Lead in the New Age of Customer Experiences with The Trifecta

Introducing the trifecta: An organized approach to true competitive advantage using data.

  • Augment Intelligence

    Customer Genomics creates a network of intelligence around every customer—integrating insights on customer value, engagement, preferences, and behaviors.

    Pioneers in this approach have achieved $1B in incremental sales within 6 months after launch.

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    This augments Financial Services companies’ ability to:

    • Consistently identify pockets of value
    • Make strategic marketing decisions
    • Deliver real-time contextual interactions
  • Automate and Learn

    Automation can help elevate customer trust and relationships to a whole new level.

    For example, risk managers can get immediate insights on who to call, what to talk about, and why.

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    Customer Genomics algorithmically combines customer genomes with relevant treatments.

    This enables contextual offers, messages, and reactions in real time.

  • Incorporate Human Behavior

    Customers aren’t always rational. Behavioral sciences are becoming a key complement to data science and can power better customer relationships.

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    Helping them make the best decision means understanding their emotions, proclivities, and fears.

    Harnessing these ‘irrational’ influences is key to building customers’ trust and financial health and gaining competitive advantage.

  • This augments Financial Services companies’ ability to:

    • Consistently identify pockets of value
    • Make strategic marketing decisions
    • Deliver real-time contextual interactions
  • Customer Genomics algorithmically combines customer genomes with relevant treatments.

    This enables contextual offers, messages, and reactions in real time.

  • Helping them make the best decision means understanding their emotions, proclivities, and fears.

    Harnessing these ‘irrational’ influences is key to building customers’ trust and financial health and gaining competitive advantage.

Case Studies

  • Automate insight generation from unstructured sources

    A major US mutual fund automates insight generation using unstructured data from analyst reports.

    A major US mutual fund automates insight generation using unstructured data from analyst reports. Asset management companies are perpetually in the race to capture mind-share from financial advisors by being relevant,...

  • Recommend replacement products to advisors to drive sales

    A wealth manager develops a recommendation platform, resulting in a $1.5B incremental opportunity.

    A wealth manager develops a recommendation platform, resulting in a $1.5B incremental opportunity. Financial advisors, looking to add value to consumer investors, frequently rebalance their portfolios to keep with...

  • Identify major customer events using analytics

    A bank uses analytics to identify moments in the customer journey that lead to likely attrition.

    A bank uses analytics to identify moments in the customer journey that lead to likely attrition. A leading bank had the highest share of young adults in the 18 to 26 years age group, but the proportion tails off in...

  • Deliver next best product recommendations during customer interactions

    A bank uses deep learning algorithms to recommend next best products to existing customers.

    A bank uses deep learning algorithms to recommend next best products to existing customers. A top five global retail bank was facing low customer engagement and satisfaction with its customers. The existing analytical...

  • Identify preferred store locations to enable personalized marketing

    A payment provider traced customer geo location and transactions data to personalize marketing.

    A payment provider traced customer geo location and transactions data to personalize marketing. The Big Picture: A leading payment provider wanted to understand the relationship between a shopper’s home location and...

Our People

  • Ajoy Singh

    Chief Operating Officer

    • Lead delivery and capability development in area of AI and big data
    • Retail banking and risk management
    • Analytics and technology led strategy and transformation
    • Lead delivery and capability development in area of AI and big data
    • Retail banking and risk management
    • Analytics and technology led strategy and transformation
  • Sankar Narayanan (SN)

    Chief Practice Officer

    • Business & functional transformation
    • Consumer Banking, Asset & Wealth Mgmt., Payments
    • Customer Analytics, Sales & Marketing Effectiveness, Digital strategy, Risk Mgmt.

    • Business & functional transformation
    • Consumer Banking, Asset & Wealth Mgmt., Payments
    • Customer Analytics, Sales & Marketing Effectiveness, Digital strategy, Risk Mgmt.

  • Bhaskar Roy

    Client Partner

    • Lead Customer Analytics practice
    • Delivering top-line/bottom-line impact leveraging AI & advanced analytics across Tech, Telecom, Banking, Retail, Industrial IoT & FS industries

    • Lead Customer Analytics practice
    • Delivering top-line/bottom-line impact leveraging AI & advanced analytics across Tech, Telecom, Banking, Retail, Industrial IoT & FS industries