With a mountain of transactional data, streaming feeds of real-time market data, and an influx of third party information available, the financial services sector has long been ripe with opportunity for insight. While the advanced analytical techniques in use are the most visible aspect of generating insight, activities to organize, access, cleanse, and govern data are absolutely critical in developing an underpinning of valuable data. Companies these days, particularly in the financial services sector, are responding with their wallets. When it comes to spending, technology leaders need to make sure the infrastructure is robust and scalable, the environment and the data are secure and reliable, and the users are armed with the tools and applications required for their jobs. With those pieces in place, organizations typically then turn to analytics as a way to move from automation to optimization. Essentially, the tremendous amount of data created from these modern IT environments contains nuggets of wisdom that can be extracted with the right tools, and more importantly, the right data-driven mindset.
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Michael Lock
As a Vice President and Principal Analyst, Michael oversees two main research practice areas at Aberdeen: Business Analytics, and Business Planning & Execution. Between these two areas of coverage, the team conducts cutting edge, user-driven research in some of the most critical and growing areas of the business world including business intelligence (BI), big data, enterprise resource planning (ERP), corporate performance management (CPM), financial management & GRC, and business process management (BPM). Michael’s own research focuses on business analytics and the usage of these vital tools and strategies among a growing base of non-technical, line-of-business decision makers. The research covers emerging trends such as self-service BI, collaborative analytics, operational intelligence, and embedded BI. Michael’s fact-based research explores the end-user’s perspective of business analytics and continually seeks to draw a connection between analytical activity and tangible, repeatable business performance.
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Dec 6, 2016 4:22 PM
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Michael Lock
A sound analytical strategy encourages activity and embraces a self-service methodology but also provides guidance and oversight from those close to the data. This governance will be instrumental in preventing data quality issues, superfluous analyses and misguided decisions. Enter master data management (MDM). The technologies and processes underlying a typical MDM strategy not only provide oversight and access control, but also enable companies to track the origin and lineage of data to ensure safety and consistency in the decision process.
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