analytics services industry overview

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  • 8/10/2019 Analytics Services Industry Overview

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    Analytics Services Industry in

    OverviewSakshi Prakash: Social Media Analytics, Hewlett-PackardJan, 2013

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    2

    Agenda

    Analytics in Business - What, Why & Where

    Increase in Importance of Analytics

    Spreading Wings: Growth of Analytics Services

    Service Providers Landscape

    Analytics Services Mix & Skill Set Required

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    Firms typically apply analytics to business data, to describe, predict & impr

    Analytics in Business

    Analytics

    Discovery &communicationof meaningful

    patterns in data

    Simultaneousapplication

    of statistics, programming, OR &

    businessacumen

    Favors datavisualization tocommunicate

    insight

    Improve

    Predict

    Describe

    Why W

    Retail Ana

    Store Asso

    Price & Pro

    MarketingOptimizati

    Web Analy

    Portfolio A

    Risk Analy

    Supply ChaOptimizati

    What

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    Big Data

    UnstructuredData

    InformationExplosion

    Real TimeAnalytics

    FasterDecisions Advanced

    Analytics

    Text Analytics

    SmarterDecisions

    Flexible Technology & Systems

    Increase in Importance of Analytics

    Information Explosion

    Smarter D

    Faster Dec

    Contributing Factors

    Go!

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    With India supplying business analytics capabilities to MNCs at best perform

    scope for a professional in this field is phenomenal

    Spreading Wings

    The popularity and maturity over time of the BPO sector led to theevolution of yet another form of global outsourcing known as KPO

    The Indian KPO services industry is estimated to be around USD 5.7billion currently and grew by 15-17% in the recent past

    - Analytics outsourcing is a segment of the growing KPO industry

    Global data analytics outsourcing market stood at $500-550 million in2010, of which Indian service providers delivered $375 million

    - Faces stiff competition from Philippines, Russia, China, Poland andHungary

    By 2015, the data analytics market in the country is expected to reach$1.15 billion, to constitute 21 per cent of the overall Indian knowledgeprocess outsourcing (KPO) market opportunities of $5.6 billion

    Estimated of

    services

    $5.6 billion T

    opportunities

    39%Busines

    percentage of

    23%Legal prpercentage of

    21%Data ana

    percentage of

    17%Others (

    marketing & s

    S

    http://www.business-standard.com/india/news/india-to-lead-in-analytics-services/488152/source:%20http:/orangetreeglobal.com/trends_analytics/http://www.business-standard.com/india/news/india-to-lead-in-analytics-services/488152/source:%20http:/orangetreeglobal.com/trends_analytics/
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    Landscape is split between pure-play analytics vendors, KPO/BPO services

    companies who source analytics services from their captive centers in India

    Service Providers Landscape in India

    ServiceProvidersLandscape

    Pure PlayVendors

    BPO/KPOServices

    Providers

    CaptiveCenters

    Mu SigmaAbsolutData

    Fractal Analytics

    ZS Associates

    IBM

    HP

    ICICI

    HDFC

    Wal-Mart Labs

    Vodafone

    TCS

    Genpact

    Wipro

    Accenture

    eClerx

    Acquisitions by Indian cospace

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    Service Providers Landscape in India (cont.)

    Top Cities

    Bangalore

    NCR

    Mumbai

    Pune

    Hyderabad

    Chennai

    Kolkata

    Top 10 Analytics

    Employers in India

    Global Top 10

    Employers in Analytics

    Genpact IBM

    TCS Accenture

    IBM Microsoft

    CTS Google

    HP Oracle

    Accenture Bank of America

    Infosys HP

    HSBC Citi

    Wipro SAP

    Dell Wells Fargo

    Top Cities by Analytics

    Professionals

    NCR 29%

    Bangalore 26%

    Mumbai 21%

    Hyderabad 7%

    Chennai 7%

    Pune 7%

    Kolkata 4%

    Third party vendors form the bulk of employment in

    context

    Contrast it with global top 10 employers. Five out of

    analytics in-house. Although all these firms have offsstill shy away from offshoring high end vocations like

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    Insight Generation/Recommending actionable insights is a critical element

    management students can add value

    Analytics Services Mix & Skill Set Required

    Model/Solution Building

    Running Models, Data Analysis

    Data

    Extraction

    Data

    Preparation

    BusinessResearch

    Reporting

    Insight Generation

    Visualization/Report Writing

    Communication/Presentation

    Low-end

    High-end

    Right Attitud

    Strong Oral Communica

    Logical/Ana

    Business Acetc.

    Domain UndFinance, Sup

    Statistics, O

    Technical V

    Skil

    Newsletters

    InfographicsDashboards

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    Open Session!

    Questions? Comments?

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    Thank you

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    Appendix

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    Big data spans three dimensions: Volume, Velocity, Variety

    What is Big Data?

    Big datais a collection of data sets so large and complex that it becomes difficult to process using on-hand data

    tools or traditional data processing applications. The challenges include capture, curation, storage, search, shar

    visualization

    Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes, even petab

    Turn 12 terabytes of Tweets created each day into improved product sentiment analysis

    Convert 350 billion annual meter readings to better predict power consumption

    Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data m

    streams into your enterprise in order to maximize its value

    Scrutinize 5 million trade events created each day to identify potential fraud

    Analyze 500 million daily call detail records in real-time to predict customer churn faster

    Variety: Big data is any type of data - structured and unstructured data such as text, sensor data, audio, vi

    log files and more. New insights are found when analyzing these data types together

    Monitor 100s of live video feeds from surveillance cameras to target points of interest

    Exploit the 80% data growth in images, video and documents to improve customer satisfaction

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    80% of all potentially usable business information originates in unstructur

    What is Unstructured Data?

    Unstructured Data refers to information that either does not have a pre-defined data model and/or does not fit

    into relational tables

    Unstructured data is typically text-heavy, but may contain data such as dates, numbers, and facts as well

    This results in irregularities and ambiguities that make it difficult to understand using traditional comput

    compared to data stored in fielded form in databases

    In 1998, Merrill Lynch cited estimates that as much as 80% of all potentially usable business information origin

    form

    More recently, multiple analysts have estimated that data will grow 800% over the next five years

    Unstructured information accounts for more than 70%80% of all data in organizations and is growin

    structured data