標(biāo)題: Titlebook: Data Science and Analytics for SMEs; Consulting, Tools, P Afolabi Ibukun Tolulope Book 2022 Afolabi Ibukun Tolulope 2022 Data Science.Busin [打印本頁] 作者: 營養(yǎng)品 時間: 2025-3-21 18:37
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書目名稱Data Science and Analytics for SMEs讀者反饋
書目名稱Data Science and Analytics for SMEs讀者反饋學(xué)科排名
作者: atrophy 時間: 2025-3-21 23:38 作者: 藐視 時間: 2025-3-22 02:01 作者: 時代 時間: 2025-3-22 05:28
Business Analytics Consulting Phases,within or outside the business. We will look at the proposal and initial stages of analysis that gives direction to the analytics project. Then we look at the details involved in the pre-engagement, engagement, and post-engagement phases. It is important to know that the stages are presented in a ty作者: Commemorate 時間: 2025-3-22 09:55
Descriptive Analytics Tools,will help to use descriptive analytics tools to understand your business and make recommendations that can improve your business profits. For small businesses, descriptive analytics helps SMEs to make sense of available data to monitor business indicators at a glance, help SME owners observe sales t作者: 直覺沒有 時間: 2025-3-22 15:29 作者: 直覺沒有 時間: 2025-3-22 18:15
Classification Techniques,ain. In doing this, we will use the third business problem centered on customer loyalty using neural networks, classification trees, and random forest algorithms. In solving this problem, we are particular about how to get and retain more customers for our small business. We will also introduce some作者: 合法 時間: 2025-3-23 00:39 作者: assent 時間: 2025-3-23 05:22 作者: ellagic-acid 時間: 2025-3-23 05:56 作者: implore 時間: 2025-3-23 11:39 作者: interrogate 時間: 2025-3-23 17:53 作者: Colonnade 時間: 2025-3-23 18:18
https://doi.org/10.1007/978-3-319-32653-5We then give a detailed explanation of the process involved in business analytics in the form of the business analytics journey. In this journey, we explain what it takes from start to finish to carry out an analytics project in the business world, focusing on small business consulting, even though 作者: 投票 時間: 2025-3-23 23:11 作者: CHYME 時間: 2025-3-24 03:01
Springer Proceedings in Complexitylain the types of business analytics consulting that exist and then narrow them down to how to navigate the world of business analytics consulting for small businesses. In this chapter, we will look at how to manage a typical analytics project and measure the success of analytics projects. In conclu作者: Bother 時間: 2025-3-24 06:54
Comparison, Diversity and Complexitywithin or outside the business. We will look at the proposal and initial stages of analysis that gives direction to the analytics project. Then we look at the details involved in the pre-engagement, engagement, and post-engagement phases. It is important to know that the stages are presented in a ty作者: tinnitus 時間: 2025-3-24 11:13
Africa: Globalisation and the Ethicalwill help to use descriptive analytics tools to understand your business and make recommendations that can improve your business profits. For small businesses, descriptive analytics helps SMEs to make sense of available data to monitor business indicators at a glance, help SME owners observe sales t作者: 正面 時間: 2025-3-24 16:25
Africa: Globalisation and the Ethicale techniques is to use them in solving a business problem. The business problem to be addressed is the sales prediction problem which is common in the retail business. The chapter first explains the fundamental concept of prediction techniques; next, we look at how such techniques are evaluated. Aft作者: 苦澀 時間: 2025-3-24 22:46
Mark Swilling,Pierre Roux,Amélie Guyotain. In doing this, we will use the third business problem centered on customer loyalty using neural networks, classification trees, and random forest algorithms. In solving this problem, we are particular about how to get and retain more customers for our small business. We will also introduce some作者: ACME 時間: 2025-3-25 02:04
Tanya de Villiers-Botha,Paul Cilliers a type of unsupervised learning approach. We will then pick one clustering technique which is the k-means clustering. Using the fourth practical business problem, we will explain how we can use the k-means clustering technique to solve a real business problem. Next, we will explain the association 作者: Obloquy 時間: 2025-3-25 06:54
https://doi.org/10.1007/978-981-15-4806-2nd create a road map or an example of how to navigate a business analytics consulting project. We start with a description of the SME ecommerce environment generally, since this is the business environment of our selected case study; we then talk about the sources of data for analytics peculiar to t作者: 眨眼 時間: 2025-3-25 08:12 作者: 急急忙忙 時間: 2025-3-25 13:28 作者: 共同時代 時間: 2025-3-25 18:27
