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HOW	A	NEXT	
GENERATION	
DATA	AS	A	SERVICE	
SOLUTION	WILL	ENHANCE	
YOUR	ORGANIZATION
WHITE	PAPER
confidential
©	2017	eccenca GmbH
WHY	DATA	MANAGEMENT	TODAY	
IS	NOT	SATISFACTORY
§ As	a	consequence	today,	cost	
grows	exponentially	as	a	function	
of	the	number	of	source	systems	
and	the	connectedness	between	
them.
§ There	is	little	to	no	synergy	
between	such	projects	as	they	
are	done	in	different	
departments,	with	different	staff,	
different	service	providers,	and	
serve	different	IT	needs.
§ Every	application	has	its	own	
interpretation	of	data.
§ This	interpretation	is	
hidden	in	application	
code	and	thus	not	explicit	
from	the	data.
§ Such	processes	are	custom	
processes	for	“point-to-point”	
(P2P)	connections,	each	requiring	
a	deep-dive	into	understanding	
and	learning	the	source	data.
§ As	a	consequence,	reusing	data	
from	system	“A”	in	system	“B”	
thus	typically	means	
establishing	an	“Extraction,	
Transformation,	and	Loading”	
(ETL)	process.
Agility	and	cost	
requirements	of	
businesses	are	not	
being	met.
Let	us	take	a	quick	
look	at	what	we	are	
doing	today	to	find	
and	access	the	right	
data	for	our	
projects.
To	provide	access	to	data,	applications	have	APIs…	but:
03
confidential
©	2017	eccenca GmbH
4
FAVELA	
EXPERIENCE!
In	spite	of	existing	MDM	
or	BI	Hub	&	Spoke	
concepts,	data	integration	
remains	a	“one-off”	
activity	which	is	funded	by	
each	project	individually.	
Focus	is	solely	on	
providing	the	required	
value	to	the	project,	not	
on	fundamentally	making	
data	available.
THE	SOLUTION	TODAY
04
confidential
©	2017	eccenca GmbH
How	can	
we	fix	it?
01
02
03
04
Turn	“Strings	into	Things”	by	
establishing	global	identifiers
Leverage	vocabularies	to	establish	
governance	and	meaning	across	application	silos
Define	central	Governance,	Authority	
and	Service	function	(CDO)
Start	small…think	big
And	how	could	it	be	fixed	
in	an	incremental/viral	
way	that	does	not	require	
the	traditional	big-bang	
project	approach?
Don’t	think	it	will	work	on	your	scale?	
Well,	it	works	on	the	web!
05
confidential
©	2017	eccenca GmbH
6
THE	SOLUTION	TOMORROW
06
confidential
©	2017	eccenca GmbH
77
READY	FOR	AN	AGILE	AND	CONNECTED	FUTURE!
The	combination	of	Data	Lake	and	Knowledge	Graph	provides	scalability	and	transparent	
integration	of	all	data	in	one	central	hub	for	up-to-the-minute	read	access.
100%greater	flexibility
50%long-term	cost	reduction	
for	infrastructure
80%reduction	of	data-
related	project	cost
100%better	overall	
understanding	of	your	data
THE	SOLUTION	TOMORROW
80%faster	time	to	market
07
confidential
©	2017	eccenca GmbH
Data	as	a	Service:	
A	successful	business	model!	
Breaks	even	within	12	months	at	service	
charge	of	<5%	of	IT	project	budget	per	
managed	data	set
Instant	qualified	support	in	
selecting/choosing	appropriate	and	
compliant	data	sets	and	data	
combinations
Central	function	to	assure	
governance	and	compliance	in	terms	
of	security,	privacy,	secrecy…provide	
integrated	single	point	of	contact!
Machine-readable	documentation	of	
compliance	and	governance	rules
Central	inventory	management	team	
for	existing	data	sets
Central	management	of	semantic	
meaning
Guaranteed	maintenance	and	support	
per	data	source	and	data	set	at	500€	per	
project	per	year
Carl-Martin	Marquardt,	Daimler	AG
Domain
Vocabularies
Data	Set
Management
Virtual	
Cubes,
Formulas
Provenance,
Lineage
Security,
Confiden-
tiality
Conceptual
Models
09
confidential
©	2017	eccenca GmbH
Preservation	of	and	access	to	knowledge
Summary
24
23
How	to	implement	a	Data	as	a	Service	infrastructure
Why	data	management	today	is	not	satisfactory
Data	as	a	Service	– A	successful	business	model
10
03
Doing	the	right	things	the	right	way
12
09
The	backend	data	connection
Interconnecting	and	aligning	data
19
15
Business	access	to	data
22
HOW	A	NEXT	GENERATION	
DATA	AS	A	SERVICE	SOLUTION	
WILL	ENHANCE	YOUR	ORGANIZATION
02
confidential
©	2017	eccenca GmbH
Visit	us	at	eccenca.com
WE	ARE	TURNING	STRINGS	INTO	THINGS
eccenca GmbH
Hainstraße	8	
04109	Leipzig,	Germany
Phone	+49	(0)	341	- 26	50	80	28
Fax	+49	(0)	341	- 26	48	93	05
info@eccenca.com

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Next Generation Data as a Service Solution