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Elements of a Modern Data Warehouse

Businesses are generating vast amounts of information every second. Traditional data warehouses, which were once considered the gold standard for handling and analyzing large datasets, are struggling to keep up with the rapid pace of data growth and evolving analytics requirements. This has given rise to the concept of modern data warehouse, which provides a […]

What Does a Data Scientist Do?

The multifaceted role of a data scientist goes far beyond crunching numbers and analyzing datasets. So, what does a data scientist do? In today’s data-driven world, these professionals are required to possess a diverse range of skills and knowledge to truly excel in their field. While technical expertise in statistics, programming languages, and machine learning […]

Critical Data Elements Explained

The process of identifying critical data elements (CDEs) is a fairly new best practice in Data Governance programs. Software does not yet support the identification process. CDEs may be described as the specific data needed for doing business (requiring high-quality data) or the specific data that is extremely sensitive (requiring good security). These particular data […]

Fundamentals of Data Access Management

Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes data your company’s most valuable non-human asset. As the revenue potential of data increases, the job of protecting that data becomes more important and more challenging. […]

Developing an Effective AI Strategy

The process of building a successful AI strategy has changed. In November of 2022, the evolution of artificial intelligence took a dramatic leap forward: OpenAI developed a more evolved, smarter chatbot called ChatGPT. By combining generative AI with large language models and highly functional algorithms, the company developed a chatbot supporting a new level of […]

Data Governance vs. Data Management

When managers and workers discuss Data Governance (DG), a business program that supports harmonized data activities, vs. Data Management (DM), a comprehensive collection of practices, concepts, and processes dedicated to leveraging data assets, they often use the terms interchangeably. Sometimes, both words point to the same concepts, and these conversations remain productive. At other times, switching between […]

Key-Value Databases Demystified

In 1966, a DEC PDP-7 computer was delivered to the Massachusetts General Hospital without any programming. The hospital had invested in a computer but had no way to run it. At this time, there was very little in the way of software options, operating systems, or database support. The hospital did, however, have access to […]

Fundamentals of Predictive Analytics

Predictive analytics (PA) is a subfield of data analytics and business intelligence that deals with an in-depth analysis of past events and forecasts of future events. This specialized branch of data analytics combines the power of data mining, data modeling, artificial intelligence (AI), and machine learning (ML) to make probabilistic predictions of future events. Predictive analytics relies […]

Data Visualization Best Practices

Good data visualizations boost business data literacy by presenting well-thought-out dashboards or reports that show data assets for quicker and more straightforward consumption. Following data visualization best practices leads to positive outcomes for organizations. These benefits include reducing the time and costs of questions data consumers ask by answering them up front in the data visualizations. Additionally, good visualizations increase consistency […]