http://image.papertrans.cn/d/image/263077.jpg作者: enmesh 時間: 2025-3-25 20:14 作者: 神圣將軍 時間: 2025-3-26 01:47 作者: 頑固 時間: 2025-3-26 08:06 作者: 阻塞 時間: 2025-3-26 10:17 作者: 赦免 時間: 2025-3-26 15:57
Data for Analysis in Small Business,s and touches on data literacy. In addition, we will explain typical data preparation procedures for data analytics techniques. To conclude, we look at data visualization, particularly toward preparing data for various analytics tasks as explained in Section 1.3.作者: 創(chuàng)作 時間: 2025-3-26 19:02
Descriptive Analytics Tools,rends and patterns on an overall basis, and deep dive into product categories and customer groups. It also helps SMEs plan product strategy, pricing policies that will maximize their projected revenues and derive valuable insights for getting more customers.作者: harbinger 時間: 2025-3-26 23:15
Classification Techniques, other classification-based techniques such as K-nearest neighbor and logistic regression. In using these techniques to solve the problem, we explain the fundamental concepts in the chosen algorithms and use them to demonstrate how these problem solving processes can be adopted in real business scenarios.作者: 香料 時間: 2025-3-27 02:17
Advanced Descriptive Analytics,rule example and finally network analysis. We will focus the explanation of these techniques on solving business-related problems, particularly for small businesses, and conclude with the fifth business problem which is focused on using network analytics for employee efficiency.作者: accessory 時間: 2025-3-27 08:17 作者: 謙虛的人 時間: 2025-3-27 10:48 作者: 谷物 時間: 2025-3-27 17:37
Business Analytics Consulting, small businesses. In this chapter, we will look at how to manage a typical analytics project and measure the success of analytics projects. In conclusion, we will discuss issues revolving around how to bill analytics projects, particularly as a consultant.作者: Nonporous 時間: 2025-3-27 20:51
Business Analytics Consulting Phases,k at the details involved in the pre-engagement, engagement, and post-engagement phases. It is important to know that the stages are presented in a typical or generic way, but when implemented, there might be a reason to modify or customize them for the application scenario.作者: 拍翅 時間: 2025-3-27 23:39
Springer Proceedings in Complexitys and touches on data literacy. In addition, we will explain typical data preparation procedures for data analytics techniques. To conclude, we look at data visualization, particularly toward preparing data for various analytics tasks as explained in Section 1.3.作者: glisten 時間: 2025-3-28 05:53
Africa: Globalisation and the Ethicalrends and patterns on an overall basis, and deep dive into product categories and customer groups. It also helps SMEs plan product strategy, pricing policies that will maximize their projected revenues and derive valuable insights for getting more customers.作者: Metastasis 時間: 2025-3-28 06:42 作者: PLE 時間: 2025-3-28 13:53
Tanya de Villiers-Botha,Paul Cilliersrule example and finally network analysis. We will focus the explanation of these techniques on solving business-related problems, particularly for small businesses, and conclude with the fifth business problem which is focused on using network analytics for employee efficiency.作者: Enliven 時間: 2025-3-28 16:30
https://doi.org/10.1007/978-981-15-4806-2his environment. Next, we describe the business to be used as a case study briefly, followed by the analytics road map peculiar to consulting for this business. This chapter ends with the results of the initial analysis and pre-engagement phase which forms the basis for the detailed analytics and implementation phase in Chapter 10.作者: flaggy 時間: 2025-3-28 19:23 作者: troponins 時間: 2025-3-29 01:57 作者: 武器 時間: 2025-3-29 03:11
Springer Proceedings in Complexity small businesses. In this chapter, we will look at how to manage a typical analytics project and measure the success of analytics projects. In conclusion, we will discuss issues revolving around how to bill analytics projects, particularly as a consultant.作者: thrombosis 時間: 2025-3-29 10:33
Comparison, Diversity and Complexityk at the details involved in the pre-engagement, engagement, and post-engagement phases. It is important to know that the stages are presented in a typical or generic way, but when implemented, there might be a reason to modify or customize them for the application scenario.作者: HAIL 時間: 2025-3-29 11:37
