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Anton S. Ovchinnikov

Associate Professor of Decision Sciences
Email [email protected]
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CASE STUDY

Analytics and Strategy Vignette #1: Eco-System Products for Small Business Customers

By  Anton S. Ovchinnikov,  Ilia Tsetlin
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Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

    Published 03 Dec 2020

    Reference 6626

    Topic Strategy

    Industry Financial Services

    Region Global

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    Analytics and Strategy Vignette #1: Eco-System Products for Small Business Customers

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    Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

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      CASE STUDY

      Analytics and Strategy Vignette #2: Churn of Call-Centre Agents

      By  Anton S. Ovchinnikov,  Ilia Tsetlin
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      Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

        Published 03 Dec 2020

        Reference 6626

        Topic Strategy

        Industry Financial Services

        Region Global

        View

        Analytics and Strategy Vignette #2: Churn of Call-Centre Agents

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        Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

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          CASE STUDY

          Analytics and Strategy Vignette #3: Analytical Projects with Multiple Technologies

          By  Anton S. Ovchinnikov,  Ilia Tsetlin
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          Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

            Published 03 Dec 2020

            Reference 6626

            Topic Strategy

            Industry Financial Services

            Region Global

            View

            Analytics and Strategy Vignette #3: Analytical Projects with Multiple Technologies

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            Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

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              CASE STUDY

              Analytics and Strategy Vignette #4: Analytical Projects with Multiple Steps

              By  Anton S. Ovchinnikov,  Ilia Tsetlin
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              Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

                Published 03 Dec 2020

                Reference 6626

                Topic Strategy

                Industry Fine Art

                Region Global

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                Analytics and Strategy Vignette #4: Analytical Projects with Multiple Steps

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                Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

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                  CASE STUDY

                  Analytics and Strategy Vignette #5: Analytical Projects with Multiple Steps

                  By  Anton S. Ovchinnikov,  Ilia Tsetlin
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                  Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

                    Published 03 Dec 2020

                    Reference 6626

                    Topic Strategy

                    Industry Financial Services

                    Region Global

                    View

                    Analytics and Strategy Vignette #5: Analytical Projects with Multiple Steps

                    Add to Cart

                    Recent studies indicate that the majority (60-80%) of advanced analytics/AI projects fail, often citing “management resistance and internal politics”. However, having reviewed/supervised hundreds of such projects around the world, our experience suggests that many projects are ill-conceived and fall victim to poor analyses and pre-launch planning.

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                      CASE STUDY

                      Credit Default Modeling at Taiwan International Bank

                      By  Anton S. Ovchinnikov,  Spyros Zoumpoulis
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                      The credit card unit of a commercial bank needs to come up with a data-driven model to predict which credit customers will default.

                        Published 11 Jan 2022

                        Reference 6722

                        Topic Economics & Finance

                        Industry Banking

                        Region Asia

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                        Credit Default Modeling at Taiwan International Bank

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                        The credit card unit of a commercial bank needs to come up with a data-driven model to predict which credit customers will default.

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                          CASE STUDY

                          Integration Planning at SFB (A)

                          By  Georgina Hall,  Piyush Gulati,  Anton S. Ovchinnikov
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                          Kusha Ahmad is tasked with facilitating headcount reduction following the acquisition of the Societe Francaise de Biotechnologie (SFB) by Big American Pharmaceuticals (BAP), and the subsequent closure of the SFB office in Lyon, France. In accordance with regulations introduced in 2017, staff are entitled to a “rupture conventionnelle collective”.

                            Published 15 Nov 2021

                            Reference 6684

                            Topic Leadership & Organisations

                            Industry Biotechnology

                            Region Europe

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                            Integration Planning at SFB (A)

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                            Kusha Ahmad is tasked with facilitating headcount reduction following the acquisition of the Societe Francaise de Biotechnologie (SFB) by Big American Pharmaceuticals (BAP), and the subsequent closure of the SFB office in Lyon, France. In accordance with regulations introduced in 2017, staff are entitled to a “rupture conventionnelle collective”.

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                              Analytics and Artificial Intelligence (AI), with specific applications to: Behavioral Operations; Strategic Behavior of Consumers and Firms; Pricing Analytics and Revenue Management; Customer Lifetime Value (CLV) and Loyalty Analytics; Innovative Operations; Sustainability; Remanufacturing; Green Technology Adoption; Applications of Analytics and AI in Business, Government, and Non-Profits; Ethics of AI; Biases of Analytical and Generative AI; AI agents