In a world that will be generating 463 exabytes of data daily by 2025-or 212,765,957 DVDs per day-the need for good data analytics and reporting transcends all industries and organizations. Hood says shippers are aware of this, and that’s led to a “heavy emphasis” on connecting supply chain data and analytics in recent years.
For example, with the goal of improving their logistics and supply chain operations, companies are slicing and dicing their data, and then using it to make good decisions. They’re also harnessing the available transaction data that they didn’t capitalize on previously. From their software vendors, companies need tools that can help them turn transactional data into useable information.
By infusing advanced technologies like artificial intelligence (AI) and machine learning (ML) into their platforms, vendors are helping companies further their digital agendas. “Companies can learn from their data and understand the behaviors that drive higher productivity and better efficiencies,” says Joe Vernon, Capgemini’s practice leader of supply chain analytics. “That also links to the use of robots and robotics process automation [RPA], where the data-robot connection feeds better problem solving.”