Business insights ready to decide.
We turn your data into business insights ready to decide. The pipeline, model, visualization, and APIs run behind the scenes; you get the answer.
Let's talk
Information split across systems that don't talk, impossible to analyze together.
Manual, slow, error-prone reports that arrive after the decision has passed.
Each team reports different numbers and no one knows which is right.
Lots of accumulated information, but no clear insights to act on.
We design and build the full analytics chain: data extraction, cleaning, and integration, KPI and statistical models, interactive dashboards, reports, and data services. AI accelerates insight generation and quality.
Engage us at the level you need: advisory only, implementation, or ongoing operation. Each level has its own methodology and deliverables.
When you need clarity before building. We define the business questions to answer, the data sources needed, and the high-level analytics architecture, with a roadmap. With no obligation to execute afterwards.
DeliverableBusiness questions, data sources, and high-level analytics architecture.
When you need the solution in production. We build the data pipelines, KPI and statistical models, dashboards, and data services, integrated with your sources and deployed to production.
DeliverablePipelines, models, dashboards, and data services in production.
When you need analytics to stay current. We operate the pipelines, maintain the dashboards, and evolve the models as the business and data change.
DeliverablePipeline operation and maintenance of dashboards and models.
Bank
A profitability model that computes net result by client, product, account manager, and line of business, with a capital model, pool rate, and FX handling.
ChallengeThere was no reliable, unified view of profitability across the different business dimensions.
ResultNet profitability by client, product, account manager, and line of business, at month close.
Bank
A statistical credit risk scoring model to support the risk team's decisions.
ChallengeRisk decisions lacked a consistent, data-driven scoring model.
ResultA risk scoring model that standardizes and supports the credit decision.
Development bank
Assessment of the business intelligence platform and design of a historical information archiving system.
ChallengeThe BI platform needed an assessment and a strategy for historical information.
ResultBI platform assessment and design of the historical archiving.
Sports scouting agency
A machine learning model to evaluate and score elite football players from their performance data.
ChallengeEvaluating players relied on scattered criteria, with no data model to score them.
ResultA model that scores players based on performance data.