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Graph-based	Metadata	Management	
&	Data	Governance	in	Financial	
Services	
	
A	Data	To	Value,	Linkurious	and	Neo4j	
co-hos...
Agenda	
8:30	-	9:00	am	-	Breakfast	Networking	-	Welcome		
9:00	-	9:10	am	-	Introduc>on	-	Anthony	Flynn,	Sales	Manager	UK,	...
Our	partners	today	
Data	 to	 Value	 is	 a	 Data	 Consultancy	 based	 in	
London	 that	 provides	 consultancy,	 advice	 an...
Neo	Technology	&	Neo4j	
Product	
• Neo4j	-	World’s	leading	graph	
database	
• 2M+	downloads,	adding	50k+		
per	month	
• Hu...
High	Business	Value	in	Data	RelaHonships	
Data	is	increasing	in	volume…	
•  New	digital	processes	
•  More	online	transac>...
Unlocking	Value	from	Your	Data	RelaHonships	
•  Model	your	data	as	a	graph	of	data	
and	rela>onships	
•  Use	rela>onship	i...
Neo4j	AdopHon	by	Selected	VerHcals	
Software
Financial
Services
 Retail
Media &
Broadcasting
Social
Networks
 Telecommunic...
“Forrester	es>mates	that	over	25%	of	enterprises	will	be	using	
graph	databases	by	2017”	
Neo4j	Leads	the	Graph	Database	R...
Why	are	we	here	today?	
•  Banks	and	Financial	Services	increasingly	depend	on	customer	inHmacy:	Mul>-	
channel	customer	a...
Why	are	we	here	today?	
“One of the most significant lessons learned from the global financial crisis that
began in 2007 was...
A	word	about	MDM	–	It	Isn’t	Hierarchical	
Typical	MDM	system	structure	 …but	MDM	is	really	a	network	
Pa>ent	
Agent	
G.P.	...
Challenges	with	Current	MDM	Systems	
Lack	of	support	for	hierarchical	or	matrix	data	rela>onships	
•  Master	data	is	never...
Requirements	for	MDM	2.0	
•  Support	hierarchical	and	matrix	data	
structures	
•  Store,	manage,	and	use	complex	data	
rel...
There	Are	Lots	of	Ways	to	Easily	Learn	Neo4j
High	Business	Value	in	Data	RelaHonships	
Data	is	increasing	in	volume…	
•  New	digital	processes	
•  More	online	transac>...
GraphConnect	Europe	2016	
Speakers	include.....	
	
•  Royal	Bank	of	Scotland,	Stelios	Gerogiannakis	
•  Ivan	Por>lla,	IBM	...
GraphConnect	Europe	2016	
	
Queen	Elizabeth	II	Centre,	London,	April	25-26	
•  4	tracks:	from	Neo4j	technical	deep-dive	to...
Thank	you	for	coming!	
	
	
A	Data	To	Value,	Linkurious	and	Neo4j	
co-hosted	event	
	
www.neo4j.com	
anthony@neotechnology....
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GraphTalks London - Intro Graph based metadata management & data governance in financial services

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GraphTalks London - Intro Graph based metadata management & data governance in financial services - Anthony Flynn Neo4j

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GraphTalks London - Intro Graph based metadata management & data governance in financial services

