How can efficiency be improved through understanding – reducing costs and increasing revenues and using data to improve the bottom line and ultimately create value?

Big Data Recorded and Mapped

Another timeline, this one specifically on the origins of the Big Data concept. Check the link below.
Click here. (Links to an external site.)

Note the very interesting framing of the origins of the term around storage capacity, capacity, and some quite fatalistic concerns over speed and computational finity.

Businesses need to consider the following:

• How do the data they capture and the algorithms used, develop and increase the intelligence of organisations?

• Is it possible to go from return on investment to intelligence acquisition as a measure of effectiveness and efficiency?

• How can efficiency be improved through understanding – reducing costs and increasing revenues and using data to improve the bottom line and ultimately create value?

• What processes can we use to turn our information into useful insights, and how do these processes influence decision-making within a business or organisation?