Insights & news
As experts in data warehousing and analytics we are increasingly faced with requirements where our customers need very advanced “dashboarding”. Their requirement may include the ability to execute transactional activities such as creating a Purchase Order, triggering a data process in a back-end system or providing “always on” multimedia streaming and broadcasting at a large scale and this across multiple devices (Android, iOS, Windows, MacOS, etc).
Let’s see how simple SAP Analytics Cloud is to use in a practical scenario. Our example is the sales department of a multinational firm, using Excel to store extensive sales records. We’ll show how an analyst would use SAP Analytics Cloud to interrogate the dataset and create and share “Stories” - visualisations of key data for a nontechnical audience.
Feature Engineering is a crucial step in the process of building a Machine Learning pipeline, as the features will be used by the algorithm as predictors.
Therefore, it’s advisable to prioritise building and optimizing our features to make sure that we start with a robust data model - which will result in our machine learning model achieving good results.
SAP Analytics Cloud is the top-ranked solution for business intelligence, planning and augmented analytics. It provides pretty much everything you might expect from an analytical platform, with continuous updates adding new features. SAP Analytics Cloud is the top-ranked solution for business intelligence, planning and augmented analytics. It provides pretty much everything you might expect from an analytical platform, with continuous updates adding new features.
When developing Sap Analytics Cloud (SAC) content, you might find that some tasks become a bit repetitive or time-consuming. What’s more, you might struggle a bit to present your information in a coherent and interesting way. Here you have 5 tips to improve your story development skills and reduce the time you spend working on them.
Ghana is a coastal country located in West Africa, bordering the Ivory Coast, Burkina Faso, and Togo. Its excellent geographic location played an essential role in gold trading, which made Ghana to be known as “The Gold Coast”. Today, the agricultural sector is the most representative of the country with 14% of the GNP.
During the implementation of Data Science Projects, we always face cases where we have to decide on the best method of implementation in order for it to be integrated with the pipeline smoothly. The goal is to achieve the most simplistic implementation as the overall design is always complex. We focus on to simplifying our approaches as much as possible so we can keep track of all the steps and modify them easily with minimum implementation/modification time.
