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ALTERYX
BY: MD. ABU TAURAB
INDEX
 ALTERYX OVERVIEW
 PROS OF ALTERYX
 CONS OF ALTERYX
 Why Alteryx ?
 Alteryx vs SAS DI
 ETL Transformation Workflow
 Reporting Tools Work Flow
 Data Cleaning tools Transformation
ALTERYX OVERVIEW
 Alteryx is an American computer software company based out of Irvine, California,
with a development center in Broomfield, Colorado.
 The company's products are used for data blending and advanced data analytics.
 PROPERTIES
1. Data Blending, enrichment and Advanced analytical tools specifically cater to
Business Analyst.
2. Self-Service data analytics.
3. Prep, blend and analyze all data to deploy and share deeper insights in hours.
PROS OF ALTERYX
 It can generate reports, schedule reports, and do auto email reports.
 This is a drag-and-drop tool which is easy-to-use and yet can be customize.
 Alteryx speeds up the time to obtain business answers/insights on data.
 Data acquisition, accessing all types of data services no matter the format, vendor or platform,
you can connect, read and process the data.
 Data blending and descriptive, creating consolidated data sets, such as joins, unions, summarize,
and all basic and advanced data manipulation tasks.
 Advanced analytics, like predictive and prescriptive analysis, are very good tools.
 Spatial operations and analytics are super powerful for analysis which requires these types of
models/operations.

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process that manages the data extracts and caches them in memory for fast access. Tableau 26 Architecture Gateway / Load balancer: distributes requests from clients to application servers. It provides high availability and scalability. Customers: Tableau offers desktop, web and mobile clients to access Tableau Server. - Tableau Desktop: allows you to create and edit visualizations and dashboards. - Web interface: allows you to view and interact with published views. - Tableau Mobile: optimized for mobile devices to view and interact with published views. Tableau 27 Technical Review Tableau 28 Technical Review Data Connectivity - Connects to a

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CONS OF ALTERYX
 There is lot of room for improvement for data visualization.
 Requires better integration with data platforms.
 The techniques included for machine learning are far behind the times.
 The software integrates but not cleanly with many advanced machine learning platforms
 Predictive analytics is not used by everyone, it's potential can be unmasked only with data
science use cases.
 Even when it already includes some AI models, this area could be improved.
Why Alteryx ?
•Single Analytic Experience
•Drag and Drop Workflow
•Advance Data Modelling
•Spatial Analysis
•Visual competence
•Sharing
Why Alteryx ?
Alteryx is one stop shop. Provides solutions for ETL, Visualisation and
Data/Statistical Analysis.
ALTERYX VS SAS DI
 Both products are great options, but your winner depends on your needs.
 Alteryx does a great job of allowing more beginner Analysts.
 The codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No
coder needed.
 Alteryx allows data scientists to bring their own programming language to Alteryx, such as R or Python.
 SAS DI have features to embed user defines SAS code to extract and transform data as per business
requirements.
 Sometimes parts of the data are not available, although this is generally because it is connected to so
many different systems.
 Sometimes all the different systems and platforms and folders and so forth get a bit overwhelming for
new users

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ETL Transformations
Cross – Transpose Tool Summarize Tool
Fuzzy Match Tool
Running Total Tool Random Sample Count Tool
Tools Description
 Cross-Tab - Pivot the orientation of the data stream so that vertical fields are on the horizontal
axis, summarized where specified.
 Transpose Tool - Pivot the orientation of the data stream so that horizontal fields are on the
vertical axis.
 Fuzzy Match - Identify non-identical duplicates in a data stream.
 Summarize Tool - Summarize data by grouping, summing, counting, spatial processing, string
concatenation, and much more.
 Running Total - Calculate a cumulative sum per record in a data stream.
 Random Sample - Generate a random number or percentage of records passing through the
data stream.
Alteryx Transformations : Reporting
Tools Description
 Table - Create a data table for output via the Render tool.
 Charting - Create a chart (Area, Column, Bar, Line, Pie, etc.) for output via the Render tool.
 Report Header - Add a header to a report for output via the Render tool.
 Report Footer - Add a footer to a report for output via the Render tool.
 Report Text -Add and customize text for output via the Render tool.
 Layout - Arrange two or more reporting snippets horizontally or vertically for output via the
Render tool.

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Data Cleaning Transformation
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Find And Replace Imputation
Tools Description
 Data Cleansing - The Data Cleansing tool performs basic data cleansing operations
such as replacing null values, removing punctuation, and modifying capitalization.
 Append Fields - Append the fields from a source input to every record of a target
input. Each record of the target input will be duplicated for every record in the
source input.
 Find and Replace - Search for data in one field from one data stream and replace it
with a specified field from a different stream. Similar to an Excel VLOOKUP.
 Imputation - Update specific values in a numeric data field with another selected
value. Useful for replacing NULL() values.
Alteryx Capabilities
Important links to learn Alteryx
 https://www.youtube.com/watch?v=8kUPNSBHCxo
 https://help.alteryx.com/current/designer/get-started
 https://www.alteryx.com/alteryx-success-center#gettingstarted
 https://www.youtube.com/watch?v=YISWJ-G7Zt4
 https://community.alteryx.com/t5/Videos/bd-p/live-training
 https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons
 https://community.alteryx.com/t5/Alteryx-Designer-Knowledge-Base/tkb-
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Alteryx Presentation

