Data Literacy Best Practices

The term “data literacy” refers to the ability to extract meaning from data. IDC, the global market intelligence expert, has predicted a “ten-fold increase in worldwide data” by 2025. It’s no wonder many data-driven organizations are in a race for an enterprise-wide data literacy initiative, with the vision of transforming their employees into data-literate workers. Global […]

Machine Learning Algorithms

Machine learning algorithms establish rules and processes that are used while processing a specific problem. These algorithms analyze data to predict the probable results of certain behaviors. As new data is received, these algorithms learn, optimizing and improving their responses using feedback from previous performances.  Combinations of machine learning algorithms can produce artificial intelligence (AI). Machine […]

Data Mesh Architecture Fundamentals

A data mesh architecture is a network design that allows data to be routed across multiple paths between network nodes. Whereas traditional network designs routed data along a single path, data mesh architecture enables data to be routed simultaneously across multiple paths between nodes.  This architecture provides several advantages over other architectures, such as a hub-and-spoke […]

Primary Data Modeling Techniques

Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]

How to Become a Data Steward

An essential role in any data-driven organization, a data steward is expected to manage and protect valuable data resources while ensuring that the integrity of the data remains intact. A steward must ensure that the data is useful to the company and meets its business objectives. Data stewards are also responsible for monitoring the data […]

Types of Analytics Used in Organizations

Data analytics in businesses help uncover competitive intelligence, actionable insights and trends. Different types of analytics enable businesses to gain an edge over their competitors. In the “data first” era, data-driven insights and decisions have become the key drivers of business performance. This post reviews the different types of data analytics routinely used in enterprises. […]

Five Essential Data Architecture Principles

Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]

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