Remove Metrics Remove Operations Remove Productivity Remove Software
article thumbnail

Key Performance Indicators (KPIs) for Professional Services Firms

Progressus

These metrics provide the foundation for more outcome-oriented engagements, leveraging real-time data to secure contracts, monitor progress, and demonstrate the value of client investments. Which Metrics Are Essential for Professional Services Firms?

article thumbnail

Key Drivers in the Evolution of the Professional Services Industry

Progressus

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Don’t Be Tyrannized by Old Metrics

Harvard Business

While effective metrics are essential for focusing attention and achieving results, they can also overpower better sense. Most industries cower to a few central metrics, the yardsticks that define the winners and losers. Metrics tried and proven over years become a guide to what’s important, driving resource allocation.

Metrics 28
article thumbnail

ESG’s Impact on Professional Services

Prudent Pedal

According to Forbes, “The Davos Manifesto highlighted a set of 22 quantitative core ESG metrics and then added a more advanced phase two aspirational set of 34 metrics. The expanded metrics are less established and revolve around a “wider value chain.” Time will tell.

Metrics 76
article thumbnail

What is Project Accounting?

Progressus

For project-centric companies such as consulting firms, architect and engineering firms or software publishers, the term project accounting takes on a whole new meaning. Additionally, the time needed to reconcile spreadsheets to both the GL and project reporting negatively affects productivity which in turn risks profitability.

article thumbnail

The Kinds of Data Scientist

Harvard Business

One type of data scientist creates output for humans to consume, in the form of product and strategy recommendations. Data science for humans: the consumers of the output are decision makers like executives, product managers, designers, or clinicians. They are decision scientists. They are modeling scientists. What is the output?

Data 43
article thumbnail

Why John Deere Measures Employee Morale Every Two Weeks

Harvard Business

But it’s important to remember what comes between the motivated employee and the satisfied customer: the innovative product or service that the employee creates and the company sells. With the rapid development of the Internet of Things , incorporating up-to-the-minute digital technology has become critical to its product innovation.

Metrics 43