How GenAI-powered Azure data management, streamline operations and improve decision-making for a seamless transition from legacy systems?

Key Highlights for an Interesting Success Story

• The project aimed to modernize the client’s data management by integrating real-time data streams, automating reporting, and migrating from legacy systems seamlessly.
• The client struggled with complex data management, inefficient data integration, and manual reporting, which impeded effective decision-making and operational efficiency.
• By deploying Azure Event Hub for real-time streaming and Azure Data Factory for seamless data ingestion, we automated reporting with Power Automate and ensured a seamless transition.
• Our solution enhanced the client’s operational efficiency, improved data governance, and enabled real-time decision-making, resulting to greater agility and a competitive.
• Read the interesting success stories : Modernizing Data Management For Manufacturing Transformation using GenAI

About the Project

This project enhances operational efficiency for a manufacturing giant by revolutionizing data management. Through real-time data streaming via Azure Event Hub and seamless ingestion through Azure Data Factory, we ensure smooth integration from diverse sources. Our SSIS Lift and Shift method guarantees data integrity during legacy system migration. Power Automate simplifies report generation for rapid decision-making. Elevate your operations with enhanced efficiency, governance, compliance, and foster innovation and agility today.

Problem Statement

1.Complex Data Model Implementation: The existing data model was complex and data governance framework created data swamps, hindering effective data management services.

2.Data Manipulation Challenges: Encountering data manipulation issues within the lake, facing inefficiencies, integrity concerns & scalability challenges in integrating diverse data sources.

3.Legacy System Integration: Seamless migration from legacy systems was crucial for maintaining data integrity and minimizing disruptions in the transition to the new architecture.

Solution Overview

1.Leveraging Azure Event Hub, OptiSol implemented a solution to stream live data from business applications directly into the Data Lake, ensuring up-to-date insights and analysis capabilities.

2.Using Azure Data Factory, ingestion from multiple sources, including databases and file servers, was streamlined, enabling efficient data processing.

3.OptiSol employed the SSIS Lift and Shift method within Azure Data Factory to seamlessly migrate data from legacy systems into the Data Lake, ensuring data continuity and integrity.

4.Implementing Power Automate, OptiSol automated the generation and distribution of Daily, Weekly, and Monthly reports, improving operational efficiency and decision-making processes.

5.The new architecture facilitated simultaneous data reading and writing, supporting various analytical processes, including BI tools, data science, machine learning, SQL queries & analytics.

Business Impact:

1.Improved Operational Efficiency: Streamlined processes improve efficiency, reduce manual work, and enhance data reliability, fostering scalability and innovation which results in 35 % Increase in Productivity

2. Enhanced Data Governance : Enhanced data governance practices clear data lakes, boosts compliance, and drives rapid innovation, ensuring organization competitiveness which results in 15 % Enhanced Data Governance.

3.Real-time Decision-Making: Real-time analytics enabled timely, informed decisions, enhancing the ability to seize opportunities and mitigate risks for a competitive edge which results in 29% Real-time Decision-Making.

Our Key Differentiators are,

1. Consultative Engagement

2. Design Thinking

3. Agility 4. Tool-Driven Approach

5. Competitive Pricing 6. Resource Expertise

We are a certified Microsoft Gold Partner and AWS Consulting Partner.

Email: info@optisolbusiness.com

Phone:US: +1(415) 233-4737 | +1(908) 838-0191 | +1(408) 459-5837