Big Data & Big Science: Requirements for a Post-Big Data Era

The recent intense focus on data got subsumed by bad technology habits. Hype, hubris, hope, etc. overtook careful planning, analysis, design. (We actually seem to have got the implementation portion down better.) The question remains, what next? The answer, unsurprisingly, remains return to the basics – specifically:

1) reimplement timeless development practices to regain discipline over hype

2) fight hubris by formalizing adoption models so that mastery over new technologies/techniques may be realistically forecast

3) using data to build a common body of knowledge about the subject providing the opportunity to trust but verify projections/forecasts

About our speaker:
Peter Aiken is an acknowledged Data Management (DM) authority. As a practicing data consultant, professor, author and researcher, he has studied DM for more than 30 years. International recognition has come from assisting more than 150 organizations in 30 countries including some of the world’s most important. He is a dynamic presence at events and author of 10 books and multiple publications, including his latest on Data Strategy. Peter also hosts the longest running and most successful webinar series dedicated to DM (hosted by dataversity.net). In 1999, he founded Data Blueprint Inc, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I) and Associate Director of the MIT International Society of Chief Data Officers.