1. The document discusses a research project analyzing employee performance and customer relationship management (CRM) using a machine learning approach on a dataset from the UCI repository.
2. The project performs CRM analysis on the dataset using techniques like data preprocessing, feature extraction, and applying machine learning algorithms like KNN, linear regression, and random forest.
3. The goal of the project is to better understand how factors like employee performance and turnover impact an organization's economic stability and profits through CRM analysis and machine learning models.
This document discusses shifting paradigms in strategic customer relationship management (SCRM). SCRM systems must do more than just track customer interactions - they must analyze information, spot trends, and enable sales forces. Next-generation SCRM integrates customer data throughout the entire organization, from sales and marketing to engineering and operations. It provides benefits like improved communication, identifying key accounts, and turning data into actionable insights. SCRM must be designed around collaboration and information sharing across departments to facilitate real-time customer insights. Today's approach to innovation and value creation is driven by customer co-creation and intimacy, requiring SCRM solutions to manage broader customer relationships and interactions.
A Review : Benefits and Critical Factors of Customer Relationship ManagementEswar Publications
Customer Relationship Management (CRM) is a technical jargon which is a blend of methodologies, software and internet, which are used by a company to achieve its goal through the identification and satisfaction of customer’s
stated and unstated needs and wants. This software addresses customer life cycle management. This system
manages company interactions with current and future customers. It involves technology to organize, automate
and synchronize business processes. CRM application is an essential tool for a company to grow and help to increase the satisfaction of customers. There are many benefits of CRM; those make the market environment customer centric. In this paper, we reviewed previous studies and identify those benefits which affect customers and company both. But CRM has many problems also because of them CRM gets failure. Its failure rate is more than its success rate. We also elaborated its failure factors and along with them its critical success factors which help in making CRM a successful project for a company, however implementation of CRM is a complex task.
A Study on CLTV Model in E Commerce Domains using Pythonijtsrd
Customer Relationship Management CRM system is an information management and analysis tool that can help businesses and other organizations manage their interactions with customers. CRMs were originally designed to target large corporations, but the internet has allowed small business owners to take advantage of these tools as well. Customer data is collected in a CRM database, which allows for advanced analysis such as customer segmentation and contact history. Customer relationship management system CRMs is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information. In this article, we will be explaining how you can a E commerce company can apply their customer relationship management system to analyze their customer base by CLTV, a key marketing metric that allows you to evaluate the impact and outcomes of the firm’s customer relationship management strategies and tactics. In order to increase revenue through better marketing campaigns. E commerce companies consider that customers are their most important asset and that it is essential to estimate the potential value of this asset. Hence, a model for calculating customers value is essential in these domains. We describe a general modeling approach, based on BG NBD and Gamma Gamma models, for calculating customer value in the e commerce domain. This model extends existing models from the field of direct marketing, by taking into account a sample set of variables required for evaluating customers value in an e commerce environment. In addition, we present an algorithm for generating this model from historical data, as well as an application of this modeling approach for the creation of a model for e commerce. This model provides more accurate predictions than existing models regarding the future income generated by customers using Python. Rasamallu Sai Bharath Reddy | Dr. T. Narayana Reddy "A Study on CLTV Model in E-Commerce Domains using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-6 , October 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51952.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51952/a-study-on-cltv-model-in-ecommerce-domains-using-python/rasamallu-sai-bharath-reddy
This document provides an overview of strategic customer relationship management (SCRM). It discusses how SCRM has evolved from basic contact management systems to become a core business strategy. SCRM involves integrating customer data and insights across an organization to better understand customers, identify opportunities, and drive profitable outcomes. The document also introduces the concept of next generation SCRM, which takes a more holistic view of customers by involving all business functions beyond just sales, marketing, and support. It argues next generation SCRM should be a company-wide initiative led from the top-down to realize its full benefits.
