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 big data tweet chats occur every other Thursday at 5 p.m. ET and hosted by our @ExperianDataLab.

Here are details about our next event:

TOPIC: Why Does Big Data Matter?

WHEN: Thursday, April 9, 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 @Mike Delgado.

Upcoming Twitter Chats:

April 23: Data Scientists: What They Do

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

Highlights from Past Tweet Chats:

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


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


Analyzing data helps us maximize our own performance, it also helps us understand what are competitors are doing and if they are doing it better than us. [Retweet]

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

Decisions based on data will often make things more fair than when based on an individual’s intuition. [Retweet]

If you understand the data, you can go on to change things to your advantage. [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]

In the past, people made credit decisions based on intuition – now they are based on data. [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]

  1. No comments yet.

  1. No trackbacks yet.