age of exploration: how to achieve enterprise-wide discovery
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Grab some coffee and enjoy the pre-show banter before the top of the hour!
The Briefing Room
Age of Exploration – How to Achieve Enterprise-Wide Discovery
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The Briefing Room
Welcome
Host: Eric Kavanagh
eric.kavanagh@bloorgroup.com
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The Briefing Room
! 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!
Mission
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The Briefing Room
Topics
This month: DATA DISCOVERY & VISUALIZATION
December: INNOVATORS
2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room
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Data Discovery & Visualization
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The Briefing Room
Analyst: Robin Bloor
Robin Bloor is Chief Analyst at The Bloor Group
robin.bloor@bloorgroup.com
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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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The Briefing Room
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.
© 2013 IBM Corporation November 19, 2013
Age of Exploration: How to Achieve Enterprise-Wide Discovery With IBM InfoSphere Data Explorer
Mark Myers Scott Parker IBM
Disruptive forces impact long standing business models across industries
Consensus viewpoint: the new economy will reward organizations that can exploit data and information most effectively. “Data is the new oil.”
Shift of power to the consumer
Pressure to do more with less
Proliferation of big data
Data is everywhere, but it's unusable at the point of impact
12
External Content (Twitter, News
Feeds...)
Internal Content (CRM, Warehouses,
ERP, ECM...)
“I am monitoring all angles – yet I can’t connect the dots.”
“I don’t know what I don’t know – where
is my business exposed?”
“I can’t unlock the value in my data to drive
economic value to my business.”
“Innovation is falling short as I am unable
to see the full research picture.”
“I can’t find the right answers fast
enough to support my customers.”
?
Unlock the value of information when users need it most
13
Create unified view of ALL information for real-time monitoring
Identify areas of information risk & ensure data compliance
Analyze customer data to unlock true customer value
Increase productivity & leverage past work increasing speed to market
Improve customer service & reduce call times
InfoSphere Data Explorer
Data access & integration • Index structured & unstructured
data—in place • Support existing security • Federate to external sources • Leverage MDM, governance, and
taxonomies
Discovery & navigation • Clustering & categorization • Contextual intelligence • Easy-to-deploy applications • All at the scale required for today’s
big data challenges
Providing unified, real-time access and fusion of big
data unlocks greater insight and ROI
© 2013 IBM Corporation 14
Highly relevant, personalized results
Leveraging Structured and unstructured content
Enhanced by social collaboration
Organize content into virtual folders
Refinements based on structured information
Exploring data across many sources
Case in point: Microsoft SharePoint
Issues: § Proliferation of departmental systems create silos—often limiting
access to SharePoint content across departments
§ Enterprise-wide SharePoint system is not integrated with other applications – Databases and systems of record – Line-of-business applications – Customer data, e.g. CRM – External data – … and more
© 2013 IBM Corporation 15
ERP
CRM
Billing
Web
Other ECM Sensors,
machine and log data and many more…
X
Three models to optimize the SharePoint experience
§ Create a view across all information assets—including SharePoint
§ Search and navigation from OUTSIDE SharePoint
§ Access to SharePoint systems AND other sources in a single UI
© 2013 IBM Corporation 16
§ Create a view across all information assets INSIDE and OUTSIDE SharePoint
§ Users choose whether to access info from inside OR outside SharePoint
ERP CRM
Social Media Billing
ERP CRM
Social Media Billing
Data Explorer SharePoint Data Explorer
From the OUTSIDE
§ Create a view across all information assets INSIDE SharePoint
§ Replaces or augments SharePoint search inside SharePoint environment
§ Access to SharePoint systems AND other data sources in a single UI
ERP CRM
Social Media Billing
SharePoint
From the INSIDE Both INSIDE and OUTSIDE
InfoSphere Data Explorer SharePoint access features
§ User Interface Integration – Data Explorer “Web Parts” create seamless SharePoint experience
§ Optimized indexing of SharePoint repositories § Prioritized updates § Combine document parts via Virtual Documents § Full support for the SharePoint Data Model
– “Security Trimming” – Document-level security – Field-level security
§ Customizable metadata indexing § Scalability
© 2013 IBM Corporation 17
Data Explorer – SharePoint integration architecture
© 2013 IBM Corporation 18
Sha
reP
oint
Web
Ser
vice
s W
eb
Par
ts
Continuously Get Changes
▼ Prioritize Updates ▼
Get Versions ▼
Construct Virtual Docs
▼ Generate ACLs
▼ Format Data
Con
nect
or
Crawl ▼
Convert ▼
Index ▼
Search ▼
Cluster ▼
Present
Dat
a E
xplo
rer
User interface integration – Web Parts
© 2013 IBM Corporation 19
Seamless experience inside SharePoint, with external content mixed in
SharePoint data model
List Items
Lists
Sites
Site Collections
Web Applications
SharePoint Farms Farm
Web Application
Site Collection
Site
List
List Item List Item
List
Site
Site Collection
Web Application
Full crawl
Site Collection
Site
List
List Item List Item
List
List Item List Item
Site
List
List Item List Item
Site Collection
Site
List
List Item List Item
Web Application
Full refresh Scenario: § A list is deleted § A new list is added § Some items are updated
Site Collection
Site
List
List Item List Item
List
List Item List Item
Site
List
List Item List Item
Site Collection
Site
List
List Item List Item
Web Application
List
List Item List Item
Continuous update mode
Scenario: § A list is deleted § A new list is added § Some items are updated
Site Collection
Site
List
List Item List Item
List
List Item List Item
Site
List
List Item List Item
Site Collection
Site
List
List Item List Item
List
List Item List Item
Web Application
Continuous update mode
Sleep
Ask for Changes
Process Changes
SharePoint Search – blog posts and comments
© 2013 IBM Corporation 25
Blog Post
Comment
Posts and comments on a topic are separated, forcing user to combine!
