International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Business Analysis using Machine Learning Daya Mary Mathew1, Lokesh J2, Parthasarathy V3 1Assistant
Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamilnadu, India. 2-3Undergraduate student, Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamilnadu, India . ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The description and overview of the business
2. RELATED WORK
plan for any existing retail shop or franchise is an elaborate description of the entire business. It describes what exactly the business does, how it does it (sells products in a shoplocation of shop, area of shop, locality of shop, etc how it meets consumer wants, the specialized market or specific clients it serves, how it compares to competitors, what measures it takes, the corporate structure it follows, and so on. For demand forecasting and pricing, external data such as rival prices and weather conditions might be employed. Market and competition analyses are both included in the analysis. Market research and competitive analysis, as previously said, are critical to the success of a firm and must be conducted and documented in the business plan. The vital aspect to consider is choose the products that the shop should sell. The products to be sold at the venue must be decided in detail and mentioned in the business plan. Through machine learning will we analyze how much the quantity sold and what product sold at what time therefore this will be helpful to identify the profit in business.
1. Using a literature study and bibliometric analysis, proposed the research findings for an examination of the presence and evolution of the term Business Process Management (BPM) from 2000 to 2020. The goal of this study was to assess the number and quality of empirical support supporting the usage of this technology in businesses. This allowed the researchers to recognize and identify this discipline as an important study subject with a lot of potential for helping organizations achieve strategic alignment between business and ICT in the future. 2. The New Retail Business Analysis and Modeling was proposed. One of the most effective modes has been innovative retail. It is powered by information technology (big data, Internet of Things, artificial intelligence, etc.) and focuses on the user experience, as opposed to traditional business modes. It also reconstructs the essential features of online and offline commerce to create a new business mode. As a result, current business modelling tools are ineffective for analyzing and describing the new retail mode.
Key Words: competitive analysis, machine learning, analysis, business
1.INTRODUCTION
3. Contextual data has become a valuable asset in maximizing the value of information systems. The location of an event is an important type of context information that refers to where it takes place. The use of location-based analytics tools to enhance decision-making processes in company contexts is critical for business growth. However, following a thorough examination of the literature, we discovered that researchers and practitioners still lack a comprehensive characterization of location-based data analytics systems that have been successfully applied to business operations. This study summarizes the findings of a systematic literature review (SLR) in which we evaluated 168 location-based and business-oriented analytics solutions published between 2014 and 2019.
Business Analysis is the set of tasks, knowledge, and strategies required to become aware of commercial enterprise desires and decide answers to commercial enterprise problems. Although, the overall definition is similar, the practices and approaches can also range in numerous industries. In the Information generation industry, answers regularly consist of a structures improvement component, however, may include technique development or organizational change. Business evaluation can also be carried out to recognize the situation of a business enterprise or to function a foundation for the identity of commercial enterprise desires. In maximum cases, however, commercial enterprise evaluation is carried out to outline and validate answers that meets commercial enterprise desires, goals, or objectives.
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4. Proposed an illustration of the most recent results for a single business function's criticality ranking decision support classifier. The validated classifier is part of the business continuity points approach, which is based on the use case points method for measuring software complexity and assesses the recovery difficulty of an individual
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