How Can Analytics Improve Business?

Grab some coffee and enjoy
the pre-show banter before
the top of the hour!

“How
Can
Analy,cs
Improve
Business?”
TechWise
Webcast
|
July
23,
2014

+
Guests
Host: Eric Kavanagh
CEO,
The Bloor Group
Dr. Kirk Borne
Data Scientist,
George Mason University
Dr. Robin Bloor
Chief Analyst,
The Bloor Group
PLUS:
Will Gorman Chief Architect, Pentaho
Steve Wilkes CTO, WebAction
Frank Sanders Technical Director, MarkLogic
Hannah Smalltree Director, Treasure Data

Analytics Can Help a Business:
• Streamline operations
• Improve marketing
• Raise revenue
• Identify opportunities
• Assess plans
+
Executive Summary

Dr. Kirk Borne
Data Scientist, George Mason University
+

Big Data Analytics for
Data-to-Decisions Support
Kirk Borne
George Mason University, Fairfax, VA ● www.kirkborne.net @KirkDBorne

Extrac,ng
Knowledge,
Insights,
and
Data-‐to-‐Decisions
(D2D)
from
Big
Data
is
hard!

The D2D Challenge**
1. Characterize and
!me
flux
Contextualize first.
2. Collect and Curate
each entity’s features.
…then Come to the
data-driven decision!
• Data-to-Discoveries
• Data-to-Decisions
• Data-to-Dollars

Characteriza,on
&
Contextualiza,on
Feature & Context Detection and Extraction:
• Identify and characterize features in the data:
– Machine-generated
– Human-generated
– Crowdsourced? (= Tapping the Power of Human Cognition
to find patterns and anomalies in massive data!)
• Extract the context of the data: the source, the channel,
the data user, the use cases, the value, the re-uses …
where, when, who, how, what, why = Metadata!
• Curate these features for search, re-use, and D2D!
• Find other parameters and features from other data
sources and databases – integrate all information to
help characterize & contextualize (and ultimately make
decision regarding) each new event.

Characterization via Tagging & Annotation
• Report entity’s features & characteristics back to the
database for search, retrieval, sharing, and reuse
• Individual (or groups of) entities (objects and/or
events) are tagged and annotated ...
– with new knowledge discovered
– with related data/information of any kind
– with common knowledge about those things
– with inter-relationships between entities and their properties
– with concepts
– with context
– i.e., assertions (e.g., classifications, interpretations, quality
flags, relationships, references, common knowledge,
learned knowledge, inter-connectivity with other entities)
– with data collection parameters
– with sensor channel descriptors
Semantics!
Data integration
Provenance
(for data curation)

Then
what?
Get down to business with the Curated
Collection of Characterizations and
Contextualizations:
• Data Analytics:
– Outlier / Anomaly / Novelty / Surprise detection
– Clustering (= New Class discovery)
– Correlation & Association discovery
• D2D:
– Data-to-Discoveries
– Data-to-Decisions
– Data-to-Dollars

The
Business
Analyst-‐in-‐the-‐Loop
Tags,
annota,ons,
features,
and
context
–
– These
can
be
…
• measured
(by
observa,on),
or
• inferred
through
machine
learning,
or
• provided
by
human
analysts.
– The
resul,ng
synergy
yields:
• improved
or all 3 of these
processes
simultaneously.
training
sets,
more
accurate
predic,ve
models,
fewer
false
posi,ves/nega,ves,
ac,ve
learning,
efficient
human
interven,ons
– Combining
machine
learning
on
Big
Data
with
the
power
of
human
cogni,on
for
discovery
(e.g.,
using
Data
Visualiza,on,
Visual
Analy,cs,
Immersive
Data
Environments,
or
Crowdsourcing)
therefore
augments
and
accelerates
discovery,
insights,
and
D2D.

Dr. Robin Bloor
Chief Analyst, The Bloor Group
+

The
Data
Scientist
&
The
Business
Analyst
Robin Bloor

The Data Analysis Budget
u Data Analysis is
Business R&D
u The focus is on
business process
u The outcome of successful
R&D is a changed process
u Think of manufacturing for
a useful example

What is a Data Scientist?
u Project manager
u Qualified statistician
u Domain Business expert
u Experienced data
architect
u Software engineer
(IT’S A TEAM)

The Impact of Machine Learning
Machine learning is changing the process
(for the BUSINESS ANALYST & the DATA SCIENTIST)
BUT the analytics team needs to understand IT!!

Take Note!
You can know more
about a business
from its data than
by any other
means

There are Two Issues for the Business
Can you get the
Can you get the
TECHNOLOGY right?
PEOPLE right?
&

+
Will Gorman
Chief Architect, Pentaho

© 2014, Pentaho. All Rights Reserved. pentaho.com. Worldwide 24 +1 (866) 660-7555
July 2014
Pentaho Business
Analytics
Architected for the
Future of Analytics
Will Gorman, Chief Architect

WHAT WE DO
We enable the modern, big data-driven business
Modern, cohesive data integration and business analytics platform
• Full spectrum of advanced analytics for all key roles
• Embeddable, cloud-ready analytics
• Big data blending for analytics in real-time environments
• Broadest and deepest big data integration
Innovation through open source
• Open, pluggable, purpose-built for the future
• Early sustained leadership in big data
ecosystem with technology innovation
Critical mass achieved
• Over 1,500 commercial customers
• Over 10,000 production deployments

