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In the financial services industry, numbers tell stories. But when data is scattered across multiple systems, extracting those stories becomes complex and sometimes even impossible. This was the challenge faced by a leading financial advisory firm with more than 300 active customers.

The firm wanted to provide value-added services to its clients by benchmarking multiple financial KPIs. Their vision: empower companies of similar size and segment to compare financial performance, assess the health of their balance sheets, and gain actionable insights for better decision-making.

But turning this vision into reality required more than dashboards. It required a scalable, data-driven platform that could unify data, handle advanced analytics, and evolve as new data sources were added.

When Numbers Refuse to Add Up: The Challenge

The firm was dealing with the same issues that many in financial services face: data scattered across multiple sources, inconsistent formats, and a lack of structure that made benchmarking nearly impossible.

Reporting was slow and resource-heavy. Analysts spent more time piecing numbers together than creating meaningful insight. And clients, eager for comparative analysis, were left with reports that answered what happened, but not how they stacked up against peers. It was a problem that needed both technical depth and business context. Key challenges included:

  • Data scattered across multiple sources with no single source of truth
  • Slow reporting cycles that delayed client decisions
  • Benchmarking that was inconsistent and lacked credibility

How We Turned Data into a Reliable Resource: The Solution

We approached the challenge with a simple vision: build a system where data could be trusted, processes could run automatically, and insights could scale with the firm’s growth. The work began by consolidating scattered information into a single platform. This immediately improved accuracy and eliminated the constant back-and-forth of manual checks. With Azure and Databricks at its core, the new setup allowed data to move quickly and reliably, giving the team confidence in the numbers they were working with.

But consolidation alone was not enough. To make the information truly useful, our experts designed a unified data model that gave the firm a consistent way to compare companies across industries and sizes.

Benchmarking, which had once been inconsistent and unreliable, became a practical service that every client could benefit from. The final piece was turning raw numbers into insights clients could actually use. Through interactive dashboards in Power BI, financial performance can now be seen, compared, and understood at a glance. Key highlights of the solution:

  • Data consolidation into a single, trusted platform
  • Unified data model enabling accurate benchmarking across industries
  • Interactive dashboards in Power BI for dynamic, client-friendly reporting

The Results That Made a Difference

Reports that once dragged on for days were now generated in a fraction of the time, freeing analysts from endless data preparation. Instead of wrestling with spreadsheets, the team could finally focus on interpreting results and guiding clients with meaningful advice.

For customers, the change was just as clear. They could now see how their performance compared with peers, understand the health of their balance sheets in context, and make decisions with a level of confidence that wasn’t possible before. What had previously been routine reporting turned into a service that offered perspective, helping clients not only see their numbers but understand what those numbers truly meant for their business.

The Outdated Designs

Today, the biggest lack in the conventional ERMs is their retrospective design. They totally depend on the registered data patterns. But today, these records are becoming increasingly irrelevant. The pace of modern advancements is giving birth to various new risk categories every day, which traditional models cannot handle.

Where We Added Value

This project reflects their approach to every engagement, designing systems that are scalable, reliable, and built with the client’s goals in mind.

By combining data engineering, advanced analytics, and business intelligence, our experts gave the financial advisory firm more than a platform. They gave them a new way to serve their customers, one built on clarity, consistency, and insight.