The Briefing Room with Dr. Robin Bloor and IBM Information Management
Live Webcast Nov. 19, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7808847&rKey=73cc8052da2d9962
The bigger data volumes get, the wider the range of sources available, the more companies need to secure a strategic view of their information assets. This is no small challenge for all kinds of reasons, not the least of which is access to the growing array of valuable data sets available. Today's most innovative companies are using creative solutions to ride the information wave.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor, as he explains how the unbridled growth of data and information systems requires a holistic approach to information access. He will be briefed by Mark Myers and Scott Parker of IBM, who will showcase the company’s InfoSphere Data Explorer product, a solution aimed squarely at the need to gain a cohesive view of enterprise data, wherever it may be. Myers and Parker will discuss how Data Explorer can help organizations to get more from their SharePoint investments, enabling them to deliver information to front-line employees regardless of where it is managed.
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4. Mission
! Reveal the essential characteristics of enterprise software,
good and bad
! Provide a forum for detailed analysis of today s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and get
answers!
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5. Topics
This month: DATA DISCOVERY & VISUALIZATION
December: INNOVATORS
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room
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6. Data Discovery & Visualization
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7. Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
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8. IBM
! IBM Information Management offers big data and enterprise
data management solutions
! These solutions include hardware and software products
such as DB2 Express, DB2 Advanced Workgroup Server
Edition, PureData System for Analytics, and InfoSphere
Information Server Workgroup Edition
! IBM’s InfoSphere Data Explorer provides federated
discovery, navigation and search over both internal and
external data sources
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9. Guests:
MARK MYERS has more than 20 years of experience in the data management
field, helping enterprises to gain maximum value from their information
assets. Mark joined IBM as part of the acquisition of Vivisimo, Inc., in May
2012. At Vivisimo, Mark was responsible for understanding clients’ business
challenges and aligning the company’s product and service offerings to help
clients achieve optimal leverage from their information assets. At IBM Mark is responsible for
product marketing for IBM’s InfoSphere Data Explorer product, a core component of the IBM Big
Data Platform. Before joining IBM, Mark gained a deep understanding of the both the challenges
and potential rewards of successful information management while working in leading
companies in the information access, content management, business process automation, and
application development fields.
SCOTT PARKER works in the Business Solutions Consulting group at IBM focused
on Data Explorer and Big Data. For the past 20 years and counting, Scott has
been helping clients elevate their performance and productivity by leveraging
modern technology and related processes. At IBM, Scott and his team engage
with clients to understand the art of the possible along with the measurable
value that Data Explorer will yield across the client's organization. A business and technology
leader with over 20 years of experience in software engineering and technical consulting
services, Scott maintains a deep understanding of information-based business process
improvement, systems integration and software development methodologies, including project
management and execution, change control and risk management.
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11. Disruptive forces impact long standing business
models across industries
Pressure to do more
with less
Shift of power to the
consumer
Proliferation of big
data
Consensus viewpoint: the new economy will reward organizations that
can exploit data and information most effectively. “Data is the new oil.”
12. Data is everywhere, but it's unusable at the point of impact
External Content
(Twitter, News
Feeds...)
“I can’t find the right
answers fast
enough to support
my customers.”
“Innovation is falling
short as I am unable
to see the full research
picture.”
12
?
Internal Content
(CRM, Warehouses,
ERP, ECM...)
“I am monitoring all
angles – yet I can’t
connect the dots.”
“I can’t unlock the value
in my data to drive
economic value to my
business.”
“I don’t know what I
don’t know – where
is my business
exposed?”
