Analytics projects typically require six or more data sources—and nearly half will incorporate external data too. Smart, agile, and trusted data preparation breaks through the barriers to success. Alteryx empowers analysts to work with data at speed ―visually sourcing, blending, and enriching it to power analytics across the enterprise.
Trusted insight starts with data that is complete and statistically sound. Easy to read, visuals show the statistical distribution of the data, as well as grade the completeness of each value―providing perspective on data integrity. Quickly enhance data by blending in supplemental data, eliminating nulls, investigating issues, normalizing and standardizing values.
Your databases like Amazon Redshift, Oracle, Microsoft SQL Server, Cloudera Impala, Spark, and Teradata provide powerful built-in data processing. Alteryx embraces it. In-database processing pushes down queries, formulas, filters, joins directly to the database using native database operations, to maximize performance. So, your data preparation process isn’t just intuitive―it’s scalable too.
The best analytics is based on the best and most timely data. Alteryx empowers analysts to effortlessly connect, prep, cleanse, blend and join data from databases, cloud and on-premise apps, social sources, unstructured data, spreadsheets and more. Iterative, visual workflows accelerate every step of the data preparation and blending process—while maximizing reuse and governance.
Unchecked, analysts can spend up to 80-percent of their time data wrangling in spreadsheets. Alteryx simplifies it with an intuitive no-code user interface that is up to 100X faster than traditional approaches. Frictionless connectivity to sources and targets, drag and drop visual workflows, repeatability through reuse and sharing all work together to maximize productivity.