Christoph Adler / Panagenda Your collaboration infrastructure contains a gold mine of information just waiting to get used. Come join Chris for this fast paced session covering a rich variety of collaboration topics such as cloud readiness, on-boarding, social adoption, ICAA (the Notes Browser Plugin) and more. Learn from 21 real-world companies and how they tackled their next collaboration move by diving into their very own data sets. Walk away with a free starter-pack of licenses that gets you on the road to make your data work for you!

1. Make Your Data Work for You
21 Ways to make your
data work for you
Christoph Adler
ICONUK 2016

2. Christoph Adler – Senior Consultant
15 years of IBM (Lotus) solutions experience
Since 2007 focused on
• IBM Notes Client Management
• Analysis and Optimization of ICS infrastructures
Lives in Germany
• don’t give energy drinks  squirrel mode
21 Ways to make your data work for you

3. 21 Ways to make your data work for you
This session was created and presented for/at IBM Connect2016 by
Francie Tanner and Henning Kunz

4. Agenda
• Introduction
• 21 Real World topics – buckle up
– Mobility
– Security
– Cloud
– Consolidation and optimization
– Virtualization
– Troubleshooting
– Upgrades
• Wrap Up
4

5. Make Your Data Work for You
Mobility

6. 1. Mobilization of apps
• 15 European Locations
• 8000 Users
• 1200 Domino Apps
• Logistics
„We want to mobilize the 20 most heavily used applications that sales users
throughout Europe access in read only mode. How can we find them?“
Domino Data
• Collect session logs from all servers
• Collect nsf inventory from all servers
• Collect person information from all users
Non Domino Data
• Merge organizational info to person info
 Analyze and Visualize
6

7. Applications used from Sales in read only mode
7

8. Sales
only
Applications used from Sales in read only mode
8

9. Applications used from Sales in read only mode
9

10. Applications used from Sales in read only mode
10

11. 2. Distribution of Mobile Devices talking to Traveler
• 40 Global Locations
• 14.000 Users
• 3000 Mobile Devices
• Chemicals
„Which sort of devices are talking to our Traveler Servers, how many are
syncing properly, and how many devices do our users have?“
Traveler Data
• Collect Data via Traveler API
 Analyze and Visualize
11

12. Mobile Device Stats
12
Username

13. Make Your Data Work for You
Security

14. 3. Employee Change
• 4 National Locations
• 1000 Users
• 120 Domino Apps
• Audits
„We need to know, which Notes resources a user, that has left the company, has
accessed in the last quarter.“
Domino Data
• Collect session logs from all servers
• Collect nsf inventory from all servers
• Collect person information from all users
Non Domino Data
• Merge organizational info to person info
 Analyze and Visualize
14

15. Which databases did a specific user touch?
15

16. Select User
Which databases did a specific user touch?
16

17. 4. VIP Mailfile Access
• 10 Middle East locations
• 2000 Users
• 150 Domino Apps
• Banking
„Who all has accessed our VIP’s mail files ?“
Domino Data
• Collect session logs from all servers
• Collect nsf inventory from all servers
• Collect person information from all users
 Analyze and Visualize
17

18. Access on VIP mailfiles
18

19. Access on VIP mailfiles
19
Select
Mailfile

20. Make Your Data Work for You
Cloud

21. 5. Cloud Onboarding
• 90 International Locations
• > 10,000 Users
• Chemical
„How can we move all users to IBM Cloud reliably and consistently?“
Notes Data
• Monitor client configurations
Domino Data
• Monitor public addressbook
 Analyze and Visualize
21

22. Cloud Onboarding solution
• 25% of all users would not react to onboarding email in time
• Delegates were not reconfigured at all (only their own mailfile)
Solution:
• Watch for change of mail server in public addressbook
• If it changes from on premises to cloud  ensure seamless cloud
onboarding without end user interaction
• Reconfigure clients of delegates, too
22

23. 6. User Demand
• 10 National locations
• 35000 Users
• 150 Servers
• Government
„What server impact are my users causing? Which Users could I move?“
Domino Data
• Collect session logs from all servers
• Collect nsf inventory from all servers
• Collect person information from all users
 Analyze and Visualize
23

