Our 3-week proof of concept. Experts from Getronics will work together with you demonstrate the advantages of Microsoft’s virtual data warehousing and Azure Synapse Analytics in a concrete use case.
Azure Synapse, formerly Azure SQL Data Warehouse (PDW, Azure DWH), is the powerful new platform from Microsoft that combines data integration, enterprise data warehousing and big data analytics. Coupled with Microsoft’s complementary PowerBI visualization toolset, customers get a unified experience combined with limitless scalability and powerful insights. Analytics in Azure is up to 14 times faster in comparison and costs 94% less than other cloud providers.
Microsoft is a leader in the Gartner Magic Quadrant and customers can gain real financial benefits from better, more consistent, and more competitive use of Microsoft’s integrated business intelligence platforms and tools in Azure Synapse Analytics and alignment with Office 365’s Power BI services and features.
Microsoft’s end-to-end offers Azure Synapse Analytics’ limitless analytics service of data integration, enterprise data warehousing and big data analytics coupled with the data preparation, visual-based data discovery, interactive dashboards and augmented analytics via Power BI.
Results: • Customer dedicated Service-Now Virtual DWH POC • Automated ELT\ETL integration Service-Now to Virtual DWH in Azure • Enhance standard reporting and dashboards in Power BI App (Azure hosted) • Selected data integrated into Synapse Analytics • Know-how transfer has taken place • Recommendations for action and the next steps are clearly defined
Benefits: • Re-use Getronics’ extensive functional and technical expertise (ServiceNow, BI platform, Azure) • Speed of delivery. After a 15-20 days POV we provide a virtual DWH platform • Demonstrate timely & optimal executive management decisions to improve operational performance • Surface hidden insights into service support activities, performance, trends, anomalies • Foster continuous improvement for the ITSM processes (incidents, tasks, change requests) • Analyse and act on response time and customer experience information to improve business performance