Mega trends in information management

1 Software GroupConfidential
752: Mega trends in database and
information management
a.k.a. Dell Software Information Management –
evolving tomeet your data requirements
Guy Harrison
ExecutiveDirector,
R&DInformationManagement

Dell Research Division
Mobility and Internet of Things
6. BYOD is changing from “secure the device” to
“make it easy for me to use my device”
7. Internet of things. Opportunity for management,
coordination and security of devices, opportunity for
servers outside the data center
8. Wearable computing as next potential platform
Modern IT and Application Infrastructure
1. By 2018, majority of apps delivered as services,
majority of data will be in cloud
2. Software defined data center – disrupts the network
and storage leaders and allows the server leader to
win with software on servers
3. Telco networks will transform to software on
servers or as virtual appliances in cloud
4. App development moving to composite apps –
stitching of existing SaaS and PaaS components
Security
9. New usage paradigms in a connected world
needs new kinds of security – Dell opportunity is
to develop end-to-end security across our
products
10. Using analytics to detect abnormal user and
application behavior – big opportunity for Dell to
drive security analytics leadership
DellTechnologyOutlook
8
Big Data and Data Analytics
5. Most industries will integrate “Big data” analytics
into business processes to maintain competitive
edge. Dell can be the enabler for the SMB
through provision of infrastructure, analytic
solutions and data.
Source: IDC, Gartner, Forrester,EverestGroup, Company websites,Dellinternal.
8

Industry Mega-Trends
Mobility Cloud
Social BigData

Mobility
• Quad-core 1.4 GHz CPU
• 2GB RAM
• 32GB SSD
• 1080p display
• LTE/Bluetooth/WiFi
• 16MP & 2MP Camera
• GPS & Compass

Siri
From now on, I’ll call
you ‘An Ambulance’.
OK?
“Siri call me an
ambulance”
I found 14 bridges
nearby:
“I want to jump off a
bridge”

30 Software Group
Brain Control

36 Software Group
The instrumentedhuman
• Bluetooth Personal
Area Network
• 3G/WiFi Wide Area
Network
• GPS
• Storage
• Pulse, temp monitor
• Silent alarms
• Pedometer, sleep
monitoring
• Compass
• Camera
• Mike/earphones
• Heads up display
• Emotion/Attention
monitor

37 Software Group
Cloud and Internetof
Things

42 Software Group
Internetof Things
Market Drivers
• Declining device and sensor
costs
• Broad availability of network
connectivity and CPU power for
analytics
• Consumer Electronics (nest, etc)
• Regulations – e.g. Positive Train
Control by 2015
• Surveillance Society

44 Software Group
“Social media create a revolution in communicationsand will
definesociety’s evolution”
I need to pee
I peed
This is where I pee
Look at me peeing
Why do I pee?
I am good at peeing

45 Software Group
The culminationof cloud, social and mobile

46 Software Group
Will Big Data kill
retail?

47 Software Group
Prevalenceof Showrooming
0 10 20 30 40 50 60 70
Consumer Electronics
Home Improvement
Pct
Garter Research G00249458
Survey Analysis: Focus on Customer Basics to Challenge Amazon, as 'Showrooming' Is Universal but Not Unbeatable
Published: 12 February 2013

48 Software Group
Some novel defences

49 Software Group
Battlingshowrooming
Selection
Stock
Faster
Cheaper
Dynamic Pricing
Predictive ordering
Assortment optimization
Predictive
recommendations
Personalization

50 Software Group
Data and algorithms
are the key to retain
survival in the Big
Data era
• Online has significant advantages
• Retailers can only survive by embracing
online and emulating online practices
– Dynamic pricing
– Shelf optimization
– Personalized service and selection
• Only big data analytics can provide these
advantages

51 Software Group
There’s a similar
story in every
industry
Web
Transport
Power Grid
Dating
Retail
Security
FinanceGovernment
Science
Healthcare
Insurance
Telecom
Advertising

52 Software Group
Generatingcompetitive
advantage through “Big
Dataanalytics”
MachineLearning
Programsthatevolvewith
“experience”
Collective
Intelligence
Programsthatuseinputs
from “crowds’ toseem
intelligent
PredictiveAnalytics
Programsthatextrapolate
from existing datainto the
future
BigDataAnalytics
AKADataScience

