Global Predictive Analytics Category - Procurement Market Intelligence Report
About Predictive Analytics
The increasing focus of businesses to use big data for forecasting customer behavior is a key growth driver for the predictive analytics market. The increase in the number of data sources of a business has led to the proliferation of user-generated data. By using predictive analytics, businesses can leverage this data to build statistical models that offer forward-looking statements on consumer behavior.
Covered in this report
The report provides actionable insights to improve source-to-contract cycle performance in the Global Predictive Analytics Market. Its helps sourcing professionals formulate better category strategies, enhance savings, understand supplier and market challenges, and implement sourcing best practices.
SpendEdge’s report, Global Predictive Analytics Market, provides up-to-date information about market shifts and potential risks, as well as in-depth knowledge of products and services, which can help in planning and executing category management activities. It focuses on the cost-saving aspects of procurement and on providing insights that can lead to optimization of category spend.
SpendEdge Announces the Publication of its Procurement Research Report – Global Predictive Analytics Category - Procurement Market Intelligence Report 2017-2021.
SpendEdge recognizes the following companies as the key suppliers in the Global Predictive Analytics Category - Procurement Market Intelligence Report: SAP, SAS, IBM, Oracle, and Microsoft.
Commenting on the report, an analyst from SpendEdge said: “Buyers should ensure that suppliers offer role-specific training through interactive sessions and provide an active platform for the exchange of ideas and clearing of doubts.”
According to the report, the increasing focus of businesses to use big data for forecasting customer behavior is a key growth driver for the predictive analytics market.
Further, the report states that a major procurement challenge experienced by buyers in the predictive analytics markets is the high costs involved in data standardization and integration
SAP, SAS, IBM, Oracle, Microsoft
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