This post is the second in a series on data preparation based on a webinar about its role in the analytical life cycle. The first discussed how data preparation fit into the analytical life cycle. This post considers some trends in data preparation and some of the structures and processes
What is Data Preparation and why does it matter? Data preparation is all the tasks involved in collecting, processing, and cleansing data for use in analytics and business intelligence. It therefore includes accessing, loading, structuring, purging, unifying (joining), adjusting data types, checking fields to see that only valid values are
Data science is hot. Being a data scientist has been described as one of the world’s sexiest careers – though that may say more about the people coining the description than data science – and data scientists are both in high demand and increasingly well-paid. It is, in fact, highly
May 4 – Star Wars Day – has come and gone again, but as always, offered a chance to have some fun with data and analytics. Mary Osborne used text analytics to show Luke Skywalker’s emotional journey across the movies, from young and idealistic to older and more jaded, but
Ivor Moan explains how SAS Data Management software can help you address GDPR requirements.
In an era long gone by (actually not so long ago) we all interacted with computers via terminals to a mainframe or minicomputer systems. Sometimes, you had to book a slot for when you could access and exploit computer resources. The user was subject to interrupted connections or very poor