Leveraging SAP BW4HANA for Scalable Data Warehousing in Large Enterprises DOI
Arvind Bhardwaj,

Nagender Yadav,

Jay Bhatt

и другие.

Integrated Journal for Research in Arts and Humanities, Год журнала: 2024, Номер 4(6), С. 143 - 163

Опубликована: Ноя. 25, 2024

In the era of big data, large enterprises face challenge efficiently managing and analyzing vast volumes information to derive actionable insights. SAP BW/4HANA emerges as a powerful solution that facilitates scalable data warehousing, enabling organizations harness their for strategic decision-making. This paper explores key features advantages BW/4HANA, highlighting its capability integrate real-time processing, advanced analytics, enhanced modeling. By leveraging in-memory computing power HANA, can significantly reduce processing times improve query performance, thus faster insights informed The further discusses architectural enhancements offers, such simplified flows, streamlined integration, use modern user interfaces, which collectively contribute more agile warehousing environment. Moreover, flexibility deploying on-premise or in cloud allows scale capabilities alignment with growth strategies. Through case studies real-world examples, this research underscores effectiveness addressing complexities enterprises, emphasizing role fostering data-driven culture. Ultimately, posits enhance operational efficiency support achieving objectives an increasingly data-centric business landscape.

Язык: Английский

Machine Learning Applications in Telecom and Banking DOI Creative Commons

Naveen Bagam,

Sai Krishna Shiramshetty,

Mouna Mothey

и другие.

Integrated Journal for Research in Arts and Humanities, Год журнала: 2024, Номер 4(6), С. 57 - 69

Опубликована: Ноя. 20, 2024

The uses of machine learning (ML) in the banking and telecommunication sectors are investigated over course this research paper. results article indicate that by means enhanced customer experience, identification fraudulent behaviour, risk management, operational efficiency, algorithms changing these sectors. This covers several methods including supervised unsupervised learning, deep reinforcement others together with their particular telecommunications especially. To show how is affecting different sectors, case papers, real-world studies, samples abound. Furthermore included possible future trends advancements field as well difficulties restrictions related to application solutions.

Язык: Английский

Процитировано

9

Automation Strategies for Web and Mobile Applications in Media Domains DOI

Viharika Bhimanapati,

Akshun Chhapola,

Shalu Jain

и другие.

International Journal for Research Publication and Seminars, Год журнала: 2023, Номер 14(5), С. 225 - 239

Опубликована: Дек. 29, 2023

In the fast-paced and ever-evolving media domain, demand for seamless user experiences across web mobile platforms is paramount. Automation has emerged as a critical strategy to ensure quality, reliability, efficiency of applications in this sector. This research paper delves into various automation strategies employed development maintenance within industry. It explores unique challenges posed by dynamic nature content, high engagement, necessity rapid updates, all which require robust scalable solutions. The begins examining landscape applications, emphasizing importance cross-platform consistency, content delivery speed, experience. then outlines key that are tailored specifically including continuous integration (CI/CD) pipelines, automated testing frameworks, AI machine learning predictive behavior analysis. These essential maintaining application performance, ensuring compatibility diverse devices operating systems, adapting variability content.

Язык: Английский

Процитировано

17

Advanced SQL Query Techniques for Data Analysis in Healthcare DOI

Sai Krishna Shiramshetty

Journal for Research in Applied Sciences and Biotechnology, Год журнала: 2023, Номер 2(4), С. 248 - 258

Опубликована: Авг. 31, 2023

The experts in complex healthcare databases have acknowledged the need for advanced SQL query skills as more significant and diverse datasets grow modern environment. In this paper, core methods including joins, subqueries, window functions are explained used demonstrating following practical use cases: predictive analytics, cohort analysis, operational improvement. Several aspects of how works with current future technologies including, Artificial Intelligence, Cloud Computing, Big Data Solutions also discussed. Optimizing health care data analysis requires resolution issues date synthesis, security performance; nevertheless, continues to play a pivotal role enhancing thus leading improved management patient care.

Язык: Английский

Процитировано

12

Evaluating Power Delivery and Thermal Management in High-Density PCB Designs DOI

Aravind Sundeep,

Punit Goel,

A Renuka

и другие.

International Journal for Research Publication and Seminars, Год журнала: 2023, Номер 14(5), С. 240 - 252

Опубликована: Дек. 29, 2023

High-density PCB (Printed Circuit Board) designs have become increasingly prevalent in modern electronic devices due to their compact size and the need for high-performance functionality. However, this miniaturization increased component density introduce significant challenges power delivery thermal management. Effective management of these aspects is crucial maintaining reliability, performance, longevity systems. Power networks (PDNs) are essential distributing electrical various components on a PCB. In high-density designs, complexity PDNs increases as demand grows available space routing distribution decreases. The primary challenge ensure that all receive stable sufficient while minimizing voltage drops noise. This involves careful design planes, vias, decoupling capacitors. Techniques such multi-layer construction, plane segmentation, use advanced models can help address challenges.

Язык: Английский

Процитировано

9

High Availability Strategies For Identity Access Management Systems In Large Enterprises DOI

Srinivasulu Harshavardhan Kendyala

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Optimizing SAP FICO Integration with Cross-Module Interfaces DOI

Dignesh Kumar Khatri,

Prof. Punit Goel,

A Renuka

и другие.

