Data fabric architectures are used to simplify and integrate data management across business functions to accelerate digital transformation. Creating a data fabric is a way to develop a data-centric view of your business which results in an Enterprise 360 perspective based on trusted data.
Industry analysts and vendors are increasingly finding that graph databases are a key enabling technology in support of
Data Fabric architectures that deliver trusted data.
During this on-demand webinar, we discuss how we help our customers implement a Data Fabric pattern using graph database technology in support of their key strategic objectives.
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Enterprise 360 - Graphs at the Center of a Data Fabric
1. Enterprise 360
Graphs at the Center of the Data Fabric
Aaron Wallace | Product Manager
– Spectrum Context Graph
2. Housekeeping
Webinar Audio
• Today’s webinar audio is streamed through your computer
speakers
• If you need technical assistance with the web interface or audio,
please reach out to us using the Q&A box
Questions Welcome
• Submit your questions at any time during the presentation using
the Q&A box
Recording and slides
• This webinar is being recorded. You will receive an email following
the webinar with a link to the recording and slides
3. Enterprise 360
Graphs at the Center of the Data Fabric
Aaron Wallace | Product Manager
– Spectrum Context Graph
4. The global leader in data integrity
Trust your data. Build your possibilities.
Our data integrity software and data enrichment products
deliver accuracy and consistency to power confident
business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
90
Customers in more than
100
2,000
employees
customers
12,000
countries
Nodes 2020
7. Graphs Power Data
Literacy Through the
Data Fabric
• Data fabric organized around metadata
and promotes data literacy
• Semantic representation of key business
entities supports conversations
• Provides a clear understanding of source
characteristics – quality, security
• Whiteboard-focused conversations and
design sessions enable iterative
methodologies
• Schema-lite approach necessary for
Enterprise 360 while still allowing for the only
constant – which is CHANGE
8. Representative Enterprise 360 Architecture
CRM ERP
Transactional Manager
Precisely Spectrum
Outbound Kafka Topic Outbound Kafka Topic Outbound Kafka Topic
Change Data Capture
Kafka Consumer
Kafka ConsumerKafka Producer
Enterprise Service Bus Enterprise Service Bus
API
Inbound
Workflow
Inbound
Trafo Dataflow
REST
Webservice
Inbound Workflow
Inbound
Dataflow
MDM Service
Dataflows Neo4J
Workflow
Kafka Consumer Kafka Consumer
ERP Kafka Producer
REST
Webservice
REST
Webservice
REST
Webservice
REST
Webservices
Nodes 2020
11. Location Adds Spatial
Context
• Not just a point on a map –
relationships between locations,
logistical networks and customers
• Geolocation and boundaries extend
context along several dimensions
• Personalization strategies benefit from
understanding customer location and
movement
• Can be used to drive real-time
interactions and offers when customers
opt in
Nodes 2020
Hello everyone and welcome to today’s webinar titled Enterprise 360 - Graphs at the Center of a Data Fabric
Before we begin, I’d like to review some quick housekeeping items. Today’s webinar audio is streamed through your computer speakers. If you should need technical assistance with the web interface or audio, please reach out to us using the Q&A box.
You can submit your questions at any time during the presentation also using the Q&A box -- and we will answer as many of them as possible at the end. If we don’t get to answer your questions, we will follow up via email.
We are recording today’s webinar. After the webinar is over, you will receive an email with a link to the recording and slides – we encourage you to share them with your colleagues who weren’t able to make it today.
Our speaker today is Aaron Wallace. And with that, I’ll hand it over to you Aaron.
Enterprise 360 - Graphs at the Center of a Data Fabric
Providing multi-dimensional views across the enterprise requires weaving a complex network of connected data and metadata together to deliver insight and strategic focus. Industry analysts and vendors are increasingly finding that graph databases are a key enabling technology in supporting Data Fabric architectures, where detailed data catalogs and semantic models are deployed on top of graph to provide true self-service and democratization of data. Join Precisely as we illustrate how we help our customers implement a Data Fabric pattern in support of their key strategic objectives.