Overview

Data has become the oil, as per the latest adage in industry circles. The value of data by their measurement of various metrics in gauging customer behavior and driving sales has beckoned the need for data classification. Data classification is the segregation of data according to sensitivity, type, and value to the organization. It assists firms in assessing the risks of the data in cases of cyberattacks and implementing strategies in their accordance. The Data Classification Market Share is expected to reach a value of USD 1.5 Billion by 2027. Software vendors have developed appropriate products for data preservation, data security, and data integration. In order to aid this valuable asset, governments have enforced certain regulations and policies.

Data Policies

Data compliance of laws and policies are practiced by organizations to ensure the protection of sensitive data. The data policies deemed to protect the integrity and sovereignty of data of companies are as follows:

GDPR

The General Data Protection Regulation is a legal framework passed by the European Union (EU) for companies to adhere to data protection of consumers residing within the countries. The non-compliance of the rule can lead to filing of anti-trust laws and fines ranging to USD 11.4 million.

Payment Card Industry Data Security Standard (PCI-DSS)

This particular policy describes the standards and rules to be adhered by business handling financial information such as credit cards and debit cards. The rise of wireless and online transactions has brought the policy to the forefront. Measures including firewalls, multi-step authentication, and protection of card numbers whether stored in electronic or analog form.

Health Insurance Portability and Accountability Act (HIPAA)

Healthcare organizations and their heads are expected to adhere to the policy for protecting the data of patients. Patients offer their patient history and insurance card details at the behest of gaining coverage for certain illnesses. Rise of electronic health records and threats from cyber attacks are likely to spur the categorization of patient data within organizations in order to be averse to penalties and fines.

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Types of Data Classification

Content-based

The content-based classification involves the reviewing of files and documents and their eventual classification.

Context-based

The context-based classification segregates files according to the metadata of the file. For instance, they are divided by the application used, the user, or their location.

User-based

The user-based classification categorizes the data as per the clearance given to users. For instance, executives at the managerial level can access certain files, while the executives at the junior level require certain security credentials to gain access. The security on the files acts as a safeguard owing to their possible misuse.

COVID-19 Impact

The COVID-19 pandemic has led to restrictions on movement and enforcement of lockdowns in sensitive regions. Companies dealing with sensitive information are taking extra measures to prevent the leakage of data amid the chaos of the pandemic. The spates of fake messages and health claims which can cause a panic among industries are needed to be monitored and data classification plays a role in social media. Data protection policies developed by companies and organizations are providing security measures and data discovery platforms can reveal volume, location, and context of data.

In addition, healthcare providers can use technology for categorizing the nature of COVID-19 patients ranging from asymptomatic to severe. The real-time dashboard of COVID-19 cases can be categorized according to location, region, and country as per recovered and active cases. The information and the algorithms have been used by various mobile applications of nations for alerting civilians of the crisis.

Summary:

Data classification is a necessity in the information age. Data are assets collected and assessed by organizations and used to gain prime advantage in industries. But the growing volume of data and users and recent breaches of sensitive information such as the Cambridge Analytica scandal has necessitated the need for data classification in order to protect the end-users. The article aims to highlight the salient features and its huge need in all industries.

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Data Classification Market Research Report: Information by Technology (Hall Effect, Magneto Resistive, Variable Reluctance), By Application (Automotive, Industrial, Aerospace & Defense, Consumer Electronics) and Region (North America, Europe, Asia-Pacific, Middle East & Africa, and South America)—Forecast till 2030

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