The Five Secrets to Success for Data Scientists and Analysts

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

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

Information in the world looks like this:

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

Our data looks like this:

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.

Where are your analytics investments going?

“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

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

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

Organizations need to get personal with their data…

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

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

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

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

Work within the analytic processes…

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

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

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

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

Results will emerge…

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

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

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

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

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

5 Secrets in Action

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

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

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

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

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

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

Recommended Next Steps Try it for free datawatch.com

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

The Five Secrets to Success for Data Scientists and Analysts

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