24. User Impact by Demand Category
24

25. Make Your Data Work for You
Consolidation and Optimization

26. 7. Corporate File Analysis
• 10 National locations
• 35000 Users
• 150 Servers
• Government
„We are concerned with data growth patterns and software adoption and want to know
which files are out there.“
Domino Data
• Collect attachment info within serverbased Databases
• Collect person information from all users
Non Domino Data
• Collect fileinfo from local filesystems
• Collect fileinfo from fileshares
• Collect fileinfo from Connections files
• Collect fileinfo from Connections Content Manager
• Merge geographical info to person info
• Merge geographical info into filedata
 Analyze and Visualize
26

27. Example: Duplication in Connections Files and CCM
27

28. 8. Server HW and OS Replacement
• 37 International locations
• 4500 Users
• 2900 Domino Apps
• Manufacturing
„We are replacing our IBM Domino hardware and OS, how many servers do
we need and how should we size them?“
Domino Data
• Collect session logs from all servers
• Collect Domino Server statistics
 Analyze and Visualize
28

29. Server Utilization
29

30. 9. Domino Mail Move
• 265 International locations
• 18000 User
• Logistics
„We have to move half of our users to new servers.
How can we do that with full control of timing?
How many delegates will be affected?
How can we track what's going on along the way?“
Notes Data
• Collect Notes Client info from all users continuosly
• Collect Mailfile Inventory
• Collect Database Usage
 Analyze
30

31. Mailfiles - Icons on Desktops
31

32. 10. Server Consolidation
• 14 International locations
• 1000 Users
• 420 Domino Apps
• Printing/Packaging
„As part of our centralization project, what bandwidth will we need from the
remote locations to the new datacenter?“
Domino Data
• Collect session logs from all servers
• Collect nsf inventory from all servers
• Collect person information from all users
Non Domino Data
• Merge geographical info to person info
• Merge geographical info to servers
 Analyze and Visualize
32

33. Bandwidth within/to HQ
33

34. Bandwith within remote locations
34

35. Make Your Data Work for You
Housekeeping

36. 11. Housekeeping
• > 30,000 Users
• Insurance
„How can we best cleanup and standardize our IBM Notes client
configurations for all users?“
Notes Data
• Collect configuration from all clients
Domino Data
• Collect nsf inventory from all servers
 Analyze and Visualize
36

37. Housekeeping solution
• > 2,000 users with outdated personal address book
• 105,000 duplicate local replicas
• 1 million local databases with old ODS
• 225,000 invalid links (target no longer exists)
• 100,000 wrong links (target moved)
• 37,000 unused local replicas (replica of server database but no local icon)
• …
Solution:
• Executed instructions on all clients to
– fix design of personal address books, update ODS of local databases
– remove duplicate replicas and invalid links, fix wrong links
– delete unused local replicas
– …
37

38. Make Your Data Work for You
Virtualization

39. 12. ClientStartFaster=1?
• > 1,000 Users
• Banking
„How can we achieve fast client startup times with our Virtual Desktop
Infrastructure (VDI)?“
Notes Data
• Collect client startup times from all clients over a period of time
 Analyze and Visualize
39

40. ClientStartFaster=1
• Startup times measured over 2 weeks from starting Notes to end of
splash screen
– Average startup time was 2 minutes
– Worst startup times going as high as 5 minutes
• Root cause: Standard clients with data directories on network drives
Solution:
• Moved data directory from network drives to “local” disk in VDI
– Includes (non-IBM)-roaming of data between network drive and VDI
• 95% less network traffic and reduction in backup storage
• Average startup time was 5 seconds, worst times 20 seconds
40

41. Make Your Data Work for You
Troubleshooting

42. 13. Too many sessions on Servers
• 10 National locations
• 35000 Users
• 150 Servers
• Government
„We have way to many sessions on our mail servers,
how can we find out what's going on?“
Domino Data
• Collect and store statistics info from Domino Servers
• Collect and store ClientClock Data
 Analyze and Visualize
42

