Self-driving cars, lifelike robots, and autonomous delivery drones are the sexy, headline-grabbing face of the digital transformation that we see all around us today.
None of these would be possible, though, without data – the oil of the fourth industrial revolution – and the analytic technology we’ve built to allow us to interpret and understand it.
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality. Full Article
Last year took disruption to a new level. It's not necessarily news that enterprises are disrupting and modernizing their data analytics strategies, adopting technology and tools that enable them to harness data from a growing number of data sources and glean actionable insights. Now add to the mix a global pandemic -- the ultimate disruption. As companies try to adapt, the demand for data and insights has increased at warp speed.
Now more than ever, stakeholders need to know what is happening in a business operationally, how the business is performing, and how events are affecting the level of customer service. Access to quality data analytics can help ensure that an enterprise stays strong during -- and after -- COVID-19. After the uncertainty and seismic market shifts of 2020, how do data and analytics leaders even begin to prepare for 2021? Here are the three trends they should focus on as we begin the new year. Full Article