Strategic Planning and Management Insights

MARCH 6, 2023

McKinsey & Company discovered that data-driven firms are 23 times more likely to acquire customers , six times more likely to retain them, and 19 times more likely to be profitable than their counterparts without a data-driven culture. However, it's crucial to have a consistent and efficient method for tracking progress.

Report 98

Report Data Strategy& Strategy 98

Kates Kesler

APRIL 7, 2022

Agility” is the management word of the decade for sure. But to move with agility in a complex organization requires leaders to be confident that important decisions are being made at the right level and location across the enterprise. Efficiencies are lost in the cost of overhead. Programs and staff grow. What is “center-led”.

Agile 65

Agile Enterprise Metrics Talent 65

Johanna Rothman

MARCH 30, 2020

See the Flow Efficiency series.) As a manager, while you might have a bunch of metrics, most of those measures don't help you manage. ( See Agile Program Measurements to Visualize and Track Progress and Measure Cycle Time for my suggestions of what to measure. You don't need too many metrics if you can see visible progress.

Management 52

Management Agile Metrics Video 52

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

Harvard Business

JUNE 19, 2017

If software has eaten the world, then agile has eaten the software world. And there is no shortage of information and advice on how agile should be implemented in your tech organization. And there is no shortage of information and advice on how agile should be implemented in your tech organization. Related Video.

Agile 28

Agile Software Case Interview Video 28

Johanna Rothman

JANUARY 31, 2024

In Effective Agility Requires Cultural Changes: Part 1 , I said that real agile approaches require cultural change to focus on flow efficiency, where we focus on watching the work, not the people. If you and your team have been practicing real agility, you might say these ideas barely show any agility at all.

Agile 70

Agile Metrics Efficiency Culture 70

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& 49

Strategy& Strategy Strategy Enterprise 49

Harvard Business

OCTOBER 25, 2016

It takes a major cultural shift in the company. Embrace Agile Methods for Responding to Customers. The key to this transformation was an innovation approach common in the software industry: agile invention methodology. The willingness to experiment has to permeate the whole organization. The risk had been managed well.

Methodologies 28

Methodologies Agile Metrics Exercises 28

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.” Accountability is vital to the efficiency of the process.

System 39

System Healthcare Metrics Operations 39

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

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