Inspire 2017 | Tech Track Ideas

Shape the agenda. Submit your ideas for the Tech Track.

Data Quality and Data Hygiene

Learning best practices, when data quality and hygine is the most critical, and not so obvious ways you can use Alteryx to ensure you have a healty dataset prior to building more sohpisticated analytics models. 

 

 

4 Comments
CristonS
Alteryx Alumni (Retired)

Agree - this is very important.  Not just for pre-predictive and modeling, but overall best practices.

Atabarezz
13 - Pulsar

Looking forward to some advanced data quality techniques to be covered;

 

  • Data quality tracking and quality scoring
  • Fuzzy joining data sets
  • Handling missing values with predictive tools (advanced imputation)

 

LeahK
Alteryx Alumni (Retired)
Status changed to: Approved Session

More details to come! 

Atabarezz
13 - Pulsar

Sounds great!

Would love to see how Alteryx tackles data quality problems compared to the guys in the relevant quadrant

 

 

data-quality-magic-quadrant-2016.jpg

 

Magic Quadrant for Data Quality Tools