International Journal for Research Publication and Seminars, Год журнала: 2024, Номер 15(1), С. 188 - 201

Опубликована: Янв. 29, 2024

The integration of SAP FICO (Financial Accounting and Controlling) with cross-module interfaces is critical for enhancing the efficiency effectiveness financial management within organizations. This research explores methodologies strategies optimizing integration, focusing on how can be leveraged to streamline processes improve data accuracy. complexity environments, their multiple modules extensive flows, presents significant challenges achieving seamless integration. study addresses these by analyzing best practices, frameworks, impact various technologies FICO. a cornerstone ERP system, providing essential functionalities accounting, cost tracking, reporting. However, its often contingent ability integrate efficiently other modules, such as Sales Distribution (SD), Material Management (MM), Production Planning (PP). Cross-module are pivotal in ensuring that flows seamlessly between enabling unified view operational information.

Язык: Английский

Процитировано

3

Advanced Techniques in Data Transformation with DataStage and Talend DOI

Saketh Reddy Cheruku,

Prof. Arpit Jain,

Er. Om Goel

и другие.

International Journal for Research Publication and Seminars, Год журнала: 2024, Номер 15(1), С. 202 - 216

Опубликована: Янв. 29, 2024

In the rapidly evolving landscape of data management and analytics, advanced techniques in transformation have become crucial for businesses striving to maintain a competitive edge. This paper delves into sophisticated methods employed by two leading integration tools: IBM DataStage Talend. These platforms are instrumental facilitating extraction, transformation, loading (ETL) data, which is vital seamless disparate sources. By leveraging capabilities Talend, organizations can optimize their processes, ensuring high-quality, reliable business intelligence (BI) analytics. DataStage, with its robust architecture, provides powerful framework complex tasks. Its parallel processing enable efficient handling large datasets, making it an ideal choice enterprises dealing big data. DataStage’s ability perform intricate transformations through graphical user interface (GUI) scripting options allows flexible scalable pipelines. Additionally, IBM’s broader ecosystem tools enhances utility end-to-end workflows.

Язык: Английский

Процитировано

2

Optimizing Cross-Functional Teams in Remote Work Environments for Product Development DOI

Santhosh Vijayabaskar,

Kumar Kodyvaur Krishna Murthy,

Saketh Reddy Cheruku

и другие.

Modern Dynamics: Mathematical Progressions., Год журнала: 2024, Номер 1(2), С. 188 - 203

Опубликована: Авг. 30, 2024

Remote work settings have significantly increased in the current product development landscape. This change requires a reassessment of operational, communication, and collaborative methodologies cross-functional teams order to guarantee successful results. It is crucial optimise these distant environments sustain production, creativity, cohesiveness. study investigates methods optimal approaches improve effectiveness involved remote development.The first part analyses distinct obstacles encountered by operating remotely, such as deficiencies disparities time zones, possibility diminished team unity. underscores need developing explicit procedures for virtual including frequent video conferences, asynchronous updates, platforms that enable immediate interactions exchange documents. research subsequently examines function technology enhancing efficiency teams. importance implementation strong project management tools facilitate monitoring tasks, allocation resources, milestones. In addition, use sophisticated communication technologies, conferencing, instant messaging, whiteboards, being explored method cooperation problem-solving.

Язык: Английский

Процитировано

1

Artificial Intelligence in Automated Testing Environments DOI

Mouna Mothey

Stallion Journal for Multidisciplinary Associated Research Studies, Год журнала: 2023, Номер 2(4), С. 41 - 54

Опубликована: Авг. 31, 2023

Artificial intelligence is developing at a breakneck pace, and its combination with automation has begun to transform the corporate environment. Businesses are concentrating on employing current AI in conjunction automated procedures achieve unprecedented levels of productivity quality. The revolutionary impact AI-driven reporting for test explored this research study. By using artificial intelligence, we enable provide useful insights addition problem detection. Every day, enormous volumes data produced from several sources, which must be properly tracked, analysed, reported on, used guide action. With development more sophisticated software programs, time becoming crucial consideration deployment applications that need thoroughly tested adhere business requirements. essential testing because it can faster reliable findings. These malfunctions may hazardous often happen during testing. Understanding component behaviour putting into practice effective defences against failure. While currently difficult predict random failures, (AI) enables predictive failure simulation by intelligently simulating real-world conditions. Failure prediction then possible comparing simulated actual data, maintenance spare provisioning plans. As technology automotive systems continues advance, increasingly important address issues prevent future failures. Virtual reality preventive understanding system preventing

Язык: Английский

Процитировано

3

Optimization of SAP SD Pricing Procedures for Custom Scenarios in High-Tech Industries DOI
Nidhi Yadav,

Akshay Gaikwad,

Swathi Garudasu

и другие.

Integrated Journal for Research in Arts and Humanities, Год журнала: 2024, Номер 4(6), С. 122 - 142

Опубликована: Ноя. 25, 2024

The high-tech industry operates in a dynamic environment requiring customized solutions for unique business scenarios. Pricing procedures within the SAP Sales and Distribution (SD) module are critical managing complex pricing structures ensuring profitability. This paper explores optimization of SD to address specific needs custom scenarios industries. It identifies challenges posed by highly configurable products, multi-tiered pricing, intricate tax often associated with these A systematic approach is proposed enhancing accuracy efficiency, leveraging SAP’s flexible condition technique. study introduces strategies tailoring schemas, types, access sequences handle requirements, such as volume-based discounts, region-specific bundled product offers. Furthermore, it examines integration external engines advanced analytics complement standard functionalities, seamless scalability adaptability market changes. Case studies presented illustrate successful implementation optimized enterprises, highlighting improved sales order processing times, increased transparency, reduced revenue leakage. findings emphasize importance aligning organizational goals while maintaining compliance regulations. research provides roadmap consultants leaders achieve greater agility precision operations, fostering competitiveness an ever-evolving marketplace. By addressing industries, this demonstrates how optimizations can drive operational excellence growth.

Язык: Английский

Процитировано

0