Unlocking the Power of Data: Introducing Profile-of-One for Personalized Experiences

The telecommunications industry is rapidly evolving, and personalization has emerged as a transformative force. To stay competitive in this dynamic landscape, businesses must embrace advancements in Artificial Intelligence (AI) and invest in personalized customer experiences. Telecom companies have already made significant strides in leveraging AI to optimize services, leading to more efficient processes, and fostering innovation within the sector. By harnessing AI's power, telecom companies can unlock personalized insights that drive meaningful interactions, enhancing customer experiences. In this blog post, we explore the capabilities of AI-powered personalization in building a deep contextual understanding of prospects and customers.

Generation of vast amounts of data across multiple touchpoints presents both opportunities and challenges. AI-powered personalization has emerged as a solution that enables businesses to effectively leverage this data. By harnessing advanced AI algorithms, companies can create comprehensive customer profiles that transcend basic demographics, incorporating usage patterns, service history, and real-time context. This holistic view forms the foundation for delivering personalized experiences that resonate with customers on a deeper level.

In the world of enterprise AI applications, the Tecnotree Sensa Intelligence Platform stands out as a powerful solution that enables organizations to harness the full potential of AI throughout the entire customer life cycle. At the heart of this platform lies Profile-of-One, a groundbreaking component that drives personalized experiences, observability, operationalization, and AI governance

Profile of One: Driving Personalized Experiences

Profile-of-One, as an integral part of Tecnotree Sensa, is crucial for driving personalized experiences. It leverages vast amounts of data to create comprehensive profiles tailored to specific use cases. These profiles are highly detailed, incorporating both declared data (shared by the customer) and observed data (captured through customer interactions). By seamlessly integrating with AI-powered models, Profile-of-One enables the prediction of customer behaviors and the extraction of valuable insights.

One of the key features of Profile-of-One is its ability to connect and gather data from various sources. It serves as a visualization tool, allowing developers to establish connections and group attributes to create a temporal-based representation of entities such as customers or products. This comprehensive view of the entity enables informed decision-making and the delivery of personalized experiences.

Components of the Profile

The profile generated by Profile-of-One consists of three classes of information–

  • The first class is Declared attributes, which include profile information (such as individual or customer ID, MSISDN, and address) as well as demographic data (such as age, country, and gender) and much more.
  • The second class is Observed Behavior, which encompasses customer interactions, service usage patterns, call durations, and much more.

By combining Declared and Observed information, valuable Insights can be derived through analytic models and other techniques. These Insights are stored in the profile, transforming it into a temporal representation of the gathered information.

Use Cases

Profile-of-One serves as the underlying layer supporting various AI/ML use cases across different products. When it comes to telecom customers, Profile-of-One creates a comprehensive and highly personalized collection of data, providing deep insights into individual customers. This profile includes a wide range of information such as trouble ticket history, loyalty program details, usage patterns, interactions, demographic data, revenue and billing information, product purchases, and subscriptions. By aggregating and analyzing this data, Profile-of-One enables telecom companies to gain a holistic understanding of their customers and deliver personalized experiences tailored to their unique needs and preferences.

For instance, let's consider a telecom customer who frequently uses data-intensive applications on their mobile device, such as video streaming or online gaming. Profile-of-One captures this behavior and recognizes the customer's preference for high-speed data plans with generous data allowances. This allows system to suggest upgrading to a higher-tier data plan that offers faster speeds and more data, tailored specifically to the customer's usage patterns. Alternatively, it could recommend value-added services like content streaming packages or gaming bundles

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In addition to customer profiles, Sensa also supports the creation of Profile-of-One for products. This profile provides comprehensive information related to the product, enabling intelligent insights and decision-making.

The Profile-of-One for a product includes various details such as product offering commercial details, product specifications and resources, product adoption/subscriptions, product usage, product financial performance, and product reviews/- likeliness. By gathering and analyzing this information, Sensa enables businesses to gain a deep understanding of their products and make data-driven decisions.

For example, telecom companies can utilize the Profile-of-One for products to analyze the adoption and subscription rates of different offerings, understand the usage patterns and preferences of customers for specific products, assess the financial performance of products, and gather insights from customer reviews or feedback

By leveraging the Profile-of-One for products, businesses can optimize their product catalog, identify opportunities for improvement or innovation, tailor product offerings to meet customer needs, and make informed decisions to drive growth and customer satisfaction.

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The Power of Profile-of-One:
Personalized Insights and Accelerators

Profile-of-One is much more than just a data repository - it is an engine that drives personalized insights via several key capabilities:

Insight Accelerators

Sensa’s Profile-of-One enables personalization insights with out-of-the-box capabilities - what we call Accelerators - to help customers develop AI applications more easily and quickly. Further, Profiles can include multiple of these insight engines:


Predict entities belonging to categories.

Example: Call likelihood for service inquiry


Find similarities between entities.

Example: Finding similar personas for consumers


Identifying and grouping similar entities.

Example: Customers that are prone to being delinquent on bills

Forecasting & Simulation

Simulate “what if” scenarios using synthetic data

Example: Time series forecasting in-store service inquiries

Feature Store:

Use Profile-of-One to power different ML model training and inferences

Example: Classification model for fraud detection

Temporal Analysis

Query for changes to a profile over time.

Example: How customer behavior or characteristics changed over time

Personalized Insights

Get insights and evidence based on learnings about a customer

Example: Understand individual customer usage patterns or communication preferences

Example: Understand individual customer usage patterns or communication preferences


Profile-of-One in Tecnotree's Sensa Intelligence Platform revolutionizes the telecommunications industry by unlocking the power of data and delivering personalized experiences. With comprehensive customer profiles and predictive insights, telecom companies can tailor their services, recommend upgrades, and optimize product offerings. By embracing Profile- of-One, businesses can drive revenue growth, foster loyalty, and position themselves as leaders in the era of personalized AI solution.

Empower your business with the power of personalization. Unlock the potential of our Sensa Intelligence Platform and propel your telecommunications company into a future where personalized AI solutions drive unmatched value


Jeffrey Eyestone

Industry & Solutions Specialist, Tecnotree

Jeffrey Eyestone is an AI/ML industry solutions and subject matter expert at Tecnotree focused on driving value with AI applications. With 30 years of experience in Healthcare, FinTech / Banking, and Telecommunications, he has worked with companies like United Healthcare, CVS Health, Elevance Health, and numerous others on their AI roadmaps and implementations.

Komal Dilip Shete

Senior Portfolio Consultant, Tecnotree

Komal leads the product portfolio for Tecnotree Moments, a B2B2X multi-experience platform. She has extensive experience working with customers to enable new revenue streams across different industry verticals.