Decision-ready dashboards and analytics — productized from real engagements, deployed on your data, adapted to your processes. Not generic SaaS. Not custom one-offs. Reusable solutions with the shape of work we've already proven.
A delivery model that sits between custom builds and off-the-shelf SaaS — combining the speed of pre-built patterns with the fit of tailored implementations.
Each accelerator is a battle-tested pattern from a real engagement — with the data model, KPIs, and reporting logic already proven in production. We don't start from scratch and we don't sell you someone else's process.
Productized doesn't mean rigid. Every accelerator is deployed on your source systems, your master data, your business rules. The pattern is reused; the implementation is yours.
What we deliver is built to run — with governance, quality controls, documentation, and a clean handover. Not a proof-of-concept that needs to be rebuilt for production.
Faster than custom. More relevant than off-the-shelf. Closer to the way decisions are actually made in your business.
Every accelerator on this page started as a real customer engagement — and got productized once we'd proven the pattern.
We solve a real problem for a real customer. The KPIs, the data model, the reporting logic — all proven against actual operational use, not against a brief.
We separate the reusable parts (data model, transformation logic, KPI definitions, dashboard structure) from the customer-specific parts (master data, security, branding, business-specific rules).
The reusable pattern becomes an accelerator: deployable on a new customer's stack with a defined adaptation effort, not a full custom build.
Each new deployment improves the pattern. New use cases, edge cases, and integrations feed back into the accelerator — making every customer benefit from prior engagements.
No accelerator on this page exists without a real engagement behind it.
Ten named patterns we deploy as accelerators. Each is backed by real case studies — click any pattern to see the engagements that shaped it.
Integrated dashboards unifying manufacturing, warehouse, logistics, and supply chain into one decision-ready KPI model. Real-time visibility for operations teams; harmonized aggregation for executive views.
Based on real engagements in manufacturing, FMCG, and cross-functional enterprise teams.
See related case studiesUnified cost model across multiple 3PL providers — consolidating inbound, storage, handling, picking, co-packing, and outbound costs into one harmonized view. Provider benchmarking, geographic analysis, cost-per-ton tracking.
Based on real engagements with global FMCG manufacturers.
See related case studiesAI-assisted similarity engine identifying duplicate and near-duplicate materials across plants and ERPs — quantifying consolidation savings per cluster, supporting steward review workflows.
Based on real engagements at FMCG and manufacturing scale.
See related case studiesUnified packaging footprint, recyclability, and regulatory compliance across multiple markets — connecting suppliers, materials, CO₂ data, and Plastic Tax calculations into one cockpit. CSRD-ready, EPR-ready, multi-market.
Based on real engagements with leading European FMCG.
See related case studiesMarket share platforms consolidating Nielsen, IQVIA, and similar external research data with internal ERP — aligning external market hierarchies with internal master data for like-for-like comparison and growth decomposition.
Based on real engagements in FMCG and pharma/nutrition.
See related case studiesSales analysis platforms enabling exploration of customer and product data by region, channel, and category — uncovering growth opportunities through interactive dashboards with high data accuracy and consistency.
Based on real engagements in FMCG.
See related case studiesBronze → Silver → Gold data warehouse pattern applied to source systems — SAP, ERP, CRM, marketing platforms, custom applications. Reusable business entities, KPI-ready data marts, governance built in.
Based on real engagements with global manufacturers.
See related case studiesMulti-country, multi-subsidiary BI consolidation — replacing fragmented local reporting with one harmonized ERP/BI ecosystem. Standardized reporting, reduced operational costs, multi-region rollouts.
Based on real engagements at FMCG group scale.
See related case studiesPre-built integration patterns for hard-to-access data sources — GfK consumer goods data, SafetyCulture inspection data, SharePoint via Microsoft Graph, supplier portals, and more. Secure authentication, automated discovery, scalable ingestion.
Based on real engagements across FMCG, manufacturing, and cross-functional environments.
See related case studiesCI/CD pipelines for cloud data platforms, performance audits for Power BI and other BI tools, optimization patterns for data refresh and report responsiveness. Faster delivery with fewer incidents.
Based on real engagements across enterprise data teams.
See related case studiesThe ten patterns above represent productized work. Most engagements start somewhere else.
Your problem might not match a named pattern. That's the more common case. We start with discovery, build to fit, and — if the work proves a pattern that other customers will need — productize it for the next deployment.
Most data product engagements start with a conversation, not a catalog. Tell us what's broken, what's slow, what's invisible — we'll tell you whether one of the patterns above fits, or whether something custom is the right starting point.