This document discusses self-service data preparation. It notes that 80% of an analyst's time is spent preparing data, and 90% of manual effort in data preparation should be automated. The document then outlines the key capabilities of Datawatch's self-service data preparation product, Monarch, including extracting, manipulating, enriching, combining, and automating data. It positions Monarch as the market leader with a powerful and proven engine built for large organizations. The presentation concludes by demonstrating Monarch and outlining pricing options.

1. SELF-SERVICE DATA PREPARATION
Dan Potter, Chief Marketing Officer
Jon Pilkington, Chief Products Officer

2. 2
Agenda
See Datawatch in Action
2
Next Steps
The Value of Self-Service Data Preparation
1

3. 3
Self-Service Drives Better Business Outcomes
Business Outcomes
Laggards
Leaders
AccesstoData
Speed to Insight
3
Requires
More data for
better insight
Faster analysis
and delivery

4. 4
The Promise of Self-Service BI
Provide greater
organizational agility
by empowering
users to be self-
sufficient
…but barriers still remain

5. 5
The Challenge of Self-Service
Latency
of an analyst’s time
is spent preparing data
80%
Expense
90%
of the manual effort
to should be automated
Access
Only 12%
of enterprise data is used
for to make decisions
Risk
<10%
of self-service
initiatives will be
governed sufficiently
.

6. 6
Self-Service Data Preparation
Extract
Manipulate
Enrich
Combine
Automate

7. 7
Self-Service Data Preparation
Extract
Manipulate
Enrich
Combine
Automate
Extract
Automatically parse for multi-structured
content or connect directly to structured
and streaming data.

8. 8
Self-Service Data Preparation
Extract
Manipulate
Enrich
Combine
Automate
Manipulate
Over 80 prebuilt functions for date, string,
numeric and text conversion.

9. 9
Self-Service Data Preparation
Extract
Manipulate
Enrich
Combine
Automate
Enrich
Add calculated fields, mask data (e.g.
redact or pseudonymization)

10. 10
Self-Service Data Preparation
Extract
Manipulate
Enrich
Combine
Automate
Combine
Multiple options to join disparate data
including streaming and semi-structured
sources.

11. 11
Self-Service Data Preparation
Extract
Manipulate
Enrich
Combine
Automate Automate
Scheduled or event driven execution and
delivery through shared, reusable data
prep models

12. 12
• Market leader in Self-Service Data Preparation
• Built upon the most powerful engine used by the world’s
largest organizations for 20+ years
• Easy to install, use and share results
• Part of an enterprise platform to grow when you’re ready
Datawatch Monarch

13. 13
Monarch in Action!

14. 14
Multi-structured to
streaming data
Proven scalability
to thousands of
users
Remove risk of
non-managed
data & processes
Intelligent UI
with powerful
engine
DISCOVER
Datawatch Managed Analytics Platform
GOVERN
ACQUIRE
PREPARE
AUTOMATE

15. 15
Proven Success in Data-Driven Industries
HealthCare
Government
Financial
Services
Manufacturing
Retail

16. 16
Compared to many vendors that are
barely past their start-up roots in the self-
service analytics world, Datawatch is a 20
year old data management veteran. The
vendor has successfully catered to
complex data management challenges at
very large clients and its software has
been battle-tested in regulated verticals
such as financial services and
healthcare.

17. 17
Question and Answer
Type your question in the Q&A
box on the right

18. 18
Try it Today!
Free Monarch Personal Edition
Or
14 Day Trial of Monarch Complete
Join the Datawatch Community
Attend our Next Webinar
Episode 2: Data Preparation and Automation
Next Steps

19. 19
Monarch
Personal
Monarch
Classic
Monarch
Complete
Data Prep Studio Yes No Yes
Multi-structured
Content
Auto-parsing only Full extraction and
manipulation
Full extraction and
manipulation
Database and
Salesforce
Connectors
Limited Limited Yes
Web Scraping Yes No Yes
Data Masking No Yes Yes
Limitations 100K row input;
2K row output
No No
Pricing FREE! $895 per year $1,595 per year

20. THANK YOU!
Dan Potter, Chief Marketing Officer
Jon Pilkington, Chief Products Officer