big data + mobile + social
DESCRIPTION
This presentation outlines ways that data already affects our lives, how integration with social and mobile can sometimes lead to the wrong conclusion by not taking into consideration the motivation behind the data, and how big data could potentially work to our benefit.TRANSCRIPT
![Page 1: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/1.jpg)
#xSoMoBi
Tuesday, March 12, 13
![Page 2: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/2.jpg)
Tuesday, March 12, 13
![Page 3: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/3.jpg)
“... software is eating the world”
Marc Andreessen - Entrepreneur/InvestorWSJ - 20AUG2011
Tuesday, March 12, 13
![Page 4: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/4.jpg)
Tuesday, March 12, 13
![Page 5: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/5.jpg)
“Data ... LOTS of DATA.”
Tuesday, March 12, 13
![Page 6: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/6.jpg)
Business Intelligence is
dead
Tuesday, March 12, 13
![Page 7: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/7.jpg)
Business Intelligence is
deadLONG LIVE
BUSINESS INTELLIGENCE!
Tuesday, March 12, 13
![Page 8: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/8.jpg)
WELCOME TOBusiness Intelligence
2.0
Tuesday, March 12, 13
![Page 9: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/9.jpg)
WELCOME TOBusiness Intelligence
2.0
Tuesday, March 12, 13
![Page 10: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/10.jpg)
WELCOME TOBIG DATA
Tuesday, March 12, 13
![Page 11: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/11.jpg)
Any information is only as good as its
________[SOURCE]
Tuesday, March 12, 13
![Page 12: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/12.jpg)
“We have Petabytes of Clickstream data”
Tuesday, March 12, 13
![Page 13: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/13.jpg)
...but, can you use it ?
Tuesday, March 12, 13
![Page 14: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/14.jpg)
Even if you can, will it be #useful ?
Tuesday, March 12, 13
![Page 15: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/15.jpg)
...wait, what IS“BIG DATA” ?
Tuesday, March 12, 13
![Page 16: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/16.jpg)
It’s all about the context.
INFORMATION + INSIGHTS= CONTEXT
Tuesday, March 12, 13
![Page 17: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/17.jpg)
+Tuesday, March 12, 13
![Page 18: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/18.jpg)
RIGHT DECISIONS
INFORMATIONTIME
DEVICE=
ANYONEANYWHEREBETTERFASTER
BIG DATA
{}}Tuesday, March 12, 13
![Page 19: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/19.jpg)
Data + Transformation
Rules + Feedback + Patterns
Information + Insights
INFORMATION
INSIGHTS
BIG DATA
$$$+ SERVICESBIG DATA
Tuesday, March 12, 13
![Page 20: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/20.jpg)
Geo Locate the user.
Identify the IP address based on geo-location.
Designated Market Area precision.
Geofences around “hot-spots”.
#Fail
REAL WORLD EXAMPLE
Tuesday, March 12, 13
![Page 21: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/21.jpg)
How does the “system” know - you are a Mom ?
Tuesday, March 12, 13
![Page 22: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/22.jpg)
First we “profile” a lot of users - Behavioral Dynamics
Then we begin “associating” you with those profiles - Heuristic driven rules.
We find out that you are a “woman” - Training sets -> Increased Confidence
We then identify patterns - Clustering based data mining
HOW WE DO IT
Tuesday, March 12, 13
![Page 23: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/23.jpg)
LIKELIHOOD OF BEING A MOM
and toy store browsing late in the afternoon.
Data from the “same user”
when they were near a school in the morning on a weekday
and when they were at a nail salon during school hours
+++
Re-affirmation of the pattern
ID’ed using Device impression
Pattern of a parent
Pattern of a female user
+++}
Tuesday, March 12, 13
![Page 24: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/24.jpg)
BIG DATA
INTERPRETABLE UNINTERPRETABLE
INFORMATION
IRRELEVANT RELEVANT
Tuesday, March 12, 13
![Page 25: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/25.jpg)
RELEVANT INSIGHTSIGNALNOISE
UNINTERPRETABLE
Tuesday, March 12, 13
![Page 26: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/26.jpg)
Big Data
Velocity
Volume
Variety
Batch
Streaming Data
Zettabytes Terabytes
Unstructured Data
Structured Data
Tuesday, March 12, 13
![Page 27: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/27.jpg)
BIG DATALANDSCAPE
Tuesday, March 12, 13
![Page 28: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/28.jpg)
Analytics Infrastructure
Operational Infrastructure
Infrastructure Asa
Service(IAAS)
Oracle
MySQL
Structured Databases
Analytics and Visualization
Business Intelligence
Data Providers
Log Data Apps Vertical Apps
Hadoop MapReduce Apache HBASE Cassandra
BIG DATA LANDSCAPE
Tuesday, March 12, 13
![Page 29: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/29.jpg)
DATA IN MOTION
vs.DATA AT REST
Tuesday, March 12, 13
![Page 30: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/30.jpg)
APPLICATIONSvs.
