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Data Science

Data is valuable when insights are used and have a real impact on budgets, processes and strategies. From finance to HR, from logistics to marketing: we use data-based models, forecasts and simulations to support specialist departments and company management in making fact-based decisions.

  • Lavera Naturkosmetik
  • Allianz
  • Fresenius
  • Douglas
  • Aachener Grundvermögen
  • Fielmann
  • logo redbull 6be4fd8c
  • Telefonica
  • logo gore 276ad9c2
  • Roche
  • logo mnet 4e476502
  • When experience and gut feeling reach their limits, data science begins

    What factors really drive our personnel costs? How reliable are our sales forecasts – and what happens if raw material prices rise or deliveries are delayed? And which target group segments have the highest potential?

    Data science uses innovative methods and models to help make complex relationships visible, identify patterns and find well-founded answers to strategic and operational questions. Whether in finance, HR, logistics or marketing: we bring data and specialist departments together – and have years of experience in translating insights into activities that are relevant to competition.

    Root Cause Analysis & Modeling

    What drives our key figures and results? How are the influencing factors of different teams connected? Whether it’s turnover, lack of personnel capacity or delivery delays: we systematically analyze various influencing factors and correlations in your company. Using statistical modeling and multivariate methods, we reveal which factors are really decisive – for controlling, HR, logistics, marketing and more.

    Marketing Mix Modelling
    Forecasting

    Forecast Models & Forecasting

    How do we make decisions today that will still make sense tomorrow? We use advanced forecasting models to support specialist departments in forward-looking management – for example by forecasting personnel requirements, sales or cost trends, demand forecasts or churn risk analyses. We rely on valid, clean data and practice-oriented modeling that can be integrated into your existing decision-making processes. This makes forecasting a real support for you to gain planning security in dynamic times.

    Simulations & Scenario Analysis

    How will my company develop if the framework conditions change? Will I still be able to achieve my goals? Data science can be used to simulate various assumptions and external influences on your company’s success – such as price increases, changes in demand or staff shortages. We help you to recognize possible developments at an early stage and run through realistic options.

    Simulation
    Segmentierung

    Segmentation & Clustering

    What patterns are there in our data that affect our company performance and different teams? We identify relevant patterns and groups in your data – e.g. customer segments, delivery rate types or locations with similar performance. This allows you to communicate in a more differentiated way, manage in a more targeted manner or plan resources better.

    Anomaly Detection & Early Warning Systems

    How do we recognize anomalies early on – before they become a problem? We build for Finance, Controlling, Purchasing, Marketing, Sales & Co. Data science-supported monitoring models that automatically detect deviations from normal behavior – for example in key financial figures, stock levels, conversion rates or customer loyalty. This gives you security and the ability to act.

    Frühwarnsysteme
    Hopmann Pfeil weiß

    Workshop: Data Science

    In our interactive workshop “Data science in practice”, we work with you to analyze goals, questions and existing data sources in individual or several specialist areas of your company. We show which potential can be tapped into through data science, prioritize meaningful use cases and define concrete next steps – strategically, professionally and technically. We also offer individual training formats via the Hopmann Academy for sustainable in-depth training.

    HMA Jörg Hopmann

    “This project is a great example of the potential that can be tapped into thanks to our many years of expertise in the financial sector. Although the initial focus was only on digital analytics, we saw the potential for the client and advised them on an eye-to-eye basis. They now have a modern data-driven marketing framework in place that provides them with the best possible support to achieve their goals – with sustainable, measurable success.”

    Jörg Hopmann, CEO
    Hopmann Marketing Analytics

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