Big Data

A new paradigm is needed – one which brings all factors into play, and which enables a proactive approach to solving inventory problems before they occur.

Traditional inventory systems have always focused on improving forecasting, while the forecast is only a small part of the overall inventory management problem, most of the issues occur at the retail store shelf, which aren’t included in forecasts.

By developing methods for analyzing textual data that optimize social science goals directly, we are able to considerably outperform standard computer science methods developed for a different purpose.

Turns out, what Data Scientists do is really hard - so if you're looking for one of the highest paid professions, data science is hard to beat.

Considering the growing number of use cases relevant to your enterprise, what has changed is that these are no longer confined to legacy data-driven functions such as marketing or finance.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.

If you drive a car then you know what a dashboard is. There are two main gauges that we are all very familiar with - the speedometer and the fuel gauge. The other gauges we don’t usually take much notice of.

Learn why there is a new sense of urgency to implement Industrial Internet solutions fueled by Big Data analytics.

Manufacturing companies and third-party logistics providers are facing the most complex and volatile business environment in their history.

For mid-size and fast growing companies, keeping track of cash position and cash flow in a meaningful way is difficult!

Go beyond canned KPI’s and pre-built analytics and understand your business the way that makes the most sense to you.

This report captures the highlights of quantitative research conducted by Supply Chain Insights during 2014, with the goal to distill research from 2014 into snippets and into a consolidated research summary.

Savvy, global shippers that capture and analyze transactional transportation management data in collaboration with their third-party service providers have seen hard dollar savings drop to the bottom line. Here’s how they’re getting it done.

The sustained success of Internet powerhouses such as Amazon, Google, Facebook, and eBay provides evidence of a fourth production factor in today’s hyper-connected world. Besides resources, labor, and capital, there’s no doubt that information has become an essential element of competitive differentiation.

So the promise of using statistical algorithms, forecasting and predictive analytics is now added to the list of a company’s number one priorities. There is a sense of urgency surrounding this new high profile initiative. One may ask, “What’s next?” Well, here are a few steps that you will need to take to deploy your forecasts successfully.