Harness Data. Drive Results.

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Overwhelmed by data that’s hard to understand and use? We transform your data into clear, actionable insights, making it easy to see trends, predict outcomes, and make informed decisions that drive real results.

Key Services and Benefits

We turn data into actionable insights.

  • Data Strategy and Consultation

    Align data initiatives with business goals.

  • Data Integration and Management

    Ensure clean, secure data handling.

  • Data Visualization and Reporting

    Create intuitive, interactive dashboards.

  • Data Science and AI

    Leverage advanced analytics and machine learning for optimization and automation.

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    Data Strategy and Consultation

    Data Strategy and Consultation

    Align data initiatives with business goals.

  • icon

    Data Integration and Management

    Data Integration and Management

    Ensure clean, secure data handling.

  • icon

    Data Visualization and Reporting

    Data Visualization and Reporting

    Create intuitive, interactive dashboards.

  • icon

    Data Science and AI

    Data Science and AI

    Leverage advanced analytics and machine learning for optimization and automation.

Success Stories

See how we create delightful-to-use web portals, banking systems, and mobile apps for the most innovative global companies. 

Outside-of-the-box approach to Credit Agricole’s mobile app design

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“It was thanks to the joint work with Efigence and an orderly process that it was possible not only to achieve the set goals, but also to apply such innovative solutions in the banking application.” 

Katarzyna Tomczyk-Czykier

Director of Innovation and Retail Banking Digitalization, Tribe Owner at Credit Agricole Bank Polska

Outside-of-the-box approach to Credit Agricole’s mobile app design

See case study

“It was thanks to the joint work with Efigence and an orderly process that it was possible not only to achieve the set goals, but also to apply such innovative solutions in the banking application.” 

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Katarzyna Tomczyk-Czykier

Director of Innovation and Retail Banking Digitalization, Tribe Owner at Credit Agricole Bank Polska

See case study

How It Works

  • 1

    Assess

    We start by assessing your current data setup to identify gaps and opportunities. This helps us understand your needs and set a clear direction.

  • 2

    Strategize

    We develop a tailored data strategy that aligns with your business goals. This ensures your data efforts are focused and effective.

  • 3

    Integrate

    We connect all your data sources into a unified system. This makes data accessible and manageable from one place.

  • 4

    Analyze

    We use analytics to turn your data into clear, actionable insights. This allows you to see patterns, predict trends, and make informed decisions.

  • 5

    Visualize

    We create interactive dashboards that present your data clearly. This makes complex information easy to understand and act on.

Tools and Techniques Used

  • Data Tools

    Azure Data Factory, Synapse Analytics

  • BI Tools

    Power BI, Tableau

  • Programming Tools

    Python, TensorFlow

Already know what tech stack you want to use in your next app? Great! Still not quite sure? Let us advise you on the best solution for your unique case.

Take the Next Step with Data and AI

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Ready to bring your digital vision to life? We’re here to turn your innovative ideas and fit them with our interfaces.

Paweł Haltof

Innovation Director at Efigence

Frequently asked Questions

  • What is the data intelligence process at Efigence?

    The data intelligence process at Efigence includes a comprehensive five-stage approach: Setup, Discovery, Concept, Production, and Post-production. We begin by defining the project scope and setting up the environment. In the Discovery phase, we assess existing data and business objectives to formulate a strategic plan. During the Concept phase, we design and prototype data solutions. The Production phase involves developing, testing, and deploying these solutions. Finally, in the Post-production phase, we provide continuous support, monitoring, and improvements to ensure optimal performance and alignment with business needs.

  • How long does it take to implement a data intelligence solution?

    The implementation timeline for a data intelligence solution at Efigence varies based on project complexity and scope. Typically, projects range from several weeks to a few months. We focus on delivering high-quality, efficient solutions within agreed timelines, ensuring that all stages—from initial consultation to final deployment—are executed seamlessly.

  • What tools and technologies does Efigence use for data analytics and AI

    Efigence utilizes a robust suite of tools and technologies for data analytics and artificial intelligence. Our key tools include Azure Data Factory for data integration, Power BI and Tableau for business intelligence, and programming languages like Python and frameworks like TensorFlow for advanced analytics and machine learning. These technologies enable us to provide comprehensive and customized solutions that meet the specific needs of our clients.

  • How does Efigence ensure seamless integration of new data solutions with existing systems?

    At Efigence, we prioritize seamless integration of new data solutions with your existing systems. Our approach involves a thorough analysis of your current IT infrastructure and data architecture. We design adaptable solutions that align with your existing technology stack, ensuring minimal disruption to ongoing operations. Our team also provides extensive testing and support during the transition phase to ensure a smooth implementation.

  • Can Efigence’s data intelligence services improve my existing digital products?

    Yes, Efigence’s data intelligence services can significantly enhance your existing digital products. By applying advanced data analytics and AI techniques, we can optimize user experience, streamline operations, and uncover valuable insights. Our services include upgrading data architectures, enhancing data visualization, and implementing predictive analytics to improve decision-making processes. This results in a more efficient, user-friendly, and data-driven digital environment.

Have more questions? We’re here to help.

Let’s Talk

Rafał Ochmański

Key Account Manager

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