Date: 4th April 2018
Location: Wellington
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
Date: 6th December 2017
Location: Wellington
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
Date: 30th November 2012
Location: Wellington
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.
Date: 17th August 2017
Location: Wellington
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.
Date: 24th August 2017
Location: Wellington
This more technically orientated seminar provides a comprehensive overview of the ways you can schedule SAS work to run. The seminar covers:
Audience:
SAS administrators or SAS users
Date: 27th July 2017
Location: Wellington
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
Audience:
SAS administrators, data integration developers and anyone preparing data for use in SAS VA
Date: 20th June 2017
Location: Wellington
Best Practice for SAS Analysts and Developers (2 half-day workshops)
Ensure your analysts and developers:
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.
Date: 11th May 2017
Location: Wellington
This years conference was held at the Michael Fowler Centre
111 Wakefield Street in Wellington. It was a really great opportunity to talk to your peers, make new contacts and catch up on the latest news.
Here is the official SUNZ 2017 website
Knoware again supported the AS community NZ wide by participating as both as a sponsor and speaker and with members of our team. If you have any questions about SUNZ then please either call SAS NZ or give us a call at Knoware
Date: 21st March 2018
Location: Wellington
This half day seminar will introduce you to the power of data-driven design and communications. The workshop is for anyone working with data, with a need to increase insights, share knowledge or engage the public. Relevant for both government and commercial organisations.
Audience:
Anyone who needs to have a greater understanding of data visualisations, infographics and animation and how to use these to add value to analytics.
Structured data is usually stored in a database, in labeled information fields and is easily searched for using a query i.e. a customer information system in which you can search by customer name or number.
Unstructured data may have a structure such as an email, but the information contained in the email has no structure, and is difficult to find unless there is a method for indexing and storing this information.
Examples of “unstructured data” are:
Be aware of the relevant NZ and international standards
Relevant international standards are to be found at:
New Zealand standards are:
We have worked on developing and using the ISO standards.
Our team has presented papers on this subject for example at the International Council on Archives Congress and the NZ Computer Society.
We work with NZ Archives and understand the direction that government is heading towards.
Our analytics and data mining specialists are experienced in helping organisations find answers using tools and techniques for both unstructured and structured information.