53 Software Group
Collective
Intelligence

62 Software Group
Google Flu Trends

64 Software Group
Collective Intelligence
outsmarts Artificial
Intelligence?

69 Software Group
ArtificialIntelligence
Strikes back

74 Software Group
Watson is big data AI –
and was builton Hadoop

76 Software Group
Pioneers of Big Data

82 Software Group
Hadoop: Open Source
Map-ReduceStack

83 Software Group
Hadoop at Yahoo
Yahoo! Hadoop cluster:
• 4000 nodes
• 16PB disk
• 64 TB of RAM
• 32,000 Cores

84 Software Group
Economies
$4,911
$750
$0 $1,000 $2,000 $3,000 $4,000 $5,000 $6,000
Exadata
Hadoop
Exadata vs Hadoop $$/TB (Hardware only)

85 Software Group
Schema on Read vs
Schemaon Write
Data
Analyse
Aggregate
Norm
alize
Cleanse
Code
Extract
LoadTransform
Data
Warehouse
Data Load
Hadoop
Analys
e
Cleans
e
Code
Utilize
Schema on Write
Schema on Read
Utilize

86 Software Group
Generatingcompetitive
advantage through “Big
Dataanalytics”
MachineLearning
Programsthatevolvewith
“experience”
Collective
Intelligence
Programsthatuseinputs
from “crowds’ toseem
intelligent
PredictiveAnalytics
Programsthatextrapolate
from existing datainto the
future
BigDataAnalytics
AKADataScience

87 Software Group
Predictive Analytics
y = 0.9715x + 0.7191
-20
0
20
40
60
80
100
120
0 20 40 60 80 100 120
• Linear regression
• Non-linear (curve fit)
• Multivariate
• Time series
• Logistical Regression
• CART

88 Software Group
Classification
• Create a model that
identifies/classifies new
data
• Spam detection, churn
risk, customer value

89 Software Group
Clustering
• Group data without a
pre-existing
classification scheme
• For instance, basket
analysis

90 Software Group
Supervised
MachineLearning
Raw Data Clean
Validate
Model
Candidate
Model
Training Set
Validation Set
Production
Model
New Data
New
Business
Existing
Business
Prediction

91 Software Group
Inmaps.linkedin.com
Unsupervised learning

93 Software Group
Big DataAnalytics
Data Science
Search
Optimization
Recommendation
Systems
Security
•Vulnerability
•Penetration
Detection
Fraud Detection
CRM
•Churn
•Defaults
Medical
•Risk analysis
•Diagnosis
•Prognosis
Game
optimization
Advertising
•Targeting
•Tailoring

94 Software Group
DataScience is hard
• Machine learning, collective
intelligence, Hadoop,
predictive analytics, R, Weka,
Mahout, are HARD
• Small-medium businesses
need help to compete

95 Software Group
DataScientists to the
rescue?

DellSoftware
InformationManagement
MattWolken
Vice President, Information Management Business

Agenda
• What is Information Management and how it fits in Dell Software
• The “data problem” aka why you should care
• Dell’s perspective and our solutions
– Analytics & integration
– Database management

Dell Software solutions
Data center & cloud
management
• Endpoint management
• Performance management
• Virtualization & cloud mgmt
• Windows server mgmt
• Application enablement/delivery
• Desktop virtualization
• Mobile device mgmt
• Mobile security
Information
management
• Application & data integration
• Business intelligence & Big data
analytics
• Database management
Mobile workforce
management
• Email security
• Endpoint security
• Identity & access management
• Network security
Security Data protection
• Application protection
• Disaster recovery
• Enterprise backup/recovery
• Virtual protection

Information
Management
Database management
Application & data
integration
Business intelligence and
Big data analytics
Manage
data across
structured
and
unstructured
data sources
Integrate
disparate
data stores,
both on-
premise and
off-premise
Discover
trends and
make
informed
decisions
with analysis
based on all
data

Data is beingcreatedand consumedat a rapid pace
247 Billion
Emails are sent everyday.
80% are spam.
$232 Billion
dollars will be spent on Big
Data through 2016.
$600 Billion
Dollars in waste annually for bad
data or poor quality data.
4.4 Million
IT jobs globally will be
created to support big data.
Only 1/3 will be filled.
37.5%
of large organizations said that
analyzing big data is their
biggest challenge.
70%
of data is created by individuals.
Enterprises are responsible for
storing and managing 80% of it.
1.8 Zettabytes
of business data in use in 2011,
up by 30% from 2010.
48 Hours
of video are uploaded to
YouTube every minute,
resulting in 8 yrs of content
daily.
100 Billion
RFID tags estimated to be
sold in 2015.
Sources: https://www.espatial.com/articles/20-shocking-facts-and-figures-about-big-data/

