This document discusses the challenges of using SQL for data analysis and introduces Alteryx as an alternative. It notes that SQL can be difficult to understand and repeat, while Alteryx allows users to see the full data workflow, perform transformations without coding, and access different data sources flexibly. The presentation includes an agenda, overview of Alteryx's benefits, and demonstration of its capabilities.

1. Focus onYour Analysis, NotYour SQL Code
Beth Narrish, Senior Product Marketing Manager
Dan Hilton, Solutions Architect
Mar 7, 2017

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Agenda
• SQL and SQL
Challenges
• Who is Alteryx
• Benefits ofWorkflow
• Demo
• Q&A
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The legacy approach to analytics is often challenging for
organizations
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Data Blending
Predictive &
Spatial Analytics
Production &
Output Creation
Data Access Prep
& Cleansing
Data integration tool Analytic coding App creationData quality tool
Slow, long process Multiple tools and
process steps
Expensive software
and labor
IT Staff Data Scientists Line-of-Business

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And while many organizations are relying on spreadsheets for
data analysis, they are also using low-level SQL queries
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Only
Harvard Business Review: Data Blending:A Powerful Method For Faster, Easier Decisions

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• SQL is the standard language for relational
database management systems and has been for
40 years
• Source: American National Standards
Institute
• While NoSQL has gained popularity with
Hadoop, MongoDB and other sources, SQL is still
king
• Impala and Spark can utilize SQL
Why SQL?
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But SQL can pose challenges for analysts and their colleagues
• Colleagues often cannot pick up SQL code
and understand how data was pulled
• Documenting steps is needed to repeat the
process when data changes
• Troubleshooting each step in a complex
query can be tedious
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A Leading Platform for Self-Service DataAnalytics
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Prep, blend, and analyze
all your data using a
repeatable workflow
Deliver deeper insights
in hours, not weeks
Deploy and share
analytics at scale

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A Leading Platform for Self-Service DataAnalytics
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Enrich
Prep & Blend Analyze
Input All Relevant Data
Share
OutputAll Popular Formats

9. How Alteryx Helps SQL Coders
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WhyWorkflows?
Transparency
See data flow through the process, and
the actions performed at every step
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WhyWorkflows?
SeamlessTransformations
Extract, transform and load data
without writing any code
Efficiency In Debugging,Testing
and Prototyping
Stop spending time writing code only
to get a null data set; understand
exactly what is happening at each
stage of your analytic process
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WhyWorkflows?
Accessibility
Access structured, unstructured or
semi-structured data from virtually
any environment: SQL Server,
NoSQL databases, desktop, cloud,
Big Data environments, and more
Flexibility
Leverage existing SQL statements,
and develop new procedures
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13. Demonstration

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Conclusion
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Conclusion
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16. See whatAlteryx can do for you!
http://www.alteryx.com/alteryx-for-sql
http://www.alteryx.com/product-training
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