The Role of Date Segregation in a Data Economy

Recently, we’ve heard the term data thrown around a lot. Data science and handling have gained much traction in every sector. The internet boom has created a vast new opportunity across all platforms to engage with data.

A simple way to define data would be to understand it as information, especially facts or numbers that are collected to be examined and considered for decision-making, or information in an electronic form that can be stored and used by a computer.

Sample explanation of data about an object “A Green Square”


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An Overview of Data Segregation

The gathered information was segregated based on its traditional value to facilitate data access. Information/data regarding various shapes are recorded in a database table with parameters such as color and size. We divided the collected data into a few distinct groups based on a similar characteristic: shape.

Grouping of stored data based on a shared value “Shape “

Why Data Segregation is Important

Provides a security shield: It improves privacy and secures information.

Enables easy access to data: There is no need to search through data as the information is separated into small groups.

Time to reach the data: The time to search and find the separate data record is reduced.

Disaster recovery: As the data is already classified, the lost information can be easily retrieved.

Individual member/Item data security: One consumer cannot tamper with another consumer record having similar data.

Security Challenges with Data Segregation

Security Challenges in Data Authentication and Transfer

We face security challenges in these two major processes:

  • Data authentication
  • Data transfer

We can improve the system’s security significantly by introducing secure connection (HTTPS), an OTP authentication system employing the most up-to-date techniques to encrypt the data and data transfer in an encrypted format. The digital assurance team should thoroughly evaluate the encryption technique to prevent the modification or loss of sensitive data.

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Digital Assurance in Data Segregation

The customer’s information is kept in a single client/company database or a shared database shared by several clients/companies. We need to conduct a data segregation verification when several clients share a single database or cloud storage; this digital assurance service can help ensure no data leaks. If they share the same database, the scope of data segregation expands from a single client to multiple clients.

Educational sector: Segregating similar members from a single client’s database based on multiple criteria

In a dedicated database, for a particular customer, we can categorize people with similar traits according to various criteria; in the example given, we did this by class, sport, and extracurricular activities. Ensure no member can access another member’s data or credentials, and no data is transferred misleadingly.

Insurance Sector: Separating the same member’s information based on the insurance of various clients using a single shared database

The same person purchased many policies with various clients and businesses; they share a common cloud-based shared database. The data segregation verification confirms that there has been no security breach, which could result in data loss or sharing of sensitive information with the wrong clients.

The Scope of Data Segregation in Digital Assurance

Since almost every industry has transitioned to a digital platform to keep their data digital, the scope of data segregation has expanded to medical services, network security, air travel, online commerce, financial data, statistical, metrological, transport, geographic, cultural, and all scientific information.

Indium has an established benchmark process for verifying data segregation in various businesses to guarantee ZERO security breaches and storage of private information.