stdClass Object
(
    [id] => 16427
    [paper_index] => 202506-01-022184
    [title] => CUSTOMER 360 VIEW INSIGHTS USING PROCESS AUTOMATION AND CLOUD
    [description] => 
    [author] => Dr. T. Amalraj Victoire, M.Vasuki, P Angarika
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => June
    [volume] => 11
    [issue] => 6
    [file] => fm/jpanel/upload/2025/June/202506-01-022184.pdf
    [abstract] =>  Today’s fast-changing digital world calls for organisations to understand exactly what customers are looking for as it happens. The outcome of this project demonstrates that using process automation and cloud solutions can create a consistent view of customers, enabling organisations to take wiser decisions and increase client loyalty. GCP handles cloud analysis and storage, interactive visualisations are handled by Power BI, and data manipulation is taken care of by Python. This process allows for a flexible and efficient way to use business intelligence, by cleaning and analysing customer information in real time. At its core, the project helps build smarter and client-focused plans by providing a well made tool for better data, automation, and useful results. Keywords :Automating data pipelines, Using cloud analytics, BigQuery connection, Extract, Transform, Load (ETL), Analysing data instantly, Power BI charts, Strong data architecture, Storing data in the cloud, Automated business intelligence, Cleaning data with Python
    [keywords] => Data pipeline automation, Cloud-based analytics, BigQuery integration, ETL process, Real-time data processing, Power BI visualization, Scalable data architecture, Data warehousing, Cloud storage, Business intelligence automation, Python data cleaning
    [doj] => 2025-06-06
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 25
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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