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What Makes a Great Data Scientist in 2023?

A great data scientist combines expert knowledge of various interrelated academic disciplines to help global enterprises make agile decisions for improved business performance. Data scientists use statistics, mathematics, data mining, and computer science to analyze data sets for observable trends and patterns. They are also experts in data collection and storage methods. The Bureau of Labor Statistics had predicted […]

Data Management Trends in 2023

In a world driven by data, companies that are successful at extracting actionable insights through Data Management will be able to innovate more quickly, develop better strategies, and govern change more efficiently.  Data analytics, which has been completely overtaken by technologies like artificial intelligence (AI) and machine learning (ML), has emerged as a critical game […]

7 Common Data Quality Problems

Having Data Quality problems is a common – and costly – issue. According to Gartner, poor-quality data costs organizations an average of $12.9 million annually. Data Quality uses factors such as accuracy, consistency, and completeness in determining the value of the data. High-quality data can be trusted, while low-quality data is inaccurate, inconsistent, or incomplete. In […]

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 […]

NoSQL Databases: Advantages and Disadvantages

NoSQL databases (aka non-relational databases) come with both advantages and disadvantages. On the plus side, they are more scalable than traditional relational databases and can store a variety of formats. Additionally, they are easy to use, and their flexibility can speed up development, especially in a cloud computing environment. NoSQL databases were developed as a […]

How to Democratize Data Science

Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]

Data Architecture 101

The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]

Developing a Digital Transformation Roadmap

Digital transformation is about more than just digital technologies. It is also about organizations adopting new cultures, structures, and processes that will align with IT architecture, leading to comprehensive digital solutions. A digital transformation roadmap is defined as a process illustrating how an organization can adopt digital technologies to meet business objectives. This roadmap includes a series of steps […]

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