Cloud
Pharmaceutical Data & Analytics
Type of Business: B2B Services
Location: Durham, North Carolina
Location: Durham, North Carolina
The Problem
Biopharma service offerings focused on clinical phases of the drug pipeline.
Analytics generation required pulling data from multiple modules, slowing down business decisions.
Phase 1
DISCOVER
Existing AWS ecosystem but decentralized data for each study.
Opportunity to consolidate information into one comprehensive
report and dashboard.
Phase 2
ROLLOUT
Built a central reporting platform on Amazon Redshift which
enabled automated data -entry for field users.
Deployed AWS Glue to automate resource configuration.
Deployed AWS Glue to automate resource configuration.
Phase 3
OPTIMIZE
Leveraged Amazon QuickSight to speed up insight delivery to sales teams and Customers
The Impact
Lowered time spent on every step of the data pipeline, from entry to insight delivery.
Solution integrated with the rest of the pre-existing AWS ecosystem.
Financial Cloud Migration
Type of Business: B2C, Consultant-driven sales
Location: Dallas, Texas
Location: Dallas, Texas
The Problem
Organization setup on classic experience with generic page layouts.
Direct impact on sales pipeline due to slow delivery of leads and analytics.
Phase 1
DISCOVER
Low user productivity due to slow data streams caused by repetitive calls.
Low customer engagement due to lack of mobile App.
Low customer engagement due to lack of mobile App.
Phase 2
ROLLOUT
Adopted Onsite/Offshore Model for cost and time efficiency.
Developed initial framework for mobile App.
Migrated Classic Code Base into Lightning Experience.
Developed initial framework for mobile App.
Migrated Classic Code Base into Lightning Experience.
Phase 3
OPTIMIZE
Continuous Gap Analysis during R&D to better inform Feature development.
Increase client collaboration to avoid technical debt and drive further efficiency.
Increase client collaboration to avoid technical debt and drive further efficiency.
The Impact
User productivity improved due to faster information flows through the CRM platform.
Increased collaboration between sales and IT teams.
Better customer engagement on the App.
Healthcare Cloud
Type of Business: B2C, Consultant-driven sales
Location: Boston, MA
Location: Boston, MA
The Problem
Millions of records of data, highly proprietary codebase.
Slow, insecure data pipeline and low API integration.
Phase 1
Discover
App performance was poor due to using default Azure tools and libraries.
No 2FA for data access and misconfigured permission management system.
No 2FA for data access and misconfigured permission management system.
Phase 2
Rollout
Modernized and developed Azure cloud-native application with microservice architecture.
Developed scalable, self-sufficient and resilient apps with Azure service fabric and Kubernetes.
Developed scalable, self-sufficient and resilient apps with Azure service fabric and Kubernetes.
Phase 3
Optimize
Test and develop 2FA to secure Azure Directories.
UI upgraded with the Angular Material framework.
UI upgraded with the Angular Material framework.
The Impact
User productivity improved due to faster information flows.
Better customer engagement due to faster record processing times.