This document provides an overview of strategic customer relationship management (SCRM). It discusses how SCRM has evolved from basic contact management systems to become a core business strategy. SCRM involves integrating customer data and insights across an organization to better understand customers, identify opportunities, and drive profitable outcomes. The document also introduces the concept of next generation SCRM, which takes a more holistic view of customers by involving all business functions beyond just sales, marketing, and support. It argues next generation SCRM should be a company-wide initiative led from the top-down to fully realize its benefits.
This document discusses strategic customer relationship management and the evolution of CRM systems. It begins by explaining that while many organizations recognize the value of CRM, many existing systems are just contact managers that don't help analyze customer data or drive profitable outcomes. True strategic CRM integrates customer information throughout an organization to better acquire, develop and retain customers. The document then discusses how CRM has evolved from sales tools to core business elements, and that next generation strategic CRM looks beyond just sales and marketing to involve all parts of a business. It concludes that next generation strategic CRM encompasses the entire business and ties business processes like ERP to individual customers.
to study customer relationship management towards pooja industries.pvt.ltd, ...SaurabhShete11
This document is a project report submitted by Saurabh Balasaheb Shete to Savitribai Phule Pune University in partial fulfillment of the requirements for a Master of Business Administration degree. The project report studies customer relationship management at Pooja Industries, which is located in Ambad MIDC, Nashik, Maharashtra, India. The report includes a declaration by Saurabh, an acknowledgement of those who provided guidance and assistance, an executive summary of the report's contents, and an index of the report's chapters.
This document provides an analysis report on customer relationship management (CRM) at Aptech Ltd, an Indian information technology education company. It discusses Aptech's Customer Response System (CRS), which captures student feedback, complaints, queries to better understand customer experience. CRS aims to improve customer service, product design, and the overall delivery process. It also analyzes how CRM works and is implemented at Aptech to enhance customer satisfaction and center performance through customer data collection and knowledge management. The report examines CRM strategies at Aptech from both a business and customer perspective to increase profitability in the competitive IT education industry.
This document discusses shifting paradigms in strategic customer relationship management (SCRM). SCRM systems must do more than just track customer interactions - they must analyze information, spot trends, and enable sales forces. Next-generation SCRM integrates customer data throughout the entire organization, from sales and marketing to engineering and operations. It provides benefits like improved communication, identifying key accounts, and turning data into actionable insights. SCRM must be designed around collaboration and information sharing across departments to facilitate real-time customer insights. Today's approach to innovation and value creation is driven by customer co-creation and intimacy, requiring SCRM solutions to manage broader customer relationships and interactions.
A Review : Benefits and Critical Factors of Customer Relationship ManagementEswar Publications
Customer Relationship Management (CRM) is a technical jargon which is a blend of methodologies, software and internet, which are used by a company to achieve its goal through the identification and satisfaction of customer’s
stated and unstated needs and wants. This software addresses customer life cycle management. This system
manages company interactions with current and future customers. It involves technology to organize, automate
and synchronize business processes. CRM application is an essential tool for a company to grow and help to increase the satisfaction of customers. There are many benefits of CRM; those make the market environment customer centric. In this paper, we reviewed previous studies and identify those benefits which affect customers and company both. But CRM has many problems also because of them CRM gets failure. Its failure rate is more than its success rate. We also elaborated its failure factors and along with them its critical success factors which help in making CRM a successful project for a company, however implementation of CRM is a complex task.
