Utility Field Performance: Turning Field Activity into Actionable Performance Intelligence

The utility company needed a clearer, fact-based view of field operations across technicians, schedulers and service managers.

A flawless optical glass lens bringing a misty landscape of utility field operations into hyper-sharp focus, symbolizing clear performance intelligence and operational transparency

Operational data was available but fragmented across processes

Operational data was available but fragmented across processes and roles

Management lacked consistent measures of field productivity and

Management lacked consistent measures of field productivity and efficiency

Root causes were difficult to distinguish from symptoms

Missing, delayed or inconsistent integration data reduced visibility

A chaotic tangle of utility cables passing through a sleek titanium ring and emerging as perfectly aligned, parallel lines, symbolizing the structuring of fragmented field data into clear KPIs

The utility company needed a clearer, fact-based view of field operations across technicians, schedulers and service managers.

The utility company needed a clearer, fact-based view of field operations across technicians, schedulers and service managers. Operational data existed, but there was no consistent performance view that management could use to understand productivity, identify gaps and focus improvement activity. NTT DATA created a performance-intelligence capability that translated field-execution data into KPIs, management visibility and targeted improvement opportunities.

A scalable approach to Utility Field Performance: Turning Field Activity into Actionable Performance Intelligence

Objectives

The utility company needed a clearer, fact-based view of field operations across technicians, schedulers and service managers. Operational data existed, but there was no consistent performance view that management could use to understand productivity, identify gaps and focus improvement activity.

Opportunity

The field performance capability establishes the measurement layer required to move from anecdotal performance management to evidence-based operational improvement.

Challenge

Solving the operational challenge at scale

Operational data was available but fragmented across processes and roles Management lacked consistent measures of field productivity and efficiency Root causes were difficult to distinguish from symptoms Missing, delayed or inconsistent integration data reduced visibility

Key Challenges

An electrical grid blueprint physically cut into disconnected sections on a dark desk, with each section weighed down by tools representing different fragmented roles

1. Operational data was available but fragmented across processes
Operational data was available but fragmented across processes and roles

A heavy industrial cable on a cobalt blue desk being measured by mismatched and incompatible analog tools, representing a lack of consistent performance metrics

2. Management lacked consistent measures of field productivity and
Management lacked consistent measures of field productivity and efficiency

A heavy industrial component covered in numerous warning tags that hide a single small broken bolt at its base, illustrating symptoms obscuring the root cause

3. Root causes were difficult to distinguish from symptoms
Root causes were difficult to distinguish from symptoms

A heavy industrial terminal block on a cobalt blue desk with an empty slot, a tangled cable, and a mismatched connection, representing broken data integration

4. Missing, delayed or inconsistent integration data reduced visibility
Missing, delayed or inconsistent integration data reduced visibility

Solution

An integrated solution designed for scalable execution

The utility company needed a clearer, fact-based view of field operations across technicians, schedulers and service managers. Operational data existed, but there was no consistent performance view that management could use to understand productivity, identify gaps and focus improvement activity. NTT DATA created a performance-intelligence capability that translated field-execution data into KPIs, management visibility and targeted improvement opportunities.

Operational data was available but fragmented across processes

Operational data was available but fragmented across processes and roles

Management lacked consistent measures of field productivity

Management lacked consistent measures of field productivity and efficiency

Root causes were difficult to distinguish from symptoms

Missing, delayed or inconsistent integration data reduced visibility

Impact

The capability provides greater performance transparency, more consistent productivity management, better-informed decisions and a prioritized improvement roadmap.

The capability provides greater performance transparency, more consistent productivity management, better-informed decisions and a prioritized improvement roadmap. The source does not provide a quantified productivity uplift, so the success story focuses on the delivered performance-intelligence capability and management outcomes.

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