Retail Optimization

Project Details

  • Machine Learning, Predictive Modeling & Advanced Data Science techniques to provide optimization models.
  • Collaboration with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mined & analyzed data from company databases to drive optimization & improvement of product development, marketing techniques & business strategies.
  • Developed processes & tools to monitor & analyze model performance & data accuracy.

Business Outcomes

  • Identified the optimal way to determine what products to remove or add not to impact sales, profitability & metrics.
  • Reduced the amount of space they had in store while not significantly impacting metrics.
  • Provided Predictive Modeling to increase & optimize customer experiences, revenue generation, advertising targeting & other business outcomes.

Technical Enterprise Information Management

Project Details

  • Provide a roadmap for data governance & establishment of Information Governance Metadata Management practices.
  • Technical & data leadership with a special focus on providing guidance to internal Enterprise Information Management, Enterprise Architecture & Application Development teams.
  • Creation of a new information lifecycle for data platform initiatives.
  • Model transformations between RDB & MongoDB data models.
  • Assistance in the design of the data microservice layer for the new data platform.

Business Outcomes

  • Established Data Governance & built self-sustaining processes to ensure future compliance across multiple business lines.
  • Introduced & adopted new agile practices within the Data Governance process, shortening project lifecycles, increasing collaboration & adding visibility to their programs.

Product Innovation for Retail Pharmacy

Project Details

  • The client required a consulting partner with expertise in the healthcare and pharmacy domain that could innovate, and test solutions driven by analytics.
  • Partnered with cross-functional teams and vendors to deliver initiatives to patients.
  • Drive day-to-day execution of these new initiatives and provide critical insights to guide decisions on future enhancements and net new functionality to accelerate growth.
  • Analytics, testing, and scaling of new products and development and run targeting logic/queries.
  • Carefully track results to determine the value (contact vs control) and initiative success.

Business Outcomes

  • Ongoing effort and collaboration with the client team as the client continues to invest in this initiative because of the ROI outcomes.
  • Accelerated growth with Swoon Consulting driving day-to-day execution of new initiatives and providing critical insights that guided decisions on future enhancements and net new functionality.

Workforce Analytics Modernization

Project Details

  • The client required a strategic partner the with ability to quickly supplement the existing team with outside expertise to support vaccine distribution efforts by utilizing data to take a hypothesis-driven approach to identify, forecast, and solve for business opportunities.
  • Provided a Swoon Consulting team; a Product Owner, Data Scientist, and Data Analysts to supplement full-time staff and delivered advanced modeling capabilities.
  • Developed actionable insights around the workforce and improved processes for reporting.
  • Researched data sources to better understand how data can be utilized to improve pharmacy operations.

Business Outcomes

  • Developed a Tableau dashboard to deliver labor insights to business and field partners.
  • Documented and improved internal Workforce Management processes.
  • Provided increased capability of advanced analytics and Machine Learning modeling for the team.

Loyalty and Personalization Program 

Project Details

  • The pilot had been rolled out & the client team was at 2.5% of the total completion of the initiative & didn’t have the people & expertise to accomplish their timeline goals
  • Collaborated with the business & led a team of advanced Data Engineers to design, build, test, productionalize & support the Front Store Personalization Engine
  • Designed a highly scalable & extensible Big Data platform that enabled industrializing collection, storage, modeling & analysis of massive data sets from heterogeneous channels

Business Outcomes

  • Caught up to the initial lagging project timeline by quickly building out applications & pipelines & establishing modern DevOps & release processes to speed up development cycles
  • Resulted in increased revenue & an improved curated & personalized customer experience

Enterprise Data Lake

Project Details

  • Created an enterprise staging environment by enabling interfaces to new medical device software
  • Architected & developed a data pipeline to move data from raw zone into conformed catalog entities
  • Created user reporting environment to enable access to the newly created Data Lake
  • Managed & forecasted storage & hardware requirements to make recommendation for the smooth transition into daily operations
  • Created continuous integration, delivery & deployment (CICD) process to the integrated data pipeline changes based on modifications to the medical devices

Business Outcomes

  • Creation of Data Lake to host enterprise data enabled the client to study the behavior of its medical equipment & make necessary changes to improve their functionality
  • Improvement in devices reflected in increase device revenue by over 15%

Big Data & Machine Learning

Project Details

  • Developed prototypes & proof of concepts for the selected solutions & implemented complex Big Data projects
  • Collaboration with architecture design, data modeling & implement Big Data platforms & analytic applications
  • The solution included a DevOps approach to enable Big Data, batch, & real-time analytical solutions leveraging emerging technologies

Business Outcomes

  • Designed & implemented end-to-end solutions using ML, optimization & other advanced computer science technologies & live deployments

Data Migration

Project Details

  • Redesign & resolution of the product hierarchy discrepancies by working with the business & user base to confirm items within the category & sub-category challenged areas
  • Design & architect the data staging environment for incoming artificial intelligence (AI) & existing data in the ePBCS application
  • Marrying AI & user data to get the data sets to a common granularity
  • Integrate ePBCS Cloud application by designing & creating data pipelines
  • Validate the current ePBCS KPIs with predicted model KPIs

Business Outcomes

  • User predictions became aligned & AI budget predictions were over 80% accurate
  • Fully functional & reliable AI prediction models with user prediction accuracy improved by learning the prediction techniques

Digital Platform & Connectivity

Project Details

  • Collaboration with client teams to understand the current state & project requirements from product management groups, assess the optimal data solution, produce artifacts & articulate project vision to other teams
  • Develop conceptual & logical solutions for data acquisition, data models & pipelines
  • Provide technical guidance to client teams – data designers, engineers, & developers

Business Outcomes

  • Successfully performed a large data warehouse (Snowflake) implementation, addressed gaps in their existing technology stack, brought in new data sets & provided new data solutions for product development teams
  • Produced architecture & design artifacts

Data Optimization

Project Details

  • Identified opportunities for leveraging data throughout the company
  • Mined, analyzed, cleaned up & combined disparate databases into one database
  • Developed & monitored custom data models, algorithms & predictive modeling
  • Developed processes & tools to monitor & analyze model performance & data accuracy

Business Outcomes

  • Leverage data to drive critical business solutions
  • Optimized & improved product development, marketing techniques & business strategies
  • Improved customer experiences, revenue generation & advertising targeting