International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Leveraging Sales Data Analytics to Optimize Pharmaceutical Drug Launches: A Technical Analysis

Author(s) Harpreet Singh
Country United States
Abstract This technical article quantifies the impact of sales data analytics on pharmaceutical drug launch optimization through advanced predictive modeling and real-time market analysis. The article examines data from 150 drug launches between 2018-2023, analyzing the correlation between analytics
implementation and market success. Findings demonstrate that machine learning models reduce forecast variance from ±25% to ±8%, while real-time analytics processing 2.5 million data points per cycle enables 72-hour market response times. Advanced analytics platforms achieve 89% accuracy in predicting prescriber value through multi-channel engagement analysis. The article reveals that integrating AI-driven territory optimization improves field force efficiency by 34%, while automated data validation achieves 99.8% accuracy. Implementation results show consistent outperformance across key metrics, including a 45% higher market penetration rate and a 23% improvement in launch trajectories compared to traditional approaches.
Keywords Pharmaceutical Analytics, Drug Launch Optimization, Machine Learning in Healthcare, Real-time Market Analysis, Predictive Modeling
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-13
Cite This Leveraging Sales Data Analytics to Optimize Pharmaceutical Drug Launches: A Technical Analysis - Harpreet Singh - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30347
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.30347
Short DOI https://doi.org/g8rd44
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com