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Case studies can be extremely beneficial, considering it provides insight and serves as a reference guide for future issues. It is somewhat of a contingency plan, offering a plan of action should your company experience a similar situation. I have examined many case studies, and as a consultant it is vital to my business. My clients expect me to be an expert in my field, which means I should know the answers to whatever questions they may have for me. Credibility and expertise is what every client, customer, and consumer expect from the company they employ to provide services and products to them.
Case studies are one of the most valuable tools that modern businesses possess for improving their daily operations. However, their true value is only apparent when the studies are performed correctly.
Case studies are valuable because they can help in creating a buyer persona - a realistic example of the company's typical customer. These personas help companies answer questions about their daily activities, such as:
· Will this service or result appeal to the customers we're trying to bring in?
· Are people likely to become repeat customers as a result of our efforts?
· What can we change to help improve our bottom line?
· Are there any products or services that should be added or discarded?
Some companies have other uses for case studies - chain stores, for example, can often benefit from an internal study on how well new stores perform in various demographic regions putting a high value on the importance of case studies. There is no single benefit to case studies that applies across every business, but most businesses will find at least some value in them.
The main objective of Case Studies in Business, Industry and Government Statistics - CSBIGS is to publish high-quality case studies in modern data analysis ready to use for instruction, training or self-study. The case studies consist of an innovative and interesting well-written presentation of novel statistical techniques applied to known data or of known statistical techniques applied to novel data. The journal is designed to be of interest to anyone wishing to teach or learn modern data analysis - in academic as well as business, industry or government environments.
The peer-reviewed journal serves as a forum for writers of data analysis case studies from any environment where statistical analysis is used. As such the journal both fosters a better communication between these different environments and helps improve statistical training overall.
In particular, CSBIGS encourages consultants to submit their work. In this manner, the commissioning party will receive peer reviewed research, ensuring that the quality of the statistical work commissioned is of the latest international scientific standard. If the commissioning party so wishes, the research published can be rewritten by authors to preserve the privacy and anonymity of the commissioning party. To ensure confidentiality, the Editorial board will sign a non disclosure statement if requested (in cases where the true identity of the commissioning party is known to the Editorial Board).
The journal seeks to achieve a balance between originality and accessibility in its case studies. In order to facilitate usability, each article identifies its intended audience and makes available to readers in electronic form a data set - which can be a subset of that used in the case study, masked if necessary for confidentiality - to be used to apply the methods presented in the article. The case studies also gives sufficient instructions about the software needed for readers to run the analyses.
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