A Study on CLTV Model in E Commerce Domains using Pythonijtsrd
Customer Relationship Management CRM system is an information management and analysis tool that can help businesses and other organizations manage their interactions with customers. CRMs were originally designed to target large corporations, but the internet has allowed small business owners to take advantage of these tools as well. Customer data is collected in a CRM database, which allows for advanced analysis such as customer segmentation and contact history. Customer relationship management system CRMs is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information. In this article, we will be explaining how you can a E commerce company can apply their customer relationship management system to analyze their customer base by CLTV, a key marketing metric that allows you to evaluate the impact and outcomes of the firm’s customer relationship management strategies and tactics. In order to increase revenue through better marketing campaigns. E commerce companies consider that customers are their most important asset and that it is essential to estimate the potential value of this asset. Hence, a model for calculating customers value is essential in these domains. We describe a general modeling approach, based on BG NBD and Gamma Gamma models, for calculating customer value in the e commerce domain. This model extends existing models from the field of direct marketing, by taking into account a sample set of variables required for evaluating customers value in an e commerce environment. In addition, we present an algorithm for generating this model from historical data, as well as an application of this modeling approach for the creation of a model for e commerce. This model provides more accurate predictions than existing models regarding the future income generated by customers using Python. Rasamallu Sai Bharath Reddy | Dr. T. Narayana Reddy "A Study on CLTV Model in E-Commerce Domains using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-6 , October 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51952.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51952/a-study-on-cltv-model-in-ecommerce-domains-using-python/rasamallu-sai-bharath-reddy
This document provides an overview of strategic customer relationship management (SCRM). It discusses how SCRM has evolved from basic contact management systems to become a core business strategy. SCRM involves integrating customer data and insights across an organization to better understand customers, identify opportunities, and drive profitable outcomes. The document also introduces the concept of next generation SCRM, which takes a more holistic view of customers by involving all business functions beyond just sales, marketing, and support. It argues next generation SCRM should be a company-wide initiative led from the top-down to realize its full benefits.
This document provides an overview of strategic customer relationship management (SCRM). It discusses how SCRM has evolved from basic contact management systems to become a core business strategy. SCRM involves integrating customer data and insights across an organization to better understand customers, identify opportunities, and drive profitable outcomes. The document also introduces the concept of next generation SCRM, which takes a more holistic view of customers by involving all business functions beyond just sales, marketing, and support. It argues next generation SCRM should be a company-wide initiative led from the top-down to fully realize its benefits.
This document discusses strategic customer relationship management and the evolution of CRM systems. It begins by explaining that while many organizations recognize the value of CRM, many existing systems are just contact managers that don't help analyze customer data or drive profitable outcomes. True strategic CRM integrates customer information throughout an organization to better acquire, develop and retain customers. The document then discusses how CRM has evolved from sales tools to core business elements, and that next generation strategic CRM looks beyond just sales and marketing to involve all parts of a business. It concludes that next generation strategic CRM encompasses the entire business and ties business processes like ERP to individual customers.
to study customer relationship management towards pooja industries.pvt.ltd, ...SaurabhShete11
This document is a project report submitted by Saurabh Balasaheb Shete to Savitribai Phule Pune University in partial fulfillment of the requirements for a Master of Business Administration degree. The project report studies customer relationship management at Pooja Industries, which is located in Ambad MIDC, Nashik, Maharashtra, India. The report includes a declaration by Saurabh, an acknowledgement of those who provided guidance and assistance, an executive summary of the report's contents, and an index of the report's chapters.
This document provides an analysis report on customer relationship management (CRM) at Aptech Ltd, an Indian information technology education company. It discusses Aptech's Customer Response System (CRS), which captures student feedback, complaints, queries to better understand customer experience. CRS aims to improve customer service, product design, and the overall delivery process. It also analyzes how CRM works and is implemented at Aptech to enhance customer satisfaction and center performance through customer data collection and knowledge management. The report examines CRM strategies at Aptech from both a business and customer perspective to increase profitability in the competitive IT education industry.
Driven by challenges on competition, rising customer expectation and shrinking
margins, banks have been using technology to reduce cost. Apart from competitive
environment, there has been deregulation as to rate of interest, technology intensive
delivery channel like Internet Banking, Tele Banking, Mobile banking and Automated
Teller Machines (ATMs) etc have created a multiple choice to user of the bank. The
banking business is becoming more and more complex with the changes emanating from
the liberalization and globalization. For a new bank, customer creation is important, but
an established bank it is the retention is much more efficient and cost effective
mechanism.