  1. 1. Graph-based Metadata Management & Data Governance in Financial Services A Data To Value, Linkurious and Neo4j co-hosted event
  2. 2. Agenda 8:30 - 9:00 am - Breakfast Networking - Welcome 9:00 - 9:10 am - Introduc>on - Anthony Flynn, Sales Manager UK, Neo Technology 9:10 - 9:40 am - Metadata Management with Graph Databases Dr. Jesús Barrasa, Field Engineer - Neo4j 9:40 - 10:10 am - Mixing Agile and Enterprise Metadata Requirements using Neo4j James Phare, Managing Director, Data To Value Jean Villedieu, Co-founder, Linkurious 10:10 - 10:25 am - Q&A 10:30 - 11:30 am - Closing & Networking
  3. 3. Our partners today Data to Value is a Data Consultancy based in London that provides consultancy, advice and prac>cal assistance to bluechip organisa>ons wishing to maximise the value of their data assets – Linked Data, Big Data and Small Data” Linkurious provides Business intelligence for graph data with its out-of-the-box graph visualisa>on technology. Linkurious is focused on helping customers find answers in graph data, no maber how complex or how large without having to learn complex querying languages or go through extensive training.
  4. 4. Neo Technology & Neo4j Product • Neo4j - World’s leading graph database • 2M+ downloads, adding 50k+ per month • Hundreds of enterprise subscrip>on customers including over 50 of the Global top 2000 Company • Neo Technology, Creator of Neo4j • 120+ employees with HQ in Silicon Valley, London, Munich, Paris and Malmö
  5. 5. High Business Value in Data RelaHonships Data is increasing in volume… •  New digital processes •  More online transac>ons •  New social networks •  More devices Using Data RelaHonships unlocks value •  Real->me recommenda>ons •  Fraud detec>on •  Master data management •  Network and IT opera>ons •  Iden>ty and access management •  Graph-based search … and is geLng more connected Customers, products, processes, devices interact and relate to each other Early adopters became industry leaders
  6. 6. Unlocking Value from Your Data RelaHonships •  Model your data as a graph of data and rela>onships •  Use rela>onship informa>on in real- >me to transform your business •  Add new rela>onships on the fly to adapt to your changing business
  7. 7. Neo4j AdopHon by Selected VerHcals Software Financial Services Retail Media & Broadcasting Social Networks Telecommunication Healthcare
  8. 8. “Forrester es>mates that over 25% of enterprises will be using graph databases by 2017” Neo4j Leads the Graph Database RevoluHon “Neo4j is the current market leader in graph databases.” “Graph analysis is possibly the single most effecHve compeHHve differenHator for organiza>ons pursuing data-driven opera>ons and decisions aler the design of data capture.” IT Market Clock for Database Management Systems, 2014 hbps://www.gartner.com/doc/2852717/it-market-clock-database-management TechRadar™: Enterprise DBMS, Q1 2014 hbp://www.forrester.com/TechRadar+Enterprise+DBMS+Q1+2014/fulltext/-/E-RES106801 Graph Databases – and Their PotenHal to Transform How We Capture Interdependencies (Enterprise Management Associates) hbp://blogs.enterprisemanagement.com/dennisdrogseth/2013/11/06/graph-databasesand-poten>al-transform-capture-interdependencies/
  9. 9. Why are we here today? •  Banks and Financial Services increasingly depend on customer inHmacy: Mul>- channel customer access imposes ever more complexity on Master and Reference Data systems. How to tame his complexity to ensure the customer experience is op>mal? •  InnovaHon and PersonalisaHon: Customers have more choice than ever before. The ability to tailor offerings to the customer and to introduce new products and services is cri>cally dependent on the cost and effort required. Effec>ve MDM can drama>cally address these issues •  Industry consolidaHon & the emergence of Fintech: the opportuni>es for growth are out there for organisa>ons which can move quickly. Integrated MDM makes this possible and prac>cal •  Compliance: CCAR, FATCA, BCBS 239, MiFiD II, the European Payment Services Direc>ve II – it has never been more important to be able to quan>fy and manage risk at all levels of the organisa>on
  10. 10. Why are we here today? “One of the most significant lessons learned from the global financial crisis that began in 2007 was that banks’ information technology (IT) and data architectures were inadequate to support the broad management of financial risks. Many banks lacked the ability to aggregate risk exposures and identify concentrations quickly and accurately at the bank group level, across business lines and between legal entities. Some banks were unable to manage their risks properly because of weak risk data aggregation capabilities and risk reporting practices. This had severe consequences to the banks themselves and to the stability of the financial system as a whole.” Principles for effec>ve risk data aggrega>on and risk repor>ng Basel Commibee on Banking Supervision, January 2013
  11. 11. A word about MDM – It Isn’t Hierarchical Typical MDM system structure …but MDM is really a network Pa>ent Agent G.P. Surgeon Partner Insurance Pa>ent Agent G.P. Surgeon Partner Insurance
  12. 12. Challenges with Current MDM Systems Lack of support for hierarchical or matrix data rela>onships •  Master data is never strictly hierarchical •  Systems are designed for fixed top-down hierarchy •  Non-hierarchical data is not supported Inability to unlock value from data rela>onships •  Systems store only very simple data rela>onships •  Complex rela>onships and links not stored Inflexible and expensive to maintain •  Changes to the model are expensive and >me-consuming
  13. 13. Requirements for MDM 2.0 •  Support hierarchical and matrix data structures •  Store, manage, and use complex data rela>onship informa>on •  Con>nually accommodate new data and rela>onships •  Maintain fidelity between the real world and how data is stored
  14. 14. There Are Lots of Ways to Easily Learn Neo4j
  15. 15. High Business Value in Data RelaHonships Data is increasing in volume… •  New digital processes •  More online transac>ons •  New social networks •  More devices Using Data RelaHonships unlocks value •  Real->me recommenda>ons •  Fraud detec>on •  Master data management •  Network and IT opera>ons •  Iden>ty and access management •  Graph-based search … and is geLng more connected Customers, products, processes, devices interact and relate to each other
  16. 16. GraphConnect Europe 2016 Speakers include..... •  Royal Bank of Scotland, Stelios Gerogiannakis •  Ivan Por>lla, IBM •  Financial Times, Dan Murphy •  Schleich, Dr. Andreas Weber •  Trace One, Julien Mazerolle •  Structr, Axel Morgner •  European Ins>tute for Systems Biology and Medicine, Irina Baur And, of course, Neo4j CEO, Emil Eifrem, Chief Scien>st Jim Webber and other experts from the Neo4j team. #graphconnect www.graphconnect.com
  17. 17. GraphConnect Europe 2016 Queen Elizabeth II Centre, London, April 25-26 •  4 tracks: from Neo4j technical deep-dive to high level business benefits presenta>ons •  GraphClinics: one-to-one advice on your project from our GraphDoctors •  Networking: network with peers from across Europe during breaks and at the GraphParty •  Tickets: full price $449 , addi>onal training + $150 •  Discounts available to Graph Breakfast abendees. Ask your Neo4j contact! #graphconnect www.graphconnect.com
  18. 18. Thank you for coming! A Data To Value, Linkurious and Neo4j co-hosted event www.neo4j.com anthony@neotechnology.com

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