Marketing and CRM
Increase marketing campaign effectiveness
- We identify the segments, channels and journeys with the strongest response potential
- We define KPIs and the pilot scope before engineering work starts
Consulting in the field of Big Data and Data Science
Diagnosis of business challenges, project options and use cases
Advisory on tools, solutions, technologies, teams and specialist profiles
Requirements formalisation, technical scope definition and investment case preparation
Pilot, MVP and demonstration design for faster decision-making
Challenges we solve through consulting
Retention
Customer churn management
- We determine which data actually helps predict churn risk early enough to act
- We build and prioritise the retention hypothesis backlog by expected business impact
Operations and supply chain
Demand forecasting
- We assess the readiness of sales, promotion and inventory data for a reliable forecast
- We shape a pilot aimed at reducing out-of-stock events and excessive inventory
Personalisation
Show only the most relevant items to each customer
- We define the signals and events required for relevant product and content recommendations
- We prepare a personalisation roadmap without unnecessary delivery debt
What we do to improve your metrics
We shape the data strategy and target architecture around your business model and constraints
We audit current systems, data quality and integration gaps that would block delivery later
We prioritise initiatives by business impact, risk, resource envelope and a realistic pilot scope
We prepare the roadmap, delivery requirements and the operating model needed to launch cleanly
Relevant reference cases we walk through in consulting
Retail / FMCG
Demand planning and inventory efficiency
- We show how sales, promotion and stock data readiness was assessed before model work began
- We break down the pilot scope for product categories and stores where impact would surface fastest
- We explain how the roadmap maps to forecast accuracy, stock cover and out-of-stock KPIs
Industrial operations
Data landscape and loss detection in production
- We show how to combine ERP, sensor, historian and manual reporting data into one delivery contour
- We explain how loss points, integration risks and platform requirements are diagnosed up front
- We provide an NDA-safe example of the target architecture and pilot sequence
Telecom / subscription businesses
Churn, segmentation and next best action
- We cover the signals and events needed for customer segmentation and early churn detection
- We show the hypothesis structure behind retention, cross-sell and personalised offer initiatives
- We connect the use case to the data landscape, BI stack and the fastest viable pilot path
Why teams choose to work with us
We start from business impact
We frame the problem through KPIs, constraints and economics, not through fashionable tooling.
We fit the scale you operate at
We work confidently with enterprise landscapes and with smaller teams that need a pragmatic launch path.
We connect business, data and IT
We align process owners, analysts, architects and delivery leads into one executable plan.
We build realistic roadmaps
We help teams cut scope correctly, define the pilot and avoid inflating the initiative too early.
We can carry it into delivery
When the case is validated, we can move from diagnosis to architecture, pilot and implementation without losing context.