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From Software …
to Social Software
How Enterprise Social Graphs Can
Transform Enterprise Applications
Kapil Gupta
Standard Disclaimer
Views and opinions discussed in
the following presentation are mine
alone, and do not reflect the views
of JP Morgan Chase or IBM
Where companies or vendors are
mentioned, there is no implied
endorsement by me or my
employer
Outline
Business & Technology context, and
why we should care
Case study: IBM ThinkPlace
Brief primer on Social Graphs
Implications for the Enterprise
context
5 Steps on the road to transforming
We’ve come a long way from
1993
… To 2013
Ad Targeting is just the tip of the
iceberg: understanding who we
know, what we like -
can help almost every functional area
in an organization
Social CRM
Recruiting
Customer Journey
Influencer Analytics
Social org
charts
Business
development
Business
Social Learning
Expertise Location
Collaboration across
silos
Even though this is a space that
did not exist
just 10 years ago,
the industry
landscape
Source: McKinsey 2012
Source: McKinsey 2012
(Original format) How Enterprise Social Graphs Can Transform Enterprise Applications
Growth in “Social” is
fueled by a broader
set of technology
trends
Source: McKinsey 2012
CEO, CMO priorities:
engagement,
connections,
collaboration
… all of which are in the sweet
spot for Social
Social Graphs and
Social Network Analysis
are the architectural foundations
for the use of Social technologies
+
+
Graphs represents those Objects,
Connections and Relationships
as
structured data
Public social networks –
Facebook, Twitter, Linkedin –
are built on
social graphs and
interest graphs
Social graphs represent
connections between
people who
know each other
Interest graphs
represent
connections
between people
with common
interests
(Original format) How Enterprise Social Graphs Can Transform Enterprise Applications
When used together, applications
can start with who you know and
surmise what your connections like;
properly-designed interfaces and
interactions can provoke the
desired outcome
Not bad: All the same
Even better: Recommendation across different
This is the promise of Social
Software
aka Social-enabled software
aka Social-aware software:
Software that can enable
discovery – and promote
outcomes – through
Recommendations
(Original format) How Enterprise Social Graphs Can Transform Enterprise Applications
Example: IBM ThinkPlace
A worldwide collaboration
platform to drive innovation
across the enterprise
My role at IBM (2005-2010) on this effort:
Product Manager/Product Owner
IBM ThinkPlace: A platform for
sharing ideas and collaboration
1 2 3 4 5
Year
Businessimpact
1 2 3 4 5
Year
Numberofideas
Our problem wasn’t too few ideas: it
was actually too many
But
This raised the bar for finding
good ideas
Photo by Flickr user MayaEvening, licensed under Creative Commons, Attribution 2.0 Generic
Some good ideas
were seen, but
many remained
hidden
Photo by Flickr user giladr, licensed under Creative Commons, Attribution 2.0 Generic
Identity - who you are
Contacts - who you know
Activities - what you are
So we designed and implemented a
set of features across the system
designed around people
(vs. designed around ideas)
(Original format) How Enterprise Social Graphs Can Transform Enterprise Applications
The approach taken for ThinkPlace
can be applied to applications
across the enterprise, but
requires a set of infrastructure
components to support it
Source: Mike Gotta, Gartner
Enterprise Social Graphs can
bridge the gap between
“Systems of Engagement”
(interactions inside, outside firewall)
and “Systems of Record”
(data stores inside the firewall)
Netflix has a “movie graph”
Visualization of my Linkedin Graph
Linkedin has a “Professional contacts
graph”
Just like them, every Enterprise has a
unique Social graph
… and
unique interest graphs
Relationships between Employees,
Clients, Partners, Competitors
Relationships can also be inferred
from enterprise meta data
(directory, email, collaboration tools)
or be user-submitted
Relationship information can be
augmented from external sources
(public graphs: Linkedin, Facebook,
Twitter)
Analogous to Integrated Supply
Chains, but for connections &
relationships: Integrated Supply
Graph
(of course, view of data is not shared
Most commonly cited enterprise
uses: (ad) targeting, retargeting
Customer journey: identifying
influencers; empowering advocates;
predicting customer behavior (via
interest graph changes)
Improving web experience: product
discovery, user communities
Talent management: identifying
“connectors”, leaders; as a
basis for referrals, evaluation
Business development &
Business Intelligence:
employee alumni in other
companies; new hires from
potential clients & competitors
Org charts of suppliers, clients,
5 steps on the road to
transforming Enterprise
Applications into
Social Software
1) Examine:
a) how your customers use your
products, how they interact with each
other and you
b) what kind of data already
exists in enterprise data stores
2) Review your application
design and infrastructure stack
Your approach will have
significant implications for
application design, and the
software stack to support such
applications
3) Create your own graph with all
known internal and external
relationships and data sources
4) Customize application design
depending on the kinds of ties, and
types of interactions desired
Define social objects and interactions
Redesign UI experience
Leverage activity streams
5) Seek to make existing
interactions easier and more
effective – avoid the trap of creating
a set of social-driven interactions
that exist separately
Two places to target: where goal of
user interaction involves
Discovery and
Collaboration
Thank You.

