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Pages:
2 pages/≈550 words
Sources:
1 Source
Style:
APA
Subject:
Management
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 9.72
Topic:

Summary of the Equifax Seminar

Essay Instructions:

Executive summaries for industry speakers
Here is the link:
https://wustl(dot)zoom(dot)us/rec/play/MJsJ36kkY4VnFCO9jplB937snoY9_yLwcnkuDF_0yJm4omsBNnNcbnOhl4-JsU6D5cUhKBB_aEwt5oFH._PTp_E8yrX2Gb618?continueMode=true&_x_zm_rtaid=mUbLZwUVTAeIZIlcCCP0wA.1644393635164.7f0103da5e5819ea1347347b938f233c&_x_zm_rhtaid=535

Essay Sample Content Preview:
        Equifax Seminar   Student Name Instructor Name Institutional Affiliation Course Number and Name Due Date    
Equifax Seminar The OMM 500F-SP22 Industry Seminar was held on 8th February 2022 and was hosted by Washington University on Zoom. The key speakers were senior managers at Equifax, an American global consumer credit reporting company that serves more than 800 million individual consumers and 88 million corporates. The seminar was primarily based on business data analysis, where the speaker provided insights on compliance, unemployment, and verification services. The keynote speaker was Linda Liu, a leading strategic analyst at Equifax, while the other panelists were Kevin Qian, Ivy Xu, and Lehao Zyu. Professor Sergio Chayet offers Linda Liu the opportunity to introduce and lead the seminar’s undertakings and elaborate on the topic at hand. Linda started on Equifax Workforce Solutions, a business unit that provides income and employment verification, human resource compliance, analytic technology, and compliance services. Their business model encompasses consumer activity in government services, communications, credit, transportation, healthcare, loan repayment, mortgages and rent, new jobs, and student loans (Washington University, 2022). The data analysis unit of the organization involves an analytical consultant, data scientists, and data engineers that offer data science and analytical services, identify opportunities, and provide solutions. Data analysis entails four broad elements, which are procedural and include; descriptive research, diagnostic analytics, predictive analytics, and prescriptive analytics. Linda is an expert in predictive analytics (PA), and she outlined that it involves PA in government services, supply chain, and financial services. For the case of Netflix, she indicates that their system filters user login information on particular products into mathematical equations and then provides recommendations. Presc...
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