Customer Relationship Management
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Enterprise Information Management (EIM): the Hidden Secret to Peak Business Performance
Enterprise Information Management (EIM): The Hidden Secret to Peak Business Performance A White Paper by Vincent Lam and JT Taylor Table of Contents 1 EIM: What It Is and Why It Matters 1 Customer Service 1 Marketing Opportunities 2 Process Improvement 2 Regulatory Compliance 2 Fraud Detection 3 EIM: The Challenges 3 The Enterprise Information Lifecycle 4 Upstream 4 Instream 5 Downstream 6 Formulating Your EIM Strategy: Key Points to Consider 6 Unlimited Data Access 6 End-to-End Data Management and Quality Control 6 Maximum Flexibility 7 The iWay EIM Suite: True Enterprise-Wide Information Management 7 Unparalleled Data Quality Management 10 Comprehensive Master Data Management 13 The Broadest Information Reach 13 Multiple Levels of Information Latency 13 Laying the Foundation for Critical Information-Integration Initiatives 16 Conclusion EIM: What It Is and Why It Matters Over the past decade, organizations of all types and sizes have experienced significant growth in the volume of business information they generate and maintain. That information and the technology architectures that house it have also become increasingly complex. The Butler Group, a division of Datamonitor, estimates that approximately 80 percent of vital business information is currently stored in unmanaged repositories, making its efficient and effective use a nearly impossible feat. Enterprise information management (EIM) is a strategic business discipline that combines many of the key principles of enterprise integration, business intelligence (BI), and content management to streamline and formalize the activities associated with data storage, access, and handling. Comprehensive EIM initiatives blend processes and technologies to significantly improve the way information is managed and leveraged across a company. -
The State of Marketing Automation in 2020 CONTENTS
whitepaper The State of Marketing Automation in 2020 CONTENTS Foreword..........................................................................................3 Executive summary ........................................................................5 Introduction .....................................................................................8 About the report authors ............................................................. 11 State of adoption of marketing automation ...............................12 Drivers and drawbacks of automation ........................................20 Managing marketing automation ................................................23 Managing B2B Marketing Automation in 2020 © Smart Insights (Marketing Intelligence) Limited. Please go to www.smartinsights.com to feedback or access our other guides. 2 FOREWORD Much as last year, I would like to begin by thanking everyone that took part in our survey. As always your comments and recommendations continue to provide vital feedback and help us to make our annual report as useful and insightful as it can possibly be. As a marketing automation and lead generation provider, we are constantly striving to understand the ever-changing developments in the marketing automation industry. By reviewing the trends that have developed over the past 12 months, observing what has performed well and changes we believe will take off in the months and years to come, we can not only improve our platform but share with you a report that will hopefully illuminate future practices -
Secure Collaborative Planning, Forecasting, and Replenishment (SCPFR)
Secure Collaborative Planning, Forecasting, and Replenishment (SCPFR) Mikhail Atallah* · Marina Blanton* · Vinayak Deshpande** Keith Frikken* · Jiangtao Li* · Leroy B. Schwarz** * Department of Computer Sciences ** Krannert School of Management Purdue University West Lafayette, IN 47907 May 30, 2005 Extended Abstract 1. Introduction It is well known that information-sharing about inventory levels, sales, order-status, demand forecasts, production/delivery schedules, etc. can dramatically improveme supply-chain per- formance. Lee and Whang (2000) describe several real-world examples. The reason for this improvement, of course, isn’t information-sharing, per se, but, rather, because shared infor- mation improves decision-making. However, despite its well-known benefits, many companies are averse to sharing their so-called “private” information, fearful that their partner(s) or competitor(s) will take advantage of it. Secure Multi-Party Computation (SMC) provides a framework for supply-chain partners to make collaborative forecasts and/or collaborative decisions without disclosing private in- formation to one another; and, most important, without the aid of a “trusted third party”. SMC accomplishes this through the use of so-called protocols. An SMC protocol involves theoretically-secure hiding of private information (e.g., encryption), transmission, and pro- cessing of hidden private data. Since private information is never available in its original form (e.g., if encryption is used to hide the data, it is never decrypted), any attempt to hack or misuse private information is literally impossible. In our research, we apply SMC protocols to facilitate collaborative forecasting and inventory-replenishment decisions between a single supplier and a single retailer. The model is an extension of Clark and Scarf (1960). -
