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8 cases found.
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.
- By
Reference 6626
Published 03 Dec 2020
Topic Strategy
Region Global
Industry Financial Services
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.
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.
- By
Reference 6626
Published 03 Dec 2020
Topic Strategy
Region Global
Industry Financial Services
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.
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.
- By
Reference 6626
Published 03 Dec 2020
Topic Strategy
Region Global
Industry Financial Services
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.
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.
- By
Reference 6626
Published 03 Dec 2020
Topic Strategy
Region Global
Industry Financial Services
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.
With a focus on China’s biggest internet companies, Alibaba and Tencent, the case study describes their respective histories, fintech subsidiaries and platform-based ecosystems.
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Reference 6588
Published 22 Jul 2020
Topic Strategy
Region Asia
Industry Financial Services, Internet, Banking
With a focus on China’s biggest internet companies, Alibaba and Tencent, the case study describes their respective histories, fintech subsidiaries and platform-based ecosystems.
The case discusses different steps which Mastercard has followed in its digital transformation journey. They involve opportunity framing, creating innovation pathways, finding digital transformation opportunities, and innovation with partners within adaptive ecosystems.
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Reference 6348
Published 26 Feb 2018
Topic Strategy
Region Global
Industry Financial Services
The case discusses different steps which Mastercard has followed in its digital transformation journey. They involve opportunity framing, creating innovation pathways, finding digital transformation opportunities, and innovation with partners within adaptive ecosystems.
The case discusses different steps which Mastercard has followed in its digital transformation journey. They involve opportunity framing, creating innovation pathways, finding digital transformation opportunities, and innovation with partners within adaptive ecosystems.
- By
Reference 6348
Published 08 Apr 2022
Topic Strategy
Region Global
Industry Financial Services
The case discusses different steps which Mastercard has followed in its digital transformation journey. They involve opportunity framing, creating innovation pathways, finding digital transformation opportunities, and innovation with partners within adaptive ecosystems.
By late 2014, Easypaisa, a mobile financial service (MFS) that enabled financial transactions through a mobile phone, had 54% of the MFS market, and was a leader in both over-the-counter (57%) and mobile accounts (75%). However, its OTC market share had dropped precipitously from 88% in the first quarter of 2013 to 62% by the end of 2014.
- By
Reference 6199
Published 26 Sep 2016
Topic Strategy
Region Asia
Industry Telecommunications, Financial Services
By late 2014, Easypaisa, a mobile financial service (MFS) that enabled financial transactions through a mobile phone, had 54% of the MFS market, and was a leader in both over-the-counter (57%) and mobile accounts (75%). However, its OTC market share had dropped precipitously from 88% in the first quarter of 2013 to 62% by the end of 2014.