Harvard Business

NOVEMBER 29, 2018

A core challenge of management is to ensure that the organization’s priorities, strategies, and metrics are consistently embraced and that any impediments are identified and addressed quickly. Metrics that are reported daily, such as “units at capacity.” CAPTION TEXT HERE/Getty Images.

System 39

System Healthcare Metrics Operations 39

Harvard Business

NOVEMBER 23, 2017

That time is spent establishing financial and operational metrics, aligning goals with overarching strategy, allocating resources, and reviewing key metrics. High-performing teams spend 14% more time checking their progress against strategic goals by reviewing key metrics and shifting resources accordingly.

Strategy& 50

Strategy& Strategy Strategy Enterprise 50

Harvard Business

NOVEMBER 22, 2017

Why is one insurance company deep into an agile transformation while another is experimenting with it only at the edges of its business? For every company wrestling with evolutions in its strategy, success depends as much on matching the operating model to those evolutions as it does on the soundness of the strategy itself.

Strategy& 28

Strategy& Strategy Strategy Company 28

Harvard Business

MARCH 28, 2017

Organizations can now engage with customers and employees like never before, and the virtual environment holds the potential to drive operational efficiencies, save time and money, and open the exploration of new commercial avenues. Agile organizations are connected organizations. This age is ripe with opportunity. Connectivity.

Agile 28

Agile Talent Data Efficiency 28

Progressus

OCTOBER 19, 2023

These transformative elements, while well-recognized, are evolving at an unprecedented pace, affecting how professional services firms operate, make decisions, collaborate, and structure their services. Reimagining Performance Metrics: Traditional productivity measures are giving way to outcome-based assessments.

Industry 52

Industry Agile Talent Data 52

Harvard Business

FEBRUARY 5, 2018

More recently, however, companies have widened their aperture, recognizing that success with AI and analytics requires not just data scientists but entire cross-functional, agile teams that include data engineers, data architects, data-visualization experts, and—perhaps most important—translators. Why are translators so important?

Data 28

Data Engineering Agile McKinsey 28

Progressus

OCTOBER 25, 2023

Digital agility. Technology enables greater agility. While these changes might seem like a lot to take on at once, they represent a path toward agility, adaptability, and long-term resilience. Businesses are increasingly embracing tools that allow them to adapt to changing conditions. Digitalization” shouldn’t inspire dread.

Data 52

Data Agile Tools Talent 52