“To create competitive advantage by enabling end-to-end supply chain visibility.”
In doing so, we develop big-data driven, real-time, supply chain performance monitoring dashboards using high velocity, high volume & wide variety of data that is readily available or sitting in silos and that can be leveraged as a source of competitive advantage over competitors. For instance, Enterprise Resource Planning (ERP) data and data collected through Internet of Things (IoT) devices provide huge opportunities for organizations to create competitive advantage.
Internet of Things (IoT) devices are connected to the internet and can be identified by other devices. Figure below provides Cisco prediction on number of devices that will be connected with internet in near future:
Figure below provides examples of smart IoT devices that can be used to track and count everything to provide valuable data for organizations to completely digitize their supply chain and logistics operations. Specifically, organizations can digitally monitor performance of their products and deliver their products faster than their competitors at lower prices.
For instance, Zara is a data-driven fast fashion retailer that builds its business around RFID which it uses for inventory tracking. Following Zara, many apparel companies have increased their usage of RFID to manage sales, inventory and distribution of their products. However, the vast amount of data produced using RFID create challenges for data management and for effectively utilizing RFID data. In particular, companies use RFID tags at Stock Keeping Unit (SKU) level and use RFID readers at different levels to track inventory of their products throughout their supply chain. Multiple readings taken by RFID readers at different stages in the distribution and inventory management processes often produce redundant information which needs to be stored in big data stores for further analysis. Moreover, semi-structured nature of RFID data makes it difficult to be managed through traditional Relational Data Base Management Systems (RDBMS).
Recent developments through research in big data provide opportunities to effectively manage vast amount and wide variety of supply chain data. For instance, recent developments in managing big data through scalable SQL and NoSQL data stores provide opportunities to effectively manage vast amount and variety of supply chain data through horizontal scaling and schema-flexible data management. In fact, organizations such as Amazon are already using these new technologies to effectively manage their data.
Moreover, new developments in data visualization can be used to integrate diverse and vast amount of data stored in big data stores and to visualize this integrated data in near real-time for effectively managing global supply chains.
Organizations such as Zara, Walmart and Amazon are already using these new technologies to effectively manage their supply chain and logistics operations. Therefore, at Digital, we use our expertise in big data visualization and big data management to provide following services to our customers:
BIG DATA STORE SELECTION : Evaluating and selecting appropriate big data stores to store and manage big data.
DATA SELECTION : Selecting appropriate data to store in big data stores.
TARGET DATA SELECTION : Selecting target data from big data stores.
DATA PREPROCESSING : Preprocessing target data to prepare for transformation.
DATA PREPARATION : Transforming preprocessed data to prepare for data visualization/data mining.
DECISION MAKING DASHBOARD DEVELOPMENT : Developing big data visualization dashboards for interpretation/evaluation to build knowledge and ultimately improve decision making.
Contact us for more information.