Our team helps retail organizations optimize their supply chain, streamline operations and meet and exceed customers’ needs.
How our data solutions support our retail clients
Advisory
- Departmental and organizational data strategies
- Data management (MDM) and metadata strategy
- Data warehouse design
- Architecture reviews
- Project roadmaps
- Machine learning operations (MLOps).
Data engineering
- Manage data architectures including automated ETL pipelines, data marts, data warehousing, data lakes, data modelling and data integration
- Implement data infrastructures by hosting internal and external (vendor) data in one repository or executing big data engineering
- Develop end-to-end migrations including cloud migrations (AWS, Snowflake, Azure, GCP) and ERP legacy system migrations/transformations
- Deploy data governance and quality policies that include frameworks, data profiling, data cleansing and data wrangling.
Data science
- Build explanatory models that can pinpoint the cause of sales gains and losses, understand ROI across media channels and support personalized marketing
- Utilize predictive models that support inventory optimization and automation, price optimization, store network optimization, highlight and make consumer behaviour predictions
- Use NLP models to understand customer behaviour, optimize recommendation systems, track brand sentiment and detect fraud.
BI and analytics
- Implement AB testing frameworks
- Operate product analytics to optimize product performance and track customer behaviour
- Perform customer sentiment analysis
- Predict customer lifetime value (CLV)
- Customer segmentation and customer experience insights
- Create ROI interactive dashboards that highlight industry trends, the competitive landscape, price comparisons and budget and scenario planning
- Support the visualization of your data across operations, supply chain and inventory, third party data, customer behaviour and internal and external media data.
The retail sector
Our work in this sector can help you with:
Data architecture
ProCogia designs custom architectures that control how your data is collected, stored, merged and utilized.
Our experts can help you with:
- Automated data ETL
- Data marts
- Data warehousing
- Data lakes.
Data infrastructure
ProCogia will identify your data requirements and build a sturdy and scalable data infrastructure to improve cross-functional partnerships between internal teams and stakeholders.
We operate a cloud-first approach to ensure the infrastructure is fully integrated.
End-to-end migrations
ProCogia takes full accountability for powerful end-to-end data migration that supports retail clients to utilize their data.
By migrating data from an existing storage system to another, processes will streamline and the quality of your data will improve significantly.
Data governance and quality
In retail, it is essential that your data is consistent, compliant, and high quality. We will support your business to develop internal data policies that align with regulations. ProCogia’s data experts will assess your data’s quality through:
- Data wrangling
- Data monitoring
- Data profiling
- Data cleansing.
Modelling
ProCogia uses modelling to outline data points and structures, resulting in improved data quality, enhanced performance and alignment within your organization. We provide:
- Advanced statistical analysis and modelling
- Feature engineering
- Model training
- Model evaluation.
ProCogia created a bespoke demand-planning engine that corrected stock difficulties and resulted in estimated annual savings of $30m to $50m.
Who we work with
Our team of data specialists will unleash the powerful potential of your data.
Get in touch
Let us leverage your data so that you can make smarter decisions. Talk to our team of data experts today or fill in this form and we’ll be in touch.
