Alteryx is an American software company specializing in data blending and advanced analytics, aimed primarily at business analysts through its self-service tools. It offers several advantages including user-friendly drag-and-drop functionality, robust data acquisition capabilities, and advanced analytics features, though it has limitations in data visualization and machine learning integration. Alteryx is seen as an all-in-one solution for ETL, visualization, and statistical analysis, making it attractive compared to competitors like SAS DI.

1. ALTERYX
BY: MD. ABU TAURAB

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.

11. Alteryx Transformations : Reporting

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.

15. Alteryx Capabilities

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

17. THANK YOU !