course overview
Overview
In this two-day instructor-led course you will learn about cleansing and standardising address data and non-address data such as names and phone numbers, and matching and consolidating records. You will also learn how to parse data from unstructured text such as emails to provide useful and reportable data.
As a business benefit, by being able to create efficient data quality projects, you can use the transformed data to help improve operational and supply chain efficiencies, enhance customer relationships, create new revenue opportunities, and optimise return on investment from enterprise applications.
This course is based on software release:
Audience
Skills Gained
This course will prepare you to:
Prerequisites
Essential
Recommended
The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
Outline
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.
All $ prices are in USD unless it’s a NZ or AU date
SPVC = Self Paced Virtual Class
LVC = Live Virtual Class
Our clients have included prestigious national organisations such as Oxford University Press, multi-national private corporations such as JP Morgan and HSBC, as well as public sector institutions such as the Department of Defence and the Department of Health.
