Analytics and huge volumes of information have played a significant role in robot development.

Big data is a big deal today. Even small companies are seeing the benefits of gathering and analyzing the staggering amounts of information that are streaming in from all kinds of online sources.

Customer experience is not a new phrase. It has been around for many years. So what makes today any different? Today is different because we have big fish that visibly stand on the platform of customer experience making profits too big to ignore. For example from the beginning Amazon has focused on customer experience.

What is Prescriptive Analytics?

Prescriptive analytics optimizes decision making to show companies what actions to take in order to maximize profitable growth, given their business constraints and key objectives. The most advanced in the spectrum of business analytics, prescriptive analytics is able to make the most impact on large scale business objectives, e.g., increasing profit, decreasing COGS, increasing service levels and improving decision-making agility.

The two-minute guide to understanding and selecting the right Descriptive, Predictive, and Prescriptive Analytics

With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making.

Companies that are attempting to optimize their S&OP efforts need capabilities to analyze historical data, forecast what might happen in the future.

How would you rate your live event performance?
On the surface, your conference is buzzing and things appear positive. Attendees are messaging each other, setting up meetings, breezing through serpentine registration lines, paying for drinks with their RFID badges.

There are a lot of buzzwords thrown around in the customer sphere, but two of the big ones relate to experiences—customer and user. Although CX and UX are different and unique, they must work together for a company to have success.

User experience deals with customers’ interaction with a product, website, or app. It is measured in things like abandonment rate, error rate, and clicks to completion. Essentially, if a product or technology is difficult to use or navigate, it has a poor user experience.

Want to see customer experience in action? Just go on vacation. There’s no better time to see customer experience firsthand from a number of companies when you’re in a situation that isn’t as comfortable as being at home. However,  it can also highlight outdated technology and bad practices.

On a recent ski trip to Tahoe, I had a string of poor customer experiences, and almost every one of them was related to outdated technology and poor systems.

The Internet of Things (IoT) is generating countless numbers of interactions between devices every day—in all kinds of different ways. But the consequences of these interactions aren’t about the Internet or the things at all. What IoT is all about is data.

The lifecycle of an IoT device is to collect data, execute some local processing of data, transmit data, possibly receive data, store data, and dispose of data. Along the way, the data needs to be protected from unauthorized access and comply with regulations. The data for each device must be combined with that of other devices.