ANALYTICS
Tuesday, March 12, 13
![Page 31: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/31.jpg)
DATA VELOCITY vs.
JUDGEMENT CALL
Tuesday, March 12, 13
![Page 32: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/32.jpg)
$28 billion of IT spend through 2012
2 million jobs in the tech industry by 2015
6 million across other industries.
HOW BIG IS BIG ?
Tuesday, March 12, 13
![Page 33: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/33.jpg)
MOBILE +BIG DATA
Tuesday, March 12, 13
![Page 34: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/34.jpg)
It’s not just about Push.
Context
Real Time analysis using time, geo-data and Social Updates
WHERE DOES MOBILE FIT IN?
Data Layer Transition is in full swing
Push Notifications via Intelligent Alerts
Tuesday, March 12, 13
![Page 35: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/35.jpg)
User specific themes - based on memory
(usage + history)
Context
Mutual value addition to the Data
WHERE DOES MOBILE FIT IN?
INTERACTIVEPinch, Swipe, Zoom, and Drag/Drop data sources
Tuesday, March 12, 13
![Page 36: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/36.jpg)
COEXISTENCE [SoMoBi]
60%
60%
50%
30%
Tuesday, March 12, 13
![Page 37: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/37.jpg)
Internet of Things
M2M --> P2M
COEXISTENCE [SoMoBi]
70% abandonment rate^ what does this mean?
Tuesday, March 12, 13
![Page 38: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/38.jpg)
VERTICALS +BIG DATA
Tuesday, March 12, 13
![Page 39: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/39.jpg)
SALESSocial + Context + Location = $$$
Facebook + Twitter + Foursquare notifications
Identify trends that lead to poor leads + losses
Tuesday, March 12, 13
![Page 40: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/40.jpg)
Personalized products
Interpreting network data
Minutes not Hours.
TELECOM
Tuesday, March 12, 13
![Page 41: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/41.jpg)
Aging Infrastructure
Traffic Data, Sewer Level monitoring
High Costs of Maintenance
Fight Crime
URBAN PLANNING
Tuesday, March 12, 13
![Page 42: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/42.jpg)
Fraud Analysis + Risk + Compliance
Copyright + IPP
“This call may be recorded for Quality Assurance and Training purposes”Sentiment Analysis and Social Media
OTHER SECTORS
Tuesday, March 12, 13
![Page 43: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/43.jpg)
McKinsey Report on Big Data - 2012
Tuesday, March 12, 13
![Page 44: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/44.jpg)
Predicting Unemployment
Foreclosure
$
Tuesday, March 12, 13
![Page 45: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/45.jpg)
BIG DATABECKONS...
Tuesday, March 12, 13
![Page 46: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/46.jpg)
“Meta”
“Big”
“Swoooooosh”
“Privacy”
“Structure”
BIG DATA IN ACTION
Tuesday, March 12, 13
![Page 47: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/47.jpg)
Skynet’s here.
Pay for Privacy
Avoid Stalkers
76 working daysPrivacy advocates vs Company Policy
BIG DATA ADOPTION
Tuesday, March 12, 13
![Page 48: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/48.jpg)
“BIG DATA has it’s roots in good data”Data Exhaust is no longer an excuse.
Not a replacement, but a complement.
INTEGRATION.Tuesday, March 12, 13
![Page 49: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/49.jpg)
“BIG DATA has it’s roots in good data” - anonymous brilliant thinker(s)
Data Exhaust is no longer an excuse.
Not a replacement, but a complement.
INTEGRATION.Tuesday, March 12, 13
![Page 50: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/50.jpg)
THANK YOU,
Tuesday, March 12, 13
![Page 51: Big data + mobile + social](https://reader033.vdocuments.net/reader033/viewer/2022051819/54c7cb0a4a7959ff238b45f4/html5/thumbnails/51.jpg)
04.25.2013
06.20.2013#show&tell
#mobileGAMES
(open call)
(all play & no work)Tuesday, March 12, 13