Prospect data Marketing for Banking - PowerPoint PPT Presentation

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Prospect data Marketing for Banking

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It is widely acknowledged that the digital revolution spreading to the financial sector is a serious threat to traditional banks. – PowerPoint PPT presentation

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Title: Prospect data Marketing for Banking


1
Prospect data Marketing for Banking Sector For
Ultimate Profit
2
  • It is widely acknowledged that the digital
    revolution spreading to the financial sector is a
    serious threat to traditional banks. The pace of
    change over the last decade has left many
    institutions uncertain about how best to embrace
    the digital future. In the face of new
    competitors and technological advances, it is
    easy to assume that traditional banks will
    inevitably lag behind when customers turn to
    challenge banks and third parties to provide
    financial services and products. It is often
    forgotten that, as incumbents, large banks have
    certain advantages that their smaller competitors
    do not have. Undoubtedly, the biggest advantage
    is with the data for making Profit. (BBGV1512021)
  • Open banking facilitates the sharing of customer
    information between banks, customers and other
    third-party providers - changing the relationship
    between banks and customers. This access to
    information allows challenge banks and to develop
    new innovative financial products and services,
    but traditional banks have ideal opportunities to
    improve their customer experience with the vast
    amount of information they hold.
  • How to create value for customers with data
    becomes an important factor in the digital
    economy. It means creating a more accurate
    understanding of customers and the context in
    which they use the services. Communicating with
    customers about products and services in an
    appropriate and timely manner and ultimately
    creating a better customer experience through the
    value of the information.

3
  • The emergence of cognitive banking A more
    personal form of banking is beginning to evolve
    through enhanced data analysis. This ability to
    gain more value from knowledge through learning,
    understanding, and analysis leads toward
    cognitive banking where artificial intelligence
    and machine learning change the customer
    experience. Cognitive banking is fast data and a
    good user experience and user interfaces for
    customers. It also includes automated or robotic
    artificial intelligence used for fast, accurate,
    cost-effective, and predictable data execution,
    significantly improving the digital banking
    process. In the world of digitalization and the
    digital economy, cognitive banking expresses all
    digital requirements and more.
  • In addition to providing services in this way,
    banks need to draw conclusions about their
    engagement strategy with their customers, either
    directly or indirectly, based on real-time data
    from multiple sources. This is part of a
    cognitive banking process that involves
    analyzing, processing, and generating insights
    that lead to new products and deeper targeted
    customer value.
  • Switching from big data to fast data Gaining
    greater value and insight requires quick
    knowledge. The defining feature of Fast Data is
    the rapid collection and analysis of data in real
    time. It is about the ability to consume,
    analyze, and implement a vision produced from
    multiple sources of information. Unlike big data,
    this focuses on storage.
  • Fast data is a consumption-driven view and
    provides a richer context for analysis and
    decision-making. This will allow banks to provide
    a better and more personal customer experience.
    Value of data In the face of increased
    competition, traditional banks need to make
    efficient use of data and transform themselves
    into knowledge-based organizations that provide
    the data bank. This will lead to better financial
    products and services for customers that meet
    their needs and expectations.

4
  • However, banks can go a step further by
    extrapolating valuable information about their
    large established customer bases and segments -
    which challengers do not have. This information
    can be commercialized by allowing third parties
    to use segmentation information about their own
    customer base and detail consumer behavior.
  • This permissible information, which customers
    have agreed to share, is an important
    development. This opportunity to sell insights
    based on segmentation data offers banks the
    opportunity to gain a profitable new revenue
    stream.
  •  
  • Contact Us
  • Unit No.450, Mastermind One - IT Park, Royal
    Palms, Aarey Colony, Goregaon(E), Mumbai,
    Maharashtra 400065
  • Ph 91 8097027355, 91 9137256150, 91
    9222086563
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