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THE BIG DATA CRISIS
only 0.5%of big datais being analyzed
(According to estimates by IDC)
40 Billion(2010)
>250 Billion(2016)
PHOTOS STOREDON FACEBOOK
25%(2000)
98%(2016)
AMOUNT OFINFORMATION
STORED DIGITALLY
AMOUNT OF DATAPRODUCED IN....
2 days in 2016
All of History - 2003
$31 Billion(2013)
>114 Billion(2018)
AMOUNT SPENTON BIG DATA(estimated)
We now live in a world where datais not rare. The amount of datacampanies collect keeps growing.
They urgently need a strategy tomake sense of it all.
Confidential | Do Not Forward Without Prior Authorization spoctoTM
WELCOME TO THE ERA OF ‘SMALL DATA’
Hi
Small data yields native metrics!
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
SMALL DATA CAN CAPTURE ACTIONS NOTVISIBLE TO TYPICAL ANALYTICS
Millenials Gen-X Baby Boomers
Mentioned tosomeone else
Emailed
Posted Link
Printed
Happy to sharetheir information
66%
34% 32%
66% 74%
39%
19%
10% 15%
52%
9%
5%
35%
91% 5%
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
MULTI-SOURCE, BIG & SMALL DATA
Multiple-sources ofdata - may requirebig data platforms
Connection of datasources for holisticallyunderstanding attitudesand behaviors
Triangulation of multipledata sources to connectstory
Actionable insights maybe more inferentialthan exact
spoctoTM
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COLLECT ATONLINE SCALE
UNDERSTAND ATHUMAN SCALE
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
BRIDGING GIGABYTES TO GIGASMILES
COLLECT ATONLINE SCALE
UNDERSTAND ATHUMAN SCALE
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
ABOUT SPOCTOWho are we ?
A Big Data Analytics Company focused on ‘Individual Consumer Data driven
Insights’ on mass scale to significantly enhance effectiveness of business
and marketing actions. We provide unique tailored solutions to each client
as compared to offering a standard package.
What makes us unique ?
Our proprietary algorithms apply machine learning to multiple digital touch-points
of 200+ million individual persona sourced from 47+ data sources, and continually
curate them to keep it “LIVE”. Thereon, we use trademarked predictive artificial
intelligence to draw insights and provide specific recommendations. These unique
capabilities allow us to enrich persona data from public domain with
not only demographic, but also behavioral & psychographic information on a
hyper-personalized scale.spoctoTM
Confidential | Do Not Forward Without Prior Authorization
ABOUT SPOCTOWho are we ?
A Big Data Analytics Company focused on ‘Individual Consumer Data driven
Insights’ on mass scale to significantly enhance effectiveness of business
and marketing actions. We provide unique tailored solutions to each client
as compared to offering a standard package.
What makes us unique ?
Our proprietary algorithms apply machine learning to multiple digital touch-points
of 200+ million individual persona sourced from 47+ data sources, and continually
curate them to keep it “LIVE”. Thereon, we use trademarked predictive artificial
intelligence to draw insights and provide specific recommendations. These unique
capabilities allow us to enrich persona data from public domain with
not only demographic, but also behavioral & psychographic information on a
hyper-personalized scale.spoctoTM
Confidential | Do Not Forward Without Prior Authorization
OUR APPROACH
UNDERSTAND APPLY ANALYZE CREATEREMEMBER
REFERENCE: BLOOM’S DIGITAL TAXONOMY
spoctoTM
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ORGANIZE
WE PROVIDE
ORGANIZE
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Aggregate data from repositories across the organization
Normalize the data
Refine the data fields to eliminate duplicates
Define useable data to enable efficient data processing
DATA SUMMARY7500 -
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100%
1,148
19%
38%
10%33%
63%HIT RATIO
Issues Faced : “Systems Silos”, “Different Formats”
spoctoTM
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WE PROVIDE
CURATE
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CURATE
DATA ENRICHMENT
Demography Behaviour Psychography
ADDEDCLIENTAMENDINCORRECT
47+ data sources - to Evaluate, Amend, Purge, Enrich data depth
Customers constantly change preferences, 24x7 data capturing is the key
Seamlessly joining all the digital touchpoints/footprints of a consumer
Issues Faced : “Dynamic-Data Lifecycle Management”
spoctoTM
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WE PROVIDE
PERSONA
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PERSONA
Not just Demographic but also behavior & psychographic data
500-1000 data points per customer
Service as a Software - Single View Platform
Issues Faced : “Uni-Dimension View Of Customer”
spoctoTM
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INSIGHTS
WE PROVIDE
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INSIGHTS
Machine learning algorithms to learn and understand sharper & accurate insights
Defining segments to create insights, to learn more about your customers needs
Data becomes asset, newer insights for various functions across the organisation
INSIGHTS
Issues Faced : “Tools Ignore Behavior & Psychographic Data”
spoctoTM
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ACTIONABLES
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RECOMMENDATIONS
ACTIONABLES
Significantly improve marketing media mix
Consumer led segmentation to identify new sources of growth
“Look alikes” to identify newer potential consumers .
