; lithe.” During the last two years, however, the word has taken on an entirely different meaning for companies navigating the complexities of a pandemic. As the realities of a highly contagious virus set in and hundreds of thousands […]
5 Common Data Governance Challenges (and How to Overcome Them)
Click to learn more about author Nahla Davies. It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […]
Implementing Data Strategy Across the Data Lifecycle
Organizations wishing to implement a Data Strategy—a set of decisions that form a pattern, charting a high-level course of action—face significant challenges in unifying their message across the data lifecycle. Only 30% of companies have a clear organizational Data Strategy, leaving their different departments to figure out how to manage company data assets. Moreover, two […]
Data Management vs. Data Strategy: A Framework for Business Success
In a DATAVERSITY® interview, Donna Burbank, the Managing Director at Global Data Strategy, said: “The difference between Data Management vs. Data Strategy is almost in the definition of the two words. Think about your money. If you’re just managing it, you’re sort of just getting by, but if you’re thinking strategically, you’re really thinking of […]
Cloud Data Security for Today’s Remote Work Environment
October is Cybersecurity Awareness Month! All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. Click to learn more about author Matt Shealy. As organizations continue to adopt remote work, more opportunities are created for both companies and employees. However, the shift to remote work also creates additional […]
Industry-Tailored Reskilling Accelerates Data Maturity
Click to learn more about author Merav Yuravlivker. Companies are increasingly looking for ways to meet the demands of our data-driven world, and developing a data-mature organization is key to success across all areas of a business. In today’s environment, Data Literacy is no longer reserved solely for those who work in IT. In all departments, including marketing, human resources, and business development, employees across an organization must […]
Working with Metadata Management Frameworks
Metadata Management will grow into 2021 and beyond. According to a DATAVERSITY® Trends in Data Management Report, 84 percent of business respondents had a Metadata Management initiative in place or had plans for one. MarketWatch, a consulting firm, expects massive growth by 2026. How much success a company will have with Metadata Management will depend […]
Safeguarding Data Assets: How to Prevent ML Vendors from Profiting from Your Data
Click to learn more about author Ryan Welsh. Almost any vendor doing machine learning (ML) is appropriating valued enterprise data for its own advantage; however, this is at the enterprise customer’s expense. Regardless of whether it’s a platform or an application using this technology, ML companies of all sizes want your data and are essentially using it […]