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(Original format) How Enterprise Social Graphs Can Transform Enterprise Applications

  • 1. From Software … to Social Software How Enterprise Social Graphs Can Transform Enterprise Applications Kapil Gupta
  • 2. Standard Disclaimer Views and opinions discussed in the following presentation are mine alone, and do not reflect the views of JP Morgan Chase or IBM Where companies or vendors are mentioned, there is no implied endorsement by me or my employer
  • 3. Outline Business & Technology context, and why we should care Case study: IBM ThinkPlace Brief primer on Social Graphs Implications for the Enterprise context 5 Steps on the road to transforming
  • 4. We’ve come a long way from 1993
  • 6. Ad Targeting is just the tip of the iceberg: understanding who we know, what we like - can help almost every functional area in an organization
  • 7. Social CRM Recruiting Customer Journey Influencer Analytics Social org charts Business development Business Social Learning Expertise Location Collaboration across silos
  • 8. Even though this is a space that did not exist just 10 years ago, the industry landscape
  • 12. Growth in “Social” is fueled by a broader set of technology trends Source: McKinsey 2012
  • 14. … all of which are in the sweet spot for Social Social Graphs and Social Network Analysis are the architectural foundations for the use of Social technologies
  • 15. + +
  • 16. Graphs represents those Objects, Connections and Relationships as structured data
  • 17. Public social networks – Facebook, Twitter, Linkedin – are built on social graphs and interest graphs
  • 18. Social graphs represent connections between people who know each other
  • 21. When used together, applications can start with who you know and surmise what your connections like; properly-designed interfaces and interactions can provoke the desired outcome
  • 22. Not bad: All the same
  • 23. Even better: Recommendation across different
  • 24. This is the promise of Social Software aka Social-enabled software aka Social-aware software: Software that can enable discovery – and promote outcomes – through Recommendations
  • 26. Example: IBM ThinkPlace A worldwide collaboration platform to drive innovation across the enterprise My role at IBM (2005-2010) on this effort: Product Manager/Product Owner
  • 27. IBM ThinkPlace: A platform for sharing ideas and collaboration
  • 28. 1 2 3 4 5 Year Businessimpact 1 2 3 4 5 Year Numberofideas Our problem wasn’t too few ideas: it was actually too many
  • 29. But This raised the bar for finding good ideas Photo by Flickr user MayaEvening, licensed under Creative Commons, Attribution 2.0 Generic
  • 30. Some good ideas were seen, but many remained hidden Photo by Flickr user giladr, licensed under Creative Commons, Attribution 2.0 Generic
  • 31. Identity - who you are Contacts - who you know Activities - what you are So we designed and implemented a set of features across the system designed around people (vs. designed around ideas)
  • 33. The approach taken for ThinkPlace can be applied to applications across the enterprise, but requires a set of infrastructure components to support it
  • 35. Enterprise Social Graphs can bridge the gap between “Systems of Engagement” (interactions inside, outside firewall) and “Systems of Record” (data stores inside the firewall)
  • 36. Netflix has a “movie graph”
  • 37. Visualization of my Linkedin Graph Linkedin has a “Professional contacts graph”
  • 38. Just like them, every Enterprise has a unique Social graph … and unique interest graphs
  • 39. Relationships between Employees, Clients, Partners, Competitors Relationships can also be inferred from enterprise meta data (directory, email, collaboration tools) or be user-submitted
  • 40. Relationship information can be augmented from external sources (public graphs: Linkedin, Facebook, Twitter) Analogous to Integrated Supply Chains, but for connections & relationships: Integrated Supply Graph (of course, view of data is not shared
  • 41. Most commonly cited enterprise uses: (ad) targeting, retargeting Customer journey: identifying influencers; empowering advocates; predicting customer behavior (via interest graph changes) Improving web experience: product discovery, user communities
  • 42. Talent management: identifying “connectors”, leaders; as a basis for referrals, evaluation Business development & Business Intelligence: employee alumni in other companies; new hires from potential clients & competitors Org charts of suppliers, clients,
  • 43. 5 steps on the road to transforming Enterprise Applications into Social Software
  • 44. 1) Examine: a) how your customers use your products, how they interact with each other and you b) what kind of data already exists in enterprise data stores
  • 45. 2) Review your application design and infrastructure stack Your approach will have significant implications for application design, and the software stack to support such applications
  • 46. 3) Create your own graph with all known internal and external relationships and data sources
  • 47. 4) Customize application design depending on the kinds of ties, and types of interactions desired Define social objects and interactions Redesign UI experience Leverage activity streams
  • 48. 5) Seek to make existing interactions easier and more effective – avoid the trap of creating a set of social-driven interactions that exist separately Two places to target: where goal of user interaction involves Discovery and Collaboration

Editor's Notes

  • #2: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
  • #10: Source: McKinsey
  • #11: Source: McKinsey
  • #12: Source: Luma Partners LLC
  • #13: Source: McKinsey
  • #20: http://en.wikipedia.org/wiki/File:Interest_Graph_vs_Social_Graph_by_Socialize.png Socialize Inc. for Wikipedia
  • #21: http://www.flickr.com/photos/letscher/7308677278/