Advanced Analytics Data Lab

Unlock data-driven insights and drive growth. Our lab uses advanced analytics, AI, and machine learning to solve business challenges.

Process

Our four-step approach

We follow battle proven follows processes that always aim to deliver impactful solutions:

01.

Discovery & Problem Definition

  • We collaborate with you to understand business challenges, identify key goals, and prioritize analytics opportunities

02.

Proof of Concept (POC)

  • We develop a small-scale, rapid prototype to validate the feasibility of the solution and showcase initial results

03.

Solution Development

  • Once the POC is successful, we refine and expand the solution, applying advanced analytics, AI, and machine learning to meet broader business objectives

04.

Deployment and Scaling

  • We implement the solution into your business, ensuring seamless integration, continuous monitoring, and scalability as needed
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Our approach

Our Advanced Analytics Lab addresses diverse business challenges with advanced data analytics, machine learning, and AI. We deliver value in small, manageable steps—starting with a proof of concept (POC) to quickly validate ideas and show results. This agile approach ensures continuous improvement and effective scaling to align with your business needs.

Services

Other services from this section

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    Data Visualization

    Integrate data from various systems into cohesive, interactive reports. Design dynamic dashboards for quick insights into key performance indicators.

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    Data Self-service

    Empower your organization with actionable insights by implementing advanced self-service data solutions, and integrating generative AI.

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    Consumer Analytics

    Fuel growth and improve customer experiences with our deep insights into your customers, empowering data-driven decisions.

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    Commercial Analytics

    Boost business growth with data-driven tools like demand forecasting, pricing strategies, and market segmentation for smarter decisions.

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    Supply Chain Analytics

    Optimize operations, predict demand, reduce costs, improve inventory management, and ensure timely deliveries.

Our client’s story

“The goal of the project was to conduct a detailed review of the debt valuation models used by a company in the debt collection sector. Our work included analyzing model calibration, validation, and backtesting, as well as assessing their alignment with business assumptions. The recommendations focused on improving parameters and forecasts, which optimized the valuation process and enhanced recovery predictions. The team identified key areas for improvement and determined their impact on the final valuation.”


Kazik Surala,
Head of Data & Analytics

CONTACT

Our specialists

Kazik Surała
Head of Data & Analytics
Krzysztof Surowiecki
Senior Manager Commercial Analytics

Get in touch

You’d like to submit a request for proposal (RFP) or simply leave us a quote?