Case study

Automated Data Integration Transformed Analytics for a Leading Middle East Firm

About Client

Leading data analytics service provider based in the Middle East, committed to offering high-quality, reliable, and accurate digital and analytical solutions.
Specializing in AI, deep learning, IoT, and big data, they help businesses drive growth by providing actionable insights and data visualization solutions.

Problem STATEMENT

Inefficient Integration of External API Data: The client struggled to integrate data from multiple external APIs due to a manual extraction and transformation process, leading to delays, inconsistencies, and data silos.

Manual and Time-Consuming Data Handling: A significant portion of data processing required human intervention, causing inefficiencies, delays in updates, and increased operational overhead.

Unstructured and Unoptimized Data Transformation: Raw data from various sources lacked standardization, requiring extensive preprocessing before it could be analyzed, impacting the accuracy of insights.

Lack of Interactive and Real-Time Dashboards: The absence of dynamic dashboards meant that stakeholders relied on static reports with limited interactivity, hindering real-time decision-making.

Solution

We sat down with the client’s team to understand their pain points. To address these challenges, our data engineers and developers designed a comprehensive solution with the following key components:

Automated API Data Integration

Developed a robust ETL (Extract, Transform, Load) pipeline to automate external API data ingestion into a centralized system.
Established secure connections for real-time API data retrieval to minimize lag and improve data accuracy.

End-to-End Data Automation

Implemented cloud-based data processing tools to automate data extraction, transformation, and loading, reducing manual effort.
Leveraged Power Automate to streamline data workflows and ensure consistent updates.

Structured Data Transformation

Designed a data cleaning and normalization process to standardize raw data, improving accuracy and usability.
Utilized Power Query in Power BI for structured data transformation and enhancement.

Development of Interactive and Real-Time Dashboards

Built dynamic Power BI/Tableau dashboards to provide real-time insights, enhancing data-driven decision-making.
Integrated SharePoint with Power BI to ensure seamless access to updated datasets.

Scalable and Future-Proof Architecture

Designed a flexible and scalable data architecture capable of accommodating future data growth and additional API integrations.
Established a structured maintenance framework to keep dashboards relevant and accurate over time.

Technical Implementation

Technical Implementation

API Integration: Connected to external APIs to fetch required data.
Power Automate Integration: Automated data handling by receiving API data, parsing it (JSON/CSV), and storing it in SharePoint.
SharePoint Integration: Linked Power BI to SharePoint for direct access to stored data.
ETL using Power Query: Transformed and cleaned data within Power BI for analysis.
Power BI Integration: Built data models, defined relationships, and created calculated measures using DAX.

Technical Architecture

Business Impact

Faster Hiring: The recruitment process for Power BI and machine learning experts was streamlined, reducing hiring time from 8 weeks to 5 weeks, ensuring quicker onboarding of skilled resources.

Optimized Data Analysis: Enhanced Power BI dashboards improved visualization and analytical efficiency, reducing report generation time from 4 hours to just 30 minutes per report.

Improved Knowledge Documentation: The creation of detailed technical documentation reduced knowledge gaps, leading to a 15% improvement in team collaboration and project handovers.

Timely Dashboards: The structured maintenance framework ensured dashboards remained 10% more accurate, reducing data inconsistencies and outdated insights.

Higher Stakeholder Satisfaction: Optimized dashboard workflows and better resource allocation led to increased efficiency, saving teams 5+ hours per week previously spent on manual data handling.

By automating data integration, streamlining workflows, and adding interactive dashboards, we helped the client upgrade their analytics setup. Now, they can make decisions faster, work more efficiently, and rely on a system that keeps delivering real-time insights.

Industry

Technology & Software

Services Used

Power BI

Region

Middle East

Function/Department

Financial Planning and Analysis (FP&A), IT and Technology Support, Operations Management, Sales and Business Development

Engagement Model

Staff/Resource Augmentation

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Ankush

Business Development Head
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By Technology

Data Engineering

Business Intelligence

AI & Machine Learning

By Engagement Model

By Use Case

By Technology

Data Engineering

Business Intelligence

AI & Machine Learning

By Engagement Model

By Use Case

Automated Data Integration Transformed Analytics for a Leading Middle East Firm

About Client

Problem STATEMENT

Solution

Automated API Data Integration

End-to-End Data Automation

Structured Data Transformation

Development of Interactive and Real-Time Dashboards

Scalable and Future-Proof Architecture

Technical Implementation

Technical Architecture

Business Impact

Industry

Services Used

Region

Function/Department

Engagement Model

Drop Your Business Concern

Ankush

Services

Data Engineering

AI & Machine Learning

Business Intelligence

Use Cases

Products

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