Historically, data was stored mostly in relational databases
Structured Data
Database
Extract, Transform, Load (ETL)
Data provisioning
Data warehouse
Database management
Data analysis
Trained StaffTool Chain

Petabyte
Exabyte
Zettabyte
Terabyte
Market situation: Data growth has skyrocketed
Multiple data types from many sources
Transactional
Data
Generated and
stored in databases
• Structured
• Measured growth
Human Files
Content created
outside databases
• Facebook, Twitter, RFID,
cell phone etc.
• Multiple formats and
different speeds of data
creation
• Exponential growth
• Docs, Images, Video
• Multiple formats
• Fast growth
Social & Sensor
data
Increased exponentially

103 Software Group
The industrial Revolution of
data

Market problem: Data silos->fractured tool chain->fragmented analysis
Structured
Database 1
Extract, Transform,
Load (ETL)
Data provisioning
Data warehouse
Trained Staff
Tool Chain
Database
management
Analysi
s
Analysi
s
Analysi
s
Analysi
s
Analysi
s
Structured
Database 2
Extract, Transform,
Load (ETL)
Data provisioning
Data warehouse
Database
management
Trained Staff
Tool Chain
Text
Data store
Extract, Transform,
Load (ETL)
Data provisioning
Data warehouse
Data management
Trained Staff
Tool Chain
Sensor
Data store
Extract, Transform,
Load (ETL)
Data provisioning
Data warehouse
Data management
Trained Staff
Tool Chain
Social
Data store
Extract, Transform,
Load (ETL)
Data provisioning
Data warehouse
Data management
Trained Staff
Tool Chain`
App & Data Integration

Dell Information Management solutions break data silos, manage, integrate
and discover trends in all data
• Foster collaboration between IT
and Line of Business
• Empower more people by offering
self service access to data
• Make informed decisions today
and into the future
OneVendor –Intuitive Tool Chain- All Data
Manage
Integrate
Structured, text, sensor, and social
Data store
Extract, Transform, Load
(ETL)
Data provisioning
Data warehouse
Data management
Trained Staff
Tool Chain
Discover

Toad is abest of breed productivity tool for DBAs and developers
Oracle
SQL Server
Sybase
Hadoop
DB2
NoSQL
Cloud
Eclipse
MySQL
Repeatedly named #1 in database
development and optimization by IDC1
Over 2 million users, and 3 million visitors to
online community Toad World toadworld.com
Similar user experience across different DB
platforms
1. Source: IDC, “Worldwide Database Development and Management Tools 2013-2017 Forecast and 2012 Vendor Shares” (Doc #242376)

SharePlex: Zero downtime migrations: DB, OS, Apps
• Oracle database migrations
• Expired support on older versions
• New features / functionality in newer versions
• Change in edition: Standard / Enterprise
• OS migrations/change hardware vendors
• Moving to new servers (e.g. Solaris to Linux)
• Exadata, RAC, cloud or virtualized environments
• Provide a copy of data to a different platform
(i.e. Oracle to Sybase, Oracle to Hadoop)
• Storage migrations
• Replace with newer / faster disc array
• Reduce risk during application upgrades
• Upgrade the application to a newer version
• Coincides with a hardware and / or database
upgrade
Database
Operating
System
Application
Custom
Apps

Cloudapps
Boomiintegrates apps and data stores
On-premise
128-bit encryption
(metadata only)
Data
DataData
External firewall

Toad enables self-service BI
Toad Data Point
(Querying and Data Prep)
Toad Intelligence
Central
(Data mashups &
Collaboration server)
Toad Decision Point
(Data discovery &
visualization)
Presentation Layer
Share workbooks
Data Sources
RDBMS Big Data Data
warehouses
Desktop Cloud
apps
BI
sources
Ensures IT governance
Provides rapid and governed access to all
traditional and emerging data sources
Enables self service access
Easily access underlying data sources using self
service tools
Increases ROI of existing BI
Complements existing tools and easily snaps into
IT/BI and LOB systems
Fosters collaboration between IT and LOB
Bridges the gap between business users and IT
with tools that enable collaboration

Leveraging Data & Analytics presents
enormous potential for organizations
of CIO’s say
they plan to
expand
Analytics this
year or
next
Ranking of
Analytics & BI
in Gartner CIO
survey of top
technology
priorities (2013)
Employment
opportunity. By
2015, 4.4M IT
jobs globally
will be created
to support big
data, 1.9M IT
jobs in US
alone!
#1 70% 1.8ZB#1 57%
of mid-market
companies
consider
business
analytics critical
to operations
90% of all the
data in the world
has been
generated over
the last two
years

