A special presentation with two leaders in the data ecosystem from Microsoft Power BI and TigerGraph: Geoff Fawcett, Principal Technical Specialist, Business Intelligence, Microsoft Victor Lee, Director of Product Marketing, TigerGraph Live: https://www.cdata.com/resources/graph-analytics-tigergraph-microsoft/ TigerGraph is a leading graph database, using data relationships to unlock value through advanced analytics. Graph data has long been popular for entity resolution, fraud detection, and customer 360, and more recently for training AI models. But due to their unique format, graphs aren’t natively compatible with analytics platforms that require SQL standard data. CData and TigerGraph have a solution for this challenge, and we are pleased to demonstrate graph analytics in Microsoft Power BI, a leading data analytics, reporting, and visualization platform.

1. The real-time data connectivity company.

2. Real-Time Graph Analytics in Power BI

3. 3
• Introducing CData
• Introducing TigerGraph
• Why CData & TigerGraph
• Introducing Power BI
• Demo
• Q & A
Agenda

4. 4
Based in Chapel Hill, NC, with offices in Europe,
Japan, and India, CData is the leader in real-time
data connectivity software for enterprises,
developers, and data scientists.
© 2023 CData Software Inc. — CONFIDENTIAL – DO NOT DUPLICATE OR DISTRIBUTE
CData Software
EMPLOYEES
400+
ACTIVE CUSTOMERS
10,000+
OEM PARTNERS
180+

5. Introducing TigerGraph

6. © 2023. ALL RIGHTS RESERVED. | TIGERGRAPH.COM
● TigerGraph is a scalable, high-performance graph data platform
for Advanced Analytics and Machine Learning
● On the cloud or on premises
● Customers include the largest companies in financial services, healthcare, telecom, media,
utilities and innovative startups in cybersecurity, ecommerce and retail
Who is TigerGraph?
6

7. © 2023. ALL RIGHTS RESERVED. | TIGERGRAPH.COM
Graphs make sense of the relationships in your data
7
Name Address
Alice Richmond
Bob Richmond
Name Account
ACME Business
Bob Savings
Name Directorship
Alice ACME
Carlos ACME
Richmond
Bob Alice Carlos
Savings
ACME
Business
Pre-learn the relationships into your
data so tracing between entities is
easy and quick
Have to re-learn the relationships in
your data every time you use it
Conventional databases Graph databases

8. © 2023. ALL RIGHTS RESERVED. | TIGERGRAPH.COM |
Tables vs Graph: Connections Matter!
8
Name Latitude Longitude Line
Acton Town 51.5025 -0.278126 District, Piccadilly
Aldgate 51.51394 -0.07537 Metropolitan
Aldgate East 51.51514 -0.07178 District, Hammersmith & City
Alperton 51.54097 -0.30061 Piccadilly
Amersham 51.67435 -0.60732 Metropolitan
Angel 51.53253 -0.10579 Northern
Archway 51.56536 -0.13474 Northern
Arnos Grove 51.61625 -0.13355 Piccadilly
Arsenal 51.55847 -0.10561 Piccadilly
Baker Street 51.52265 -0.15704 Circle, Hammersmith & City, Bakerloo, Jubilee
Balham 51.44344 -0.152945 Northern
Bank 51.51340 -0.089058 Central, Waterloo & City
Barbican 51.52086 -0.097758 Circle, Hammersmith & City, Metropolitan
Barking 51.54079 0.08018 District, Hammersmith & City
Barkingside 51.58543 0.08854 Central
Barons Court 51.49028 -0.21434 Piccadilly, District
Battersea Power S 51.4795 -0.142 Northern
London Underground Stations

9. © 2023. ALL RIGHTS RESERVED. | TIGERGRAPH.COM |
Real-World Outcomes from Graph Data Science
Healthcare:
Real-time recommendations
● Connect patients, symptoms,
treatment, drugs, providers
● Real-time care recommendations
● Improving healthcare,
lowering cost
Industrial Supply Chain:
Analytics for decisions
● Connect components, providers,
assembly, transit, costs
● Analytics: weeks→ minutes
● Reveal opportunities, optimize
tactical & strategic decisions
Financial Services:
Real-time fraud detection
● Connect parties, accounts,
transactions, known fraud
● Integrates multiple tools
● Real-time visual results for
investigators
9
Each use case saved the
customer $10s millions

10. © 2023. ALL RIGHTS RESERVED. | TIGERGRAPH.COM |
Analytics/Insight from Graph Algorithms
10
Similarity
Find vertices with
similar surroundings
Uses
● Recommendation
● Classification
Clustering
Partition/Group
vertices based on
connections
Uses
● Target groups by
social, business,
process interactions
Centrality
Find most central or
"important" vertex
Uses
● Pick best locations
● Identify critical
entities
Shortest Path
Find the best path/tree
from A to B
Uses
● Route/coverage
optimization
● Process optimization
Classification
Tag similar vertices
with the same class
Uses
● Fraud detection
● Market
segmentation

11. © 2023. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | 11
ML
Test, Train,
Predict
Data Features Model Output
Conventional feature
engineering pipeline
Graph
feature
engineering
20%+
Uplift in
Accuracy
Structure as a graph
Graph features boost ML performance
Combine
Features

12. TigerGraph + CData + Power BI

13. Business
Analysts
Data Engineering
& Data Science
Everyday
End Users
Low-Code/No-Code
Developers
Collaboration
Data skills & tools
Advanced Intermediate Basic

15. Visualization

16. Extend with Azure ML
Integrate into reports Python Integration
R Integration Create ML models
Explore predictions
Sentiment Analysis
Key Phrase Extraction
AI Visualizations
Natural Language
Advanced Analysis & AI

17. Demo: Visualizing TigerGraph in Power BI
U s e C as e: A n a lyz i n g th e Sa l e s Pi p e l i n e

18. Q & A

19. 19
• Get CData Connectors for free:
cdata.com/drivers/tigergraph
• Get TigerGraph Cloud for free:
tgcloud.io
• Get Power BI for free:
powerbi.microsoft.com
Next Steps