“Human Resource Management Practices and Total Quality Management in Insurance Companies: Evidence from Jordan”
“Human resource management practices and total quality management in insurance companies: Evidence from Jordan” Naser Khdour https://orcid.org/0000-0002-3044-8792 Ahmad Samed Al-Adwan https://orcid.org/0000-0001-5688-1503 AUTHORS http://www.researcherid.com/rid/E-3546-2019 Anas Alsoud https://orcid.org/0000-0002-1410-8843 Jamal Ahmed Al-Douri https://orcid.org/0000-0001-6508-5373 Naser Khdour, Ahmad Samed Al-Adwan, Anas Alsoud and Jamal Ahmed Al- ARTICLE INFO Douri (2021). Human resource management practices and total quality management in insurance companies: Evidence from Jordan. Problems and Perspectives in Management, 19(1), 432-444. doi:10.21511/ppm.19(1).2021.36 DOI http://dx.doi.org/10.21511/ppm.19(1).2021.36 RELEASED ON Monday, 29 March 2021 RECEIVED ON Wednesday, 25 November 2020 ACCEPTED ON Tuesday, 16 March 2021 LICENSE This work is licensed under a Creative Commons Attribution 4.0 International License JOURNAL "Problems and Perspectives in Management" ISSN PRINT 1727-7051 ISSN ONLINE 1810-5467 PUBLISHER LLC “Consulting Publishing Company “Business Perspectives” FOUNDER LLC “Consulting Publishing Company “Business Perspectives” NUMBER OF REFERENCES NUMBER OF FIGURES NUMBER OF TABLES 57 0 6 © The author(s) 2021. This publication is an open access article. businessperspectives.org Problems and Perspectives in Management, Volume 19, Issue 1, 2021 Naser Khdour (Jordan), Ahmad Samed Al-Adwan (Jordan), Anas Alsoud (Jordan), Jamal Ahmed Al-Douri (Jordan) Human Resource BUSINESS PERSPECTIVES LLC “СPС “Business Perspectives” Management Practices and Hryhorii Skovoroda lane, 10, Sumy, 40022, Ukraine Total Quality Management www.businessperspectives.org in Insurance Companies: Evidence from Jordan Abstract This study aims to extend the argument about the association between HRM and Total Quality Management (TQM) in insurance companies in Jordan. -
Project Information Management PROJECT MANAGEMENT for DEVELOPMENT ORGANIZATIONS Project Information Management
pm4dev, 2016 –management for development series © Project Information Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS Project Information Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS A methodology to manage development projects for international humanitarian assistance and relief organizations © PM4DEV 2016 Our eBook is provided free of charge on the condition that it is not copied, modified, published, sold, re-branded, hired out or otherwise distributed for commercial purposes. Please give appropriate citation credit to the authors and to PM4DEV. Feel free to distribute this eBook to any one you like, including peers, managers, and organizations to assist in their project management activities. www.pm4dev.com Project Information Management INTRODUCTION “If you fail to plan, you plan to fail.” “.. A major weakness is the ability of project staff to utilize their logframe for designing a coherent and integrated, overall information system, where a manageable and limited number of feasible information activities are planned, which together will ensure that effective effect and impact level monitoring will occur. It is typical for projects to end up collecting too much rather than too little information. Frequently though, much of this information is not relevant to monitoring the results and impacts for which the project is accountable, and that which is, is not collected sufficiently reliably or regularly. By restricting the number, but improving the quality and reliability of their major information gathering activities, projects will much improve their information systems.” CARE International EDIAIS Case Study Project Information Management Plan Detailed planning is critical to the development of usable, high quality information deliverables that meet the needs of internal and external information users. -
Information Management Strategy I Table of Contents
information management strategy i Table of Contents 02 Message from the DM 03 Strategic Alignment 04 The Vision 05 Executive Summary 06 Introduction WHAT IS INFORMATION? WHAT IS INFORMATION MANAGEMENT? WHY IS INFORMATION MANAGEMENT IMPORTANT FOR THE GOA? 08 Business Drivers 11 Strategic Goals GOAL ONE. GOAL TWO. GOAL THREE. 14 Moving Forward 15 Acknowledgements 16 Glossary Message from the DM Service Alberta is focused on working collaboratively to foster an open, transparent, accountable and participatory government. We recognize that information, along with people, finances and infrastructure, are key strategic resources in the Government of Alberta, and are at the very core of our operations. Service delivery activities, decision-making, policy development and planning activities are all founded on information. The quality, reliability and integrity of information are critical to good-decision making in the government. Proper management of information will transform the delivery of program and service outcomes, protecting Albertans from information security and privacy risks. This will help ensure that the needs of Albertans are met through efficient and effective operations. The Information Management Strategy creates the foundation we need to continually improve, transform and increase information sharing, accountability and transparency in the government. It articulates a clear vision with three goals that address key business drivers, and works toward promoting effective and innovative information management practices within the -
