Data is the lifeblood of the intelligent enterprise. But by transforming themselves to run on data, businesses risk creating a new kind of vulnerability: inaccurate, manipulated or biased data that leads to corrupted business insights and skewed decisions.
The importance of trust in data – Data Veracity – is paramount. It’s the focus for the third trend in Accenture’s 2018 Technology Vision. And it’s the jumping-off point for my next blog in this series showcasing how new SAP solutions and technologies can form an open platform and enable intelligent applications and business processes that run on trusted data.
#TechVision2018 for SAP is out – Learn about @SAP’s essential role in the five #TechTrends we see defining #DigitalBusiness
By building a data intelligence practice using the “new SAP”, and drawing from data science and cybersecurity capabilities, companies can generate more value from their data, increase data quality and help ensure the success of their overall enterprise transformation.
The new SAP Master Data Governance tool, an evolution of the SAP Master Data Management solution, is more flexible and open, guaranteeing data integrity across SAP and non-SAP environments to create an end-to-end data-driven enterprise.
That’s something Accenture is putting into practice. We have already developed 100+ SAP-based applications that harness data and apply intelligence (analytics and AI) to drive enterprise transformation forward.
These applications span multiple areas, from VR/AR to advanced analytics and machine learning, blockchain and IoT. But they have one thing in common: they harness and act on data, all enabled through SAP Leonardo and SAP Cloud Platform, to unlock value and infuse new intelligence everywhere.
Here’s a few examples. First off, Shipping Rate Predictor. We’ve developed this application to combine and analyze shipment data using SAP Cloud Platform, SAP Leonardo IoT, machine learning and advanced analytics. By using an SAP-based data lake (SAP HANA extended by SAP Vora and Hadoop) to support massive data volumes, Shipping Rate Predictor tracks fleets worldwide, shipping routes and port details.
The business benefit? The application forecasts supply and demand and can also predict future shipping rates based on current/past patterns. With that intelligence, companies can be alerted to lay in extra stock against future spikes in demand, for example, or use real-time information to optimize existing processes and select more efficient routes for cargo delivery.
Shipping Rate Predictor is built on data intelligence. So is our Payables Optimizer, an application that uses SAP Cloud Platform and SAP Predictive Analytics (which we co-developed with SAP). Once again, this application uses data to provide companies with actionable recommendations for working capital improvements, cost/discount optimization and process effectiveness.
Armed with new insights and intelligence, Accounts Payable becomes a strategic capability that drives business value. Payables Optimizer proposes the best times to pay suppliers, balancing the risk of penalties for late payment with the opportunity to benefit from early-payment discounts. It also simulates and optimizes working capital impact and improves DPO (days payable outstanding).
Both these applications show what can be achieved with a flexible, open platform that can tap into the data and processes in and outside of the core SAP systems that run many businesses.
Now you can capture the promise of ‘intelligence everywhere’ based on trusted data, enabling new insights, new business models and vastly improving business performance.
Next time, I’ll be looking at the fourth trend in this series, Frictionless Business, and highlighting some of the applications we’ve developed that bring this trend to life. Meanwhile, I’d love to hear your views on this blog, so please get in touch or leave a comment. Thanks for reading.