Leveraging Salesforce Analytics for Enhanced Business Intelligence

Authors

  • Saketh Reddy Cheruku Independent Researcher, Pulimamidi Estates Beside Sri Sai Prashanthi Highschool Bhongir Nalgonda Highway, Bhongir Yadadrinbhongir (Dist) Telangana 508116,
  • (Dr.) Punit Goel Research Supervisor , Maharaja Agrasen Himalayan Garhwal University, Uttarakhand
  • Ujjawal Jain Birmingham City University

DOI:

https://doi.org/10.36676/irt.v9.i5.1462

Keywords:

Salesforce Analytics, business intelligence, real-time insights, customer relationship management

Abstract

Salesforce Analytics is a strong business intelligence (BI) solution that turns raw data into actionable insights. Today's data-driven world requires fast, reliable data analysis for business choices. Salesforce Analytics' broad range of solutions helps organizations use data for better decision-making, operational efficiency, and strategic planning. Integration of Salesforce Analytics into company processes has several benefits. First, it gives organizations real-time knowledge to adapt quickly to market developments and client requests. Organizations may track KPIs and trends using customisable dashboards, automatic reporting, and predictive analytics. Real-time visibility empowers decision-makers to prevent concerns from becoming major ones. Salesforce Analytics' unified data access and analysis platform improves departmental cooperation. Team members may easily exchange insights and reports, breaking down silos and promoting data-driven culture. On-demand report creation and sharing guarantees that all stakeholders have the same information, resulting in better aligned and informed decision-making. Customer relationship management is another important Salesforce Analytics function. The software analyzes touchpoint data to help companies understand their consumers. Businesses may detect client preferences, forecast behavior, and tailor marketing by using this data, improving customer happiness and loyalty. Salesforce's AI-powered analytics help foresee client wants and personalize offerings. Salesforce Analytics also improves forecasting and planning. Organizations may forecast future performance better by evaluating previous data and patterns. This skill is crucial in sales forecasting, inventory management, and financial planning, where precise projections ensure operational efficiency and profitability. Another benefit of Salesforce Analytics is third-party data integration. To get a complete picture of their operations, businesses may mix data from social media, email marketing, and e-commerce platforms. Integration improves strategic choices and corporate results by enabling more complete analysis. The platform's versatility lets analytics tools be customized to match corporate demands, boosting its BI solution value. Data security is crucial in the digital era, and Salesforce Analytics takes it seriously. The platform protects critical company data using encryption, access restrictions, and industry standards. Businesses may use their data confidently because of this security assurance. Finally, Salesforce Analytics improves business intelligence by offering real-time insights, collaboration, customer knowledge, and precise forecasting and planning. In today's fast-paced corporate world, its ability to interact with third-party data sources and secure data analysis makes it a useful tool. Salesforce Analytics will allow data-driven decision-making and strategic planning to help companies accomplish their objectives and expand sustainably as they navigate the contemporary market.

References

Berson, A., Smith, S. J., & Thearling, K. (2000). Building data mining applications for CRM. McGraw-Hill.

Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011). Strength in numbers: How does data-driven decision-making affect firm performance? International Journal of Information Technology & Decision Making, 10(1), 1-22. https://doi.org/10.1142/S0219622011005147

Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: Strategy, implementation, and practice. Pearson.

Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188. https://doi.org/10.2307/41703503

Davenport, T. H., Barth, P., & Bean, R. (2012). How "big data" is different. MIT Sloan Management Review, 54(1), 43-46. https://sloanreview.mit.edu/article/how-big-data-is-different/

Davenport, T. H., & Harris, J. G. (2007). Competing on analytics: The new science of winning. Harvard Business Review Press.

Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer.

Kumar, V., & Reinartz, W. (2018). Customer relationship management: Concept, strategy, and tools. Springer.

Liu, B., Li, W., & Hu, C. (2020). Predictive analytics in CRM: Improving customer retention and loyalty. Journal of Business Research, 121, 202-214. https://doi.org/10.1016/j.jbusres.2020.08.045

Payne, A., & Frow, P. (2005). A strategic framework for customer relationship management. Journal of Marketing, 69(4), 167-176. https://doi.org/10.1509/jmkg.2005.69.4.167

Russell, S., & Norvig, P. (2016). Artificial intelligence: A modern approach (3rd ed.). Pearson.

Shmueli, G., & Koppius, O. R. (2011). Predictive modeling with big data: Is bigger really better? International Journal of Information Technology & Decision Making, 10(1), 271-296. https://doi.org/10.1142/S0219622011005150

“Building and Deploying Microservices on Azure: Techniques and Best Practices". (2021). International Journal of Novel Research and Development (www.ijnrd.org), 6(3), 34-49. http://www.ijnrd.org/papers/IJNRD2103005.pdf

• Mahimkar, E. S., "Predicting crime locations using big data analytics and Map-Reduce techniques", The International Journal of Engineering Research, Vol.8, Issue 4, pp.11-21, 2021. Available: https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2104002

Chopra, E. P., "Creating live dashboards for data visualization: Flask vs. React", The International Journal of Engineering Research, Vol.8, Issue 9, pp.a1-a12, 2021. Available: https://tijer.org/tijer/papers/TIJER2109001.pdf

Venkata Ramanaiah Chinth, Om Goel, Dr. Lalit Kumar, "Optimization Techniques for 5G NR Networks: KPI Improvement", International Journal of Creative Research Thoughts (IJCRT), Vol.9, Issue 9, pp.d817-d833, September 2021. Available: http://www.ijcrt.org/papers/IJCRT2109425.pdf