The Impact of Information Technology on Supply Chain Performance: a Knowledge Management Perspective
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by The University of North Carolina at Greensboro THE IMPACT OF INFORMATION TECHNOLOGY ON SUPPLY CHAIN PERFORMANCE: A KNOWLEDGE MANAGEMENT PERSPECTIVE by Yuan Niu A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology Charlotte 2010 Approved by: _______________________________ Dr. Chandrasekar Subramaniam _______________________________ Dr. Antonis Stylianou _______________________________ Dr. Sungjune Park _______________________________ Dr. Arun Rai _______________________________ Dr. Thomas Stevenson ii © 2010 Yuan Niu ALL RIGHTS RESERVED iii ABSTRACT YUAN NIU. The impact of information technology on supply chain performance: a knowledge management perspective (Under direction of DR. CHANDRASEKAR SUBRAMANIAM AND DR. ANTONIS STYLIANOU) Supply chain management has become an increasingly important management tool to help organizations improve their business operations. Although information and communication technologies have been used extensively in supply chains, there is a lack of systematic evidence regarding the mechanisms through which IT creates value. Furthermore, as supply chain objectives are going beyond operational efficiency towards pursuing higher-order goals, such as understanding the market dynamics and discovering new partnering arrangements to provide greater customer value, the capabilities -
Earned Value Management Tutorial Module 6: Metrics, Performance Measurements and Forecasting
Earned Value Management Tutorial Module 6: Metrics, Performance Measurements and Forecasting Prepared by: Module 6: Metrics, Performance Measurements and Forecasting Welcome to Module 6. The objective of this module is to introduce you to the Metrics and Performance Measurement tools used, along with Forecasting, in Earned Value Management. The Topics that will be addressed in this Module include: • Define Cost and Schedule Variances • Define Cost and Schedule Performance Indices • Define Estimate to Complete (ETC) • Define Estimate at Completion (EAC) and Latest Revised Estimate (LRE) Module 6 – Metrics, Performance Measures and Forecasting 2 Prepared by: Booz Allen Hamilton Review of Previous Modules Let’s quickly review what has been covered in the previous modules. • There are three key components to earned value: Planned Value, Earned Value and Actual Cost. – PV is the physical work scheduled or “what you plan to do”. – EV is the quantification of the “worth” of the work done to date or “what you physically accomplished”. – AC is the cost incurred for executing work on a project or “what you have spent”. • There are numerous EV methods used for measuring progress. The next step is to stand back and monitor the progress against the Performance Measurement Baseline (PMB). Module 6 – Metrics, Performance Measures and Forecasting 3 Prepared by: Booz Allen Hamilton What is Performance Measurement? Performance measurement is a common phrase used in the world of project management, but what does it mean? Performance measurement can have different meanings for different people, but in a generic sense performance measurement is how one determines success or failure on a project. -
The Relationship Between Customer Relationship Management Usage, Customer Satisfaction, and Revenue Robert Lee Simmons Walden University
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Walden University Walden University ScholarWorks Walden Dissertations and Doctoral Studies Walden Dissertations and Doctoral Studies Collection 2015 The Relationship Between Customer Relationship Management Usage, Customer Satisfaction, and Revenue Robert Lee Simmons Walden University Follow this and additional works at: https://scholarworks.waldenu.edu/dissertations Part of the Business Commons This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Walden University College of Management and Technology This is to certify that the doctoral study by Robert Simmons has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. Ronald McFarland, Committee Chairperson, Doctor of Business Administration Faculty Dr. Alexandre Lazo, Committee Member, Doctor of Business Administration Faculty Dr. William Stokes, University Reviewer, Doctor of Business Administration Faculty Chief Academic Officer Eric Riedel, Ph.D. Walden University 2015 Abstract The Relationship Between Customer Relationship Management Usage, Customer Satisfaction, and Revenue by Robert L. Simmons MS, California National University, 2010 BS, Excelsior College, 2003 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Business Administration Walden University September 2015 Abstract Given that analysts expect companies to invest $22 billion in Customer Relationship Management (CRM) systems by 2017, it is critical that leaders understand the impact of CRM on their bottom line. -
Resource Management?
