Define CRM and SCM systems by describing their characteristics and components, explain each of the two main types of data analytics that exist – descriptive and predictive – including how each works. Critically evaluate how, and for which purposes, data analytics can be applied in conjunction with CRM and SCM systems. Refer to concepts learned in class and use examples to illustrate your arguments.

Q: Discuss the advantages and limitations of using mixed-methods research in data analysis. Provide a…

A: Qualitative research methods explore and understand the complex phenomena and behaviors of…

Q: use predictive analytics within their CRM systems to forecast customer behavior and optimize their…

A: CRM (Customer Relationship Management) is a comprehensive strategy and approach aimed at building,…

Q: Outline the most important uses of computer technology in marketing research. Important uses of…

A: Marketing involves customer identification as well as selling goods or services to that customer…

Q: what are the benefits of running a markerting analysis?

A: The term marketing analysis describes the act of examining and understanding several aspects of a…

Q: Explain the concept of predictive analytics in CRM. How can predictive models help businesses…

A: Predictive analytics in Customer Relationship Management (CRM) is a robust method employed to…

Q: From the Research Topic and Questions below from the Methodology in Data Analysis and interpretation…

A: Human Resource Management (HRM) is the skilled practice of balancing the goals of a company with the…

Q: If Mr. Ishaq is the Director of Lexus Company in Nizwa, what does he need to do to predict customer…

A: ANSWER IS AS BELOW:

Q: What more may be done, in addition to these measures, to ensure the validity of the data that is…

A: Valid data is essential for making sound decisions in any field. As such, it is critical to ensure…

Q: 2. What do we do and how do we use data to improve customer experiences?

A: The positive customer experience is very important for the organization due to below mentioned…

Q: What exactly is enterprise data modeling?

A: An Enterprise data model is a visual representation, or graph, of a business enterprise data. It…

Q: Explain the meaning of business analytics and its role in generating value from data. Distinguish…

A: Business analytic helps in developing new insight and also assist in understanding the business…

Q: Explain the importance of an ethical approach for data analysis and business decision making. Then,…

A: All the parts are explained below in detail:

Q: Netflix decided to distribute the show "Orange is the New Black".  This decision was because  the…

A: Data analytics is a process of inspecting, transforming and modelling information. The main goal of…

Q: Research Problem/Question/Hypothesis Write a clear Purpose/Aim and Objectives of the Study.…

A: Statement of the Problem:The issue of increasing environmental degradation because of the…

Q: A bank manager notices that by the time customers get to the teller,they seem irritated and…

A: Customer- A person or organization that buys products or services from another organization is…

Q: Discuss the principles of data warehousing in a business intelligence context. How does a data…

A: Data warehousing now plays a crucial role in the quickly changing business intelligence landscape.…

Q: Explain the concept of data modeling in the context of data warehousing, including the various…

A: Data modeling in the context of data warehousing is the process of designing the structure and…

Q: Provide an explanation of the operation of predictive analytics and a practical application of the…

A: The practice of using data to predict future outcomes is known as predictive analytics. To uncover…

Q: What may possibly occur if indexing decisions are made incorrectly?

A: Indexing is a crucial process in information management and retrieval systems. The main purpose of…

Q: What is the role of distributed data warehousing in business intelligence and analytics? Provide…

A: In the modern business landscape, data has become a critical asset, and harnessing its power is…

Q: Identify and explain 3 advantages and 3 disadvantages of business analytics.

A: Introduction Business analytics is the study of skills, innovations, and techniques for the…

Q: Describe the principles of data warehousing and how they relate to data modeling. What are the…

A: The ideas behind data warehousing and data modelling are essential for large organisations to use…

Q: Which type of data analysis and research design (quantitative) can be applied to the following…

A: The objective of the question is to identify the appropriate quantitative data analysis and research…

Q: To carry out their analysis, planning, implementation, and control responsibilities, marketing…

A: A Marketing Information System of a company can be described as a system which interprets the…

Q: Which business research analysis assesses relationships between continuous data outputs and discrete…

A: Research is an organized and planned method of finding answers to the questions. It is a long…

Q: What is the role of OLAP (Online Analytical Processing) in data warehousing? How does it enable…

A: Please find the answer below.OLAP (Online Analytical Processing) :- OLAP is a computer-based data…

Q: What is the difference between exploratory data analysis (EDA) and hypothesis testing in the context…

A: Data exploration and analysis are essential steps in every machine learning or data mining process.…

Q: Discuss the use of data cubes and multidimensional modeling for advanced analytics in data…

A: A data cube is a multidimensional database technology that enables users to perform query or…

Q: How does predictive analytics benefit CRM? Give examples of predictive analytics models used in CRM…

A: In the present-day competitive business environment, customer relationship management (CRM) holds a…

Q: give three examples for each domain. 1.Cohort analytics 2.Cyber analytics 3.Financial service…

A: Cohort analysis:-  1. Determine the time interval of monitoring a cohort:- The cohort data in cohort…

Q: Explain the role of OLAP (Online Analytical Processing) in data warehousing. How does it support…

A: Online analytical processing (OLAP) is a software technology that may be used to examine corporate…

Q: Define the concept of a data warehouse and explain its significance in the field of business…

A: In the contemporary data-centric corporate environment, enterprises continuously amass extensive…

Q: MIS provides a variety of information products to managers. Discuss the major reporting alternatives…

A: MIS is short and an abbreviated way of "Management Information Systems". This information system has…

Q: Describe the concept of predictive analytics in CRM. How can predictive analytics be leveraged to…

A: In predictive analytics which is part of data analytics customers historical data, machine learning…

Q: corporate data modeling and how does it work

A: The procedures of providing a clear image of an entire information system or parts of it so as to…

Q: Paraphrase this one. Analyze and elaborate in 85 words. Regression analysis data also helps you…

A: Data-driven decision-making refers to the process of using quantitative and qualitative data to…

Q: Explore the use of data warehousing in supporting geospatial data analysis and its applications in…

A: Geospatial data analysis has become essential in fields like logistics and mapping, where…

Q: What areas of the World do they operate in and describe a project they've undertaken or are…

A: Some of the world's largest and most inventive corporations are located in North America. Here, we…

Q: Discuss the ethical considerations surrounding the use of CRM data, including privacy concerns and…

A: CRM stands for Customer Relationship Management. It is an essential methodology and…

Q: iptive data analytic model? How are the two related or how are they different? Give example of each.

A: productivity analysis and prescriptive data analytic model

Q: Consider talking about the idea of a data warehouse with a group of potential customers. What is the…

A: A data warehouse is a centralized and integrated repository of structured, semi-structured, and…

Forecasting

Forecasting is a methodology that uses historical data as inputs to make well-informed predictions about the course of future trends. Forecasting is the method of making forecasts based on historical and current data, most commonly by trend analysis. In the business world, forecasting is a basic statistical task. Forecasting is used by businesses to decide how to allocate their budgets or prepare for expected expenditures in the future. Forecasts help managers formulate and execute production plans by providing forecasts. The primary goal of forecasting is to make accurate predictions.