Our clients have taken various paths in leveraging analytics, data science, analytics engineering, and artificial intelligence.
The following are example case studies, illustrating typical client results:
Fortune 100 international financial services firm
- Challenge: Transform firm’s global anti-money laundering (AML) and Know Your Customer (KYC) controls program
- Results: Developed and implemented comprehensive enterprise-wide AML/KYC program including:
- Customer risk ranking
- KYC management reporting
- Onboarding workflow enhancements
- Customer periodic reviews
- Customer screening for political exposure, negative news, and sanctions
- Updating firm’s global AML/KYC policies and procedure
- Challenge: Ensure consistency of evaluating AML customer risk enterprise-wide
- Results: Developed methodology to create innovative and industry-leading customer risk ranking capability including:
- Methods for applying statistical and machine learning techniques to create industry solutions requiring transparency and traceabilityCollaborated with AML Compliance and IT teams to design, develop, and deliver enterprise-wide utility
- Challenge: Fragmented customer data activity inhibits firm’s ability to evaluate customer risk comprehensively
- Results: Worked with outside vendor to integrate multiple disparate data systems to enable single view of customer and account activity for AML investigatory analysis
Fortune 150 oil refiner and marketing company
- Challenge: Enhancing capabilities of internal analytics teams with latest in data science
- Results: Delivered Fundamentals of Data Science training to IT, analytics, and business analytics professionals as organization moves into advanced data science
Fortune 100 American multinational technology conglomerate
- Challenge: Increase adoption of IT-provided data and analytics services to business units
- Results: Created community of predictive analytics business partners including:
- Promoting use of predictive analytics among business analyst teams
- Identifying approaches to connect IT and business groups for more integrated operations
- Gaining insights into various business operations, such as sales, operations and marketing
- Increasing engagement among business analysts by over 200%
Leading California-based public healthcare agency
- Challenge: Improve the agency’s capability in generating data-driven insights
- Results: Assisted client in standing up data science capability including:
- Hadoop-based infrastructure and Data Science center of excellence
- Recommendations for operationalization, scaling, management, deployment, and continuous improvement of automated detection and decision analytics technologies
- Demonstrated capability to identify durable medical equipment (DME) fraud claims
Top 5 US bank
- Challenge: Enhancing bank’s ability to mitigate money laundering risk associated with banking customers
- Results: Developed comprehensive and integrated advanced analytics strategy including:
- Assessment approach of third party data sources in mitigating customer risk
- Methodology for using machine learning approaches for detecting suspicious activity and assigning customer risk in AML compliance programs
- Consistency with regulatory expectations and enabling transparency in alert disposition and customer due diligence decision making
Global Fortune 100 multinational technology and engineering company
- Challenge: Anticipate industry changes due to evolution in urban mobility
- Results: Develop technical requirements relating to big data and analytics for city mobility platform, analyzing urban patterns of life behavior
Fortune 150 global network serviced provider
- Challenge: Aligning capabilities of IT and analytics in rapidly changing corporate environment
- Results: Advised IT and advanced analytics organization on the following:
- Optimal organizational approach when affected by budget reductions, hiring freezes, personnel changes, and business unit restructuring
- Agile strategy development to enable digital transformation, institute consistent data governance standards, and accommodate evolving technologies
British multinational banking firm
- Challenge: Assess adequacy of bank’s AML transaction monitoring program
- Results: Conducted detailed evaluation of AML program including:
- Deep dive review of AML transaction monitoring system
- Recommendations for enhancements and improvements
Association of major Fortune 500 CAOs
- Challenge: Tracking and understanding the value and ROI of analytics
- Results: ROI and business partnership strategies including:
- How to calculate the ‘return’ part of the ROI so that business partners and CFOs believe the numbers
- How to ‘share the credit’ of successful analytics projects with partners in IT and business
- Techniques that make the ROI discussions more effective/successful
Information Management Solutions developer
- Challenge: Machine learning and AI for smarter performance
- Results: Specific approaches for:
- How organizations can leverage ML and AI to make smarter performance decisions
- Doing so in environment with decrease in both human and technology resources
International office furniture manufacturer
- Challenge: Where to start in employing artificial intelligence and machine learning
- Results: Developed several success stories regarding AI including:
- Where to start
- Providing training to senior leadership
- Setting appropriate expectations
- Defining organizational changes for rollout
Fortune 50 multi-national consumer goods corporation
- Challenge: Automating internal financial controls
- Results: Developed approaches for moving from manual to automated processes including:
- Mitigating human error and false positives
- Methods for rolling out these new processes
- Identifying ways to make the cultural shift to continuous and automated control
- Challenge: Building a toolkit for business analysts
- Results: Strategies for incorporating commercial and open source tools for data science teams including:
- Being adaptable to rapidly changing toolsets while establishing standards across teams
- Leveraging innovation while mitigating risks associated with open source languages and libraries
Fortune 100 American petroleum refining company
- Challenge: Keeping up to speed on the latest AI and data science technologies
- Results: Roadmap for supporting and enhancing analytics team capabilities including:
- Prerequisites for application of AI
- Measurements for success for AI solutions
- Skillsets and approaches to keep team advancing and adaptable to evolving marketplace
New Zealand-based software company
- Challenge: Gaining fresh ideas and insights regarding data science best practices
- Results: Strategy for attracting members to a data science advisory board
Fortune 100 multinational conglomerate
- Challenge: Identifying best areas for analytics investment
- Results: Strategies for determining return on investment including:
- How to develop strong partnership with business stakeholders
- Prioritizing projects
- Focusing on stakeholder champions, quick wins, and success stories to secure greater adoption
Major US-based international pulp and paper company
- Challenge: How to leverage cloud computing to support analytics development
- Results: Approaches for enabling teams with latest tools including:
- Being adaptable to rapidly changing toolsets, such as open source, while establishing standards across teams
Telecommunications optical transmission equipment manufacturer
- Challenge: Improve alert analytics capability to predict network equipment failure more accurately
- Results: Demonstrated predictive network intelligence capability including:
- Identifying potential equipment failures, laying groundwork for smart and self-healing networks
- Creating metrics predicting probability of failure for each network component
American regional banking firm
- Challenge: Identify sources of banking systems leading to inaccurate assessment of user fees
- Results: Conducted thorough code assessment, identifying gaps and recommendations for upgrades
Top multinational payment processor
- Challenge: Ensure alignment of AML and fraud detection policies with state-of-the-art and regulatory expectations
- Results: Developed program for program assessment and provided improvement recommendations for AML and fraud reduction
Institutionally-backed fintech startup
- Challenge: Allow end-user data analyst teams to shortcut much of the data wrangling steps usually required in data science and analytics projects
- Results: Helped team stand up a data refinery platform, which included:
- Ingesting data in raw form and in multiple, disparate formats
- Building automated, easy-to-use functionality to wrangle, curate, enhance and make ready for use by end-user analysts
Get My Newest Articles In Your Inbox
Subscribe to get my latest articles from Decisions & Discovery by email.