Resource Management? “I’ve got Excel and half a day a week thank you very much. What do I need to know?” Presented by David Dunning, Director, Corporate Project Solutions Your Speaker Today David Dunning • Professional Services Director at CPS • Over 15 years experience in implementing portfolio, programme and project management ecosystems. • Member of the Institute of Business Consulting, APM Portfolio SIG and a Certified Management Consultant. • Real world P3M experience across multiple industries. CPS Is…. 400 + Years of Project Technology Services Consulting experience 200+ Industry Enterprise Accreditations P3O / APMG, ACO, Project Recruitment ISO9001 P3M Management 200+ EPM and Consulting Implementations SharePoint Training Technology 20+ Security cleared consultants 11,000+ Business Users trained Support Process Intelligence Agenda Definition • Definition – what do I mean by that? Challenges • Why is life not simple? Answers • The Answers HOW? • How on earth…. END • Conclusions What is Resource Management? “In organizational studies, resource management is the efficient and effective deployment for an organization's resources when they are needed” http://en.wikipedia.org/wiki/Resource_management Definition Organisational Context – not a local issue Definition Mubeena (2010) Organisation Design and Structure [online] Available at: http://www.slideshare.net/mubeena/org-design [Accessed 14 April 2010] Organisational Context • Line • Product • Matrix Definition Mubeena (2010) Organisation Design and Structure [online] Available at: -
Are Forecasting Models Usable for Policy Analysis? (P
Federal Reserve Bank of Minneapolis Are Forecasting Models Usable for Policy Analysis? (p. 2) Christopher A. Sims Gresham's Law or Gresham's Fallacy? (p.17) Arthur J. Rolnick Warren E. Weber 1985 Contents (p. 25) Federal Reserve Bank of Minneapolis Quarterly Review Vol. 10, No. 1 ISSN 0271-5287 This publication primarily presents economic research aimed at improving policymaking by the Federal Reserve System and other governmental authorities. Produced in the Research Department. Edited by Preston J. Miller, Kathleen S. Rolfe, and Inga Velde. Graphic design by Phil Swenson and typesetting by Barb Cahlander and Terri Desormey, Graphic Services Department. Address questions to the Research Department, Federal Reserve Bank, Minneapolis, Minnesota 55480 (telephone 612-340-2341). Articles may be reprinted if the source is credited and the Research Department is provided with copies of reprints. The views expressed herein are those of the authors and not necessarily those of the Federal Reserve Bank of Minneapolis or the Federal Reserve Systemi Federal Reserve Bank of Minneapolis Quarterly Review Winter 1986 Are Forecasting Models Usable for Policy Analysis?* Christopher A. Sims Professor of Economics University of Minnesota In one of the early papers describing the applications of and, in a good part of the economics profession, has the vector autoregression (VAR) models to economics, position of the established orthodoxy. Yet when actual Thomas Sargent (1979) emphasized that while such policy choices are being made at all levels of the public models were useful for forecasting, they could not be used and private sectors, forecasts from these large models, for policy analysis. -
Field of Human Resource Management
1 Field of Human Resource Management Adrian Wilkinson, Tom Redman, Scott A. Snell and Nicolas Bacon The purpose of this chapter is to outline organizations, the mantra of ‘people are our some of the key elements of human resource most valuable asset’ has largely been a management (HRM), and to introduce our rhetorical one in most organizations; and the framework for this volume. The field of HRM research evidence has often not backed it continues to evolve in today’s organizations, up (cf., Snell, Shadur, and Wright, 2002). in part due to the economic, technological, Historically, organizations have not rested and social realities that influence the nature of their fortunes on human resources. The HR business. In a global economy, a wide range of function remains among the least influen- factors—that vary from global sourcing and tial in most organizations, and competitive labor arbitrage to regional trade agreements strategies have not typically been based and labor standards to cultural differences on the skills, capabilities, and behaviors of and sustainability to strategic alliances and employees. In fact, the harsh reality is that innovation—all point to the vital nature of labor is still often viewed merely as a cost HRM. In large part this is because from a to be minimized, particularly in tough times. strategic standpoint, observers have noted that Executives have more often tried to minimize traditional sources of advantage such as access the impact of employees on performance by to capital, protected markets, or proprietary substituting capital for labor where possible, technologies are rapidly eroding, and that and designing bureaucratic organizations that survival depends more often on the ability to separate those who think from those who innovate, adapt, and learn, and transfer that actually do the work (Snell, Youndt, and learning globally.