Why Does Big Data Matter? #DataTalk





Join our upcoming #DataTalk on Twitter as we discuss big data and how it can be leveraged to benefit businesses and consumers.  Our data tweet chats occur every other Thursday at 5 p.m. ET and hosted by our @ExperianDataLab.

This week, we’re excited to chat with Dr. Michael Wu, the Chief Scientist at Lithium, where he applies data-driven methodologies to investigate the complex dynamics of the social web. Michael works with big data and has developed many predictive and prescriptive social analytics with actionable insights. His R&D won him the recognition as a 2010 Influential Leader by CRM Magazine.

Here are details about our next event:

TOPIC: What is a Data Scientist

WHEN: Thursday, April 23, 2015 at 5 p.m. ET

Easy ways to chat with us on Twitter: Twubs or Tchat

If you have questions or suggestions for future topics and guests, please tweet @MikeDelgado.

Upcoming Twitter Chats:

May 7: Trends in Big Data & Challenges

May 21: Predictive Data Analytics to Help Your Customers

June 4: Big Data for Good

June 18: Improving Customer Experiences with Big Data

July 2: Big Data + Fraud

Past Chats:

Highlights from Past Tweet Chats:

Without data, decisions are opinions rather than facts. As engineers, we want to make decisions based on fact. [Retweet]

withoutdata-lil

Instincts aren’t scalable, data science is. [Retweet]

instincts-lil

You need to be careful when using data. Garbage in, garbage out. Big data sets always have some problems or bias in them. [Retweet]

Statistics and machine learning will give you the mathematically correct answer, but that will not be useful if you did not set up your problem correctly. [Retweet]

Data analysis is in its infancy. There is a huge amount that can be done in terms of analysis methodology, sensor software and the measurements we can do vs. what we will be able to do. [Retweet]

Data science and machine learning are very active research areas – and advances in technology are allowing the collection of ever larger data sets. [Retweet]

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