As efforts to simplify IT infrastructure through automation are ongoing, the action to pinpoint where complexity resides is key. Data complexity not only complicates the user experience but also wreaks havoc in the backend for administrators and IT decision-makers. As the world of data has grown exponentially and transcended the borders of enterprises, the management of data […]
2022: Becoming the Year of Containers, Kubernetes, and SDP Security
A growing number of companies are continuing to launch significant digital transformation (DX) projects in 2022, and rightly so, since this can enhance their IT and business capabilities while resulting in cost savings. This has led to a large increase in the use of containers. The StackRox State of Container and Kubernetes Security Report—Winter 2020 flagged […]
Empower Your Third Line of Defense for Effective Data Governance
Data Governance practitioners must incorporate all aspects that bind data to the organization. Internal audit, referred to as the third line of defense against risk, should actually be top of mind for implementing effective governance programs. The “Three Lines of Defense” model is an industry-recognized approach to enterprise risk management. The ultimate goal is to […]
Evaluating Data Lakes vs. Data Warehouses
While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences. This article will highlight the differences between each and how […]
3 Vital Concerns for Companies Running Hybrid-Cloud Environments
The benefits of the cloud – reduced capital expenditures, greater IT flexibility, business efficiency, competitive advantage – are compelling. So much so that, not so long ago, people were predicting organizations would move their entire computing infrastructure to the cloud, and nothing would be left on-premises. It, of course, never happened. Instead, organizations have embraced […]
What Data Practitioners Need to Know (and Do) About Common Language
“Unless and until all members of a team have a common understanding of the problem, attempts to solve the problem are just so much wasted energy.” –Gerald M. Weinberg [1] In March 2019, one of us (Thomas C. Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]
Small and Medium-Sized Businesses Need Self-Serve Advanced Analytics
If your small or medium-sized business (SMB) is looking for ways to improve forecasting, problem-solving, and market opportunities, it must embrace self-service advanced analytics that allow business users to leverage their role, their knowledge of their business function, and their collaborative initiatives to gather, analyze, and share information and improve business results. According to Gartner, natural […]
How to Prepare Data for AI and ML
Regardless of how clever the machine or how brilliant the algorithm, the success of intelligence-based solutions is intrinsically tied to the quality of the data that goes in. That’s why, aside from its people, data is the most important thing an organization owns. Data must be the first stop on the journey to implementing artificial […]
Unlocking the Value of Hidden, Unstructured Data
Data is the fuel of the fourth industrial revolution. Data is the lifeblood of the enterprise. Data powers the information age. We’ve heard these statements so many times that they’ve almost lost their meaning. But what if I were to tell you that you are only using 10 to 20% of this fuel to power […]
How Data Automation Is Reshaping Pharma Regulatory Publishing
Pharmaceutical regulators are facing ever-evolving, complex, and stringent requirements for the regulatory approval of new and existing products on the market. What’s more, as technology changes our ability to capture data from more sources, the volume of data in the life sciences sphere is growing exponentially, creating a challenging data analytics paradigm. The key is how to […]