Revenue Forecasting and Financial Planning using SAP Analytics Cloud

The study investigates the utilization of SAP Analytics Cloud in revenue forecasting and its implications for strategic financial planning. By analysing the historical revenue data, this study observes the recurring revenue patterns and utilizes SAP Analytics Cloud to develop reliable revenue forecasts. The findings of this study highlight the importance of leveraging advanced analytical tools in financial decision making to provide insights into revenue trends, forecast future revenue performance with a ahigh confidence level of 95%. The study understand how external factors influences the revenue and suggest strategies to boost revenue in the context of oil market, including market analysis, product differentiation, operational optimization, and strategic marketing. Ultimately, this study emphasizes the importance of leveraging real time insights from SAP Analytics Cloud for informed decision making, cost control, enhanced profitability, and proactive adaptation to market dynamics.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-26
DOI
https://doi.org/10.22214/ijraset.2025.69538
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Revenue Forecasting and Financial Planning using SAP Analytics Cloud

K. Swetha
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

Revenue Forecasting and Financial Planning using SAP Analytics Cloud

K. Swetha
article en

Abstract

The study investigates the utilization of SAP Analytics Cloud in revenue forecasting and its implications for strategic financial planning. By analysing the historical revenue data, this study observes the recurring revenue patterns and utilizes SAP Analytics Cloud to develop reliable revenue forecasts. The findings of this study highlight the importance of leveraging advanced analytical tools in financial decision making to provide insights into revenue trends, forecast future revenue performance with a ahigh confidence level of 95%. The study understand how external factors influences the revenue and suggest strategies to boost revenue in the context of oil market, including market analysis, product differentiation, operational optimization, and strategic marketing. Ultimately, this study emphasizes the importance of leveraging real time insights from SAP Analytics Cloud for informed decision making, cost control, enhanced profitability, and proactive adaptation to market dynamics.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
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Revenue Forecasting and Financial Planning using SAP Analytics Cloud — K. Swetha · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS