Data Articles | Data Science, Business Intelligence, & More

Why Multi-Domain MDM Matters

by Jelani Harper According to Gartner, approximately 70 percent of Fortune 1000 companies will have employed at least two Master Data Management (MDM) solutions to provide enterprise-wide MDM support by 2014. In financing and implementing these single-domain MDM platforms – which usually focus on either product or customer data – organizations will have nearly doubled…

Big Data in the Boardroom

by Ezekiel James Historically, data based projects begin, and sometimes end in the IT department with other departments giving their input throughout this process.  This isn’t a major revelation, but as Big Data begins to take on a life of its own – that is, as C-level executives view it as a valuable organizational asset…

Data Schemas and Data Structures 1

SD x 300

by Michael Brackett Following the discussion of Data Architecture and Data Structures, the next questions are What’s the difference between data schemas and data structures? and How are data schemas, data structures, and data models formally named?[i] Numerous attempts have been made over the years to formally name specific data structures and the data models…

Implementing Big Data: Governance Concerns for Data Scientists

Point of Meeting x 300

by Jelani Harper Much of the difficulty in implementing and sustaining a Big Data initiative on an enterprise-wide scale is in employing Data Scientists who can analyze and model unstructured and semi-structured data in a way that is accessible to end users. Despite the emergence of Data Science programs resulting in continuing education units and…

Analytics: Where Business and IT Peaceably Meet

by Jelani Harper The traditional differences between IT and business representatives are so manifold and eminent that it may be easy to forget they’re working for the same organization. In addition to inherent personality stereotypes (in which the former is supposedly introverted, the latter extroverted), conventional complaints revolve around the fact that IT takes too…

Implications for Big Data Governance

big data governance x 300

by Jelani Harper In theory, the governance of Big Data is not much different from that of conventional data. There are greater quantities of the former that are ingested more rapidly, which require the dedication of more effort and resources for effective governance. But the principle goals of governance remain unchanged: to give a formal…

A Semantics Approach to Information Management

by Jelani Harper Semantics technologies have emerged as one of the most influential means of Data Management. A March report from Gartner identified semantics technologies as one of the top trends impacting information infrastructure in 2013. There is a utilitarian aspect of Semantics technologies that can bring value to virtually any organization, regardless of its…

Big Data as a Service: Is the World Ready?

by Ezekiel James It’s not a huge revelation that the world of Cloud computing is rapidly evolving and taking on a wide range of shapes these days.  The as-a-service nomenclature is expanding beyond Cloud-based platforms, infrastructures, and software solutions. It now includes a variety of Web and Data Management technologies that are almost becoming too…

Data as a Service 101: The Basics and Why They Matter

by Ezekiel James Cloud-based technology is becoming increasingly complex, and so the as-a-service (aaS) space has, is, and will become increasingly crowded. In fact, it’s getting harder and harder for data professionals to keep track of each Cloud computing model, and how they all differentiate from one another.  The reality is that this isn’t as…