Creating Customer-Centric Products using Big Data Kriti Sharma - - PowerPoint PPT Presentation

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Creating Customer-Centric Products using Big Data Kriti Sharma - - PowerPoint PPT Presentation

Mar 11, 2023 241 likes •400 views

Creating Customer-Centric Products using Big Data Kriti Sharma Director, Mobile Product Management, Sage @Sharma_kriti Intelligent Banking Customers have access to more options than before, to succeed retailers, businesses alike will need to

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Creating Customer-Centric Products using Big Data

Kriti Sharma

Director, Mobile Product Management, Sage @Sharma_kriti

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Customers have access to more options than before, to succeed retailers, businesses alike will need to flex to a new landscape of personalisation and relevant engagement. Next generation experiences are using omni-channel experiences to drive customer satisfaction, loyalty, retention and growth and tackle this new range

  • f problems.

……Giving the right product, to the right customer, at the right time.

Intelligent Banking

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Financial services need to disrupt the cycle in real-time to not miss the moment….optimising every interaction with the customer.

Detecting opportunities in real time to engage in the moments that matter…

Real-time Matters

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The 20X Story

The journey from being product-centric to customer-centric

Customer Small Business Corporates Start-ups

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Challenge #1

Is KYC really Knowing Your Customer?

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Profiling customers - who is most similar?

Jess Jane

Likes baking Heavy metal fan Accountant Female 24 years old 24 years old Male Female Salary = 35k Goes to bars Gym Heavy metal fan Gym Goes to bars Salary = 17k Salary = 35k Likes quiet evenings in Accountant Plumber 39 years old Appreciates quality Loves a good deal Loves a good deal London London Manchester Casual dress Casual dress Sophisticated dress style

Joe

Lifestyle similarities Demographic similarities Key:

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Challenge #2

Bring Big Data products from lab to launch

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Social Data

@ӣ:%^?><:!;o)

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Challenge #3

Familiar Familiar

Surprise !

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Data Fusion

Ø Cybersecurity Ø Financial Crime Ø Fraud Ø Risk Ø Marketing Social Data Application Logs Customer interactions Trades Network Traffic Transactions

Analysis

Central Data Engine : Ingesting, persisting, processing, servicing in real-time

Ref : http://www.slideshare.net/fayyad

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Data Transformer

Reference Data

Model Executor Output Dispatcher

Real time Queue Input Adaptor Output Adaptor

Metadata

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Fraud Prevention

Why fraud prevention is important?

  • $16.3 billion in credit card fraud losses annually
  • Fraud is growing more quickly than overall transaction value
  • New types of fraud are one step ahead of existing solutions

How?

  • Identify suspicious customers, merchants, and transactions by defining models
  • Detecting activity in real time
  • Triggering action
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The Millennial Team

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@Sharma_Kriti

Recency matters Really know your customers Bring data products from lab to launch Surprise your users! Familiar, Familiar, WOW!