Organisations will be able to turn their transactional business data into actionable insight, according to SAP, on the launch of its new Data Network.
SAP Data Network services will enable executives to benchmark, plan, predict and simulate business scenarios using anonymised and aggregated data.
“Our services enable customers to unlock the value in their own data — whether it’s top-line growth or bottom-line improvement,” said Helen Arnold, president, SAP Data Network. “Drawing on the power of SAP HANA and our team of highly skilled data scientists, we harness the transformative power of connected data.”
Using machine learning and natural language processing to normalise and enrich data, the products will deliver predictive modelling and simulation capabilities coupled with recommendation engines embedded into business processes.
“Not all data is created equal. We place highest value on real-time transactional data and trusted supplemental third-party data,” said Arnold. “Business value is rapidly realised through a standardized process that begins with three days of ideation. A prototype is then developed in four weeks, and a company can begin to reap the benefits in nearly three months. Thus, customers can test desirability, viability and feasibility of data-driven services in weeks, as we fuel their agile innovation.”
SAP’s first reference customer for the service comes from the industrial sector. Urban mobility provider Schindler worked with the SAP Data Network organisation on an insights service that could share contextual information from non-SAP data sources and SAP software in real time, connecting all the parties involved in the company’s elevator installation process. This provided full traceability of all relevant elevator data and an end-to-end digital trail of the installation process.
“Innovation with data at the core has changed our perspective — it makes us more competitive and creates new opportunities,” said Nilesh Mhatre, CIO Americas, Schindler Elevator Corporation (US). “The insights service provides us relevant data to sustainably improve our installation process and shorten installation time.”