Visual Analytics

SAS Visual Analytics provides a complete platform for analytics visualisation, enabling you to identify patterns and relationships in data that weren’t initially evident. Users of all levels can visually explore data on their own while tapping into powerful in-memory technologies for faster analytic computations and discoveries.

With SAS Visual Analytics you can:

Facilitated by Visual Analytics experts, these 90 minute workshops are complimentary, and designed to teach you to uncover hidden opportunities, identify key relationships and make more precise decisions to drive success faster.

Who should be using SAS Visual Analytics?

Anyone in your organisation who wants to use and derive insights from data – from influencers, decision-makers and analysts to statisticians and data scientist. SAS Visual Analytics offers IT an easy way to protect and manage data integrity and security.

Enterprise Miner

SAS Enterprise Miner provides an optimized architecture so data miners and business analysts can work more quickly to create accurate predictive and descriptive models, and produce results that can be shared and incorporated into business processes. To enhance the data mining process, SAS Enterprise miner is designed to work seamlessly with other SAS technologies, such as data integration, analytics and reporting.

Used by customers to help identify fraud in insurance claims, reducing credit loan risk or targeting messages to refined customer segments, SAS Enterprise Miner will help you develop models to find the patterns that matter most.

With SAS Enterprise Miner you can:

Facilitated by Enterprise Miner experts, these 90 minute workshops are complimentary, and designed to teach you to how to create highly accurate analytical models that enable you to predict with confidence

Registration closed - Please contact tracy.bolton@sas.com for more details

Who should be using SAS Enterprise Miner?

SAS Enterprise Miner is designed for those who need to analyse increasing volumes of data to identify and solve critical business or research issues – and help others make well-informed decisions. This includes data miners, statisticians, marketing analyst, database marketers, risk analysts, fraud investigators, engineers, scientists and business analysts.

Visual Statistics

SAS Visual Statistics provides an interactive, intuitive, drag-and-drop, web-browser interface for creating descriptive and predictive models on data of any size – rapidly. As an add-on to SAS Visual Analytics, it combines interactive data exploration and discovery with the ability to easily build and adjust huge numbers of predictive models on the fly, with no coding required. The in-memory engine reads data into memory once, putting an end to constant and expensive data shuffling.

With SAS Visual Statistics you can:

Facilitated by Visual Statistics experts, these 90 minute workshops are complimentary allowing you to learn how to interactively create, run and evaluate high-performance analytic models for instant results.

Who should be using Visual Statistics?

SAS Visual Statistics is designed for use by statisticians, data scientists, business analysts and can be used by anyone in the organisation who needs to analyse diverse data and interactively create and evaluate predictive models to quickly get precise insights.

SAS Data Quality

SAS Data Quality is a fast, easy way to manage the entire data quality life cycle: profiling, standardising, matching and monitoring- as well as establishing business rules to make sure that good data stays that way. You can apply data quality to your traditional IT infrastructure as well as Hadoop environments.

With SAS Data Quality you can:

Facilitated by Data Quality experts, these 90 minute workshops are complimentary allowing you to learn first-hand how to improve your data quality today so you can handle important tasks tomorrow.

Who should be using SAS Data Quality?

All information departments with an emphasis on data quality, data stewardship and data management, as well as executive managers who will examine the standardised, corrected data – can benefit from SAS Data Quality.