1. The Leading Platform for Self-Service Data Analytics
Share
Output All Popular Formats
Enrich
Input All Relevant Data
Prep & Blend
Analyze
It is useful to think of Alteryx as a repeatable workflow to prep, blend and analyze all your data. First, we enable analysts to access, prep, and blend all the relevant data they need for their analytics, whether that data is stored in Hadoop, a data warehouse, in the cloud or on their desktop in Excel. Data types can be structured, unstructured, or semi-structured – Alteryx can work with and join them all together on common fields or geographic proximity.
We have relationships with some of the leading providers of third-party data so you can enrich your internally collected data with additional insight. The end result is that you can easily join data from multiple sources to create the analytic dataset you need for analysis.
Next, you can use the same workflow and the same intuitive user interface to perform your analytics – predictive, statistical and spatial. The predictive capabilities are based on the R language, but we have created packaged tools that can be simply dragged and dropped into the workflow and then configured. These tools require no coding expertise, but if you do have an R programmer they can customize these tools or even create their own tools to be reused in Alteryx. Our spatial analytics tools utilize data from TomTom to build trade areas based on drive times or other variables to do sophisticated location or geospatial analysis.
Finally, its important to make it easy to share the deeper business insight you are producing. With a legacy analytic approach, analytic apps and reports often have to be created in another environment or custom coded. With Alteryx this step is just added to the end of the workflow to enable reporting, output data for visualization, or create analytic apps that allow business decision makers throughout your organization to customize and run their own analytics without having you create custom reports.

2. Types of Self-Service Data Preparation Vendors
Stand-Alone
Integrated With BI/Data Discovery
ClearStory Data
Platfora
Datameer
Looker
Microsoft Power Query
Tibco Spotfire
Cambridge Semantics
Informatica
Paxata
Hitachi Group (Pentaho)
Tamr
Trifacta
Dell (Toad)
IBM DataWorks
Waterline Data*
Alation*
Zaloni*
Lavastorm
Datawatch
Tableau
Qlik
IBM Watson Analytics
MicroStrategy
SAP Lumira
SAS Visual Analytics
Alpine
IBM SPSS
Knime
RapidMiner
SAS Enterprise Guide
*Near-Term Road Map
Source: Gartner BI & Analytics Summit 2016, The Next Big Market Disruption: Self-Service Data Prep, Rita Sallam
Integrated With Advanced
Analytics Platforms
@2016 Gartner, Inc. and/or its affiliates. All rights reserved.

3. “Overall Benefit in the Line of Business” Breadth of Capabilities vs
“Overall Benefit in the Line of Business” Breadth of Capabilities vs. Ease of Use vs. Achievement of Business Benefit – Gartner MQ Dec. 2015