What's your smart use of data?

William McKnight

What's your smart use of data?

What are some smart uses of data you are using or have heard about? Have there been any business possibilities created through using data in ways that weren't possible a few years ago, but now are due to how data is managed?

Nina Barzgaran, M.A.

RE: What's your smart use of data?
(in response to William McKnight)

I am documenting the software we develop for making data even smarter: large amounts of data especially in an enterprise environment are created every day. 

Using data in a smart way basically means to me: knowledge graphs, linked data, power tagging and machine learning.

Technical Writer

Vienna, Austria

William McKnight

RE: What's your smart use of data?
(in response to Nina Barzgaran, M.A.)

Nice.

Jose Mari Taleno

RE: What's your smart use of data?
(in response to William McKnight)

So far my smart use of data is when we give data fast (just in time) to smart people, then the data becomes smart.

larson reever, Website security advisor

RE: What's your smart use of data?
(in response to William McKnight)


When you think of big data, you usually think of applications related to banking, healthcare analytics, or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. While data science is a relatively new field, more and more industries are jumping on the data gold rush such as security services, hospitality and ecommerce.

We smartly make use of data to do forensic analysis of web vulnerabilities and finding out ways to make internet a secure place. We actively use big data at backend while creating new generation sec tools and scanners.

Thanks

Website security advisor @WP Hacked Help

Michelle Knight

RE: What's your smart use of data?
(in response to William McKnight)

DATAVERSITY has just released a Sutton Bank case study. The company identified a technology shift requiring an assessment on where and how to improve insights. Sutton identified three areas.

  • Increasing the speed at which new client data was added to the system
  • Improved fraud reporting and regulatory compliance
  • Greater flexibility and expanded choices for data end-users