Use of predictive analytics in Business
This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2022.
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| פורמט: | Internship report |
| שפה: | English |
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Brac University
2023
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| גישה מקוונת: | http://hdl.handle.net/10361/18266 |
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10361-182662023-05-10T21:01:49Z Use of predictive analytics in Business Raihana, Fabiha Shuvo, Mr. Shihab Kabir Brac Business School, Brac University Machine learning Predictive analytics CRMS ICT solutions Techno- commercial Data analysis Business forecasting--Mathematical models. Business forecasting--Data processing. This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2022. Cataloged from PDF version of internship report. Includes bibliographical references (page 66). The practice of gathering and evaluating behavioral customer data from a variety of channels, devices, and interactions is known as predictive analytics. These analytics provide the knowledge required to create strategies, goods, and services that your clients will be interested in using. The company may need to employ strategies like data gathering and segmentation, modeling, data visualization, and more for all kinds of consumer analytics. Any business should put its customers first. Businesses have implemented customer relationship management systems to enhance procedures involving client engagement. These systems gather a lot of consumer data, which is significant information that can help a company improve customer interactions and offerings. Customer analytics typically concentrate on recording what has occurred. However, it's critical to foresee what customers will want and how they will respond in order to be proactive and actually create a company's future. Any firm must have a thorough understanding of its customers as well as how its operations have fared in the past, present, and future. My assigned division Enterprise Business Solutions is continuously focusing on improving their customer relationship more utilizing technology. This study involves how they can do it more effectively using predictive customer analytics. Fabiha Raihana B. Business Administration 2023-05-10T08:12:07Z 2023-05-10T08:12:07Z 2022 2022-04 Internship report ID: 18304151 http://hdl.handle.net/10361/18266 en Brac University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 66 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Machine learning Predictive analytics CRMS ICT solutions Techno- commercial Data analysis Business forecasting--Mathematical models. Business forecasting--Data processing. |
| spellingShingle |
Machine learning Predictive analytics CRMS ICT solutions Techno- commercial Data analysis Business forecasting--Mathematical models. Business forecasting--Data processing. Raihana, Fabiha Use of predictive analytics in Business |
| description |
This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2022. |
| author2 |
Shuvo, Mr. Shihab Kabir |
| author_facet |
Shuvo, Mr. Shihab Kabir Raihana, Fabiha |
| format |
Internship report |
| author |
Raihana, Fabiha |
| author_sort |
Raihana, Fabiha |
| title |
Use of predictive analytics in Business |
| title_short |
Use of predictive analytics in Business |
| title_full |
Use of predictive analytics in Business |
| title_fullStr |
Use of predictive analytics in Business |
| title_full_unstemmed |
Use of predictive analytics in Business |
| title_sort |
use of predictive analytics in business |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/18266 |
| work_keys_str_mv |
AT raihanafabiha useofpredictiveanalyticsinbusiness |
| _version_ |
1814307653587828736 |