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SAP Business Technology Platform (SAP BTP) is a platform as a service developed by SAP SE that offers a suite of services including database and data management, AI, analytics, application development, automation and integration all running on one unified platform.
In 2012, SAP promoted aspects of cloud computing. [16] In October 2012, SAP announced a platform as a service offering called the SAP HANA Cloud Platform [17] [18] and a variant called SAP HANA One that used a smaller amount of memory. [19] [20] In May 2013, a managed private cloud offering called the HANA Enterprise Cloud service was announced ...
Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software
IBM Planning Analytics powered by TM1 (formerly IBM Cognos TM1, formerly Applix TM1, formerly Sinper TM/1 [1]) is a business performance management software suite designed to implement collaborative planning, budgeting and forecasting solutions, interactive "what-if" analyses, as well as analytical and reporting applications.
Cloud analytics is a marketing term for businesses to carry out analysis using cloud computing. It uses a range of analytical tools and techniques to help companies extract information from massive data and present it in a way that is easily categorised and readily available via a web browser.
Siebel introduced the first mobile CRM app called Siebel Sales Handheld in 1999. The idea of a stand-alone, cloud-hosted customer base was soon adopted by other leading providers at the time, including PeopleSoft (acquired by Oracle), [11] Oracle, SAP and Salesforce.com. [14] The first open-source CRM system was developed by SugarCRM in 2004 ...
The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure
Cloud-based data warehouses like Amazon Redshift, Google BigQuery, Microsoft Azure Synapse Analytics and Snowflake Inc. have been able to provide highly scalable computing power. This lets businesses forgo preload transformations and replicate raw data into their data warehouses, where it can transform them as needed using SQL .