Pentaho 5.1 Architected for the Future
Simplified analytics @ scale for all users

Evolving Big Data Architectures
Existing
ETL Tool
or PDI
EDW
Data
Marts
Analytics
Existing
ETL Tool
or PDI
Customer
Provisioning
Billing
Other
BI Tools

Evolving Big Data Architectures
Existing
ETL Tool
or PDI
P Just-in-Time Integration
D
I
Network
PDI
Analytic
DB
Location
Web
Social Media
Existing
Process
or PDI Hadoop
Cluster
NoSQL
EDW
Data
Marts
Analytics
Existing
ETL Tool
or PDI
Customer
Provisioning
Billing
Other
BI Tools

The strength of Pentaho
lies in the power of combination
Data
integration
Big data +Any data
Business
+analytics
The IT
department
Lines of
+business
Any data. Any environment. Any analytics.

Thank You
JOIN THE CONVERSATION. YOU CAN FIND US ON:
blog.pentaho.com
@Pentaho
Facebook.com/Pentaho
Pentaho Business Analytics

Steve Wilkes
CTO, WebAction
+

The Future of Data Driven Apps
July 2014

WebAction® delivers the leading
Real-time App Platform
enabling the next generation of
Data Driven Apps
for the Agile Enterprise

Acquire Store Process
Batch Reactive
RDBMS EDW BI / Analytics
Structured
Data
Machine
Data
Click Location
Stream
Structured
Data
Machine
Data
Real-time Proactive
Click Location
Stream
REALTIME BARRIER
Data Driven
Apps
RDBMS
Hadoop
Acquire Process in Memory Store

Distributed DIM
Processor
Distributed
WAction Cache
Metadata
High Speed Data Acquisition
WActionStore
Transaction Data
Social Feeds
Tungsten Device Data Visualization
RDBMS
Big Data
Infrastructure
Industry Data
Enterprise
Applications
Enterprise Data
Warehouse
Data Driven Apps
System/ IT Data

Security
Event
Processing
Cloud
Application
Control
Risk & Fraud
Alerting
Quality of
Service
Management
Consumer
Analytics
DataCenter
Management

Frank Sanders
Technical Director, MarkLogic
+

Universal Index Powers Search & Analytics
<location>
<lat>
37.497075
<long>
-122.363319
Unstructured full-text
<object>
<SAR>
<title>
Suspicious vehicle…
<date>
2012-11-12Z
<type>
<threat>
suspicious activity
<category>
suspicious vehicle
<description>
A blue van…
<subject>
<subject>
<predicate>
<object>
IRIID
IRIID
isa
value
license-plate
<predicate> ABC 123
observation/surveillance
<type>
<triple>
<triple>
Geospatial
Va l u e s

Fairfax County Police Events Application

OECD Better Life Index

MarkMail: Search-powered Visualization

Hannah Smalltree
Director, Treasure Data
+

The Treasure Data Cloud Service
Store!
Cloud Storage!
Managed, Monitored,
Scalable, Secure!
Web Mgmt. Console!
View/query data,
Access controls!
Collect!
Stream !
Logs/Events in
Real-time!
Bulk Import!
from Most
Sources!
Copyright
©2014
Treasure
Data.
All
Rights
Reserved.
Analyze!
Query with SQL
Multiple Query
Engines, Ad Hoc!
!
!
BI Tool Connectivity!
Tableau, Most BI/Viz/
Analytics Tools!
Export!
Query Results
or Datasets!
Anytime!
Cloud Managed Service (SaaS) || <2 Week Setup || Flat monthly rate!

Specializing in Streaming “BIG” Data
Volume
Velocity
Variety
Examples:
Clickstream,
Web
Access
Logs,
Mobile
Data,
App
Logs,
Event
Logs,
Sensors,
Machine
Data…
Copyright
©2014
Treasure
Data.
All
Rights
Reserved.

Big Data Analytics Use Cases
Use Case! Key Data Sources! Results! Treasure Example!
Copyright
©2014
Treasure
Data.
All
Rights
Reserved.
Website & "
Mobile App "
Behavior Analytics"
Mobile App Clicks "
Web Clickstream"
+ eComm, POS"
Increase sales and
retail foot traffic within
weeks"
Mobile Application
Analytics"
Mobile Application
Logs"
Increase Engagement
(=Sales) by Iterating
Quickly"
Product Behavior "
& Sensor Analytics"
Sensor Data"
Improved Product
Development"
"
New Product/Service
Development"
$216B
Global
Retailer
Video
Games

Treasure Data In Your Analytics Environment
Collect" Store" Analyze"
Copyright
©2014
Treasure
Data.
All
Rights
Reserved.
Your"
Server,"
Device,"
Gateway"
etc…"
SQL"
Your BI,
Visualization"
Adv. Analytics"
Your Data Mart"
Data Warehouse"
DBMS, etc."
Streaming" Treasure Data Service"
Aggregates"
Export/Integrate"

Copyright
©2014
Treasure
Data.
All
Rights
Reserved.
Resources
TreasureData.com!
Datasheets, Case Studies, Whitepapers!
TDWI, 451, Analyst Whitepapers!
Gartner Report: Cool Vendors in Big Data!
!
Try the Starter Service For Free!
TreasureData.com/TryItNow!

+
Questions?
#TechWise
or
USE THE Q&A

+
THANK
YOU!
FIND THE ARCHIVE AT
InsideAnalysis.com & Techopedia.com

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