Vishesh Narendra Pamadi, Dr. Priya Pandey, Om Goel, "Comparative Analysis of Optimization Techniques for Consistent Reads in Key-Value Stores", International Journal of Creative Research Thoughts (IJCRT), Vol.9, Issue 10, pp.d797-d813, October 2021. Available: http://www.ijcrt.org/papers/IJCRT2110459.pdf

Antara, E. F., Khan, S., Goel, O., "Automated monitoring and failover mechanisms in AWS: Benefits and implementation", International Journal of Computer Science and Programming, Vol.11, Issue 3, pp.44-54, 2021. Available: https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP21C1005

Pamadi, E. V. N., "Designing efficient algorithms for MapReduce: A simplified approach", TIJER, Vol.8, Issue 7, pp.23-37, 2021. Available: https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2107003

Shreyas Mahimkar, Lagan Goel, Dr. Gauri Shanker Kushwaha, "Predictive Analysis of TV Program Viewership Using Random Forest Algorithms", International Journal of Research and Analytical Reviews (IJRAR), Vol.8, Issue 4, pp.309-322, October 2021. Available: http://www.ijrar.org/IJRAR21D2523.pdf

"Analysing TV Advertising Campaign Effectiveness with Lift and Attribution Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), Vol.8, Issue 9, pp.e365-e381, September 2021. Available: http://www.jetir.org/papers/JETIR2109555.pdf

Mahimkar, E. V. R., "DevOps tools: 5G network deployment efficiency", The International Journal of Engineering Research, Vol.8, Issue 6, pp.11-23, 2021. Available: https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2106003

Kanchi, P., Goel, P., & Jain, A. (2022). SAP PS implementation and production support in retail industries: A comparative analysis. International Journal of Computer Science and Production, 12(2), 759-771. Retrieved from https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP22B1299

Rao, P. R., Goel, P., & Jain, A. (2022). Data management in the cloud: An in-depth look at Azure Cosmos DB. International Journal of Research and Analytical Reviews, 9(2), 656-671. http://www.ijrar.org/viewfull.php?&p_id=IJRAR22B3931

Kolli, R. K., Chhapola, A., & Kaushik, S. (2022). Arista 7280 switches: Performance in national data centers. The International Journal of Engineering Research, 9(7), TIJER2207014. https://tijer.org/tijer/papers/TIJER2207014.pdf

"Continuous Integration and Deployment: Utilizing Azure DevOps for Enhanced Efficiency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.i497-i517, April-2022, Available : http://www.jetir.org/papers/JETIR2204862.pdf

Shreyas Mahimkar, DR. PRIYA PANDEY, ER. OM GOEL, "Utilizing Machine Learning for Predictive Modelling of TV Viewership Trends", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.f407-f420, July 2022, Available at : http://www.ijcrt.org/papers/IJCRT2207721.pdf

"Efficient ETL Processes: A Comparative Study of Apache Airflow vs. Traditional Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.g174-g184, August-2022, Available : http://www.jetir.org/papers/JETIR2208624.pdf

Chaffey, D., & White, G. (2010). E-business and e-commerce management: Strategy, implementation, and practice. Pearson.

Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.

UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225

Kumar Kodyvaur Krishna Murthy, Shalu Jain, & Om Goel. (2022). The Impact of Cloud-Based Live Streaming Technologies on Mobile Applications: Development and Future Trends. Innovative Research Thoughts, 8(1), 181–193. https://doi.org/10.36676/irt.v8.i1.1453

Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193

Viharika Bhimanapati, Om Goel, & Pandi Kirupa Gopalakrishna Pandian. (2022). Implementing Agile Methodologies in QA for Media and Telecommunications. Innovative Research Thoughts, 8(2), 173–185. https://doi.org/10.36676/irt.v8.i2.1454

Dignesh Kumar Khatri, Anshika Aggarwal, & Prof.(Dr.) Punit Goel. (2022). AI Chatbots in SAP FICO: Simplifying Transactions. Innovative Research Thoughts, 8(3), 294–306. https://doi.org/10.36676/irt.v8.i3.1455

Bipin Gajbhiye, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2022). Penetration Testing Methodologies for Serverless Cloud Architectures. Innovative Research Thoughts, 8(4), 347–359. https://doi.org/10.36676/irt.v8.i4.1456

Chandrasekhara Mokkapati, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2024). Implementing CI/CD in Retail Enterprises: Leadership Insights for Managing Multi-Billion Dollar Projects. Innovative Research Thoughts, 9(1), 391–405. https://doi.org/10.36676/irt.v9.i1.1458

Abhishek Tangudu, Akshun Chhapola, & Shalu Jain. (2024). Leveraging Lightning Web Components for Modern Salesforce UI Development. Innovative Research Thoughts, 9(2), 220–234. https://doi.org/10.36676/irt.v9.i2.1459

Aravindsundeep Musunuri, (Dr.) Punit Goel, & A Renuka. (2023). Innovations in Multicore Network Processor Design for Enhanced Performance. Innovative Research Thoughts, 9(3), 177–190. https://doi.org/10.36676/irt.v9.i3.1460

Aravind Ayyagiri, Shalu Jain, & Anshika Aggarwal. (2023). Innovations in Multi-Factor Authentication: Exploring OAuth for Enhanced Security. Innovative Research Thoughts, 9(4), 254–267. https://doi.org/10.36676/irt.v9.i4.1461

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Published

2023-12-30
CITATION
DOI: 10.36676/irt.v9.i5.1462
Published: 2023-12-30

How to Cite

Saketh Reddy Cheruku, (Dr.) Punit Goel, & Ujjawal Jain. (2023). Leveraging Salesforce Analytics for Enhanced Business Intelligence. Innovative Research Thoughts, 9(5), 165–177. https://doi.org/10.36676/irt.v9.i5.1462