Big Data Analytics role in different Industries - PowerPoint PPT Presentation

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Big Data Analytics role in different Industries

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With a vast majority of industries generating big volumes of unstructured data the process of making decisions becomes a lot tougher for businesses and eventually requires the insights of Big Data Analytics. It has created plenty of opportunities for a Data Analytics Company to devise strategic plans for implementing Big Data into different Industries and improve the overall customer experiences. Learn More at : . – PowerPoint PPT presentation

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Title: Big Data Analytics role in different Industries


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Big Data Analytics role in different Industries
  • Big Data has the potential to instantaneously
    change the way how different industries are
    running their business to survive and prosper.
  • Primarily this technology should get you into the
    limelight of promoting data marketing and sales
    for a large no of industries that depends on data
    usages.
  • Presently there is always a big difficulty and
    debacle to handle the unstructured data
    volumes through the help of traditional
    algorithms.
  • However, Big Data can secure the motive for
    understanding the qualitative type of data and
    thus empower business into achieving success.
  • It will also produce high revenues for business
    with changes in their marketing standards that
    eventually resulted from inclusion of Big Data
    enabled Services.

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Retail
Healthcare
  • The healthcare companies are making use of Big
    Data along with cognitive computing to identify
    and detect complex healthcare treatments including
    the doctor prescriptions regardless of any
    category the patient got admitted.
  • Naturally this speeds up the process of finding
    the effective treatments for a patient especially
    through BigData Solutions
  • The Retail merchandise can use Data Sciences and
    Analytics to offer their customers afar too
    personalized experiences and then increase their
    business sales volume. 
  • This will permit retailers to order for the most
    demanding goods that appeals their customers the
    most and then stack them up during busy shopping
    seasons.

4
Manufacturing
Telecommunication
  • There are a lot of Telecommunication service
    providers leveraging the vast applications of Big
    Data to fast indexing large number of
    documents, images and manuals bind to perfection.
  • This can help the customer support
    representatives to handle complex and intriguing
    issues quite successfully with the help of big
    data services that is operational in most of the
    telecom companies.
  • The right way of using data science would help
    companies to sort out the most appealing contents
    in moments and then target audiences to provide
    the on-demand content. 
  • The big challenges of manufacturing industry rely
    in forecasting the production of
    inventories without exceeding the market demand
    limits and time boundedness.
  • The role of Data Sciences has aplenty of
    guidance for the manufacturing industries to
    produce customer-centric products that are
    absolutely based on individuals
    personality, preferences and needs.

5
Fitness
  • When considering the customer fitness
    the inclusion of Big Data Analytics
    Solutions could be of immense help to them in
    many ways directly.
  • The Sports and Fitness industry is utilizing data
    sciences to serve their patron customers with
    virtual fitness assistance and maximise the power
    of cognitive computing to customers fitness. 

Banking
  • In Banking Industry the quantum of data generated
    is massive and often requires the expertize of
    a Bigdata Consulting Services to analyse the
    behaviour of loyal customers and towards
    delivering the right level of user engagement in
    Net Banking.
  • One of the reasons for traditional bankers to
    depend on technology essentially happens to be
    present in securing every customers transaction
    related informations. 

6
Insurance
  • The Insurance industry is also facing a similar
    kind of problem like banking and thus requires
    the help of Big Data enabled Services.
  • This access to technology have resulted to the
    speeding up of claim procedures for a customer,
    especially with the cognitive computing the time
    duration for claims have reduced from days to
    only few minutes of system processing.

Finance
  • Enterprises and large scale companies are relying
    heavily on big data to go ahead forward
    with borrowing finances and running the
    business during unprecedented times.
  • In the contrary, it is also helping the
    financial sector to learn about the whereabouts
    of companies that are in need of immediate funds
    for setting up their main business.

7
Government
  • Some state governments have already introduced
    the big data analytics for its citizens with the
    help of a private consulting services.
  • It will enlighten the citizens to access to some
    of the most confidential documents and
    information directly over the desktop
    systems, compatible for cognitive computing.

Travel
  • There are many travel companies who have started
    investing on big data to enhance the customer
    experience all the more exclusively.
  • This has changed the way how travellers go about
    with on-boarding procedures that includes
    updating their preferences like food, seating, tra
    vel uneasiness and other privileges. 

8
Big Data a vital competitive edge
  • In this world of Digital Gadgets and next
    generation users taking vital responsibilities
    for the exponential data surges, it is definitely
    giving Data Analytics Company the maximum
    opportunities to include big data technology into
    their products and services and personalize the
    customer experiences.

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