Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient resource ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Some of the data handled at ETH for research, teaching and administration purposes is confidential and requires a high level of protection to safeguard personal privacy, research results or processes.

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

MoSPI said the new GDP 2022-23 series will use firm-level data, GST and Annual Survey of Unincorporated Sector Enterprises (ASUSE) inputs. CPI and IIP methodologies are also being revamped for wider ...