THE FIVE SECRETS TO SUCCESS FOR DATA SCIENTISTS

THE FIVE SECRETS TO SUCCESS FOR DATA SCIENTISTS

THE FIVE SECRETS TO SUCCESS FOR DATA SCIENTISTS AND ANALYSTS Todays Presenters Michelle Goetz Principal Analyst Dan Potter Chief Marketing Officer 2 2/1/20 Faster Data Preparation Unlocks

Agility And Insights Michele Goetz, Principal Analyst Information in the world looks like this: 2015 Forrester Research, Inc. Reproduction Prohibited 4 We need to see our business like this: Source: Forrester Research, Inc. 2015 Forrester Research, Inc. Reproduction Prohibited 5

Our data looks like this: 2015 Forrester Research, Inc. Reproduction Prohibited 6 We have so much data, but we still dont have a 360 view of our customers. Our technology partners take too

long to deliver we arent keeping up with the competition! I cant 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? 2015 Forrester Research, Inc. Reproduction Prohibited 8 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? 2014* 2015 13.78%

33.45% 52.77% 21.33% 42.25% 36.42% 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 2015 Forrester Research, Inc. Reproduction Prohibited 9

More analytic tools wont solve the problem 13% I dont 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 2015 Forrester Research, Inc. Reproduction Prohibited 10 Insight latency is a data problem 62%

50%+ 40%+ of their time preparing data vs. conducting analysis 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: Forresters Global Data And Analytics Survey 2015

2015 Forrester Research, Inc. Reproduction Prohibited 11 Organizations need to get personal with their data 2015 Forrester Research, Inc. Reproduction Prohibited 12 Data fit is a business responsibility, not IT It used to be that the business gave me 80% of their requirements for BI. Today, Im 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 2015 Forrester Research, Inc. Reproduction Prohibited 13 End users want more than IT transformation processing How satisfied are you with your primary data quality solutions capabilities? (Satisfied and Very satisfied) 46% Valida...

45% Supporting batch proces... Matching and de-duplica... 40% Clean... 40% 39% Profiling data quality condit...

34% Integration of 3rd party data for data clean... 32% Supporting a wide variety of data types (party, location, financial, product, ... 30% Enrich... 25% Ease of changing data quality rules and proce...

22% Supporting real-time proces... 19% Supporting data remediation and stewardship workf... 13% Supporting big ... 11%

Supporting cloud applications and environm... Responsive and connected data 9% Ability to handle unstructured ... Incorporating and/or processing social media ... Data quality firewall 5%

Base: 86 data management professionals Source: Forresters 2014 Global Data Quality And Trust Online Survey 2015 Forrester Research, Inc. Reproduction Prohibited 14 End users want more than transactional internal data Context Base: 193 data management professionals Source: Forresters 2014 Global Data Quality And Trust Online Survey 2015 Forrester Research, Inc. Reproduction Prohibited

15 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 2015 Forrester Research, Inc. Reproduction Prohibited 16

Work within the analytic processes 2015 Forrester Research, Inc. Reproduction Prohibited 17 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 2015 Forrester Research, Inc. Reproduction Prohibited 18

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 2015 Forrester Research, Inc. Reproduction Prohibited

19 Personalize data Orient and refine Opportunistic Data Potential sources Unclear Trust Available Data 3rd Party sources Acquired Trust Shared Data Internal sources Casual Trust Personal Data Do I trust the data?

Applications - Trusted ta Metada Data Quality Is the data ready for analysis? Prepare the data 2015 Forrester Research, Inc. Reproduction Prohibited Is the data representative?

Share tribal knowledge Collaborate Business Stakeholder Analyst Meaningful Insights Enable Repeatability Data Valuation Insight To Action

Test And Learn Tribal Knowledge Collection Consistency Enablement Data Steward 2015 Forrester Research, Inc. Reproduction Prohibited Data Architect Results will emerge 2015 Forrester Research, Inc. Reproduction Prohibited 22

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 2015 Forrester Research, Inc. Reproduction Prohibited 23 Better analytics comes from pushing past data bottlenecks self-service data sourcing and preparation sharing tribal knowledge

context for relevant insights 2015 Forrester Research, Inc. Reproduction Prohibited 24 THE FIVE SECRETS TO SUCCESS FOR DATA SCIENTISTS AND ANALYSTS Dan Potter CMO The Datawatch Promise 1.

You will spend more time analyzing not preparing data 2. You will access all of the important and trusted data you need 26 2/1/20 The 5 Secrets 1. Speed

2. Share & Collaborate 3. Self-Service on my own 4. Combine Disparate Data 5.

Share data sets 27 2/1/20 5 Secrets in Action 28 2/1/20 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 29 2/1/20 40,000 Organizations Use Datawatch Financial Services

Healthcare Government Retail Other Industries 30 19 2/1/20

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 31 2/1/20 Why 40,000 Organizations Use Datawatch?

12% Relational, Excel, Hadoop, Salesforce, etc. Only 12% of enterprise data is used to make decisions 32 2/1/20 Why 40,000 Organizations Use Datawatch? 12%

88% Relational, Excel, Hadoop, Salesforce, etc. Reports, Web Pages, JSON, Log Files, etc. Make Better Decisions 33 2/1/20 Utilized Across the Organization Analytics

Operations Analysts - Financial Analysts - Marketing Analysts - Sales Analysts - Operations Analysts Broad Array of Users - Finance - Supply Chain - Risk - Sales & Marketing

Use Cases - Visualization & Discovery - Dashboards - Advanced Analytics Use Cases - Reconciliation - Auditing - Compliance - Consolidation 34 2/1/20 Recommended Next Steps

Try it for free datawatch.com 35 2/1/20 Thank You! Michelle Goetz Principal Analyst Dan Potter

Chief Marketing Officer 36 2/1/20 THE FIVE SECRETS TO SUCCESS FOR DATA SCIENTISTS AND ANALYSTS Work With Trusted Data Use reports as a data source Immediately available Dont have to wait to move into warehouse Dont need access to system

Trusted data Data used consistently Incorporates business logic 38 2/1/20

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