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Analytics Services Industry in
OverviewSakshi Prakash: Social Media Analytics, Hewlett-PackardJan, 2013
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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/8/10/2019 Analytics Services Industry Overview
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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