Data Articles | Data Science, Business Intelligence, & More

Degrees of Data Structuring – Again

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by Michael Brackett Data management is faced with a large and growing lexical challenge.  Many terms are created that do not have roots, prefixes, or suffixes applicable to data management.  Many terms are used, misused, abused, and abandoned when their usefulness is over.  Many terms are undefined or multi-defined and have no denotative definitions that…

Data Lakes: Complicating Big Data Governance

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by Jelani Harper The Data Lake concept is intriguing, particularly in the wake of the ascendancy of Big Data initiatives and the value they add to one’s data assets through the integration of proprietary historic and/or transactional data. The benefits derived from utilizing a highly scalable, distributed data store as a single repository (aka a…

Risk Analysis: Is It Based On The Big Data Picture?

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by Jennifer Zaino Businesses understand people by certain data points, which will formally, or in some cases informally, factor into determining whether they are a worthy credit risk, a safe driver, an appropriate job prospect, and so on. But companies – and therefore their risk analysis of any one individual – may be missing the…

Cognitive Cloud Platforms: Cognitive Computing Apps for All

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by Jennifer Zaino You’ve heard of Cognitive Computing. And you’ve heard of the Cloud. Now, it’s time to get familiar with Cognitive Cloud platforms. What is a Cognitive Cloud platform? Think of it as extending the ecosystem that will make it possible to create and bring Cognitive Computing applications to the masses. Startup Cognitive Scale…

Capitalizing on Elastic Computing

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by Jelani Harper Aside from its potential to integrate and aggregate a host of resources and technologies, Cloud Computing can most prominently benefit the enterprise through the enabling of Elastic Computing. Elastic Computing is the utilization of the Cloud’s nearly limitless scalability to provision resources on demand and at scale without conventional architectural concerns associated…

Exploratory Analysis: Parsing Event Data

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by Jelani Harper Of all the traits of Big Data that account for this term’s relevance in today’s Data Management landscape, its temporal aspect may prove the most valuable for the enterprise. The utility in analyzing massive data of a variety of types is only increased when one is able to do so in real…

Accelerating Internet of Things Analytics

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by Jelani Harper The explosion of data projected to emerge in the wake of the burgeoning Internet of Things (IoT)—and which is a daily occurrence in the Industrial Internet—requires specific needs for analytics that are unique to this facet of Data Management. In order to effectively glean insight into the continuous streams of real-time event…

Maximizing Cloud Utility

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by Jelani Harper Cloud Computing is arguably the hub of the technologies that are at the forefront of the contemporary Data Management landscape. It enables the best of them—Big Data, analytics, mobile access—to work together as a synthesis that is greater than the sum of the individual parts. Whether it’s being used as a means…

Simplifying Predictive Analytics

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by Jelani Harper Predictive analytics represents the culmination of technology initially pioneered in Business Intelligence tools, especially when one considers their prescriptive capabilities that not only determine the likelihood of future events, but also prescribe the most viable courses of action to deal with them. When combined with sets of Big Data—which are constantly updating…

Pattern Recognition: The Paragon of Big Data Analytics

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by Jelani Harper  Many vendors and end users of data driven products, services and processes, believe predictive analytics represents the epitome of predictive capabilities. When augmented with Machine Learning algorithms that establish data-derived precedents and incorporate them into future processes, predictive analytics can enhance analytics operations for any number of vertical industries including retail, health…