Integrating Data for Strategic Business Intelligence to Enhance Data Analytics
Paper Title: Integrating Data for Strategic Business Intelligence to Enhance Data Analytics
Authors Name: ER. SWETHA SINGIRI, , ER. OM GOEL , DR. SHAKEB KHAN,
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Author Reg. ID: JETNR_230845
Published Paper Id: JETNR2303003
Published In: Volume 1 Issue 3, March-2023
Abstract: In the era of data-driven decision-making, organizations are increasingly relying on advanced data analytics to gain a competitive edge. This research paper explores the integration of SAP Business Intelligence (SAP BI) to enhance data analytics capabilities within organizations. SAP BI, a comprehensive suite of tools and applications, offers robust functionalities for data analysis, reporting, and visualization. By leveraging these tools, businesses can transform raw data into actionable insights, driving more informed decision-making and strategic planning. The paper examines the key features of SAP BI, including its data warehousing capabilities, interactive reporting, and advanced analytics. SAP BI integrates seamlessly with various data sources, enabling organizations to consolidate disparate data into a unified platform. This integration facilitates comprehensive data analysis and supports real-time decision-making by providing users with up-to-date information and predictive insights. The paper highlights the benefits of SAP BI in improving data accuracy, consistency, and accessibility, which are crucial for effective business intelligence. Furthermore, the research delves into case studies of organizations that have successfully implemented SAP BI. These case studies illustrate how SAP BI has been utilized to streamline data processes, enhance reporting efficiency, and drive operational improvements. Key outcomes include increased efficiency in data retrieval, improved accuracy of reports, and better alignment of data analytics with business objectives. The paper also addresses the challenges associated with integrating SAP BI into existing IT infrastructures. Common challenges include data integration issues, the need for user training, and the complexity of customizing SAP BI tools to meet specific business needs. Strategies for overcoming these challenges, such as phased implementation approaches and investing in user training, are discussed to provide practical insights for organizations considering SAP BI integration.
Keywords: SAP Business Intelligence, Data Analytics, Data Warehousing, Interactive Reporting, Advanced Analytics, Data Integration, Real-time Decision-making, Predictive Insights, Data Accuracy, Data Consistency, Data Accessibility, Operational Improvements, IT Infrastructure, User Training, Customizing SAP BI
Downloads: 000279
Page No: a23-a34
Country: ghazibad, ghaziabad, India
Research Area: Science and Technology
Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2303003
Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2303003
ISSN:
2984-9276 | IMPACT FACTOR: 8.27 Calculated By Google Scholar| ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.27 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
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