Education / research / innovation Energy

Data science

Every day, institutions in the private and public sectors generate and collect large volumes of data. However, in many cases, reliable decision-making depends on the efficient and effective analysis of the fundamental data as well as on the creation of suitable models and evaluations. econcept provides support to institutions and organisations when it comes to working with their data, deploying solution-focused, quantitative survey and evaluation methods and developing tailor-made tools for the purpose. Our work in this area draws on our many years of experience in processing and programming complex data structures as well as our diverse expertise in the use of official statistics and administrative data.

We process data according to the specific needs of the institutions we work with and analyse them in respect of the issues of interest. For the purposes of evaluating the data, we employ both descriptive methods and inferential and exploratory statistics.

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Models provide abstractions of reality and help to analyse complex relationships and arrive at a prognosis. We develop tailor-made models to deal with the specific needs of our clients, for subject matter that ranges from the simple to the highly complex.

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Reference project: Modelling and prognoses

Kosten und weitere Auswirkungen energiepolitischer Szenarien

Was kostet eine konsequente Energiewende für Haushalte und Unternehmen im Vergleich zum Status Quo? Eine umfassende Modellierung der schweizerischen Energiebereitstellung liefert die Antworten.

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Beat Meier

Energy and agrarian economics, energy efficiency, renewable energies, climate protection

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Tools allow us to use data in specific ways. We develop tailor-made tools for our clients using Excel VBA or as standalone applications.

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  • Data science, Economy, Social security and public health

    Fehlanreize im Steuer- und Sozialsystem

    Im Steuer- und Sozialleistungssystem des Kantons Zürich wurden Fehlanreize identifiziert (keine Einkommensanreize bei (Mehr-) Arbeit) und Verbesserungen vorgeschlagen.

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