While businesses across numerous industries are in a rush to adopt and deploy data analytics, these investments can actually hurt a company’s efficiency and profitability if this analytics plan is poorly designed or inconsistently executed. These may seem like obvious problems to avoid, but the complexity inherent to performing analytics effectively leads companies to push
Imagine you are on your couch watching your favorite TV show when a car commercial appears spouting praises and accolades how superior innovation makes them number one in their industry. Now, when you hear the word innovation, what comes to mind? In my younger days, I thought of flying cars, robots cutting the grass for
Accurate, timely, and useful data can mean the difference between poor and world-class manufacturing. The difference between satisfied customers and complaints. To ensure data-project success, companies must plan data use requirements. It is vital to understand the context in which data will be consumed throughout the facility and upward through the business. A company’s manufacturing
During any given year, most any manufacturer’s experiences times when the production orders aren’t flying in and the plant feels the slowdown both physically and financially. It is during these times that those operational issues previously considered “minor” come to the forefront and are no longer considered “minor” because every widget or case or other
Replacing “thick” clients, such as a PC, can demand a high initial investment. Once set up, they can pay for themselves in a short period of time with many advantages that PC’s simply can’t provide. Most standard computing configurations include both software and hardware integrated into a standalone system. In an industrial setting, this computer
Organizations across a multitude of industries, including energy, life sciences, transportation and consumer manufacturing are alike in that they now face pressure to wrap their heads around data. In fact, expert business consultants like Scott Schlesinger, vice-president Capgemini North America, have emphasized that those companies that put off mastering their data operations put themselves at
The unique and highly lucrative insights associated with advanced analytics has pushed big data into the spotlight for numerous industries where managing supply chains and complex business processes dominate daily operations. But simply expanding an organization’s data monitoring strategies is no longer sufficient. Businesses must acquire the tools necessary to efficiently analyze and present relevant