Infrequently updated, hard-to-read reports were challenging to work with.
Here are some insightful blog posts from the BlueGranite team.
A global glass manufacturer’s goods keep customers comfortable and safe. The company is as devoted to safety as it is to creating pioneering, energy-efficient products that are industrially tough and aesthetically pleasing. With locations and clients across the planet, the U.S.-based builder’s products are found everywhere – in cars, trucks, homes and skyscrapers. The company delivers its products on time and on budget. When it recently faced the challenge of getting important data to its various worldwide plants in a timely manner, it reached out to BlueGranite, a trusted partner, for help.
Knowing your buyer can be a challenge for any business, but it’s essential to success. A global manufacturer of building materials sought to discover the details of its ultimate customers. Because it sells to big box stores, who in turn sell to builders and contractors large and small, the manufacturer faced an uphill battle collecting that data. It wasn’t just names and contact info the company wanted access to. Leaders here also wanted to understand contractors’ buying preferences.
Cutting down on waste means cutting costs, no matter what size the business. But first a manufacturer must figure out what it's scrapping and why. As part of a major effort to optimize its manufacturing process, an international automotive parts supplier decided to undertake that challenge. They enlisted BlueGranite’s help. We helped them delve into the Internet of Things (IoT) – the data embedded in the company’s manufacturing equipment – for solutions.
What would it mean to your organization if you could predict system failures or quality issues before they happen? Preventing failures can help your organization reduce unscheduled downtime, waste, and rework – and avoid costly disruptions in operations.
With predictive analytics, it’s possible to proactively manage maintenance and improve operational efficiency by discovering the chance of a failure before it takes place. In this past webinar, we discussed how you can utilize Azure Machine Learning, R, and the Cortana Intelligence Suite to predict and prevent system failure, and explored the benefits of calculating KPIs such as Remaining Useful Life, Time to Failure, and Failure within a certain time.