Mark P. Dangelo: 2022 C-Suite Agendas Meet New Realities

The challenges of the executing against traditional business prescriptions are many—at a minimum due to changes in strategy, personnel, convention, ecosystems, innovations, and cloud (maturity). The accepted top-down agenda setting management theory of academics and consultants constructed in silos of efficiency are being called into question.

Mark P. Dangelo: 2022 C-Suite Agendas Meet New Realities

The challenges of the executing against traditional business prescriptions are many—at a minimum due to changes in strategy, personnel, convention, ecosystems, innovations, and cloud (maturity). The accepted top-down agenda setting management theory of academics and consultants constructed in silos of efficiency are being called into question.

Mark P. Dangelo: 2022 C-Suite Agendas Meet New Realities

The challenges of the executing against traditional business prescriptions are many—at a minimum due to changes in strategy, personnel, convention, ecosystems, innovations, and cloud (maturity). The accepted top-down agenda setting management theory of academics and consultants constructed in silos of efficiency are being called into question.

Mark P. Dangelo: 2022 C-Suite Agendas Meet New Realities

The challenges of the executing against traditional business prescriptions are many—at a minimum due to changes in strategy, personnel, convention, ecosystems, innovations, and cloud (maturity). The accepted top-down agenda setting management theory of academics and consultants constructed in silos of efficiency are being called into question.

Mark P. Dangelo: 2022 C-Suite Agendas Meet New Realities

The challenges of the executing against traditional business prescriptions are many—at a minimum due to changes in strategy, personnel, convention, ecosystems, innovations, and cloud (maturity). The accepted top-down agenda setting management theory of academics and consultants constructed in silos of efficiency are being called into question.

Mark P. Dangelo: The Dark Matter Transforming M&A Post-Deal Landscapes, Part 3

Data is the “dark matter” of M&A events. Data is made even more important with widespread digital transformations of processes, predictive analytics, and advanced machine learning. During an M&A event, the cascading challenges to leverage these siloed data innovations across Industry 4.0 ecosystems requires a framework that moves beyond the prescriptive, one-size-fits-all strategy.

Mark P. Dangelo: The Dark Matter Transforming M&A Post-Deal Landscapes, Part 3

Data is the “dark matter” of M&A events. Data is made even more important with widespread digital transformations of processes, predictive analytics, and advanced machine learning. During an M&A event, the cascading challenges to leverage these siloed data innovations across Industry 4.0 ecosystems requires a framework that moves beyond the prescriptive, one-size-fits-all strategy.

Mark P. Dangelo: The Dark Matter Transforming M&A Post-Deal Landscapes, Part 3

Data is the “dark matter” of M&A events. Data is made even more important with widespread digital transformations of processes, predictive analytics, and advanced machine learning. During an M&A event, the cascading challenges to leverage these siloed data innovations across Industry 4.0 ecosystems requires a framework that moves beyond the prescriptive, one-size-fits-all strategy.

Mark P. Dangelo: The Dark Matter Transforming M&A Post-Deal Landscapes, Part 3

Data is the “dark matter” of M&A events. Data is made even more important with widespread digital transformations of processes, predictive analytics, and advanced machine learning. During an M&A event, the cascading challenges to leverage these siloed data innovations across Industry 4.0 ecosystems requires a framework that moves beyond the prescriptive, one-size-fits-all strategy.

Mark P. Dangelo: The Dark Matter Transforming M&A Post-Deal Landscapes, Part 2

M&A events in the Age of Industry 4.0 have moved beyond scale and into the digital clarity achieved by the combination of firms using curated data necessary to profit from vast ecosystems of financial products and services across channels and consumers. Financial and private equity firms that target and conduct due diligence solely on financial engineering will become footnotes in history.