Selected Talk by Bryan Drexler, Vice-President, EMEA, at the European Data Forum 2013, 10 April 2013 in Dublin, Ireland: The 80/20 Rule and Big Data

1. European Data Forum 2013:
The 80/20 Rule and Big Data
Bryan Drexler, Vice-President, EMEA
April 10, 2013

2. The 80/20 Rule
Our Observation: The 80/20 rule says that 80% of the
revenue comes from 20% of a company’s customer
base.
Our Question: in the Era of Big Data, does the 80/20 Rule
Still Apply?
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3. Big Data Definition
 Data that’s an order of magnitude greater than data
you’re accustomed to.
-Gartner analyst Doug Laney
 Big data is a collection of data sets so large and complex
that it becomes difficult to process using on-hand
database management tools.
-Wikipedia
 ‘3 Vs’
 Volume
 Velocity
 Variety
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4. Big Data Analysis in the Real World
 Major Telco
 Did a Pay-Per-View event cannibalize the use of another
video service?
 Mobile phone data plan
 What percentage of the
monthly data plan was
used up by this
Pay-Per-View event?
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5. Jaspersoft Big Data Survey
 General
 July 2012
 631 completed responses
 Demographics for filtered responses
 80% technical audience with 59% developers
 75% responses from 6 industries:
Hi-Tech, Financial Services, Pharma/Healthcare/Biotech, Business
Services, Government, Telco
 Embedded internal 44%, standalone 33%, embedded external 22%,
Cloud 11%
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6. Jaspersoft Big Data Survey -- Results
 Big Data deployment
 62% already deployed, in development or planning
to in next 12 months
 Volume
 86% need Terabytes of data
 Variety
 Enterprise apps most common source, then
machine-generated, then text
 53% web logs
 41% e-commerce data
 36% financials
 35% CRM
 Velocity
 46% need real-time or near real-time
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7. Who is looking for Big Data Analytics?
 Web/E-Commerce/Internet  Insurance
 Integrated website analytics  Customer segmentation
 Retail  Service response optimization
 Competitive pricing  Financial Services
 Customer segmentation  Fraud detection analytics
 Predictive buying behavior  Risk modeling & analysis
 Real-time recommendation generation  Marketing campaign management
 Marketing campaign optimization
 Manufacturing
 Government  Inventory optimization


Defense intelligence analysis
Threat analytics
 Utilities
 Customer experience analytics
 IT  Service quality optimization


Network data analytics
Operational intelligence
 Media & Cable
 Customer satisfaction analytics
 Healthcare & Pharmaceutical  Truck dispatch optimization
 Drug discovery  Marketing performance analytics
 Gene/Protein/Molecule sequencing and correlations
 Legal
 Telecommunications  Intellectual property management
 Churn / attrition analysis  Regulatory compliance
 Customer experience analytics
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8. How Can Big Data be Analyzed?
Approach Data Exploration Operational Reporting Analytics
Use Case For data analysts and data scientists For executives and operational For data analysts and operational
who want to discover real-time managers who want summarized, managers who want to analyze historical
patterns as they emerge from their pre-built daily reports on Big Data trends based upon pre-defined
Big Data content content questions in their Big Data content
Latency Low Medium High
Big Data HBase, NoSQL, Analytic DBMS Hive, NoSQL, Analytic DBMS Hadoop, NoSQL, Analytic DBMS
Connectivity Native Native, SQL ETL
Architecture
Multi-Dimensional Multi-Dimensional
Analysis Analysis
Reports &
Dashboards
In-Memory Engine OLAP Engine
BI Platform BI Platform BI Platform
Native Native SQL
ETL
BIG BIG Data BIG
DATA DATA Mart DATA
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9. Jaspersoft Customer examples
Hadoop: Campaign effectiveness
metrics on >10 TB
Hadoop: Nightly Dashboards to
optimize gaming experience
MongoDB: Self-Serve embedded
visualization & analytics for 2 TB of
media management data.
Vertica: Ad Hoc access to 8 TB for
marketing analytics
Vertica: OLAP access to billions of
records for Intrusion Detection System
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10. The 80/20 Rule
Our Observation: The 80/20 rule says that 80% of the
revenue comes from 20% of a company’s customer
base.
Our Question: in the Era of Big Data, does the 80/20 Rule
Still Apply?
Our Answer: More Than Ever… The volume, variety, and
velocity of data and new ways of analyzing them are
creating opportunities for greater insights and improved
partnerships between customers and clients.
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11. Additional Resources
 http://community.jaspersoft.com/big-data
 http://www.jaspersoft.com/bigdata
 http://www.BigDataUniversity.com
 bigdata@jaspersoft.com
 Big Data books
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12. Thank You and Q & A
Contact Information:
Bryan Drexler
Vice-President, EMEA
bdrexler@jaspersoft.com
(0)1 442 83 62
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