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WE PROVIDE
Issues Faced : “Action Indicators only Highlight Problem Areas”
spoctoTM
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SPOCTOLOGYTHE EDGE THAT DEFINES US
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SPOCTOLOGY - THE 4 V’STHE EDGE THAT DEFINES US
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VARIETY VELOCITY VERACITY
DATA IN MANY FORMS
Structured, Unstructured, Text,
Multimedia, Images
DATA IN MOTION
Streaming data, milliseconds to
seconds to respond
DATA IN DOUBT
Uncertainty due to data
incompleteness & latency
105
spoctoTM
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Understanding Big Data is the key topersevering in an enviornment that has gotten so large and so multi-dimensional that it can no longer be managed by traditional mindsets, thought process or tool.
VOLUME
DATA AT REST
Terabytes to Exabytes of existing
data to process
SPOCTOLOGY - 9 CATEGORY SOURCESTHE EDGE THAT DEFINES US
DOCSXLS, PDF, CSV, Email, Word, HTML,
Plain Text, XML, JSON etc.
MEDIAImages, Videos, Audios, Flash,
Live Streams, Podcast, etc
DATA STORAGESQL, NoSQL, Hadoop, Doc
Repository, File Systems, etc
BUSINESS APPSMarketing Automation, CRM, ERP, HR, Google Docs,
Intranets, Portals, Expense Management, etc
PUBLIC WEBGovernment, Weather, Traffic, Census,
Wikipedia, IMDB, Public Finance Stock, etc
SOCIAL MEDIATwitter, LinkedIn, Facebook, RSS, YouTube, Quora,Blogs, Slideshare, Flickr, Instagram, Snapchat etc.
MACHINE LOG DATAEvent Logs, Server Data, Applications Logs, Business
Process Logs, Mobile Location, Mobile App Usage,Clickstream Data, Audit Logs, etc
SENSOR DATAFitness Devices, Car Sensors, Road Cameras,
Satellites, Processors in Vehicles, VideoGames, Cable Boxes, etc
PUBLIC ARCHIVESScanned Documents, Statements,
Forms, Paper Archives, Public Records of Customers, etc
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SPOCTOLOGY - COHESIVE ASSESSMENTTHE EDGE THAT DEFINES US
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DOCS
MEDIA
DATA STORAGE
BUSINESS APPS
PUBLIC WEBSOCIAL MEDIA
MAC
HIN
E LO
G DA
TA
SENS
OR D
ATA
PUBL
IC AR
CHIV
ES
INTELLIGENCEBY
VERACITYManaging the reliability &
predictability of inheherentyimprecise data types
LOWMEDIUMHIGH
CLUSTERS & SEGMENTATIONS
VARIETY
VELOCITY
VOLUME
spoctoTM
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The preceding is intended to outline ourgeneral product direction. It is intendedfor information purpose only, and may notbe incorporated into any contract. It is nota commitment to deliver any material, code,or functionality, and should not be relied uponin making purchasing decisions. The development,release, and timing of any features orfunctionality described for spocto’s productsremains at the sole discretion of spocto.
WE TAKE DATA PRIVACY VERY SERIOUSLY
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THANK YOU!HELLO@SPOCTO.COMWWW.SPOCTO.COM
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Bridging GigabytesTo Gigasmiles......
spoctoTM
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ANNEXURES
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COMPANY INDUSTRY
EMPLOYEES TYPE
Starbucks Coffee Food & Beverage
10,000+ Persona Analytics
PURPOSE:
Starbucks collects data on its customer’s purchasing habits in order to send
personalized ads and coupon offers to the consumer’s mobile phones. The
company also identifies trends indicating whether customers are loosing
interest in their product and directs offers specifically to those customers in
order to regenerate interest.
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COMPANY INDUSTRY
EMPLOYEES TYPE
Heineken Food & Beverage
10,000+ Customer Segmentation
PURPOSE:
Thanks to its partnership with Google and Facebook, Heineken has access to
vasts amount of data about its customers that it uses to create real-time,
personalized marketing messages. One project provides real-time content to
fans who happen to be watching a sponsored event.
