The 3 Types of Sales Data Your Organization Needs
The average sales organization uses 10 sales tools and counting. But having lots of technology doesn’t always mean having lots of insight. While they may
The average sales organization uses 10 sales tools and counting. But having lots of technology doesn’t always mean having lots of insight. While they may
Since the beginning of the year, there has been a significant uptick across health plans, healthcare providers, and analytics firms utilizing AI to change how
Let the dollar signs speak for themselves: Leaders industry-wide are embracing digital transformation as a disruptive force that can’t be ignored. In fact,a recent study
By the end of 2019, worldwide spending on digital transformation will reach US$1.7 trillion. That’s a 42% increase from 2017, according to IDC Futurescape: Worldwide
In the era of the Internet of Things, a Big Data analysis process is a much-needed necessity. “Big Data” means having a bulk of data
When properly designed and implemented, performance management techniques and processes enable an organisation to monitor, manage and improve strategy execution and the delivery of results.
What does the future of mobility hold for European carmakers? We see a new value chain emerging, shaped by regulations, consumer attitudes, and the pace
Data is at the heart of what credit bureaus like Equifax, Experian, and TransUnion do. They have access to some of the most important consumer
Big data is precisely what it sounds like – massive data. To contextualize it, businesses can understand big data as terabytes (or even petabytes of
It’s been said that debugging is harder than programming. If we, as data scientists, are developing models (“programming”) at the limits of our understanding, then
Analytics are now being used to predict the relative likelihood of different loss-producing events at a location. When it comes to risk management, CFOs are
Of the three Vs of big data—volume, velocity, and variety—volume is the biggest, literally. Processing large volumes is a signature characteristic of big data analytics;