Equifax Business Analytics Report: Data, Security, and Implications

This report provides an overview of Equifax's business analytics, focusing on the uses of Equifax data and its implications. It explores internal and external data sources, expected outcomes such as identifying data breaches, and addresses ethical considerations, privacy, and potential conflicts of interest. The report discusses the data management framework used by Equifax, including the InterConnect cloud-based decision management platform, and the data policy framework emphasizing responsible data use and privacy. It also covers social and ethical considerations, data security measures like encryption and de-identification, and the outcomes of data breaches, including security vulnerabilities and privacy issues. The report concludes with a discussion of ethical applications of insights and references.

EQUIFAX – Introduction to Business
Analytics

Overview of project
Aim of project-
 To determine the uses of Equifax data and implication involved in the business analytics
process.
Sources of data internal and external-
 Internal :- Operations, finance, Personnel and maintenance
 External:- customers, competitors by using Questionnaires, Research & development

Cont.
Expected outcomes-
 The expected outcome is to identify the data breach occurs in the Equifax organization.
this kind of data breach is directly affecting the sensitive or confidential information of
consumers, organization.
Addressing ethics, privacy, potential conflicts of interest.
 Disclose all potential conflicts of interest
 Determine factors that can mitigate the actual conflict among consumer and organization
because of data breach

Implications for community and public
policy
 better security policies against viruses, malware, hacking, breaches, IP
 Share Share
 Share
[Equifax] DATASET
ANALYTICS, AI / ML
INSIGHTS

Usability
 Analysis is based on the process used by Equifax organization. this can be performed by
using efficient tool or framework in order to do analytical procedures. Afterwards, it will
support for generating accurate result or outcome. Sometimes, it can be organized large
amount of data within structured format.
 Equifax can use visualization tools such as Google analytics, Simulation and advanced
testing etc. these are beneficial for sharing information from one source to another in
proper manner.

The Data – Use, Maintenance, Security
 Equifax database system
 Equifax data breach- security and privacy issues
 renew encryption techniques

Data Management Framework at Equifax
 Equifax is used the data management framework such as
InterConnect cloud based decision management platform
that optimize decisioning and loan application lifecycles.
Sometimes, it is enabling applicable to approval in
seconds.
 InterConnect is a cloud based, plug and play decision
management that supports for managing the decision
policies and models effectively. Moreover, it is also
responds to market as per need or requirement.

Data Policy Framework
 Equifax is committed to responsibly and appropriately using personal data, striking a
balance between respecting individuals privacy.
 This company will used data protection policy in the workplace. this applicable for every
staff members, who are always tried to use sensitive information or data.
 Company has been maintained the transparency in data management and committed
towards privacy at all aspect of business

Social considerations
 Whenever, using the appropriate data or information by Equifax company which can
help for collecting and analyzing data to better server.
 Local communities are responsible for identifying every data societal which include
public safety.
 It provide the better opportunities for them to build insight and capacity to meet current
requirement and also prepare for future.

Ethical considerations
 By using data protection law, it including legislation that can provide the better facilities
to secure or protect sensitive information in proper manner.
 In context of ethical manner, it should collect or handle the personal data thereby
required to consider appropriate principles such as:

Cont.
 Transparency- processing personal data or information, implementing fairly, lawfully in
order to maintain a proper transparent effectively and efficiently.
 Data minimization- particular data or information shall be used a limited for purpose of
specific reason.
 Accuracy- Accurate way to maintain data and also rectified without any delay.

Transparency and accountability
There are different method or technique to keep safe data and also de-identify individuals.
 Deleting or masking personal identifiers such as personal name, contact number and date
of birth.
 By using username and password to reduce unauthorized accesses.