Technology revolution has made a significant impact in all industries around the world, as years go by, MagicLog established as a mission to be aware and up to date in trend technologies making our main goal to provide tools to our customers that help them have a complete End-to-end visualization, optimize operation time, have an accurate control of vendors and providers, generate savings and reduce operational costs.
One of the tools that has gained popularity specifically in the logistics industry is Data Analytics. Due to the dynamic nature of logistics, Big Data becomes one of the strongest and most reliable allies since it has changed the orthodox perception in which information is generated and analyzed. The high-quality information required to function effectively provides a huge selection of data sources that include proper planning, efficient transportation system and performance management, which is of incredibly great importance for companies specialized in cargo shipping.
Information is a fundamental key in order to understand the forecast performance using advanced tools and techniques to analyze millions of data points; being able to share this information within your company and with your partners through the most advanced technology will certainly optimize and increase your company’s profits. Connecting the supply chain from End-to-End, building cross-functional data transparency and investing in the right capabilities to develop their own methodologies to put big data into a strategic business context. Having timely and accurate data will improve the efficiency rate in all the areas of a company, mainstreaming communication channels for a better collaboration with your partners as well as enhancing the supply chain so customers are satisfied with the service that is being provided.
Data Analytics has also allowed the concept of “Control Towers” to thrive and spread quickly across companies around the world. Thanks to the information gathered through these real time analytics, control towers become a hub for decision-making, visibility and action that allows to keep things under control, reduce and predict potential risks and the ability to better manage orders while speeding up the supply chain, measure the performance of your key actors (suppliers, logistics providers, internal processes) and maintaining a high standard of quality and transparency.
The insights that a company can get through predictive analytics is being considered more and more as one of the main pillars for innovation and productivity for the benefit of logistics and shipping companies alike. But what are the big data’s main attributes that are needed to make it work effectively and take advantage of its full potential? Several major companies have been using these analytics for quite a while, and they have given important contributions which have caused Big Data to evolve. IBM, one of the most sophisticated and experienced companies in the field has defined four of these attributes: