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Financial Technology / B2B

Transforming FinTech Insights with Data-Driven Power BI Dashboards

We helped a FinTech scale-up automate data processing, consolidate fragmented financial datasets, and deliver interactive Power BI dashboards for faster, actionable insights.

💬Client Feedback

Exceptional expertise in Power BI, data modeling, and data processing, quickly understanding our complex financial datasets. The dashboards significantly improved our reporting efficiency and accuracy. Communication was clear and timely throughout the project, and every milestone was met with professionalism and attention to detail.

Kirtika SinghInsights Team lead, Mozaic

Mozaic

Financial Technology / B2B
Company SizeScale-up (50-200 employees)
RegionRemote / USA
Engagement1-2 months
Time to ValueImmediate insights from automated dashboards, reducing reporting effort from days to minutes
Services Used:
Data Extraction, Transformation & CleansingPower BI Report & Dashboard DevelopmentData Modeling & DAXPower QueryEmbedded Power BI Solutions
⏱️90%Reduction in report generation time
📊31Automated KPIs tracked
🔗100%Data sources integrated & processed
5xFaster stakeholder insights delivery

🎯The Challenge

Mozaic’s financial data was scattered across SQL databases and spreadsheets, inconsistent in format, and required extensive manual consolidation. Reporting was slow, error-prone, and limited in interactivity, preventing timely business decisions.

Key Pain Points:

  • Fragmented data sources across multiple systems
  • Inconsistent, incomplete, and unclean data requiring preprocessing
  • Manual reporting consuming days per cycle
  • Static dashboards with limited interactivity
  • High risk of errors due to manual consolidation
What was at stake: Without automated data processing and interactive dashboards, executive and operational teams lacked timely insights, slowing decision-making and risking missed opportunities.

🤝Why EndSpec

Our expertise in both advanced data processing and Power BI development enabled us to transform complex financial datasets into clean, actionable insights and interactive dashboards, delivering high accuracy, scalability, and faster decision-making for stakeholders.

💡The Solution

We implemented an end-to-end Power BI solution that automated data extraction, transformation, and cleansing, developed optimized data models, and delivered intuitive dashboards tailored to stakeholders’ needs. Embedded visuals and interactive features enhanced usability and decision-making.

Implementation Phases:

1
Data Discovery & Modeling

Analyzed all data sources, identified inconsistencies, and built star-schema models to ensure performance, scalability, and accurate reporting.

10 days
2
Data Transformation & Cleaning

Used Power Query and SQL to consolidate, clean, and standardize raw data, ensuring accuracy across all reporting sources.

12 days
3
DAX Measures & Calculations

Developed complex DAX formulas to calculate key KPIs, financial metrics, and trends, enabling real-time, automated insights.

10 days
4
Dashboard & Custom Visual Development

Created interactive dashboards with drill-through capabilities and embedded custom visuals, empowering stakeholders to explore data dynamically.

15 days
5
Embedded Solutions & QA

Integrated dashboards into internal portals, validated all data and calculations, and trained users on self-service analytics.

13 days

Technology Stack:

Power BI DesktopPower BI Service & EmbeddedDAXPower QuerySQL ServerTypeScriptAzure

📊Results

By automating data processing and developing interactive dashboards, we reduced reporting time from days to minutes, improved data accuracy, and provided stakeholders with actionable insights for faster, confident decisions.

MetricBeforeAfterImprovement
Reporting cycle time3-5 days per reportMinutes per reportDramatic efficiency gain
Manual data consolidationRequired daily analyst effortFully automated with data preprocessingFreed analysts for higher-value tasks
Stakeholder visibilityLimited static reports15 interactive dashboards with drill-through capabilitiesImproved decision-making speed and accuracy
Data accuracyErrors due to manual consolidation100% validated through automated processing and modelingReliable, actionable insights
90%Reduction in report generation time
31Automated KPIs tracked
100%Data sources integrated & processed

🚀What's Next

The client plans to expand dashboards with predictive analytics and machine learning integrations, further enhancing financial forecasting and decision-making capabilities.

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