This document provides an overview of different areas of business intelligence (BI) that are being examined as part of the FIMECC S4Fleet project. It summarizes nine different BI topics: 1) BI Framework, 2) BI Architecture, 3) Competitive Intelligence, 4) Customer Intelligence/Sales/CRM, 5) Financial Intelligence, 6) Fleet Management, 7) HR Intelligence, 8) R&D Measurement, and 9) Supply Chain Measurement. For each topic, it outlines the research areas of interest and expected outcomes. The overall goal of the project is to develop a BI framework to facilitate real-time strategic decision making for solution providers.
This document provides an overview of supply chain management (SCM) and customer relationship management (CRM). It discusses how SCM involves collaboration between resellers and suppliers to deliver value to customers. CRM uses customer data to build stronger marketing programs and long-term customer relationships. The document argues that integrating SCM and CRM allows companies to achieve improvements in financial and performance metrics that would not be possible through standalone approaches. It provides details on the benefits and components of both SCM and CRM systems.
This document provides a summary of a research report on customer relationship management in the banking sector. It discusses:
1) How CRM has become important for retaining customers and maximizing their lifetime value in the competitive banking industry.
2) The methodologies used in the research project, including a literature review, survey questionnaire, and analysis of customer perceptions of banks' CRM strategies and technologies.
3) The objectives of examining CRM's impact on customer satisfaction and offering suggestions to improve banks' CRM practices.
This document discusses Customer Relationship Management (CRM) in the context of non-banking financial services. It provides an introduction to CRM and highlights that most institutions take a narrow view of CRM, limiting benefits. A successful CRM strategy incorporates business activities, channel management, relationship management, and back-office/front-office integration within a customer-centric approach. The document then discusses concepts, benefits, challenges and importance of CRM for non-banks. It also covers CRM techniques used by non-banks in India and future trends in CRM.
This document provides an overview of Customer Relationship Management (CRM) in the context of non-banking financial services in India. It discusses how CRM can help automate lending operations, boost sales, improve customer experience and loyalty. However, challenges include creating a unified customer view across multiple systems and products. The document also outlines various CRM techniques used by non-banks like mobile and online banking. It emphasizes the importance of embracing new technologies like artificial intelligence, analytics and cloud-based solutions to gain insights, manage growth and stay compliant with regulations.
This whitepaper discusses the use of analytics to help companies retain customers during and after mergers and acquisitions (M&As). It describes the challenges of customer retention due to synergies from M&As impacting customers. A Customer Cockpit solution is proposed using data integration, machine learning and dashboards to identify at-risk customers, understand customer experience, and monitor key performance indicators. The solution aims to help companies measure performance, predict churn, and take actions to retain top customers and those likely to defect during M&As.
This document summarizes a research paper that predicts customer churn using logistic regression with regularization and optimization techniques. The paper applies these techniques to predict churn customers in the banking, e-commerce, and telecom sectors. It first discusses customer relationship management (CRM) and how data mining can be used for customer churn prediction. Then, it describes logistic regression and how the proposed method adds regularization and optimization to improve accuracy. The method is tested on datasets from the three sectors to classify customers as churners or non-churners. The paper finds that adding regularization and optimization to logistic regression enhances its performance in customer churn prediction.
Management Assignment Help | by Onlineassignment.NetOnline
The document discusses implementing new technology and quantitative evaluation techniques at XYZ Construction. It provides an assignment to analyze planning, implementing, and evaluating new technology to help the company transition to becoming publicly traded. It also asks to describe quantitative metrics that can be used to measure customer satisfaction, quality, EEO compliance, and market evaluation. The solution proposes using descriptive statistics and hypotheses testing to quantify these areas and outlines specific metrics for measuring service quality, customer satisfaction, and performance.
Management Assignment Help for students worldwide | by Onlineassignment.nOnline
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Online Assignment is an early pioneer of online tutoring and homework assistance , helping K-12, College and Graduate students succeed in their academics since 2003.
With expert tutors available 24/7, help is within reach when you need it most. Whether you are a parent looking for qualified tutoring on Math for your kid or a college student needing urgent assistance on your difficult case study you need to submit in tomorrow, you need to look no further than OnlineAssignment. Our affordable, expert tutors have helped over 200,000+ students understand their difficult assignment problems or prepare for an upcoming exam.