43. User sessions on Clustermates
43

44. 15. Local Notes Databases on Terminalserverclient
• A lot of National locations
• 95000 Users
• 160 Servers
• Logistics
„We want to change the architecture of our terminal server based IBM
Notes client from network drive to local data.
Which local databases are out there?“
Notes Data
• Collect and store Data from Notes Clients
 Analyze and Visualize
46

45. Citrix users local files
47
1191 Users
2191 distinct filenames
6249 local intances
Non System
files only
1191 Users
990 distinct filenames
1649 local intances

46. 16. Latency Map for Notesclients
• A lot of locations
• >100.000 Users
• A lot of Servers
• known
„We need to know latencies in all client locations.“
Notes Data
• Collect and store Latency Data from Notes Clients
• Collect IP Adresses from Notes Clients
• Map Notes Client IP to Geolocation
 Analyze and Visualize
48

47. Latency Server to Client (Access to Homeserver)
49

48. 17. Domino health
• 40 Global Locations
• 14.000 Users
• 3000 Mobile Devices
• Chemicals
„How are my Domino servers doing?“
Domino Data
• Collect Domino statistics
 Analyze and Visualize
50

49. Domino Audit Sensor
51

50. Make Your Data Work for You
Client Upgrades

51. 18. Successful Client Upgrades
• > 5,000 Users
• Retail
„How can we create a predictable, scalable, non-disruptive IBM Notes client
upgrade?“
Notes Data
• Collect client configuration details and pass onto corporate software deployment
 Analyze and Visualize
53

52. Successful Client Upgrades solution
• Classic software deployment tools are not “Notes-aware”
– Cannot cope with multiple notes.ini files
– Struggle with different / unknown install locations
– No knowledge of “Notes internals” like names.nsf, replicator pages etc.
 Long ITTT (If this then that) scripts
Solution:
• Detect location of program and data directory and notes.ini
• Pass on to corporate software deployment tooling to increase success
rate from 90% to 98%
– Fixing the 5% error rate is usually as costly and time consuming as the easy 95%
• Closing the gap reduces project duration and cost significantly (near 50% reduction!)
54

53. Make Your Data Work for You
Technology Change

54. 19. Mail and Calendar Migration
• ~80 International Locations
• 12.000 Users
• 100 Servers
• Engineering
„We need to consolidate our mail systems into one, which applications
will break, if we migrate mail & calendar from Domino?“
Domino Data
• Extract Design from Domino Applications
 Analyze and Visualize
56

55. Design analysis on applications
57
15.272.234 lines of code

56. 20. What effort would it take to port apps?
• A lot of National locations
• 95000 Users
• 160 Servers
• Logistics
„We are thinking about Cloud, is there a rough effort estimate to migrate all
our application code to a different collaboration platform?“
Domino Data
• Extract Design from Domino Applications
 Analyze
58

57. Constructive Cost Model COCOMO
59
Using Constructive Cost Model
Cocomo (II) calculation model
University of California
Available from Center for Systems and Software Engineering
http://csse.usc.edu/tools/COCOMOII.php
Cocomo II calculations include Development Time, Testing, Acceptance & Implementation
Personnel Attributes all set to: Very High
5,271,063 Lines of Code results:
Person Months: 9,206 (= 767 Person Years)
Min. Months Schedule: 75

58. Make Your Data Work for You
Social Adoption

59. 21. Whats being used in my Connections?
• All connections customers worldwide
• A big bunch of users
• A big bunch of servers
„What are our users doing in Connections?“
Connections data
• Collect all you can....
 Analyze & Visualize
61

60. ConnectionsExpert
62

61. To take away
• Your collaboration infrastrucure contains valuable data
• Extracting meaning from this data depends on knowing how/where to
look
• Visualization helps to see trends and patterns and understand
relationships
• panagenda can help via:
– Software solutions
– Services and expertise
– Complimentary analyze licenses and more – please see us at booth 400
63

62. Make Your Data Work for You
Thank you

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© 2007-2015 panagenda
Make Your Data Work for You
christoph.adler@panagenda.com