IoT data management includes the practices, technologies, and policies involved in managing data generated by IoT devices. Management tasks include the collection, storage, analysis, and sharing of data across various platforms and systems. The aim is to ensure that data from IoT ecosystems is accurate, accessible, and securely integrated into business processes for informed decision-making.  ..read more

In today’s fast-paced business environment, data is often referred to as the lifeblood of an organization. Just as the human body requires vitamins to function optimally, businesses need effective data governance to ensure their operations run smoothly and efficiently. However, unlike a one-size-fits-all vitamin supplement, data governance needs to be tailored to fit seamlessly into ..read more

In today’s data-driven world, businesses generate vast amounts of data. Nearly every operational process involves data in some way, shape, or form — from internal reporting and emails to transactions with customers. However, while data can be a powerful tool, providing invaluable insights to organizations, it can also present numerous challenges if it is not ..read more

If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. They are interesting to an extent, but mostly, they feel like a late-night re-run and remind me that data work is hard.  So, what is a metrics store? Most of the young vendors trying to create this category will tell you that ..read more

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of data management to someone. The Story While voting in ..read more

As the business intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs. In this article, we will discuss the benefits of implementing BI tools within your organization.  There are many benefits of business intelligence, and ..read more

Terms like artificial intelligence (AI) and augmented intelligence are often used interchangeably. However, they represent fundamentally different approaches to utilizing technology, especially when it comes to data governance. Understanding these differences is crucial for organizations looking to implement non-invasive and effective data governance frameworks. This article explores the distinctions between artificial intelligence and augmented intelligence ..read more

Once reliant on the limitations of physical hardware, businesses today have the ability to access and expand a virtual pool of cloud-based network services as needed. Before cloud computing services, business leaders would need to build their own data centers and servers to achieve the same level of operational capability, Now, as e-commerce continues to grow and digitalization ..read more

In my work with the EDM Council’s Data Management Capability Assessment Model (DCAM) 3.0 development group, we are adding a capability that has remained under the radar in our industry, that is, the responsibility of the Data Management Program to determine concept and knowledge gaps within its staff resources. The organization should then plan, organize ..read more

Technics Publications has started publishing a line of Data-Driven AI books, and one of the first books in this series is “AI Governance” by Dr. Darryl J Carlton. The goal of the book in one sentence is to enable the reader to gain the knowledge and tools to effectively govern and oversee the use of ..read more