Data Modeling is the “act” of creating a data model (physical, logical, conceptual, etc.) and includes defining and determining an organization’s data needs and goals. The act of Data Modeling defines not just data elements, but also the structures they form and the relationships between them. Developing a data model requires the data modelers to work […]
In Tough Economic Times, Enterprises Need to Optimize Their Cloud with Automation
Enterprises are facing unprecedented challenges in the wake of a potential economic downturn. As a result, leaders are making difficult decisions about budgets and staffing, focusing on what and who is essential to the success of the organization. With over 108,000 workers laid off in 2023, many are turning to the cloud as a cost-cutting solution. Navigating Economic […]
A Brief History of Semantics
As a word, “semantics” was first used by Michel Bréal, a French philologist (a language historian),in 1883. He studied how languages are organized, how languages change as time passes, and the connections within languages. Gen erally speaking, semantics is the study of language and its meaning. More specifically, semantics can be used to describe how […]
Data Quality Tools and Solutions in 2023
Data Quality tools can help to make data more trustworthy and more manageable. Inaccurate data promotes poor decision-making, missed opportunities, and lower profits. As use of the cloud continues to grow and become more complex, Data Quality has become a critical issue. Data Quality tools, when used effectively, resolve the issues that cause these problems. […]
Data Modeling Trends in 2023: A Refresh
Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]
Big Data, Big Responsibility
By now, we’ve probably all heard that “every company is a tech company” after the evolution of where and how we work in the previous few years. However, if every company is a tech company, what has become of what we traditionally think of as technology companies? Just as every company has become reliant on technology […]
Why Just Collecting More and More Data Is No Longer Productive
A decade back, when the big data trend began, the mantra was to collect more and more data — then glean insights from it to better understand consumer behavior, market trends, and demand. Even today, big data is key to better decision-making and operational excellence; however, two phenomena challenge the notion of “collect as much […]
Data Analytics Tools: Features and Functions
Today’s business environment is inherently data-driven. Businesses need data to stay competitive and grow their market presence – data is regarded as the “currency” of the modern world and the key to the future. Data analytics, in turn, is the process of discovering trends and patterns in large amounts of data to make intelligent decisions. It […]
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 […]
Maximizing ERP Systems with AI and Wide Data
In the current business landscape, traditional enterprises are looking for agile technologies to accelerate growth and digital transformation. Many of these organizations have petabytes of data stored in enterprise resource planning (ERP) systems and while ERP platforms can provide an overview of “what happened,” many organizations want to know “what will happen” or “what’s the persona of my user?” or […]