For a number of years, big data has been a top five trending topic in the transport and logistics sector. During the largest international logistics trade fair earlier this year, data was described as the new gold by various LSPs. More data and information is created than ever before. With the rise of the IoT (Internet of Things), this will not stop for the time being.
The investment in big data, amongst others,, has increased significantly among logistics service providers. Research carried out by ING has shown that the transport and logistics industry is, when it comes to data, at the forefront compared to other industries. But how do you measure data quality, integrity and reliability? Research conducted by LSS in 2015 revealed that more than two thirds of logistics service providers could not guarantee the quality of their data. More recent research confirms that these figures have not improved much.
Many years ago, Gartner – a research firm – came up with the definition of Master Data Management (MDM). Supporting business processes through a number of processes that provide a clear and reliable overview of data. Part of MDM is data governance, a balance between humans, processes and technology that ensures reliability. Unfortunately, research shows that the majority of organizations give insufficient attention to the human and process aspects.
The LSS team has more than 25 years of experience in logistics services. The availability of accurate data is a spearhead during the development of LSS cloud-based solutions for logistics service providers. A system can be ever so smart, but when the input contains incorrect data, the output cannot be correct. In addition to the smart iSuite, we recommend using the internal guidelines for useful and secure data. For more information, call +31 (0) 88 1050300, or e-mail firstname.lastname@example.org.