November 2015 Posts

How to Get Started with Quality Analytics

How to Get Started with Quality Analytics

Matthew Littlefield, President & Principal Analyst, LNS Research

There is a lot of hype when it comes to Industrial Internet of Things (IIoT) and Big Data Analytics. Many executives today see the mainstream media marketing campaigns being run by companies like IBM with Watson winning Jeopardy and are instantly interested in seeing how such a tool might be able to solve their business problems.

Although there is undisputed business value in using Big Data Analytics to enable predictive and prescriptive analytics, LNS Research sees most industrial companies are just at the earliest stages of adopting these technologies as part of IIoT pilot projects. For most companies, there is still much work to be done in gaining insights from the data already locked up in their enterprise systems.

In this post we will examine how quality executives can start getting value from the data they already have with an eye to the future, making sure the investments made today will pay dividends in a fully mature IIoT world. (more…)

Supplier Quality Tools – How the Right Technology Improves Supplier Quality Management

Supplier Quality Tools – How the Right Technology Improves Supplier Quality Management

Matthew Littlefield, President & Principal Analyst, LNS Research

This article is part 2 of a 2-part supplier quality management series. The first article can be found here.

As was stated in the last blog post of this series, challenges to life sciences organizations are substantial, and poised to grow as time moves on. From one direction, life sciences companies are facing stiff competition within industry, which is putting pressures on speed of delivery and quality expectations. From another direction, the industry is battling with the tightening grip of government regulations, which is demanding higher proof of documentation and specification, with increased (and potentially devastating) penalties for noncompliance. Moreover, the industry itself, in large part as a response to these pressures, is rapidly transitioning to a distributed model of production to improve efficiencies across the product development lifecycle. (more…)