Is your data clean? A.k.a What does bad data mean to your business?
11 Oct 2018
Big Data & Analytics Keynote Theatre
According to Gartner research, the average financial impact of poor data quality on organizations is $9.7 million per year. In another HBR review, $3.1 trillion is IBM’s estimate of the yearly cost of poor quality data, in the US alone, in 2016! As part of this session, we’ll look at exploring what is the cost of bad data to businesses, why is data quality important and how do we go about improving the quality of data in our firms.
"We are impressed with the sheer volume of crowd visiting our booth. We’ve had very good interactions with the delegates and alliance partners."
Marketing Director, TIBCO Software
"We’ve met a good mix of new prospects and existing customers over the two days. There were many relevant questions posed by the delegates, attesting to the immense interest the show has generated for us leading up to the show."
Marketing – South East Asia and India, Splunk
"The conversations in the big data community around machine learning is a lot more mature here. Not only the delegates are interested in big data, they are also keen to learn more about data science, artificial intelligence and internet of things."
Regional Sales Director, Qubole Inc.
"I’m amazed with the diversity of vendors from data centre, big data, data integrators and cloud solution providers. There’s something here for almost anybody from the technology world. The most valuable takeaway for me is the opportunity to meet with our technology partners, alliance partners as well as our prospect and existing customers.!