# Accelerating data-driven decision-making with embedded analytics consultants

> An ESG-focused investment manager · Financial Services

How embedded, secondment-style analytics consultants helped an ESG-focused investment manager deploy advanced analytics fast, without the cost or commitment of permanent hires.

## At a glance

- **90%+** reduction in reporting errors

## What was the problem?

The investment manager needed timely, data-driven insight but faced the usual barriers to building an in-house analytics team: high recruitment costs for specialist roles, slow time-to-value from onboarding and training, limited expertise in modern tools and methods, and difficulty scaling capacity as data demands grew. In parallel it needed to clear manual reporting bottlenecks, establish a clear data strategy, and close internal skill gaps that were limiting innovation.

## What did QuantSpark do?

QuantSpark embedded strategy and analytics consultants directly into the client's research and portfolio teams, backed by the wider consultancy's engineering and data-science capability. The consultants automated portfolio reporting through ETL pipelines and dashboards, built an 18-month data roadmap focused on automation and alpha-generating opportunities, delivered rapid bespoke analysis on demand, and ran a citizen-developer programme to upskill internal teams in SQL and AI for long-term self-sufficiency.

## What changed?

Automated reporting cut monthly reporting effort from more than 40 hours to around half a day and increased reporting frequency from annual to monthly, while reducing reporting errors by over 90%. Ad hoc analytics work freed roughly 20% of analysts' time for strategic tasks, and the firm reports a 5% investment-performance uplift attributed to improved predictive analytics. The engagement avoided long-term recruitment costs and left internal teams more capable and self-sufficient.

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