A global financial technology platform serving millions of small businesses and consumers engaged Akraya to transform their data engineering operations. The Expert Performance Service Analytics team spanning multiple business units managed critical metrics driving executive decision-making.
Challenges Faced
This section outlines the core difficulties and pain points the client was experiencing. It provides context on the hurdles that needed to be overcome before achieving the successful outcome.
Manual Reporting Consuming Analyst Capacity
Every Monday, team members manually updated Excel sheets tracking 2-3 metrics each across 250+ critical business indicators.
Data Definition Drift Creating Integrity Risks
As business requirements evolved, metric definitions changed but historical pipelines weren't updated.
Fragmented Dashboard Ecosystem
Multiple teams under one director managed disparate views with no unified source of truth.
Akraya’s Strategic Solution
We engineered an end-to-end data automation solution transforming how the organization manages and consumes analytics -
Evolved from a single dashboard with weekly, monthly, and quarterly views to a comprehensive daily dashboard.
Measurable Outcomes
Operational
250+ metrics were fully automated ensuring no manual reporting across all critical business indicators.
Financial
$1.2M annual analyst productivity reclaimed by eliminating manual work stream.
Business
Automated pipelines enabled data science project tracking conversation feedback and engagement metrics daily.
Conclusion
Akraya transformed a fragmented, manual reporting ecosystem into an automated analytics engine powering enterprise decision-making. The automation foundation we built continues enabling advanced initiatives like the conversation tracking model proving that modern analytics infrastructure is the prerequisite for AI innovation.
