FIMA Europe 2015 (past event)
10 - 11 November, 2015
10th – 11th November, 2015 | QEII Conference Centre, London
Creating Smart Data Insights Through Intelligent Data Integration
In order to address the growing importance of data governance and management in an increasingly datadriven financial environment, a panel of data management professionals met at FIMA 2015 to diagnose common data management issues in an engaging live forum. Their expertise and case examples are the basis of the analysis contained in this report. In addition, David Newman, SVP of Enterprise Architecture and IT Strategy at Wells Fargo contributed insight on topics covered by the panel.
Regulation requirements and the desire for a greater understanding of risk are both behind the growing importance of connecting big data. However, it is important to understand that simply collecting big data does nothing to improve the quality of insight within a financial institution. It is only through identifying relevant data identifiers and breaking down the barriers between siloed repositories of information that useful intelligence can be gained. To this end, how does one go about conceptualizing the beginning of this task? The process of creating data insights starts with knowing the questions you are trying to answer, then carefully managing the data tags and integration required to paint a picture, often incorporating external reference data along with proprietary information. In this way, an organization is able to solve big data mysteries with smart data clues.
Regulation requirements and the desire for a greater understanding of risk are both behind the growing importance of connecting big data. However, it is important to understand that simply collecting big data does nothing to improve the quality of insight within a financial institution. It is only through identifying relevant data identifiers and breaking down the barriers between siloed repositories of information that useful intelligence can be gained. To this end, how does one go about conceptualizing the beginning of this task? The process of creating data insights starts with knowing the questions you are trying to answer, then carefully managing the data tags and integration required to paint a picture, often incorporating external reference data along with proprietary information. In this way, an organization is able to solve big data mysteries with smart data clues.
This article is produced by FactSet Research Systems Inc.2015.
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