Consolidated Multiple ERP Systems for a Fire & Security Tech Provider post-acquisition, removing duplicates to establish a unified master data source

Success Story

Consolidated Multiple ERP Systems for a Fire & Security Tech Provider post-acquisition, removing duplicates to establish a unified master data source

About the Client

Fire & Security Tech Provider

Challenges

  • The client’s acquisition of 8 new companies led to the integration of multiple ERP systems, creating data silos and inconsistencies.
  • High volume of duplicate records within the master data of vendor and customer systems, causing reporting inaccuracies and inefficiencies.
  • Lack of a unified reporting system hindered data-driven decision-making.

Approach

  • Data Assessment: Conducted a detailed analysis of ERP system data to identify redundancies and inconsistencies across service, install, and revenue datasets.
  • AI-Driven Deduplication Strategy: Designed an AI-powered deduplication framework using fuzzy logic to eliminate duplicate records while preserving data integrity.
  • Consolidation Roadmap: Created a step-by-step plan for integrating multiple ERP systems into a unified reporting structure.
  • Seamless Reporting Flow: Integrated consolidated data views directly into Power BI, enabling real-time and consistent reporting for business stakeholders.

Solutions

1. Developed consolidated data views for service, install, and revenue reporting, ensuring accuracy and consistency.

2. Implemented AI-based deduplication using fuzzy logic to clean and standardize vendor and customer master data.

3. Established a single source of truth for all business reports, accessible through Power BI dashboards.

Impact Delivered

90%

Accuracy in data deduplication, addressing 60% of duplicate records in the master data.

Enabled a unified reporting system, providing a single source for all business-critical reports.

Improved decision-making with reliable and consistent insights powered by clean and consolidated data.


Streamlined reporting for a Leading Semiconductor Manufacturer by consolidating 65+ manually updated dashboards into a Unified, Automated System with a Single Source of Truth

Success Story

Streamlined reporting for a Leading Semiconductor Manufacturer by consolidating 65+ manually updated dashboards into a Unified, Automated System with a Single Source of Truth

About the Client

Leading Semiconductor Manufacturer

Challenges

  • Over 65 manually updated dashboards, leading to significant time consumption for data refresh and maintenance.
  • Lack of a Single Source of Truth, with data stored across multiple databases and transformed through intermediate Excel processes, resulting in inconsistencies.
  • Inefficient processes hamper timely and informed decision-making.

Approach

  • Data Flow Mapping: Conducted a thorough assessment of existing data pipelines and manual transformation steps to identify bottlenecks.
  • Technology Selection: Collaborated with stakeholders to select and customize Microsoft’s Power Platform to meet the client’s reporting and automation requirements.
  • Incremental Rollout: Designed a phased implementation plan to ensure smooth integration of automation tools with existing workflows.
  • Skill Enablement: Trained client teams to effectively use Power BI, PowerApps, and Power Automate for self-service analytics and process automation.

Solutions

1. Automated data pulling from multiple sources using Azure Data Factory (ADF), enabling real-time and near real-time access to data.

2. Leveraged Microsoft Power BI for dynamic and interactive dashboards, PowerApps for customized applications, and Power Automate for robotic process automation (RPA).

3. Established a Single Source of Truth, consolidating data into one consistent and reliable system.

Impact Delivered

42

dashboards developed and deployed within just 6 months, significantly improving reporting capabilities.

Achieved One Source of Truth, ensuring data consistency and reliability across teams.

Enabled faster and better decision-making with real-time data access.