13. Unlock the value of information when users need it most
InfoSphere
Data Explorer
Data access & integration
• Index structured & unstructured Providing unified, real-time
access and fusion of big
data—in place
data unlocks greater
• Support existing security
insight and ROI
• Federate to external sources
• Leverage MDM, governance, and
taxonomies
Improve customer
service & reduce
call times
13
Discovery & navigation
• Clustering & categorization
• Contextual intelligence
• Easy-to-deploy applications
• All at the scale required for today’s
big data challenges
Create unified view of
ALL information for
real-time monitoring
Identify areas of information
Analyze customer data to
Increase productivity &
unlock true customer value risk & ensure data
leverage past work
compliance
increasing speed to market
21. Full crawl
Web Application
Site Collection
Site Collection
List
List Item
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List
List
List
List Item
Site
Site
Site
List Item
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22. Full refresh
Scenario:
§ A list is deleted
§ A new list is added
§ Some items are updated
Web Application
Site Collection
Site Collection
List
List Item
List Item
List
List
List
List Item
Site
Site
Site
List Item
List Item
List Item
List Item
List
List Item
List Item
List Item
23. Continuous update mode
Scenario:
§ A list is deleted
§ A new list is added
§ Some items are updated
Web Application
Site Collection
Site Collection
List
List Item
List Item
List
List
List
List Item
Site
Site
Site
List Item
List Item
List Item
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List
List Item
List Item
List Item
27. Blog posts and blog comments enhanced by virtual
documents
Data
Explorer
Blog Post
Comment
Posts and comments on a topic are combined automatically
30. Path to value: understand and leverage enterprise data
Capabilities
Phase I
Phase II
§ Integration with primary data
sources, e.g., SharePoint +
CRM
§ Index metadata for faceted
navigation and discovery
§ Implement security
Phase III
§ Integration of additional data
sources
§ Incorporation of information
governance (e.g., MDM)
§ Relevancy tuning
§ Advanced content analytics
§ Configure purpose-built
applications for targeted
business functions
§ Business analytics and
automated insights
Business Benefits
Maximize innovation
(collaboration and trust).
Accelerate information-oriented corporate
initatives – e.g. M&A, CX, R&D, etc.
Reveal relationships among data sets. Reduce risk through
improved information practices.
Leverage and promote institutional knowledge. leverage expertise location/
identification. Plan retirement of redundant or obsolete systems.
Improve productivity and reduce wasted effort (new and existing employees)
Understand
30
Leverage
32. InfoSphere Data Explorer in the IBM Big Data Platform
BIG DATA PLATFORM
Systems
Management
Application
Development
Discovery
InfoSphere Data Explorer
Discover, understand, search, and
navigate federated sources of big data
Accelerators
Hadoop
System
Stream
Computing
Data
Warehouse
Information Integration & Governance
• Secure, federated access to data from
multiple sources
• Advanced search, navigation and
discovery
• Application framework for 360º view of
Data
Media
Content
Machine
Social
customers, products, etc.
34. Where to start?
Big Data Exploration
Quick time to value for big data
discovery & exploration
• Locate and understand existing data
sources
• Expose data for new uses, without
copying the data to a central location
• Get up & running quickly; discover
and tag relevant big data
• Develop new insights and hypotheses
• Connect employees with all of the
data at the point of impact
• Use big data sources in new
information-centric applications
34
40. Complicating Factors
Data security | Governance
Metadata (Str/Unstr)
Views or not
Data movement
Performance
Interactive use | Discovery
Timeliness | Currency
41. Conceptual Realities
u Not
all persisted data is source data; data is
frequently duplicated
u It is better to take the processing to the
data than the data to the processing
u In theory there is a data life-cycle, in
practice there very rarely is
u In theory there should be a data audit trail,
in practice there very rarely is
u Metadata is rarely complete
43. u In
general how are large companies using
SharePoint?
u In
IBM’s opinion, are SharePoint and SharePointlike systems still needed? Shouldn’t there be
something that is far more general?
u Discovery
capabilities have clear value. But who
are the discoverers (i.e., which roles)?
u Can
you provide examples of Big Data
applications that involve SharePoint data?
44. u How
does InfoSphere Data Explorer fit with
other components of the Big Data Platform?
u How
u Do
does it fit with Big Data directly?
InfoSphere users inventory their data
sources at an enterprise level?