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The Science of Data Unification: A Critical Analysis of Salesforce Data Cloud’s Features and Market Competitiveness

by Laxman Vattam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 48
Year of Publication: 2025
Authors: Laxman Vattam
10.5120/ijca2025925814

Laxman Vattam . The Science of Data Unification: A Critical Analysis of Salesforce Data Cloud’s Features and Market Competitiveness. International Journal of Computer Applications. 187, 48 ( Oct 2025), 1-6. DOI=10.5120/ijca2025925814

@article{ 10.5120/ijca2025925814,
author = { Laxman Vattam },
title = { The Science of Data Unification: A Critical Analysis of Salesforce Data Cloud’s Features and Market Competitiveness },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2025 },
volume = { 187 },
number = { 48 },
month = { Oct },
year = { 2025 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number48/the-science-of-data-unification-a-critical-analysis-of-salesforce-data-clouds-features-and-market-competitiveness/ },
doi = { 10.5120/ijca2025925814 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-10-23T00:18:16.252392+05:30
%A Laxman Vattam
%T The Science of Data Unification: A Critical Analysis of Salesforce Data Cloud’s Features and Market Competitiveness
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 48
%P 1-6
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Salesforce Data Cloud functions as a customer data platform (CDP), aggregating information from multiple sources to present a unified customer profile. Businesses accumulate vast amounts of customer data—ranging from transaction histories and online interactions to customer service engagements—yet these data points often remain fragmented across disparate systems. This fragmentation hinders businesses from developing a complete understanding of their customers, thereby limiting data-driven decision-making and operational efficiency. Salesforce Data Cloud resolves these challenges by consolidating all available customer data into a single profile, enabling more effective marketing, sales, and customer service operations while ensuring comprehensive and upto- date reporting. This study provides an in-depth exploration of Salesforce Data Cloud’s functionality, real-world applications, and distinguishing features compared to competing platforms (Adobe Real-Time CDP, Twilio Segment).

References
  1. Salesforce Architect, “Data Cloud Technical Capability Map”. https://architect.salesforce. com/diagrams/reference-architectures/ data-cloud-technical-capability-map
  2. Salesforce Blogs, “Bring Your Own AI Models to Salesforce with Einstein Studio”, 2023.
  3. Salesforce Architect, “Data Cloud Overview”. https://architect.salesforce.com/diagrams/ data-models/data-cloud/data-cloud-overview
  4. MuleSoft Docs, “Salesforce CDP Connector 1.0 - Mule 4”.
  5. Salesforce Blogs, “Bring your Google Vertex AI Models to Data Cloud”, 2023.
  6. Salesforce Help, “Event Relay”.
  7. Segment, “The Customer Data Platform Report 2024”.
  8. Adobe, “Adobe Real-Time Customer Data Platform”.
  9. Salesforce Customer Story: Wyndham Hotels & Resorts.
Index Terms

Computer Science
Information Sciences

Keywords

Salesforce Data Cloud CDP Salesforce Genie Profile Unification

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