Data Articles | Cloud Computing, Corporate Governance, & More

Defining Information Architecture, Part 2: IA in the Database World

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by Clark Humphrey In our last article, we discussed the origins of the term “Information Architecture” (IA), and how the term is defined differently within different branches of IT and Library/Information Science. This time, we’ll focus on various ways IA is defined within the database world. Most definitions of IA in the enterprise describe it…

Defining Information Architecture, Part 1

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by Clark Humphrey In past articles, we have discussed the differences between Information Architecture (IA) and Data Architecture (DA). But what is Information Architecture, really? It’s a term with many different definitions, among (and within) different areas of Information Technology. This article will discuss some of those definitions. A future article will discuss specific definitions,…

The Convergence of Big Data and Small Data

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by Jelani Harper The projected backlash or sentiment of disillusionment which accompanies virtually every technological innovation has manifested itself in terms of Big Data, with the growing movement towards Small Data. An analysis of the spreading Small Data phenomenon in the wake of increasing adoption of Big Data reveals that these concepts are by no…

The Future of Data Governance

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by Jelani Harper There is a sundry of benefits associated with effective Data Governance including: Remaining compliant Reducing Risk Bettering Inventory Management Improving Data Quality Increasing Transparency Nonetheless, these boons (as well as additional complications associated with integrating various technologies for Data Management) can obfuscate what should be the principle objective of Data Governance programs—to…

Relationships and Data Normalization

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by Michael Brackett Data normalization is the process of identifying, understanding, and documenting relationships within the data that an organization needs to both operate and evaluate their business (It’s All About Relationships in Data Management). Data normalization encompasses everything from normalizing the business data schema to data view schema, optimizing data view schema to logical…

Data Analytics: The Year Ahead

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by Jennifer Zaino There’s no getting around the enthusiasm for data analytics in 2014 – or the questions to which that enthusiasm inevitably gives rise. Where’s the talent and what’s the best technology to make sense of today’s endless waves of data? How can your enterprise most effectively present the insights it’s gleaned? What industries…

Of Data “Lost” and (Potentially) Found

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by Clark Humphrey Big Data, as DATAVERSITY™ and the rest of the Data Management industry has extensively reported, just keeps getting bigger. Database installations around the world (and in the Cloud) are amassing so much new data, so quickly, that some DB managers struggle to effectively sort and analyze it all. But what about the…

ServiceChannel and GoodData Model Cloud Business Intelligence

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by Jelani Harper DATAVERSITY™ has published a number of articles in the past few months indicating that the Cloud is an increasingly viable option for Business Intelligence (BI) and Big Data analytics. The recent partnership between ServiceChannel and GoodData reinforces this trend. The latter provides the technology for the former’s ProView platform and attests to…

Master Data Management Strategies for Big Data

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by Jelani Harper In addition to improving the Return On Investment (ROI) of Big Data initiatives, there are several reasons why it greatly behooves organizations to enhance their Master Data Management (MDM) with Big Data: More Effective Analytics: Linking an MDM system to Big Data can provide the basic framework for performing analytics, as the…

Smarter Than the Other Guy: Big Data Application Management

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by Jelani Harper The Big Data hype will dissipate as quickly as it arrived, unless organizations find a way to produce business value from these new technologies. Doing so requires more than sandboxes for Data Scientists, real-time analytics, or Cloud-based storage and scalability. It requires the development and production of business-driven applications that readily convert…