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Business intelligence concepts refer to the usage of digital computing technologies in the form of datawarehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The datawarehouse. 1) The raw data.
Supply Chain Management Systems: These systems enable businesses to manage their supply chain operations, including procurement, inventory management, and logistics. OLAP databases optimize complex data queries and cater to systems that require processing large volumes of data for data analysis and reporting.
What is a Logistics KPI? A logistics key performance indicator (KPI) is a quantitative tool used by businesses to measure performance within their logistics department. Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials.
Broadly defined, the supply chain management process (SCM) refers to the coordination of all activities amongst participants in the supply chain, such as sourcing and procurement of raw materials, manufacturing, distribution center coordination, and sales. There are several stages that supply chain professionals complete in the SCM process.
Angles for SAP takes the guesswork out of S&OP and S&OE: Avoid late deliveries by identifying bottlenecks across procurement, production, and logistics. With Angles intuitive interface, prebuilt analytics templates, and cross-process intelligence, you can uncover hidden insights that are accessible even to non-technical users.
At your company, teams are likely already experiencing the headaches caused by delays with logistics, shipments, and stock levels. Alignment between customer service, logistics, sourcing/procurement, fulfillment, and planning is important but complex because of siloed departments and teams.
Angles provides real-time visibility into every stage of your supply chain, from procurement to delivery. Angles translates complex SAP data into a common language, fostering a culture of shared understanding and data-driven decision-making. Making strategic decisions backed by hard data.
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