-
$1.2m
in annualized savings
-
18,000
hours of data management
-
9 FTEs
vs. 4 initially
-
20%
YOY Process efficiency
CLIENT CHALLENGES
- In 2012, the client’s research data group required an integrated data management process to source, validate and compile raw data for the research team
- Raw data included macroeconomic data, market data, company fundamentals, M&A, trade data,ownership/ holdings, commodities,fixed income, reference data and derivatives, among others
- Client’s existing processes created databases in siloes and without interlinkages
- As a result, extracting, validating and compiling data for research and production was time-consuming and expensive
OUR APPROACH
- Assembled a team of domain experts,database architects, application programmers, process managers, and data analysts
- Used common data model and data adapters to integrate data from different sources which resulted in robust quantitative data collection services coupled with customized master data mapping
- Worked with clients to define business rules for Quantitative data collection services and data monitoring, validation and capture
- Worked on a workflow management system that segregated automated and manual components of the data management processAssembled a team of domain experts,database architects, application programmers, process managers, and data analysts
IMPACT DELIVERED
- Handled more than 18,000 hours of data management time
- Released bandwidth for the client team to focus on investment decisions through the use of complex quantitative methods
- Helped the client standardize the raw data management process
- Acuity’s quantitative data collection services and data analytics support resulted in savings of 1.2 MM in costs
- Improved process efficiency (20% YOY)
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