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This is a practical session which looks at the different SAS information delivery tools and relates them to their strengths in relation to different types of information creators and consumers.  Help understand the options and how to make the best choices, and use the tools that you have available.

Audience: 
Anyone who needs to know more about getting the best out of their SAS technology and improving their information delivery.

This seminar aims to provide you with the confidence to introduce and manage your data governance programme with step by step practical solutions for all types and sizes of organisations.

Audience: 
Information managers, data governance professionals, data strategy delivery leads – anyone responsible for managing organisational risk around data, building organisational capability and safe reuse of data

This seminar aims to provide you with the confidence to introduce and manage your data governance programme with step by step practical solutions for all types and sizes of organisations.

Audience: 
Information managers, data governance professionals, data strategy delivery leads – anyone responsible for managing organisational risk around data, building organisational capability and safe reuse of data

Explore the 20 or more different ways to interface SAS and Excel, either to read Excel data into SAS or to produce or update Excel spreadsheets from SAS.  Make sure you know the best and latest ways to integrate SAS and Excel to get the right results and save you time.  Get an overview of all the main techniques, their pros and cons, and see them in action.

Audience: 
SAS users of any level who currently use or wish to use Excel in combination with SAS, or whom have end users with Excel skills.

Explore the 20 or more different ways to interface SAS and Excel, either to read Excel data into SAS or to produce or update Excel spreadsheets from SAS.  Make sure you know the best and latest ways to integrate SAS and Excel to get the right results and save you time.  Get an overview of all the main techniques, their pros and cons, and see them in action.

Audience: 
SAS users of any level who currently use or wish to use Excel in combination with SAS, or whom have end users with Excel skills.

This more technically orientated seminar provides a comprehensive overview of the ways you can schedule SAS work to run. The seminar covers:

• Standard SAS jobs, SAS Enterprise Guide projects, SAS Visual Analytics data queries and SAS Visual Analytics report distribution
• Administration set-up, as well as actual scheduling of jobs from the SAS user perspective
• Different approaches for scheduling – centralised using defined administrators versus distributed
• Real examples in action

Audience: 
SAS administrators or SAS users

This more technically orientated seminar ensures you are aware of all the main ways to load data into SAS Visual Analytics, their pros and cons, and how to use them

• it covers VA Administrator import, user import, auto-load, VA data builder, Enterprise Guide, Data Integration Studio and the full flexibility of using SAS code
• and includes table design guidelines for effective use in SAS VA

Audience: 
SAS administrators, data integration developers and anyone preparing data for use in SAS VA

Best Practice for SAS Analysts and Developers (2 half-day workshops)

Ensure your analysts and developers:

• work in the most productive, effective and efficient ways
• produce correct and consistent results
• meet the needs and goals of their customers for improved satisfaction

There are 2 different workshop sessions – Technical and Non-Technical

The Non-Technical session covers common issues; work lifecycle (including Agile) from work requests to delivery of results; communications and data management overview

The Technical session is for SAS users and covers data and information management in more detail, understanding “under the covers”, efficiency and effectiveness tips and documentation

Audience: 
Quantitative and qualitative analysts, Business analysts, Developers creating BI or analytical systems, Managers and Project Managers.