Insights & news
If the current pandemic has made one thing clear, it is that organizations must become more agile and must be able to reimagine its business model, while at the same time count on resilient digital business processes and continuously course correct with operational and customer experience insights gained through real-time analytics.
These days “machine learning” is a common phrase across a wide range of industries. The need to manage, analyse and report on large scale datasets is no longer restricted to tech companies - sectors from retail to manufacturing to healthcare rely on data scientists to make sense of the huge volumes of data gathered in the execution of their business, and attempt to use it to plan for the future, optimise processes and predict risks and opportunities.
Choosing the right cloud data platform for your organisation involves a complex assessment of competing features. But for many businesses evaluating the main subscription based options, one of the most important considerations is cost. Transitioning to a cloud based data platform can have significant impact on budgets, especially if spending is difficult to accurately plan for and control.
The term Digital Twin emerged in 2017 as one of the main technological trends according to Gartner consultancy and its results have been demonstrated in multiple areas. This article aims to introduce the concept of Digital Twin technology, reviewing some of its main benefits and presenting a practical example. In order to develop a solution to optimize its warehouse, we co-innovate in collaboration with Frit Ravich, the leading manufacturer and distributor of external brands from well-established companies such as Mars Spain, Nestlé and Ferrero (3,000 references) that serve around 50,000 points of sale every week.
Although we’re primarily an analytics company, at Clariba we like to maintain an up to date awareness of the wider business context in which we operate. Recently, we’ve been looking at the risks around data protection practices and how these can be mitigated using AI. We thought it would prove helpful to our readers to publish our findings, even if the subject matter is something of a departure from our core output.
Many companies have difficulty automating or streamlining workflows which require manual decision making at one or more stages, and the result is often poor efficiency, as processes stall due to human oversight. SAP Cloud Platform Workflow was developed to solve this precise problem - the interface between automation and manual controls.
At Clariba we have many years of experience in the development and maintenance of SAP Design Studio and SAP Lumira dashboards. Early on we recognized the power these solutions have to produce stunning, actionable dashboards for C-level executives at top performing organizations in Europe and the Middle East.
