Organisations can gain significant competitive advantage if they are able to optimise their businesses by making strategic use of their big data (from POS to pricing, inventory to social media) – and as a result perform predictive analytics about products, pricing, demographics and geographies as well as carry out highly effective personalised, contextual marketing campaigns.
New retail data challenges
Data needs of manufacturers
Digital transformation is also driving change in manufacturing. Every day companies process, compile and manage huge sets of data. Data generated from operational sources throughout the supply chain as well as automated machinery actuators and sensors connected through a network provides the key to improving processes – and delivering optimal means of production.
Companies that are able to harness this data and use it to forecast future outputs, identify and track defects and optimise production have a significant competitive advantage. Data virtualization helps by exposing this data, real-time, in a standard format and making it easily accessible for business users to analyse – and as a result – take corrective or strategic action.
How HiperFabric can help
HiperFabric makes it possible to integrate IoT Big Data with other sources and standardize it ready for analytics, without the need for data warehousing.
Inventory management benefits greatly from data virtualization by bringing together stages in the supply chain. Individual stages may be managed by your own IT systems – so getting an overall view is difficult. HiperFabric gives this insight.
Social media aggregation
Social media plays an increasingly important role in retail. HiperFabric brings together different sources of streaming social data in a standard format, ready for BI analytics.