NBA Model

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NBA Model

Driving engagement, conversion, and sustainability by delivering prioritized, data-driven recommendations tailored to each customer

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Energy companies struggle to translate customer data into relevant actions, resulting in low engagement, missed revenue opportunities, and limited impact on sustainable behavior

WHY THIS “NBA MODEL” CHALLENGE?

From fragmented insights to actionable customer decisions

Customer data exists but is rarely operationalized into timely, relevant actions that align customer needs with business and sustainability goals

Key benefits

Why customer intelligence fails to convert into action

The gap between available data and decisions that customers actually respond to

Customer data remains underutilized

Insights exist across systems, but are not translated into clear, prioritized actions at the moment of interaction

Generic offers reduce engagement

Lack of personalization leads to low relevance, limiting customer response and satisfaction

Disconnection between strategy and execution

Commercial priorities are not consistently embedded into customer-facing recommendations

Sustainability is not operationalized

Energy-saving initiatives are not integrated into everyday customer interactions, reducing behavioral impact

How NTT DATA helps

01

Build customer-centric recommendation engines

Analyze consumption patterns and behavior to identify high-impact opportunities

Build customer-centric recommendation engines

02

Prioritize actions with multi-factor logic

Balance customer needs, segment behavior, and business objectives in every recommendation

Prioritize actions with multi-factor logic

03

Integrate sustainability into recommendations

Embed energy efficiency and carbon reduction into personalized actions

Integrate sustainability into recommendations

04

Activate recommendations across channels

Deliver timely actions through digital, service, and engagement platforms

Activate recommendations across channels

05

Enable continuous optimization

Refine recommendations through performance monitoring and feedback loops

Enable continuous optimization

Turning customer insight into prioritized, high-impact actions

Proven impact

Turning customer insight into prioritized, high-impact actions

Results that matter

How better decisions at the customer level translate into growth and efficiency

Increased customer engagement

Personalized and relevant actions improve interaction rates and customer responsiveness

Higher conversion and revenue generation

Better alignment between customer needs and offers increases commercial effectiveness

Up to 60% faster time-to-market for initiatives

Automated prioritization accelerates deployment of new products and services

Improved operational efficiency

Data-driven prioritization optimizes resource allocation and decision-making

Turn customer data into actionable decisions

Discover how to increase relevance and conversion

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