Issues (Risk) Correlation & Consolidation Analysis
Issues (Risk) Correlation & Consolidation Analysis Back Objective Each of the issue description in the risk management network was compared against each others to Compute the similarity of the descriptions Flag the descriptions that has a similarity score above a specific threshold for further review and analysis Ability to compare the issue similarity within / […]
Hybrid Cloud Analytics
Hybrid Cloud Analytics Back Objective Develop a 2 year strategy and phased roadmap with a central vision and foundation to ensure that future business needs for data and analytics are met Industry: Healthcare Wholesaler Services: Transformation Enablement Technology: Data Architecture Assessment Increased revenue due to improved insights into customer behavior. Improved margins via insights into automation, inventory, and warehouse operations. […]
Data Strategy Implementation
Data Strategy Implementation Back Objective Implement a common data layer in EDL following the best practices of AWS and Databricks to ensure that current and future business needs for data and analytics are met across the various enterprise teams. Industry: Agriculture and Construction Machinery Manufacturing Services: Transformation Enablement Technology: Data Architecture and Data Management Increased sales volume by […]
ML/NLP for Risk Mitigation & Quality Control
ML/NLP for Risk Mitigation & Quality Control Back Objective Our Risk Identification and Quality control framework is an approach with machine learning and natural language processing to prepare enterprises to identify challenges proactively and address them on an ongoing basis. Industry: Financial Services – Banking Services: Technology Innovation Technology: ML/NLP Analytics Reduced overall human capital costs […]
Automated Issue Mapping
Automated Issue Mapping Back Objective The issues stemming from multiple systems and associated domains need to be mapped the corresponding Domain/class. This will eliminate the human manual mapping process and the need for multiple hierarchical review processes and accurate reporting on time. Industry: Financial Services – Banking Services: Technology Innovation Technology: ML/NLP Analytics Reduction in human […]
Scaling Enterprise Analytics
Scaling Enterprise Analytics Back Objective Assess the client’s AI/ML platform needs and gaps to recommend solutioning approaches that would enable their strategic goals of data and AI/ML models monetization. Industry: Global Life Sciences Company Services: Strategic Advisory Technology: Analytics Center of Excellence Improve business agility to respond to market/ competitive threats and regulatory demands. Respond […]
Customer Intelligence
Customer Intelligence Back Objective Provide customer intelligence to assist the bank’s objectives of increasing market share through x/up-sell, targeted prospecting and driving customer value and growth Industry: Commercial Banking Services: Transformation Enablement Technology: Unsupervised Learning Revenue increase of 15% through enhanced customer insight Our Client Our client is a regional financial institution who provides a […]
Sales and Operations Planning
Sales and Operations Planning Back Objective Improve on the current sales forecast process, to support robust top-line business planning, reduce forecast/ prediction errors at lower granularities and, exhibit capability of AutoML solutions to scale the process across customer/ channel segments. Industry: Healthcare – Wholesaler Services: Technology Innovation Technology: Sales Forecasting Enabled daily sales forecasting cadence […]
Safety & Soundness Risk Analytics Platform
Safety & Soundness Risk Analytics Platform Back Objective Develop a scalable data analytics platform, that automates critical safety and soundness dashboards and alerts, while laying the foundations for the evolution to predictive and prescriptive decisioning. Industry: Financial Services – Commercial Banking Services: Technology Innovation Technology: Unified Risk Analytics Platform Reduced potentials losses associated with risk […]
Data Strategy
Data Strategy Back Objective Develop a data strategy and 2-year phased roadmap with a central vision and foundation to ensure that future business needs for data and analytics are met Industry: Manufacturing Services: Strategic Advisory Technology: Data Architecture and Data Governance Increased revenue and profit margins due to better conversion rates, dealer effectiveness, probability to […]