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We at Online Assignment, embark upon providing high quality online education to our students who are spread all across the globe. Our endeavour is to help you realize your full potential by mentoring and guiding you through the process of doing your assignment.
We empower the academic knowledge and strength of the students and professionals by providing all possible academic assistance such as assignments help, homework help, project and research help, writing help in all the areas of studies broadly covered under Commerce, Arts, Science and Computers.
Homework Help | Assignment Help | Project Help | Online Tutoring | Math Help | Programming Help |
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Investment banks recognize the need to digitize in order to generate new revenue sources but face challenges in defining digital strategies. The document discusses four key challenges investment banks face in becoming digital businesses: 1) Enabling seamless collaboration through tools like Salesforce Chatter. 2) Providing faster data and insights to clients through real-time risk analysis. 3) Creating a unified view of collateral management across business units. 4) Strengthening security measures like active defense as digital transformation increases risks. The document argues investment in areas like analytics, mobility, cloud computing, and security are required for investment banks to deliver rich digital experiences and remain competitive.
The document provides information about Tata Consultancy Services (TCS), a large Indian IT services company. It discusses TCS's services including IT services, business solutions, and outsourcing. It also lists the top 10 global IT service providers and notes that TCS's rank has improved from 24 to 21. Emerging technologies discussed include user experience, data-driven decisions, and cloud computing implications. The document also covers changing customer expectations in IT outsourcing and how TCS manages customer expectations through analyzing, setting, and managing them over the life of a project.
An intuitive CRM Application fosters usability and user experienceUSECON
Business success today is defined increasingly by the building and effective management of all customer relationships. Successful CRM systems map customer-relevant business processes for sales, marketing, and service.
CRM analytics help telecom companies understand customer behavior and needs through collecting and analyzing customer data. This allows companies to increase customer retention, reduce churn, improve cross-selling opportunities, and enhance customer experience. T-Mobile uses CRM analytics to identify influential customers within social networks to improve marketing and reduce churn. Airtel also implemented an Oracle CRM system to centralize customer data and provide consistent service across multiple call centers.
The document discusses strategic customer relationship management (CRM). It defines strategic CRM and its key components, including customer management orientation, integration and alignment of organizational processes, and information capture and alignment of technology. It also presents a case study of IBM's CRM implementation, which delivered $2 billion in cost reductions and other benefits through an integrated process enabled by CRM. The summary discusses the key aspects and lessons from IBM's large-scale CRM implementation.
Key takeaways from the Gartner Magic Quadrant for the CRM Customer Engagement...Creatio
Bpm'online has been included in the Gartner CRM Customer Engagement Center Magic Quadrant, 2015.
Report Highlights:
- Through 2018, an ecosystem of at least five vendors will be required to build the ideal customer engagement center (CEC), the core of which will be an intelligent CRM case management system.
- Great diligence must be shown by IT leaders working on customer service projects.
- To support customers, some interactions will remain human-assisted, while far more will be automated, and some will require customer self-service through search tools or social media channels.
MBA Projects, synopsis, and synopsis of various regular as well as distance learning undergraduate and postgraduate courses for various institutions like SMU – Sikkim Manipal University, SMUDE, AIMA, AMITY, IGNOU, SCDL, JAMIA, AMU, JHU etc.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
More Related Content
Similar to Employee Performance and CRM Analysis of UCI Dataset using Machine Learning Approach
Driven by challenges on competition, rising customer expectation and shrinking
margins, banks have been using technology to reduce cost. Apart from competitive
environment, there has been deregulation as to rate of interest, technology intensive
delivery channel like Internet Banking, Tele Banking, Mobile banking and Automated
Teller Machines (ATMs) etc have created a multiple choice to user of the bank. The
banking business is becoming more and more complex with the changes emanating from
the liberalization and globalization. For a new bank, customer creation is important, but
an established bank it is the retention is much more efficient and cost effective
mechanism.
