Join us for a unique perspective on social software adoption and how data analytics can help influence implementation and deployment of your enterprise social networking platform of choice, including IBM Connections. Come and learn about the benefits of pattern analysis and visualizations to unlock more effective operational and strategic decisions. Find out how your biggest untapped gold mine can help transform your organization by re-engaging your workforce across the board, while we share a case study on how data analytics sometimes has the most unexpected outcomes.

1. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Social Analytics –
Why Your Biggest Goldmine Is
(Probably) Untapped
Francie Tanner, panagenda, @akafrancie
Luis Suarez, panagenda, @elsua

2. Social Connections 11 Chicago, June 1-2, 2017@panagenda
What’d You Say Is Today’s Main Business Problem?
• Optimization of IT (what else can we do to improve our infrastructure?)
• Employee burnout (Our employees are overworked and overloaded!)
• Lack of communications
• Customer satisfaction
• Talent retention
• We are not innovating fast enough!
• Bureaucracy (i.e. how do we shake off the Cult of Busyness?)
• Security
• ‘Knowledge is power’ (we don’t collaborate, nor cooperate, enough!)
• Management -leaders aren’t stepping up to business challenges!

3. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Yet, Employee (dis)Engagement Tops Them All
• According to Gallup
(2013 study -
http://bit.ly/2jO7dBS), only
13% of the global’s
employee workforce is
currently engaged at
work
Source: https://www.flickr.com/photos/89228431@N06/11220991354/

4. Social Connections 11 Chicago, June 1-2, 2017@panagenda
The Sad State of Global Workplace Engagement
Source - http://bit.ly/GallupDisengaged

5. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Do Employees Really Know What’s Expected of Them?
Source - http://bit.ly/GallupUSDisengaged

6. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Evolution of Analytics
• Analytics and big data
visualization may seem like a
new thing, but…
• Communicating complexity by
means of charting was
invented around 1800 by
William Playfair, a political
economist
• Allowed for rapid comparison
among a large number of
variables

7. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Evolution of Analytics Continued
• Florence Nightingale,
founder of modern nursing
and invented the coxcomb
to visualize mortality rates
during the Crimean War
• Imagine the data mining
and hand drawing of these
charts, much less mistakes!

8. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Data Visualization Is Interactive
Source https://research.google.com/bigpicture/music/

9. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Visualization Reveals Trends
Source http://www.pewresearch.org/next-america/age-pyramid/

10. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Data Visualization Puts Data Into Context

11. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Can Analytics & Visualization Help Transform Collaboration?
• What if data analytics could help us optimize the IT infrastructure?
• What if data analytics could help us shift from emotional to fact-based
decision making?
• What if data analytics could help us identify our experts, where critical
knowledge reside?
• What if data analytics could help us find more effective adaptation
techniques for new technology?

12. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How Can Data Analytics Help IT?
12
• Have an understanding of database
usage by countries and regions

13. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How Can Data Analytics Help IT?
13
• How high is the %
of employees with
corporate mobile
devices?

14. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How Can Data Analytics Help Human Resources?
• How often do different
generations at the workplace
use email on mobile devices?

15. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How Can Data Analytics Help Human Resources?
• Help identify most heavily
overloaded employees within
a specific line of business:
i.e. Sales

16. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How Can Data Analytics Help Knowledge Management?
• ‘eMail is where knowledge goes to die’
- Bill French (1999)
• How large are our emails? Which ones
generate the most traffic? Should
they?
• 96,4% of our global email
communication costs are generated by
email with 512KB and larger!
• How many of these emails containing
attachments really have to be sent and
shared internally vs. an ESN or social
file sharing service?

17. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How Can Data Analytics Help Knowledge Management?
• How many recipients do we usually
send our emails to? Can we open up?
• How much traffic & costs are
generated by internal emails to many
vs. working in open teams /
communities?
• How can we help enable more
effective collaboration, cooperate &
coopetition through IBM Connections
Communities?

18. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Fileservers
EOL, EOC
Home directory,
profile
Shared folders
Application data
1.2 billion files
400 servers
2000 TB storage
Classical Windows
Fileshares
> 1.5 million files
2 servers
Some 2 TB storage
IBM Connections
(incl. Libraries)
40.000 users
30 servers
7.000 team mailboxes
500 TB storage
Mailboxes, Team
mailboxes and mail
archive
Xxxx millions documents
Some servers
Xxxx TB storage
Document management
(ECM)
Scope of the project
4.2 BILLION files ( x 10 attributes)
30.000+ laptops/desktops
3 bio files (±100.000)
X amount of storage
Local files on laptops /
desktops
Cloud Potential, Cost Savings, Engagement Case Study

19. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Colors = data location
Size of bubble = # of duplicates x
file size
• How many file duplications are
there?
• Where is data duplicated?
• Why is there duplication?
• Explore and resolve to achieve
> ~35% uniqueness
Duplication Insights

20. Social Connections 11 Chicago, June 1-2, 2017@panagenda
How much data storage is
used by every filetype?
What filetypes are there and how
many of each kind do we store?

21. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Adds insights into usage based on:
• line of business
• team or department
• region or office building
• type of repository
Making informed decisions:
• Knowing what is really happening
• Choosing a direction based on the
facts
• Showing who is actually using up
space
Adding HR Data to the Mix

22. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Lessons Learned
• Metadata is key
• Looking at “only” 10 attributed of 4.2 billion files makes
for a tremendous data set
• Users will do anything that they can/are allowed
• Digital age encourages bad behavior – why delete
anything when there is unlimited storage
• Users don’t adapt to new technology willingly
• Analytics can support and drive adoption

23. Social Connections 11 Chicago, June 1-2, 2017@panagenda
The Power of Analytics
• Understand usage and realizing cost savings
• Transition from guess-estimation to fact based decision making
• Improve the overall employee experience and engagement
• Become a customer-centric, learning driven business
• Enable an open knowledge sharing environment where
knowledge flows freely through collaboration and cooperation
in teams, networks and communities
• So, what is stopping YOU?

24. Social Connections 11 Chicago, June 1-2, 2017@panagenda
Thank You!
Luis Suarez
Digital Transformation & Data Analytics Adviser
eMail: luis.suarez@panagenda.com
Mobile #: +34 679 722 947
Twitter: @elsua
Web site: http://www.panagenda.com
Francie Tanner
Director
eMail: francie.tanner@panagenda.com
Mobile #: +1 850 226 9393
Twitter: @akafrancie
Web site: http://www.panagenda.com

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