Join us for the Big Data Analytics IV Conference: Data Quality

Big data has become a hot topic, with many conferences being organised each year. The Big Data Analytics series seeks to be different from most. Rather than presenting uncritical eulogies for the possibilities of big data, this series considers the tools, methods, and challenges of extracting understanding from data. Each year, the meeting has a different theme. This year’s theme is Data Quality.

Data quality is an issue which affects everyone concerned with data analysis or making decisions based on data. This is true for researchers in the health sector, manufacturing, the service industry, the finance sector, and indeed everywhere else. The classic adage Garbage In, Garbage Out is an especially forceful warning in the realm of big data, where each data point cannot be examined by eye, but one must rely on the computer as a necessary intermediary. Unfortunately there is no limit to the number of ways in which data can be distorted or corrupted.

Data quality issues have three strands: prevention, detection, and correction. This conference will look at all three.

Keynote Speaker:

Ed Humpherson, Director General for Regulation, UK Statistics Authority

Speakers:

Geoff Cross, Winton

Professor Walter Mebane, University of Michigan

Dr Elizabeth Wager, Sideview

Professor Keith Baggerly, MD Anderson Cancer Center

Professor John Quackenbush, Dana-Farber Cancer Institute

Panellists:

Clive Frostick, Ipsos MORI

Dr Sabina Leonelli, University of Exeter

More speakers and panellists will be announced soon!