This document provides an overview of different areas of business intelligence (BI) that are being examined as part of the FIMECC S4Fleet project. It summarizes nine different BI topics: 1) BI Framework, 2) BI Architecture, 3) Competitive Intelligence, 4) Customer Intelligence/Sales/CRM, 5) Financial Intelligence, 6) Fleet Management, 7) HR Intelligence, 8) R&D Measurement, and 9) Supply Chain Measurement. For each topic, it outlines the research areas of interest and expected outcomes. The overall goal of the project is to develop a BI framework to facilitate real-time strategic decision making for solution providers.
This document provides an overview of supply chain management (SCM) and customer relationship management (CRM). It discusses how SCM involves collaboration between resellers and suppliers to deliver value to customers. CRM uses customer data to build stronger marketing programs and long-term customer relationships. The document argues that integrating SCM and CRM allows companies to achieve improvements in financial and performance metrics that would not be possible through standalone approaches. It provides details on the benefits and components of both SCM and CRM systems.
This document provides a summary of a research report on customer relationship management in the banking sector. It discusses:
1) How CRM has become important for retaining customers and maximizing their lifetime value in the competitive banking industry.
2) The methodologies used in the research project, including a literature review, survey questionnaire, and analysis of customer perceptions of banks' CRM strategies and technologies.
3) The objectives of examining CRM's impact on customer satisfaction and offering suggestions to improve banks' CRM practices.
This document discusses Customer Relationship Management (CRM) in the context of non-banking financial services. It provides an introduction to CRM and highlights that most institutions take a narrow view of CRM, limiting benefits. A successful CRM strategy incorporates business activities, channel management, relationship management, and back-office/front-office integration within a customer-centric approach. The document then discusses concepts, benefits, challenges and importance of CRM for non-banks. It also covers CRM techniques used by non-banks in India and future trends in CRM.
This document provides an overview of Customer Relationship Management (CRM) in the context of non-banking financial services in India. It discusses how CRM can help automate lending operations, boost sales, improve customer experience and loyalty. However, challenges include creating a unified customer view across multiple systems and products. The document also outlines various CRM techniques used by non-banks like mobile and online banking. It emphasizes the importance of embracing new technologies like artificial intelligence, analytics and cloud-based solutions to gain insights, manage growth and stay compliant with regulations.
This whitepaper discusses the use of analytics to help companies retain customers during and after mergers and acquisitions (M&As). It describes the challenges of customer retention due to synergies from M&As impacting customers. A Customer Cockpit solution is proposed using data integration, machine learning and dashboards to identify at-risk customers, understand customer experience, and monitor key performance indicators. The solution aims to help companies measure performance, predict churn, and take actions to retain top customers and those likely to defect during M&As.
This document summarizes a research paper that predicts customer churn using logistic regression with regularization and optimization techniques. The paper applies these techniques to predict churn customers in the banking, e-commerce, and telecom sectors. It first discusses customer relationship management (CRM) and how data mining can be used for customer churn prediction. Then, it describes logistic regression and how the proposed method adds regularization and optimization to improve accuracy. The method is tested on datasets from the three sectors to classify customers as churners or non-churners. The paper finds that adding regularization and optimization to logistic regression enhances its performance in customer churn prediction.
Management Assignment Help | by Onlineassignment.NetOnline
The document discusses implementing new technology and quantitative evaluation techniques at XYZ Construction. It provides an assignment to analyze planning, implementing, and evaluating new technology to help the company transition to becoming publicly traded. It also asks to describe quantitative metrics that can be used to measure customer satisfaction, quality, EEO compliance, and market evaluation. The solution proposes using descriptive statistics and hypotheses testing to quantify these areas and outlines specific metrics for measuring service quality, customer satisfaction, and performance.
Management Assignment Help for students worldwide | by Onlineassignment.nOnline
Get your Homework / Assignments done by Experts at OnlineAssignment.Net
Online Assignment is an early pioneer of online tutoring and homework assistance , helping K-12, College and Graduate students succeed in their academics since 2003.
