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CAMELOT Consulting Group
SAP Analytics Cloud is an SAP solution that drives agile decisions with integrated planning and analysis as part of the SAP Business Technology Platform. In this blog, you will find first-hand insights, guidance, and lots of helpful information about the use of SAP Analytics Cloud shared by our SAP analytics experts.
For Camelot’s Public Holidays Data Product, we developed a use case that demonstrates the practical benefits of incorporating public holidays …
read moreData integrity is a major concern for data quality initiatives. In SAP Analytics Cloud (SAC), it can be achieved with validation …
read morePower BI is a powerful business intelligence tool that offers numerous benefits and capabilities, making it an asset for any organization. …
read moreSAP Datasphere empowers organizations to harness the full potential of their data by providing a secure, scalable, and intuitive platform for …
read moreA tabletop soccer serves as a showcase for demonstrating the capabilities of SAP Data Intelligence, SAP Warehouse Cloud and SAP Analytics …
read moreTo make the investments in the direction of a data-driven company worthwhile, many CIOs and data managers are currently faced with …
read moreIntegration of cloud strategy for enterprise reporting can bring IT and business together in a best course. Learn more about enterprise …
read moreWith the SAP Data Warehouse Cloud (DWC) and a “cloud-first” strategy, SAP is addressing the need for ever shorter development times …
read moreA contemporary analytics ecosystem includes visualizations and storytelling, as well as insight sharing and predictive technologies. These features assist companies in …
read moreWith the COVID-19 crisis and an advanced offer of digital platforms, supplier collaboration is moving again into the spotlight. A successful …
read moreHow a forecast analytics solution can help demand planners and forecast analysts create stable baseline forecasts in uncertain COVID-19 times. In …
read moreMost of the companies establish MDM to aim for two key goals. One is to reach and sustain high data quality, …
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