Big data is one of the most talked-about technology trends of the past decade. However, the catalyst for big data occurred in the 1960s. A 1967 paper by B.A Marron and P.A.D de Maine, entitled 'Automatic data compression’, discussed the growing amount of data that the world was producing – referred to as the “information explosion”.
In the paper, the authors imagined the potential of an automatic processor that could collect and store valuable pieces of information for its users – technology that we now experience in almost every part of our lives.
With an increasing amount of data being generated every day, businesses are keen to reap the rewards of its insights. Much of the hype surrounding big data is driven by the potential to gain actionable knowledge that can improve factory productivity, reduce production costs or minimise waste. However, before businesses can reap the rewards of this information, they need to decide on the best method to collect data.
Most modern manufacturers are familiar with the role of supervisory control and data acquisition (SCADA) software in a manufacturing facility. However, not all manufacturers understand how SCADA systems can assist in managing big data.
Unlike traditional SCADA, modern applications are adopting technologies to prepare manufacturers for the era of Industry 4.0. By incorporating Internet of Things (IoT) technologies, such as cloud storage and predictive analytics, modern SCADA software can manage much more complicated datasets than traditional systems.
What is more, we are now seeing an increase in independent SCADA software solutions – platforms that are not designed or created specifically for use with one type of hardware. The benefits of intelligent SCADA software cannot be experienced simply by collecting production data, but applying that data by implementing real changes to the factory floor, according to this new-found insight.