Shreesha Hegde transformed contract processes, reducing booking time from 45 to 5 days, boosting operational efficiency and customer satisfaction.
Shreesha Hegde
The enterprise data management industry is critical in helping companies to effectively utilize on it for strategic management, operations, and digitization. In today’s world with higher tempo of business turnover, many organizations opt for progressive tools providing real-time data connections, smooth inter-company communication, and business process management. The complexity of business operations has therefore led to a need of elastic, event-driven systems and sound master data management (MDM) programs across geographies to maintain data integrity. With the emergence of digital transformation as a strategic management imperative, organizations are now aiming to develop new solutions to optimize mechanisms and enhance customer experience.
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Shreesha Hegde transformed contract processes, reducing booking time from 45 to 5 days, boosting operational efficiency and customer satisfaction. By designing event-driven data integration between Microsoft Dynamics 365 CRM and Oracle JDE, he ensured seamless data flow and real-time updates. His work refined workflows, eliminating data bottlenecks and expediting service delivery. Through strategic leadership, he aligned technical solutions with the company’s digital transformation goals, driving scalable, efficient operations and strengthening client relationships.
It was important to foster cross-department collaboration by creating a unified data flow, reducing miscommunications, and aligning teams toward common goals. His efforts accelerated contract processing, enhancing customer satisfaction and meeting SLAs faster. By driving digital transformation, inspiring innovation, and mentoring teams, he promoted a culture of continuous learning while advancing organizational goals.
He led the implementation of a global enterprise data platform, standardizing field operations through a common service data model and enabling real-time data sharing for faster service deployments. Additionally, he established master data management (MDM) and governance frameworks, enhancing data quality, consistency, and operational efficiency across global regions.
A successfully designed and implemented a global parts master data system with near real-time ingestion, enhancing procurement efficiency for over $1B in annual field parts purchases, was underscored. By introducing modern features like SQL co-pilot, auto ML, and zero ETL, he increased adoption of the enterprise data platform, improving data accessibility and driving organizational efficiency across departments.
Major challenges that he faced include prolonged contract processing times, which he resolved by implementing an event-driven integration system, reducing delays from 45 days to 5. He also overcame resistance to modern data platforms by simplifying adoption and conducting training sessions. Shreesha has also authored a paper ‘Implementing OperationalMaster Data Management To Govern Business Critical Master Data For Large Global Enterprise’, where he highlights a robust framework based on industry best practices, focusing on scalability, security, and operational efficiency
“I believe that event-driven data integration will become essential for automating mission-critical processes like contract booking”, he comments. He envisions a future where the complexity of integrating disparate systems, such as CRM and ERP, will significantly reduce through the combined use of robotic process automation and Gen AI-driven workflows.
Shreesha’s work exemplifies the transformative potential of data platforms in modern enterprises. His innovative solutions not only refined processes but also fostered a culture of continuous learning and cross-functional collaboration. By overcoming major challenges such as prolonged contract processing times and resistance to new technologies, he contributed significantly to the organization’s digital transformation journey, setting a benchmark for excellence in enterprise data management.
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