This document discusses how metadata is crucial for enabling data-driven business transformations but can be difficult to find, especially for packaged application data. It presents two case studies where the Safyr tool helped companies overcome metadata challenges during SAP implementations at Hydro Tasmania and Boeing Commercial Aircraft. It allowed both companies to gain a faster understanding of their data models, improve communication, and accelerate their projects. The document argues that Safyr is uniquely suited for automated metadata extraction and can significantly reduce the time and costs associated with data discovery.

1. “Where’s the data?”
The role of metadata in enabling
the transformation to a
data driven business
Roland Bullivant
April 19th 2016

2. Agenda
• Objective
• Metadata & transformation
• Case Studies
• Safyr
• Next actions

3. Transformation landscape
ETL/ELT
Master
data
Data
integration
Big data
Data lakes
Data
vaults
Data
warehouse
Data
science
BI
Analytics
Data
wrangling
Data
management
Data
governance
Data quality
Modeling &
Architecture
Application
integration
Sources
Unstructured
data
Social
data
Packaged
App data
RDBMS
data
Audio
Video
Mobile
data
Desktop
apps
WeblogsSensors IOT

4. Transformation landscape
ETL/ELT
Master
data
Data
integration
Big data
Data lakes
Data
vaults
Data
warehouse
Data
science
BI
Analytics
Data
wrangling
Data
management
Data
governance
Data quality
Modeling &
Architecture
Application
integration
Sources
SOURCE METADATA
Unstructured
data
Social
data
Packaged
App data
RDBMS
data
Audio
Video
Mobile
data
Desktop
apps
WeblogsSensors IOT

5. Metadata helps you answer
• Where’s the data?
• What does the data
mean?
• Where do I put the
data?

6. How do you find it?
• Manual effort
• Documentation
• Specialists
• Hire consultants
• Internet search
• Guesswork
• Reverse engineer
• Product connectivity

7. Is it simple to find?
• Easier
– RDBMS
– Desktop applications
– Smaller packages
– Home grown applications
– Sensor
– Social media?
• Harder
– SAP
– Oracle applications
– Salesforce (increasingly)
– Other large packages
– Unstructured?

8. Finding packaged application metadata is difficult
• Complex
• Large data model
• Customised
• Inaccessible

9. Impact of not finding it quickly
• Late delivery
• Cost overrun
• Low productivity
• Quality issues
• Loss of faith

10. Case Studies
“The team was originally
informed that no data model
was available for the SAP
application or for SAP BW.”
Scott Delaney
BI Team Leader
Hydro Tasmania

11. Case Study - Hydro Tasmania?
• Solution – Safyr®
– SAP data model
– Includes customisations
– Rapid implementation
– Quick learning curve
– Back on track
– Rapid ROI
– No backlog
– Improved trust in data
• Challenge
– New SAP implementation
– Business Objects
– Team unfamiliar with SAP
– Data model not available
– No budget for services
– BI/Analytics backlog
– Low productivity
– Business losing faith

12. Scott Delaney – BI Team Leader
“As a result of our investment
in Safyr we are able to take a
more agile approach to
meeting the demands for new
reports and data within
acceptable timescales and the
business’ trust in the
information they provide is
growing.”

13. Case study – Boeing Commercial Aircraft
Challenge
New SAP implementation
Multiple legacy applications
Data migration into SAP
SAP data model bottleneck
Restricts understanding
Potential delay to project
Communication issues
Solution - Safyr™
Fast understanding of data
Easier communication
Relevant SAP data models
Easier data migration
Potential future uses:
Compare SAP instances for
consolidation
Additional SAP data objects
models

14. Lorin Yeaton – Senior Information Architect
“Frankly we simply could not
have done what we did without
some way to extract that
metadata automatically.
To discover it and hand enter it
manually would have taken
thousands of hours.”

15. Safyr – the only dedicated solution
• Shorten time to value
• Reduce cost of data
discovery
• Improve accuracy

16. Safyr
• Data professionals in
control
• Find what you need
• When you need it
• In context

17. Safyr

18. Sample customers

19. Selected partners

20. Brian Farish – IT Architecture Manager
“After doing a quick prototype
metadata extract from SAP, the
response has been very
positive!
I’m really grieving for the lost
years without access to this
tool.
It has met and exceeded my
lofty expectations.”

21. Want to learn more
• Talk to us on Booth 509
• See or try Safyr
• Visit our website

22. BOOK A CALL ARRANGE A DEMO FREE TRIAL
www.silwoodtechnology.com
info@silwoodtechnology.com
+44 (0)1344 876553