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COMPANY INDUSTRY
EMPLOYEES TYPE
Nestle Food & Beverage
10,000+ Persona Analytics
PURPOSE:
Customer complaints and PR crises have become more difficult to handle,
thanks to social media. To better keep track of customer sentiments and
what is being said about the company online., Nestle created a 24/7
monitoring centre to listen to all of the conversations about the company
and its products on social media. The company will actively engage with those
that post about them online in order to mitigate damage and build customer
loyalty.
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COMPANY INDUSTRY
EMPLOYEES TYPE
Kotak Mahindra Bank Finance - ARC
10,000+ Fraud Detection
PURPOSE:
Kotak Mahindra bank partner with spocto to detect the frauds, customers
intention of defaulting, and analysing the customers stature of repayment.
In case of any fraud, the ARC team receives his demographic data to track
the customer and take due legal actions.
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COMPANY INDUSTRY
EMPLOYEES TYPE
Lodha Group Real Estate
1001-5000 Customer Segmentation
PURPOSE:
Lodha combines psychographic, behavioral, deographic and internal data of
its walk-in customers, and then create segments. This enables its various
functions i.e., marketing, pre-sales & sales to do very targeted communication.
Lodha also uses this data to give priorities to all the segments, in regards with
conversions.
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COMPANY INDUSTRY
EMPLOYEES TYPE
Spotify Entertainment
1,000-5,000 Customer Segmentation &Behavioral Analytics
PURPOSE:
Spotify uses data from user profiles and user’s playlists, and historical data
on music played to provide recommendations for each user. By combining
data from millions of users, Spotify is able to make recommendations even if
a particular user doesn’t have an extensive history with the site..
spoctoTM
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COMPANY INDUSTRY
EMPLOYEES TYPE
Celcom Axiata Berhad Communication
1000-5000 Optimize Funnel Conversion
PURPOSE:
Celcom Axiata Berhad adopted a big data solution in order to improve customer
retention and boost its market share by improving the marketing campaign
process. The company used real-time data to create a personalized campaign
for each customer based on which products or offers the customer would most
want or need.
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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COMPANY INDUSTRY
EMPLOYEES TYPE
MasterCard Finance
10,000+ Persona Analytics
PURPOSE:
With 1.8 billion customers, MasterCard is in the unique position of being able to
analyze the behavior of customers in not only their stores, but also thousands
of other retailers. The company teamed up with few big data and analytical
partners to collect and analyze data on shopper’s behavior, and provide the
insights it finds to other retailers in benchmarking reports.
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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COMPANY INDUSTRY
EMPLOYEES TYPE
Time Warner Cable Entertainment
1,000-5000 Persona Analytics &Customer Segmentation
PURPOSE:
With services like Hulu and Netflix competing for viewer’s attention, Time
Warner collects data on how frequently customers tune in, the effect of
bandwidth on consumer behavior, customer engagement and peak usage
times in order to improve their service and increase profits. The company
also segments its customers for advertisers by correlating viewing habits with
public data - such as voter registration information - in order to launch highly
targeted campaigns to specific locations or demographics.spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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COMPANY INDUSTRY
EMPLOYEES TYPE
John Deere Farming
10,000+ Industry Specific
PURPOSE:
Sensors placed on John Deere equipment, along with historical
and real-time data on soil conditions, the weather and corp
features are all used together to help farmers determine where
and when to plant to get the highest yield, and how to boost the
efficiency of their work to reduce fuel cost.
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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COMPANY INDUSTRY
EMPLOYEES TYPE
Kayak Travel
200-500 Industry Specific
PURPOSE:
Kayak uses big data analytics to create a predictive model that tells
users if the price for a particular flight will go up or down within the
next week. The system uses one billion search queries to find the
cheapest flights, as well as popular destinations and busiest airports.
The algorithm is constantly improved by tracking the flights to see if
its predictions are correct.
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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COMPANY INDUSTRY
EMPLOYEES TYPE
Zions Bank Finance
1,000-5,000 Fraud Detection
PURPOSE:
Zion Bank uses data analytics to detect anomalies across channels that
indicate potential fraud. The fraud team receives data from 140 sources,
some in real-time, to monitor activity, such as if a customer makes a
mobile banking transaction at the same time as a branch or an ATM
transaction.
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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COMPANY INDUSTRY
EMPLOYEES TYPE
Walmart Retail
10,000+ Customer Segmentation
PURPOSE:
Walmart combines public data, social data and internal data to monitor what
customers and friends of customers are saying about a particular product
online. The retailer uses this data to send targeted messages about the product,
and to share discount offers. Walmart also uses data analysis to identify the
context of an online message, such as if a reference to ‘Salt’ is about the
movie or the condiment.
spoctoTM
Confidential | Do Not Forward Without Prior Authorization
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