  • 2. INDEX  ALTERYX OVERVIEW  PROS OF ALTERYX  CONS OF ALTERYX  Why Alteryx ?  Alteryx vs SAS DI  ETL Transformation Workflow  Reporting Tools Work Flow  Data Cleaning tools Transformation
  • 3. ALTERYX OVERVIEW  Alteryx is an American computer software company based out of Irvine, California, with a development center in Broomfield, Colorado.  The company's products are used for data blending and advanced data analytics.  PROPERTIES 1. Data Blending, enrichment and Advanced analytical tools specifically cater to Business Analyst. 2. Self-Service data analytics. 3. Prep, blend and analyze all data to deploy and share deeper insights in hours.
  • 4. PROS OF ALTERYX  It can generate reports, schedule reports, and do auto email reports.  This is a drag-and-drop tool which is easy-to-use and yet can be customize.  Alteryx speeds up the time to obtain business answers/insights on data.  Data acquisition, accessing all types of data services no matter the format, vendor or platform, you can connect, read and process the data.  Data blending and descriptive, creating consolidated data sets, such as joins, unions, summarize, and all basic and advanced data manipulation tasks.  Advanced analytics, like predictive and prescriptive analysis, are very good tools.  Spatial operations and analytics are super powerful for analysis which requires these types of models/operations.
  • 5. CONS OF ALTERYX  There is lot of room for improvement for data visualization.  Requires better integration with data platforms.  The techniques included for machine learning are far behind the times.  The software integrates but not cleanly with many advanced machine learning platforms  Predictive analytics is not used by everyone, it's potential can be unmasked only with data science use cases.  Even when it already includes some AI models, this area could be improved.
  • 6. Why Alteryx ? •Single Analytic Experience •Drag and Drop Workflow •Advance Data Modelling •Spatial Analysis •Visual competence •Sharing
  • 7. Why Alteryx ? Alteryx is one stop shop. Provides solutions for ETL, Visualisation and Data/Statistical Analysis.
  • 8. ALTERYX VS SAS DI  Both products are great options, but your winner depends on your needs.  Alteryx does a great job of allowing more beginner Analysts.  The codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No coder needed.  Alteryx allows data scientists to bring their own programming language to Alteryx, such as R or Python.  SAS DI have features to embed user defines SAS code to extract and transform data as per business requirements.  Sometimes parts of the data are not available, although this is generally because it is connected to so many different systems.  Sometimes all the different systems and platforms and folders and so forth get a bit overwhelming for new users
  • 9. ETL Transformations Cross – Transpose Tool Summarize Tool Fuzzy Match Tool Running Total Tool Random Sample Count Tool
  • 10. Tools Description  Cross-Tab - Pivot the orientation of the data stream so that vertical fields are on the horizontal axis, summarized where specified.  Transpose Tool - Pivot the orientation of the data stream so that horizontal fields are on the vertical axis.  Fuzzy Match - Identify non-identical duplicates in a data stream.  Summarize Tool - Summarize data by grouping, summing, counting, spatial processing, string concatenation, and much more.  Running Total - Calculate a cumulative sum per record in a data stream.  Random Sample - Generate a random number or percentage of records passing through the data stream.
  • 12. Tools Description  Table - Create a data table for output via the Render tool.  Charting - Create a chart (Area, Column, Bar, Line, Pie, etc.) for output via the Render tool.  Report Header - Add a header to a report for output via the Render tool.  Report Footer - Add a footer to a report for output via the Render tool.  Report Text -Add and customize text for output via the Render tool.  Layout - Arrange two or more reporting snippets horizontally or vertically for output via the Render tool.
  • 13. Data Cleaning Transformation Data Cleansing Append Tool Find And Replace Imputation
  • 14. Tools Description  Data Cleansing - The Data Cleansing tool performs basic data cleansing operations such as replacing null values, removing punctuation, and modifying capitalization.  Append Fields - Append the fields from a source input to every record of a target input. Each record of the target input will be duplicated for every record in the source input.  Find and Replace - Search for data in one field from one data stream and replace it with a specified field from a different stream. Similar to an Excel VLOOKUP.  Imputation - Update specific values in a numeric data field with another selected value. Useful for replacing NULL() values.
  • 16. Important links to learn Alteryx  https://www.youtube.com/watch?v=8kUPNSBHCxo  https://help.alteryx.com/current/designer/get-started  https://www.alteryx.com/alteryx-success-center#gettingstarted  https://www.youtube.com/watch?v=YISWJ-G7Zt4  https://community.alteryx.com/t5/Videos/bd-p/live-training  https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons  https://community.alteryx.com/t5/Alteryx-Designer-Knowledge-Base/tkb- p/knowledgebase