Self-Service Data Preparation with Monarch Complete

Post on 16-Jan-2017

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transcript

SELF-SERVICE DATA PREPARATION

Dan Potter, Chief Marketing Officer

Jon Pilkington, Chief Products Officer

2

Agenda

See Datawatch in Action

2

Next Steps

The Value of Self-Service Data Preparation

1

3

Self-Service Drives Better Business Outcomes

Business Outcomes

Laggards

Leaders

Acce

ss to

Da

ta

Speed to Insight

3

Requires

More data for

better insight

Faster analysis

and delivery

4

The Promise of Self-Service BI

Provide greater

organizational agility

by empowering

users to be self-

sufficient

…but barriers still remain

5

The Challenge of Self-Service

Latency

of an analyst’s time is spent preparing data

80%

Expense

90%

of the manual effortto 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

Self-Service Data Preparation

Extract

Manipulate

Enrich

Combine

Automate

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

Self-Service Data Preparation

Extract

Manipulate

Enrich

Combine

Automate

Manipulate

Over 80 prebuilt functions for date, string,

numeric and text conversion.

9

Self-Service Data Preparation

Extract

Manipulate

Enrich

Combine

Automate

Enrich

Add calculated fields, mask data (e.g.

redact or pseudonymization)

10

Self-Service Data Preparation

Extract

Manipulate

Enrich

Combine

Automate

Combine

Multiple options to join disparate data

including streaming and semi-structured

sources.

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

• 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

Monarch in Action!

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

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

Question and Answer

Type your question in the Q&A

box on the right

18

Try it Today!

Free Monarch Personal EditionOr

14 Day Trial of Monarch Complete

Join the Datawatch Community

Attend our Next Webinar

Episode 2: Data Preparation and Automation

Next Steps

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

THANK YOU!

Dan Potter, Chief Marketing Officer

Jon Pilkington, Chief Products Officer