Suparna Saha

· ServiceNow Target Enablement

o Spearheaded the development of the ServiceNow Target Enablement Program for Global Elite partners, benefiting 385 Partner Managers.

o Introduced new metrics tied to compensation to enhance business strategy reviews, partner deployment quality and accountability.

o Designed and implemented a Power BI dashboard with Snowflake data warehouse integration.

o Introduced role-based security measures to ensure controlled and secure data access.

· ServiceNow Opportunity Risk Assessment dashboard

o Designed and modeled the Opportunity Risk Assessment dashboard, involving partner deployments, customer satisfaction scores, and certified individuals.

o Identified ~64% of opportunities (723 out of 1123) as high risk due to non-registered deployments.

o Implemented corrective actions resulting in a 30% reduction within high-risk opportunities.

o Enabled real-time data tracking in CRM through Change Data Capture (CDC) implementation in Snowflake improving data analysis accuracy and facilitated prompt decision-making.

· Intel Partner Alliance (IPA) Program:

o Inception to execution of the Intel Partner Alliance (IPA) program.

o Created a unified platform by simplifying and consolidating Intel's diverse partner programs, fostering collaboration and maximizing partner engagement.

o Achieved 60% reduction (8hrs in a critical job's execution time by optimization Hive queries resulting in a substantial improvement in data processing efficiency.

· Cisco Data Quality (DQ) Dashboard Implementation:

o Spearheaded efforts in the implementation of a Data Quality (DQ) dashboard, proactively identifying and mitigating data discrepancies.

o Improved the reliability of critical business insights and reduced job failures arising from data issues by 45%.

• Worked on a data migration project to migrate data from Siebel to Hadoop to improve the performance and scalability.

• Led initiatives for Visa employees' credit card expenses, emphasizing data enrichment for comprehensive insights and seamless delivery to downstream applications.

• Implemented efficient data processing strategies to derive actionable insights from large datasets, contributing to informed decision-making within the legal domain.