The amount of data being generated in our society today is mind bending.
In 2010, Google CEO Eric Schmidt famously put this in perspective:
"Every two days now we create as much information as we did from the dawn of civilization up until 2003"
That was in 2010!
In 2010, Google CEO Eric Schmidt famously put this in perspective:
"Every two days now we create as much information as we did from the dawn of civilization up until 2003"
That was in 2010!
How far have we come in the last 10 years? In the last two years alone, astonishingly 90% of the world’s #data has been created (Source: IORG).
IDC forecasts that there will be a 10 fold increase in the amount of data on the planet by 2025.
IDC forecasts that there will be a 10 fold increase in the amount of data on the planet by 2025.
Data is now considered to be one of the most valuable assets on the planet. This shouldn't come as a surprise as you think about the millions of use cases in which data is being used strategically by organizations today.
Number of use cases is endless and incredibly impactful. UPS feeds data into its ORION platform 2 determine most efficient routes for drivers. In US, UPS estimates that system will reduce number of miles its vehicles travel per year by 100 million, saving > than $300M annually
Ability to harness data is competitive differentiator.Research found investing in data analytics has productivity gains of 6 to 8% - returns doubling their investment within a decade. higher return than other recent tech has yielded, surpassing! computer investment cycle in 80s
McKinsey in their 2016 Age of Analytics study found most companies capturr only a fraction of the potential value from data and analytics.
If there is so much opportunity and proven success stories in the area of data analytics, why has value capture of it proven elusive?
If there is so much opportunity and proven success stories in the area of data analytics, why has value capture of it proven elusive?
Human capital is one of biggest barriers standing in way of realizing full potential of data analytics.major shortage of necessary data scientist talent m to derive insights. demand for data scientists is exceeding the availability of people to fill this crucial role within org's
In McKinsey study approx half of executives surveyed reported greater difficulty recruiting analytical talent than filling any other kind of role. 40% say retention is also an issue.
What if co's enabled more knowledge workers to become data scientists lite thru #tech? This is where $ayx comes in. They provide platform for anyone in an org with curiosity to build analytical models that help them make better decisions to drive #DigitalTransformation
