Data Articles | Data Science, Business Intelligence, & More

Data Resource Anomalies

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by Michael Brackett An anomaly is a deviation from the common rule; an irregularity; something different, abnormal, peculiar, or not easily classified.  A data resource anomaly is a deviation of an organization’s data resource from the common rule of being based on the organization’s perception of the business world and how it chooses to operate…

Taming Data Integration

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by Jelani Harper Successfully integrating disparate data sources and forms of data in a way that provides a unified view of information relevant to a particular application requires several different technologies including: Semantics: By reducing data to its simplest form with semantic technology, data can be culled, aggregated and compared with one another to determine…

Data Quality as a Service: Success at Scale

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by Jennifer Zaino Many IT leaders aim at providing Data Quality as a Service (DQaaS) to business users, but few succeed at realizing that goal at scale. It is possible, though, if IT execs standardize their approach to the challenge. Carl Gerber, Head of Enterprise Data Transformation at Teachers Insurance and Annuities Association of America…

Data Replication: The Crux of Data Management

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by Jelani Harper There are numerous daily developments in the data landscape involving new technologies and applications impacting the Internet of Things, Big Data, the consumerization of IT, and the burgeoning empowerment of the business. Despite so much going on, the vast majority of interest regarding data and its influence throughout contemporary society is easily…

Data Management as a Science

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by Jelani Harper The overall purpose of an organization’s Data Management strategy is sure to vary according to industry and organizational objectives, business requirements and operations procedures. Despite these variables, there is a common goal for virtually every Data Management initiative regardless of industry, business focus or even enterprise size and resource allocation—to make data…

Democratizing Big Data

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by Jelani Harper The benefits of Big Data are apparent: improved analytics based on real-time input of a variety of geospatial, weather, customer, competitor, and industry-specific information. It highly influences business and operations processes in close to real time, especially with predictive analytics and operational intelligence options. Yet, current adoption rates prove that inhibitors of…

Semantic Interoperability: The Future of HealthCare Data

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by Jennifer Zaino Good healthcare depends so much upon having high-quality information about a patient. The problem is that that data lives across multiple providers and institutions, and that the industry has yet to fully conquer the challenge of exchanging and integrating this information, thanks to the use of multiple vocabularies, formats, and systems by…

The New Normal: Unified Cloud Accessibility

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by Jelani Harper Cloud Computing adoption rates are growing in nearly every vertical industry as organizations become aware of and take advantage of its benefits including: Less infrastructure costs: Storing data in the Cloud reduces the need for physical infrastructure and encourages the current BYOD trend in which users are not tied to specific hardware…

Advanced Data Governance

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by Jelani Harper Although there are numerous areas of focus and a variety of ways to implement Data Governance programs, some of the most fundamental prerequisites for such a program include: Definitions: Determining what attributes key data terms consist of, and providing a degree of consistency in how those terms are used and how the…

The Ubiquitous Data Model

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by Michael Brackett Traditional data models cover the extremes from generality and commonality to detail and specificity. They also range from providing a full understanding of the data based on the business to rapid physical implementation for immediate use. Such extremes lead to data that are not thoroughly understood and a disparate data resource. The…