Data Operations & Portfolio Management for Global Fund Client

CLIENT CHALLENGES

The client was facing bandwidth constraints in information upkeep and updating 30,000+ holdings of ca 5,000 funds
Key challenges were:
- The client had adopted manual processes for the maintenance of fund data and other relevant records in its reservoir
- As a result, not only data processing was slow but also quality gaps emerged at the portfolio level in the final output
- To and fro checking of information to identify quality gaps increased not only the churn time but also the cost
- Given higher resource utilisation and increased time on data management, the team faced cost pressure from CFO

As the client had a humungous data library, Acuity Knowledge Partners (Acuity) suggested the adoption of cloud computing and iLevel
Acuity deployed a team of analysts to execute data migration to iLevel, guided by a team of transformation managers to set up and lead the data-ops process
For efficient process execution, the team developed a data extraction application to enable quick data processing
To ensure top-notch quality is delivered to the client, the team adopted a 3-tier quality review process across the entire data journey
Not only did the team contribute towards data enhancement, but also back-filled historical data and made adjustments as per client requirements

The client not only saved time from a fast turnaround in data maintenance, but also benefited from higher accuracy of input data
Given the adoption of semi-automated tools by the team and availability of data-ops analysts at a reasonable cost, the client was able to save to the tune of USD3.0m annually
The availability of increased bandwidth and reduced data processing time enabled the client to devote more time to other core data-monetisation activities

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