With expert tutors available 24/7, help is within reach when you need it most. Whether you are a parent looking for qualified tutoring on Math for your kid or a college student needing urgent assistance on your difficult case study you need to submit in tomorrow, you need to look no further than OnlineAssignment. Our affordable, expert tutors have helped over 200,000+ students understand their difficult assignment problems or prepare for an upcoming exam.
Get your homework done by experts.
We’re faster than your Deadlines.
Website: www.Onlineassignment.Net
Mail: homework@onlineassignment.net
Regards
Online Assignment
We at Online Assignment, embark upon providing high quality online education to our students who are spread all across the globe. Our endeavour is to help you realize your full potential by mentoring and guiding you through the process of doing your assignment.
We empower the academic knowledge and strength of the students and professionals by providing all possible academic assistance such as assignments help, homework help, project and research help, writing help in all the areas of studies broadly covered under Commerce, Arts, Science and Computers.
Homework Help | Assignment Help | Project Help | Online Tutoring | Math Help | Programming Help |
Visit : www.onlineassignment.net
Investment banks recognize the need to digitize in order to generate new revenue sources but face challenges in defining digital strategies. The document discusses four key challenges investment banks face in becoming digital businesses: 1) Enabling seamless collaboration through tools like Salesforce Chatter. 2) Providing faster data and insights to clients through real-time risk analysis. 3) Creating a unified view of collateral management across business units. 4) Strengthening security measures like active defense as digital transformation increases risks. The document argues investment in areas like analytics, mobility, cloud computing, and security are required for investment banks to deliver rich digital experiences and remain competitive.
The document provides information about Tata Consultancy Services (TCS), a large Indian IT services company. It discusses TCS's services including IT services, business solutions, and outsourcing. It also lists the top 10 global IT service providers and notes that TCS's rank has improved from 24 to 21. Emerging technologies discussed include user experience, data-driven decisions, and cloud computing implications. The document also covers changing customer expectations in IT outsourcing and how TCS manages customer expectations through analyzing, setting, and managing them over the life of a project.
An intuitive CRM Application fosters usability and user experienceUSECON
Business success today is defined increasingly by the building and effective management of all customer relationships. Successful CRM systems map customer-relevant business processes for sales, marketing, and service.
CRM analytics help telecom companies understand customer behavior and needs through collecting and analyzing customer data. This allows companies to increase customer retention, reduce churn, improve cross-selling opportunities, and enhance customer experience. T-Mobile uses CRM analytics to identify influential customers within social networks to improve marketing and reduce churn. Airtel also implemented an Oracle CRM system to centralize customer data and provide consistent service across multiple call centers.
The document discusses strategic customer relationship management (CRM). It defines strategic CRM and its key components, including customer management orientation, integration and alignment of organizational processes, and information capture and alignment of technology. It also presents a case study of IBM's CRM implementation, which delivered $2 billion in cost reductions and other benefits through an integrated process enabled by CRM. The summary discusses the key aspects and lessons from IBM's large-scale CRM implementation.
Key takeaways from the Gartner Magic Quadrant for the CRM Customer Engagement...Creatio
Bpm'online has been included in the Gartner CRM Customer Engagement Center Magic Quadrant, 2015.
Report Highlights:
- Through 2018, an ecosystem of at least five vendors will be required to build the ideal customer engagement center (CEC), the core of which will be an intelligent CRM case management system.
- Great diligence must be shown by IT leaders working on customer service projects.
- To support customers, some interactions will remain human-assisted, while far more will be automated, and some will require customer self-service through search tools or social media channels.
MBA Projects, synopsis, and synopsis of various regular as well as distance learning undergraduate and postgraduate courses for various institutions like SMU – Sikkim Manipal University, SMUDE, AIMA, AMITY, IGNOU, SCDL, JAMIA, AMU, JHU etc.
Similar to Employee Performance and CRM Analysis of UCI Dataset using Machine Learning Approach (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.