“Virtual documents” make it easier to combine info
© 2013 IBM Corporation
Blog Comments
Great article! I enjoyed the…
Data Explorer is definitely the…
We compared all of these…
After a careful analysis…
I theirs better because…
Why do you need a search solution?
The world’s best search technologies
Using search to improve your ROI
Blog Posts
In SharePoint – separate lists…
In Data Explorer search results – combined as Virtual Documents
Why do you need a search solution?
Great article! I enjoyed the…
The world’s best search technologies
Data Explorer is definitely the…
We compared all of these…
I like theirs better because…
Using search to improve your ROI
After a careful analysis…
Blog posts and blog comments enhanced by virtual documents
Blog Post
Comment
Data Explorer
Posts and comments on a topic are combined automatically
Field Level security – user profiles
Private user profile properties
Field-level security – user profiles
© 2013 IBM Corporation 29
Private properties
Logged in as User
Public properties
Data Explorer
Path to value: understand and leverage enterprise data
30
Cap
abili
ties
Bus
ines
s B
enef
its
§ Integration with primary data sources, e.g., SharePoint + CRM
§ Index metadata for faceted navigation and discovery
§ Implement security
Improve productivity and reduce wasted effort (new and existing employees)
Leverage and promote institutional knowledge. leverage expertise location/identification. Plan retirement of redundant or obsolete systems.
Reveal relationships among data sets. Reduce risk through improved information practices.
§ Integration of additional data sources
§ Incorporation of information governance (e.g., MDM)
§ Relevancy tuning § Advanced content analytics
Accelerate information-oriented corporate initatives – e.g. M&A, CX, R&D, etc.
§ Configure purpose-built applications for targeted business functions
§ Business analytics and automated insights
Maximize innovation (collaboration and trust).
Understand Leverage
Phase I Phase II Phase III
Delivers big data exploration and indexing capability with secured access that can scale to petabytes of data Provides intuitive, secured information access across 30 different repositories for 125,000 users worldwide ► Reduced duplicate work ► Improved decision-making ► Connect with experts anywhere ► Increased innovation
© 2013 IBM Corporation 31
Global Consumer Products Company
Accelerators
Information Integration & Governance
Data Warehouse
Stream Computing
Hadoop System
Discovery Application Development
Systems Management
Data Media Content Machine Social
BIG DATA PLATFORM
InfoSphere Data Explorer in the IBM Big Data Platform
InfoSphere Data Explorer Discover, understand, search, and navigate federated sources of big data
• Secure, federated access to data from multiple sources
• Advanced search, navigation and discovery
• Application framework for 360º view of customers, products, etc.
Enterprise-wide discovery enables a new category: 360 degree information application
© 2013 IBM Corporation 33
Contact
informa,on f
rom
MDM and CRM
Consolidated list of products owned
Informa,on about contact from external
sources
Recent conversa,ons from mul,ple sources: e.g., CRM, e-‐mail, etc.
Accounts as
sociated w
ith
contact (pa
st and prese
nt)
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
Where to start?
DISCUSSION
www.ibm.com/bigdata http://www-03.ibm.com/software/products/en/dataexplorer/
© 2013 IBM Corporation 35
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The Briefing Room
Perceptions & Questions
Analyst: Robin Bloor
u OLTP databases u Data warehouses u Files u Content stores u Document stores u Log files u Communications
u Supply chain u Social media u Mobile u Web u Cloud apps u Data markets u Public sources
Data Tribes and Populations
INTERNAL ßà EXTERNAL
The Data Flow Conundrum
Complicating Factors
Data security | Governance
Metadata (Str/Unstr)
Views or not
Data movement
Performance
Interactive use | Discovery
Timeliness | Currency
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
Conceptual Realities
The Middleware Question
Is there a SINGLE MEDIATION capability that can fit
in the middle?
u In general how are large companies using SharePoint?
u In IBM’s opinion, are SharePoint and SharePoint-like 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?
u How does InfoSphere Data Explorer fit with other components of the Big Data Platform?
u How does it fit with Big Data directly?
u Do InfoSphere users inventory their data sources at an enterprise level?
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The Briefing Room
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Upcoming Topics
www.insideanalysis.com
November: DATA DISCOVERY & VISUALIZATION
December: INNOVATORS
2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room
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The Briefing Room
Thank You for Your
Attention
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