The amount of data created by equipment, systems and devices has exploded in recent years. As this data velocity has risen, companies must be able to get the right data, understand it and help solve specific problems and address specific issues.
The data, however, can be very hard to organize and use across different applications because it is stored in many different formats, has inconsistent naming conventions and very limited data descriptors. Data lacks information to describe what it means. Without meaning, a time-consuming manual effort is required before analysis and value-creation of the data can begin. Without proper analytics, this data is not useful. Many companies struggle with data, despite their best efforts, because data is very hard to organize and use across different applications.