The potentialbenefits are real and are already
being experienced today!
Which statement best describes the value you’ve
seen from your predictive analytics efforts?
We have measured positive top- and bottom-
line impact
We have measured top-line impact only
We believe that we have become more
effective, but can’t measure top-line impact
We have measured a cost reduction only
We believe we have become more efficient,
but cannot measure impact
We have gained more insight
36%
7%
18%
2%
12%
25%
Based on 126 active respondents.
Companies that rate themselves
substantially ahead of their peers in
their use of data are
more likely to rate themselves
as substantially ahead in financial
performance, according to findings from
the Economist Intelligence Unit.
Information Week: State of Analytics report Dec 2013 www.cio.com/article/730457/Data_Driven_Companies_Outperform_Competitors_Financially?page
=2&taxonomyId=3002
3X

Great data driven opportunities abound but problems emerge with
data complexity…
Data growth brings opportunity…. ….but, there are new challenges
1 in 3
Organization leaders frequently
make decisions based on
Information they don’t trust, or
don’t have
Organization leaders say they
don’t have access to the
information they need to do
their jobs
Of CXOs agree they have more
data than they can use
effectively
1 in 2
60%
IDC, Gartner miscellaneous reports

Keycomponentstobuildend-to-
endBI/Analyticssolutions
Dell’s offering was not complete…
Data Integration
Database
Management
Advanced Analytics
Business Intelligence
Server and Storage Server and Storage
TOAD & Shareplex
TOAD BI
Boomi
Kitenga
In order to address
the demands that
face mid-market
customers, Dell must
offer end-to-end
solutions enabled
with advanced
analytic capabilities

• Highest Business Value and Complexity From Predictive Analytics
• There Remains a Dearth of Flexible, Configurable, and Reliable
Predictive Analytics Solutions
Evolution of BI Solutions
Query, reporting, & search tools
OLAP
Dashboards, scorecards
Predictive analytics: IBM, SAS, StatSoft
Business Intelligence Technologies
[1] Source: Gartner2012

Dell acquires Statsoft
Data Integration
Database
Management
Advanced Analytics
Business Intelligence
Server and Storage
STATISTICA
Server and Storage
TOAD & Shareplex
TOAD BI
Boomi
Kitenga
Keycomponentstobuildend-to-
endBI/Analyticssolutions
Dell + StatSoft =
completes a strong
end-to-end analytics
driven information
management value
proposition

Confidential
StatSoft is well recognized in the industry
“I see a significantly expanding market for predictive analytics software. The best
strategy [for Stinger] might not be to go directly after SAS, but rather fill the need
for all the new customers who are intimidated by SAS or IBM especially in the
mid-market” Mike Gualteri at Forrester
1 Acquired by SAP Sep 2013
StatSoft
StatSoft

Confidential
11
7

Confidential
Data Visualization
11
8

Confidential
Live scoring –integration into operational systems
11
9

Confidential
Industry and cross-industry packagedsolutions
12
0

Over 30 years of InformationManagement softwareexperience
Tool for Oracle
Application
Development
born in 90’s
Quest
Software
acquires
TOAD in 1998
TOAD expands
support for
Microsoft SQL
Server, Sybase,
IBM DB2, and
MySQL in
2000’s
In 2009, TOAD
supports
NoSQL,
Hadoop,
MongoDB,
Cassandra,
SimpleDB,
Azure
Later in
2009 Toad
Data Point
is launched
for data
analysts
2010 Dell
Acquires
Boomi
2011 Toad
Decision
Point is
launched
for
business
users
2012 Toad
Intelligence
Central
launched for
collaboration
2012 Dell
acquires
Quest
Software &
Kitenga Big
Data
Analytics
2013 Toad
BI Suite 2.0
Boomi
Created in
2000
2013
Boomi
MDM
launched
Social
Network
Analytics
Platorm
Quest creates
SharePlex in
1999
Quest creates
Spotlight in
2000
2012 Dell
launches
Quickstart
Data
Warehouse
to solve
needs of
SMB
2014 Dell
Acquires
StatSoft
Dell & StatSoft
founded in
1984

122 Software Group
Visit the DellSoftware Booth
Enter for a chance to win a Dell
Venue Pro 11 tablet
Draw is at
2:45pm
Thursday

Please complete the session
evaluation on the mobile app
We appreciate your feedback and insight
guy.harrison@software.dell.com
@guyharrison
Guyharrison.net

Mega trends in information management

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