Analytic Template for Banking and Financial Services
Boost conventional methods for understanding the analytic possibilities in banking and financial services including survey parsing, fraud ring detection, marketing effectiveness, next gen currency marketplace, portfolio value at risk estimation, retail credit scoring, SEC filings, and sovereign debt forecasting.
Making Predictive Analytics Work - 5 Keys to Successful Model Deployment and Management
The uses for predictive analytics are extensive and growing. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. Yet, organizations are struggling to put the models they build into production. TDWI research indicates that it takes some businesses upwards of six months or more to deploy models into operation. Watch this webinar to learn how your organization can overcome deployment and management challenges.
Code-Friendly Analytics for Predictive Modeling
Join Alteryx and Factspan where we’ll demonstrate how code-free and code-friendly analytics don’t just live in the same place – they can create a new dynamic between data scientists and non-coding stake holders, getting everyone to data-ha moments faster than ever before.
Ross Whalley, Geomatic
"What I love most about Alteryx is the ease of use. The ability to be able to blend data in a very quick way but actually visualise the whole process at one go so I know exactly what’s happening when I’m working with the tool."
Nicholas Holst, FLSmidth
"What I love most about Alteryx is that I feel that I can do almost anything with data and the best thing about it is I can do it extremely fast."
Jana Kapr, Billigence Group
"Alteryx to me is exciting technology, but I look beyond the exciting technology, I look at the company which has values and genuinely tries to deliver to the customers and solves the problems for the customers."