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“Where’s	the	data?”

The	role	of	metadata	in	enabling	

the	transformation	to	a	

data	driven	business	
Roland	Bullivant
April	19th	2016
Agenda
• Objective	
• Metadata	&	transformation	
• Case	Studies	
• Safyr	
• Next	actions
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
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
Metadata	helps	you	answer
• Where’s	the	data?

• What	does	the	data	
mean?

• Where	do	I	put	the	
data?
How	do	you	find	it?
• Manual	effort	
• Documentation	
• Specialists		
• Hire	consultants	
• Internet	search	
• Guesswork	
• Reverse	engineer	
• Product	connectivity
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?
Finding	packaged	application	metadata	is	difficult
• Complex		
• Large	data	model	
• Customised	
• Inaccessible
Impact	of	not	finding	it	quickly
• Late	delivery	
• Cost	overrun	
• Low	productivity	
• Quality	issues	
• Loss	of	faith
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
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
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.”
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
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.”
Safyr	–	the	only	dedicated	solution
• Shorten	time	to	value	
• Reduce	cost	of	data	
discovery	
• Improve	accuracy
Safyr
• Data	professionals	in	
control	
• Find	what	you	need		
• When	you	need	it	
• In	context
Safyr
Sample	customers
Selected	partners
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.”
Want	to	learn	more
• Talk	to	us	on	Booth	509

• See	or	try	Safyr

• Visit	our	website

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

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"Where's the data?" The role of metadata in enabling the transformation to a data driven business