Legacy Sources
Unified 14+
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Enterprise IT · RPA + AI + BI
Translated legacy data into actionable BI dashboards using RPA, AI, and Power BI.
Critical reporting cycles depended on legacy exports and manual consolidation, slowing decision quality across business teams.
Manual Reporting
↓ 76%
Dashboard Freshness
Near Real-time
Decision Confidence
Significantly Higher
"Our analytics function moved from collecting data to actually influencing decisions."
Head of Business Intelligence
Client Context
The client relied on multiple legacy systems that were difficult to query directly, creating delays between operational events and management reporting.
Core Challenge
Data was trapped in old platforms, reporting was labor-intensive, and leadership lacked timely dashboards for planning and intervention.
Turning Point
We introduced a staged data modernization path using RPA extraction, AI-based normalization, and Power BI delivery for business-facing insights.
Delivery Journey
Automation bots captured legacy records, transformation logic standardized entities, and dashboard models were built around business questions rather than source constraints.
Human Impact
Reporting teams shifted away from repetitive compilation work and focused more on analysis, scenario planning, and proactive performance conversations.
Outcome
Management gained fresher visibility, reduced reporting friction, and higher confidence in decisions driven by unified, validated KPI dashboards.
Next Step