1. The Five Secrets to Success for Data Scientists and Analysts

2. Chief Marketing Officer
Today’s Presenters
Michelle Goetz
Principal Analyst
Dan Potter
Chief Marketing Officer

3. Faster Data Preparation Unlocks Agility And Insights
Michele Goetz, Principal Analyst

4. Information in the world looks like this:

5. We need to see our business like this:
Source: Forrester Research, Inc.

6. Our data looks like this:

7. Do any of these team conversations sound familiar?
We have so much data, but we still don’t have a 360 view of our customers.
Our technology partners take too long to deliver – we aren’t keeping up with the competition!
I can’t keep up with the requests for reports and insights from Marketing.
Do any of these team conversations sound familiar?
Photo © Copyright 2015 Lisa Larter Consulting. All Rights Reserved.

8. Where are your analytics investments going?

9. “What is your level of satisfaction with analytics in your company?
Satisfaction is on the decline even as investment in analytics is on the rise.
“What is your level of satisfaction with analytics in your company?
Base: 1200 global data and analytics business decision-makers
*Base: 595 global data and analytics business decision-makers
Source: Business Technographics® Global Data & Analytics Survey, 2015 and 2014

10. More analytic tools won’t solve the problem
13%
I don’t have the tools I need to analyze the data
Base: 100 US professionals who are responsible for data within their organization
Source: A commissioned study conducted by Forrester Research on behalf of Datawatch February 2016

11. Insight latency is a data problem
62%
40%+ of their time preparing data vs. conducting analysis
50%+
Months or longer for IT to source data for analytics*
Base: 100 US professionals who are responsible for data within their organization
*Base: 855 Business and IT decision makers from companies with 500 employees or more in the US
Source: A commissioned study conducted by Forrester Research on behalf of Datawatch February 2016
*Source: Forrester’s Global Data And Analytics Survey 2015

12. Organizations need to get personal with their data…

13. Data fit is a business responsibility, not IT
“It used to be that the business gave me 80% of their requirements for BI. Today, I’m lucky if I get 20%.”
- Head of Enterprise Architecture for Global Oil & Gas company
“I know good data when I see it.”
- Data scientist at a North American Retailer

14. End users want more than IT transformation processing
“How satisfied are you with your primary data quality solution’s capabilities?”
(Satisfied and Very satisfied)
Data quality firewall
Responsive and connected data
Base: 86 data management professionals
Source: Forrester’s 2014 Global Data Quality And Trust Online Survey

15. End users want more than transactional internal data
Context
Base: 193 data management professionals
Source: Forrester’s 2014 Global Data Quality And Trust Online Survey

16. End user empowerment is paramount
62%
We envision giving business users flexibility to pull and use data from a central hub.
Base: 539 Business and IT decision makers from companies with 500 employees or more in the US
Source: Business Technographics® Global Data & Analytics Survey, 2015

17. Work within the analytic processes…

18. Speed, autonomy, and collaboration are the cornerstone to data preparation
Base: 100 US professionals who are responsible for data within their organization
Source: A commissioned study conducted by Forrester Research on behalf of Datawatch February 2016

19. What problem will better insight solve?
Objective:
How do I better communicate with customers?
Data:
What information is relevant to help improve communication?
Business Stakeholder

20. Personalize data – Orient and refine
Opportunistic Data
Potential sources – Unclear Trust
Available Data
3rd Party sources – Acquired Trust
Shared Data
Internal sources – Casual Trust
Do I trust the data?
Metadata
Is the data representative?
Personal Data
Applications - Trusted
Data Quality
Digital ecosystem
Is the data ready for analysis?
Prepare the data

21. Share tribal knowledge – Collaborate
Business Stakeholder
Analyst
Insight To Action
Test And Learn
Data Valuation
Meaningful Insights
Repeatability
Enable
Tribal Knowledge Collection
Consistency Enablement
Data Steward
Data Architect

22. Results will emerge…

23. Data preparation creates the insight driven business
Base: 100 US professionals who are responsible for data within their organization
Source: A commissioned study conducted by Forrester Research on behalf of Datawatch February 2016

24. Better analytics comes from… … pushing past data bottlenecks …self-service data sourcing and preparation …sharing tribal knowledge …context for relevant insights

25. The Five Secrets to Success for Data Scientists and Analysts
Dan Potter CMO

26. The Datawatch Promise
You will spend more time analyzing not preparing data
You will access all of the important and trusted data you need

27. The 5 Secrets Speed Share & Collaborate Self-Service – on my own
Combine Disparate Data
Share data sets

28. 5 Secrets in Action

29. Embedded and Resold by Industry Leaders
IBM selected Datawatch for:
IBM Watson Analytics
IBM Cognos Analytics
IBM Content Manager on Demand
Dell selected Datawatch for:
Dell Statistica for Predictive Analytics
Dell Edge Gateway for IoT

30. 40,000 Organizations Use Datawatch
Financial Services
Healthcare
Government
Retail
We serve some of the world’s largest, most complex organizations across all industry verticals
1 or 2 use cases, validation examples, display why differentiation matters:
Credit Suisse – land and expand example
Johnson & Johnson -
Other Industries 19

31. Why 40,000 Organizations Use Datawatch?
SPEND LESS TIME PREPARING DATA
Analysts waste up to 80% of their time preparing data versus analyzing
$22,000 per year, 
per analyst wasted

32. Why 40,000 Organizations Use Datawatch?
12%
Relational, Excel, Hadoop, Salesforce, etc.
Only 12% of enterprise data is used to make decisions

33. Why 40,000 Organizations Use Datawatch?
12%
Relational, Excel, Hadoop, Salesforce, etc.
Reports, Web Pages, JSON, Log Files, etc.
88%
Make Better Decisions

34. Utilized Across the Organization
“Analysts”
Financial Analysts
Marketing Analysts
Sales Analysts
Operations Analysts
Use Cases
Visualization & Discovery
Dashboards
Advanced Analytics
Analytics
Broad Array of Users
Finance
Supply Chain
Risk
Sales & Marketing
Use Cases
Reconciliation
Auditing
Compliance
Consolidation
Operations

35. Recommended Next Steps
Try it for free datawatch.com

36. Chief Marketing Officer
Thank You!
Michelle Goetz
Principal Analyst
Dan Potter
Chief Marketing Officer

37. The Five Secrets to Success for Data Scientists and Analysts

38. Work With Trusted Data Use reports as a data source
Immediately available
Don’t have to wait to move into warehouse
Don’t need access to system
Trusted data
Data used consistently
Incorporates business logic
DAN PRESENTS