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Data Science Trends For 2013

by Paul Williams The formalization of practices used in Data Management combined with the heightened importance of data analytics has led to the emergence of Data Science as a discipline throughout the data industry. This advent is taking place within progressive companies leveraging internal training classes, as well as at universities developing data scientists ready…

Data Governance – Do Job Titles Matter?

Janine Joseph

by Janine Joseph We all know the model – the industry standard enterprise Data Governance model. We’ve seen different flavors of this framework and we’ve probably tried to tailor this to fit our own company’s culture. We know we need a Data Governance Council, Data Stewards, etc., but have we aligned job titles to this…

The Future of Business Intelligence

BI Person

by Jelani Harper BI is at a crossroads; its place as an integral part of Data Management is secure, with everyone from the public to the private sector incorporating data into their operational processes. Yet, as the reliance on data increases, the nature of the role that BI will play in future data integration is…

2013 Trends in Data Governance

by Paul Williams The practice of Data Governance continues to grow in relevance as data becomes more important to the enterprise, especially in this age of Big Data and Cloud Computing. Expect this trend to persist in 2013, as companies, worried about compliance issues and/or interested in improving business efficiencies, look towards governance and related…

New Rules, New Roles – Data Management Job Titles in Transition

Tony_Shaw

by Tony Shaw There has never been a better time in the entire history of the business world to possess “data skills.” Unlike so many other professions right now, including many in IT, folks in data management have the luxury of unparalleled opportunity. Mainstream management journals including Forbes, the Economist, and Harvard Business Review are…

The Umwelt Principle

by Michael Brackett Every public and private sector organization has a unique perception of the business world in which they operate.  The organization perception principle states that the comparate data resource developed to support an organization’s business must be based on the organization’s perception of the business world and how it chooses to operate in…

7 Tips for Staying Relevant and Valued as a Data Modeler

Modeling with Graeme

by Karen Lopez 1. Learn about NoSQL database technologies You aren’t going to get any warning when your company’s first NoSQL project shows up.  It might be the result of a 19th-hole acquisition project (when C-level executives are wined and dined by a software vendor) or it might be part of a package solution that…

The Emergence of Data Science: Data Management’s New Pioneers

by Charles Roe The transformations within the Data Management industry are nothing less than phenomenal. Look back 40 or 50 years and we saw the creation of IBM’s IMS in 1966, CODASYL in 1969 that defined the early specifications for DDL and DML. The 1970s saw extensive work on relational database structures, the development of…

Big Data Trends in 2013

by Paul Williams In a similar manner as Cloud computing, the concept of Big Data spans many areas within Data Management. It is arguable that the growth of NoSQL and the Cloud is partially due to enterprises trying to deal the difficulties in weaning meaningful business information out of the mass of Big Data. In…

2013 Trends in Data as a Service and Cloud Computing

by Paul Williams One of the principal ongoing trends that touch all areas of the Data Management profession is Cloud Computing. In 2013, the Cloud’s growth will continue to persist at all levels, both business and consumer. Individual users will leverage Cloud-based storage options for music, video, and pictures, while businesses will use similar products…