Machine learning has become a central topic of interest in the media, thanks to its recent successful applications in creating value in a variety of business scenarios. At Clariba, as experts in predictive analytics, we are active agents of its adoption and democratization, since we have been applying ML in our predictive solutions for a long time. When used wisely and with the proper methodology, Machine Learning techniques can offer an increase in performance to businesses and organizations of all types.
Top Management, executives and decision-makers at PUIG, a leading retailer of luxury fragrances and fashion products worldwide, are now using a Clariba developed advanced analytics solution for faster decision-making.
With the comprehensive, mobile solution delivered by Clariba, executives can now analyse clearly defined key performance indicators across all business areas and collaborate in real-time.
SAP Vora is an in-memory computing solution from SAP that allows to develop analytical applications from massive data sources (Big Data) and NoSQL. In this article we will introduce you to its main components and features. Furthermore, we will disclose some initial insights about its performance by using a test case developed at Clariba. Let’s start with a brief introduction.
Helping our customers in their Digital Transformation journey requires us to constantly stay outside of our comfort zone, to make sure we are a step ahead of our competitors while adding value to our customers. Our participation in the Du Tough Mudder race, with a team led by our Global Sales Manager Luca Spinelli, reminded us of key values we try to keep always in mind in whatever we do. Read the full story written by him.
As enterprises still struggle to successfully rollout native mobile applications as outlined by a recent Gartner Survey, large enterprise software vendors like IBM, SAP and others are moving to facilitate better native mobile application development by releasing enterprise software development kits (SDKs) of their own.