Those who use your software found it, love it, and want to use it. Unfortunately, some people use your software without paying for it. Software piracy – the use of software that’s been configured or tampered with to remove or bypass license enforcement – happens. So does overuse (use of software exceeding the limits of the […]
What Is Data Observability?
Data observability is the practice of monitoring and analyzing the health of an organization’s data and data systems. Essentially, it gives you a 360o overview of what’s happening with your data at any given point in time. This practice is beneficial, as it provides all stakeholders with an in-depth insight into how their data is collected, […]
Managing Technology Assets: 10 Best Practices
The effects of the pandemic have popularized a unique work style that places a higher value on providing employees with the options of either a hybrid or a fully remote work environment for many employees. In fact, 81% of people surveyed believe hybrid work will be the foremost working model by 2024, with 56% of […]
Writing a Data Management Plan
A Data Management plan (DMP) is normally a one- or two-page summary, outlining how data will be handled during a research project, and after it has been completed. The goal of a Data Management plan is to consider the many aspects of Data Management (such as data preservation, metadata generation, and analysis) before the project begins. It […]
Do You Have “Okta” for Your Data?
SaaS platforms exploded in the last few years for excellent reasons: scalability, cost, accessibility, and flexibility. But like any explosion, it left some messes in its wake. For IT and security teams, in particular, the increasing number of solutions in use created a seemingly never-ending need to add users, remove users, or change permissions every […]
The Machine Economy Is Here – The Digital Transformation Era Is Over
The age of digital transformation is over. It’s too late to be debating whether you should digitally transform your organization. The world has already digitally transformed. Everything is already digital-first, totally connected, in the cloud, and powered by data, everywhere, all the time. Digital-first organizations won. Everyone else missed opportunities to innovate, made costly mistakes, and failed […]
The Trend Toward Emphasizing Data Minimization
With GDPR being the “shot heard ’round the world,” the digital industry, the regulators, and the courts have developed and readjusted the way in which we need to think about this revolutionary body of law. Through this experience, I’ve had a few flashback analogies to Y2K: Leading up to the event, it was a period […]
What Is Synthetic Data?
Synthetic data refers to any dataset that is generated artificially. Most datasets are generated based on research, use cases, or other activity. In the case of synthetically generated data, datasets are instead developed in a way that replicates real datasets, so that they can act as supporting information during model training or testing processes. Gartner predicts […]
3 Data Management Tips to Help Plan for the Day After Tomorrow
Economic disruptions are forcing organizations to rethink the way they plan. Gone are the days of Excel and manual forecasting because much like the dystopian film “The Day After Tomorrow,” leaders have no idea what the next day will hold. Disruptions, whether geopolitical, pandemic, legislative, or workforce-related, never seem to end. While we may wish […]
Five Essential Data Architecture Principles
Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]