By: Joyce Durst, WPO Member
On the GAP blog, we cover a lot of topics related to big data, machine learning, and analytics.
But there’s an underlying assumption we make when talking about these topics: that your data is important. It is the lifeblood of your company, so data quality matters.
In this blog post, we explore the importance of data quality. We look at why you should pay attention to the quality of your data, the attributes of having good data and some steps that will help ensure you attain high levels of data quality.
The Data Economy
Some of the most valuable companies in the world today such as Amazon, Apple and Microsoft, sell vastly different types of products and services, but they do all have one very interesting thing in common – they convince users to part with their data in exchange for free services.
More than ever, the quantity of data being generated each second in the enterprise is a driving force for businesses that want to unearth market insights in order to gain a competitive edge. Additionally, the exponential growth of user-generated content, such as social media, encourages this push even more forcefully.
Read more here.
