Challenges of Manual Privacy Operations

Written by Devyaani

Content Writer, Digital Marketing

Data privacy requires organizations to safeguard their customers, and non-compliance can cost businesses dearly. The processes and frameworks require technologies and professionals to manage data assets to project protection. While the privacy operations framework is a guided structure, it requires data rules and strategies that help meet compliance.

It is important to work on certain data governance processes to streamline the compliance process. With the change in data governance and data privacy trends, many organizations want to scrap their manual processes and move towards the automation of privacy programs. Many challenges come in the way while working on manual privacy operations. Royal Cyber has curated a list of such challenges and their solutions. Read further!

Challenges of Manual Privacy Operations

Data privacy requires organizations to safeguard their customers, and non-compliance can cost businesses dearly. The processes and frameworks require technologies and professionals to manage data assets to project protection. While the privacy operations framework is a guided structure, it requires data rules and strategies that help meet compliance.

It is important to work on certain data governance processes to streamline the compliance process. With the change in data governance and data privacy trends, many organizations want to scrap their manual processes and move towards the automation of privacy programs. Many challenges come in the way while working on manual privacy operations. Royal Cyber has curated a list of such challenges and their solutions. Read further!

Challenges of Manual Privacy Operations

Five Fundamental Challenges

Many organizations carry out data inventory and data mapping services manually. Automated data privacy compliance and framework provide multiple benefits to organizations as it adds to better compliance and functions. Not just it, it also helps to prevent identity thefts and avoid costly mistakes.

In many organizations, manual methods such as emails and spreadsheets are the most common way to carry out data inventory and mapping activities. It increases the number of challenges and risks associated with it.

The five fundamental challenges are:

  • Dependency on tickets/emails to locate data

  • Lack of process to track privacy compliance

  • Trouble classifying data

  • Difficulty in managing data quality, consistency, and compliance

  • Manual intervention for data flow monitoring purposes

How to Approach Challenges?

Below are the professionally guided steps to counter the above-listed challenges.

Manual Intervention for Data Flow Monitoring

Trusted and reliable data maps help privacy professionals understand data flow in an organization. Besides it, privacy professionals also rely on third-party data mapping tools. However, it does not have direct connections to data repositories. During the process, data stewards handle the burden. It concludes in a limited view of information that quickly becomes outdated.

Lack of Process to Track Privacy Compliance

Professionals who deliver privacy initiatives often rely on manual processes to note outdated compliance checklist requirements. Teams need a process to internally track privacy compliance to avoid the tedious process of checking multiple spreadsheets.

Trouble Classifying Data

Personal Identifiable Information (PII) containment is a complicated process for the legal teams, especially when the other department is unaware of the legalities and updated regulations. It is important to classify data, generate a data map, and understand data linkages.

Dependency on Tickets/Emails to Locate Data

Privacy professionals need to find data for data subject requests to start the process. Locating the right data might be a bit of a task for them. In the process, professionals look for ways to submit tickets/emails that later land on the rightful place of the data owner or responsible data steward. Under the General Data Protection Regulation (GDPR), privacy professionals, especially privacy managers, have 30 days to reply. But the communication flow gets set along with manual database search that adds significant delays to find the right data.

Difficulty in Managing Data Quality, Consistency, & Compliance

Organizations face multiple challenges to manage data quality, consistency, and compliance. Data catalogs play a key role in creating an abstraction layer that unifies an organization's disparate physical data infrastructure. It also enables organizations to establish centralized definitions, mappings, policies, and controls. Professionals can help you overcome these challenges.

How to Approach Challenges?

Below are the professionally guided steps to counter the above-listed challenges.

Manual Intervention for Data Flow Monitoring

Trusted and reliable data maps help privacy professionals understand data flow in an organization. Besides it, privacy professionals also rely on third-party data mapping tools. However, it does not have direct connections to data repositories. During the process, data stewards handle the burden. It concludes in a limited view of information that quickly becomes outdated.

Lack of Process to Track Privacy Compliance

Professionals who deliver privacy initiatives often rely on manual processes to note outdated compliance checklist requirements. Teams need a process to internally track privacy compliance to avoid the tedious process of checking multiple spreadsheets.

Trouble Classifying Data

Personal Identifiable Information (PII) containment is a complicated process for the legal teams, especially when the other department is unaware of the legalities and updated regulations. It is important to classify data, generate a data map, and understand data linkages.

Dependency on Tickets/Emails to Locate Data

Privacy professionals need to find data for data subject requests to start the process. Locating the right data might be a bit of a task for them. In the process, professionals look for ways to submit tickets/emails that later land on the rightful place of the data owner or responsible data steward. Under the General Data Protection Regulation (GDPR), privacy professionals, especially privacy managers, have 30 days to reply. But the communication flow gets set along with manual database search that adds significant delays to find the right data.

Difficulty in Managing Data Quality, Consistency, & Compliance

Organizations face multiple challenges to manage data quality, consistency, and compliance. Data catalogs play a key role in creating an abstraction layer that unifies an organization's disparate physical data infrastructure. It also enables organizations to establish centralized definitions, mappings, policies, and controls. Professionals can help you overcome these challenges.

Organization's reliability, productivity, and efficiency increase with automation. Overlying on emails, spreadsheets, or tickets can cause multiple challenges as manual processes open room for errors. Risks and errors can expose an organization to data and privacy risks. In some cases, such threats even go unnoticed. It is important to build a data intelligence foundation that includes data governance and data privacy frameworks and compliance solutions.

How can Collibra Help with Overcoming Such Challenges?

From implementation, customizations to management, we offer one-stop solutions for data governance. Royal Cyber's Collibra professionals are the subject matter experts who can help you drive success and accelerate growth to unleash limitless potential.

  • Strategic Data Management Approach with Collibra's Data Stewardship

  • Streamlined Implementation of License Management

  • Successful Development, Management, and Customizations of Workflows

  • Collibra Web Interface and Web Application Components Check, using JAVA API, REST API, Snapshots, Query API, BPMN 2.0 Workflow Engine, Data Quality Connector

  • Expert Enablement of Features (Business Glossary, Catalog, Help Desk, Policy Manager, and more)

  • No Errors, 24/7 Back-up, and Restoration

In all, manual operations can cost an organization dearly and increase the number of challenges as there is a lack of process to track the accuracy of the data. It is important to understand the challenges of manual privacy operations to understand what data privacy processes can get floated to streamline strategic data management and other workflow processes. Automation has multiple benefits; from fewer data errors to easy restoration, it covers all business aspects. Automation of privacy operations also adds to better decision-making and business growth.

Our Approach

  • Implementation of Enterprise-Level Governance: Our experts support effective data management to ensure that the organizational data complies with the global regulatory standards for enterprise-level governance.
  • Streamlined Process and Controls: Our experts ensure that the implementation runs on streamlined processes and controls that support effective data management for better compliance.
  • Regular Quality Analysis: Our experts run regular quality checks and identify measures that help in necessary implementation to ensure better data quality, regular updates, and improvements.
  • Enhanced Metadata Analysis: Our experts perform a detailed metadata analysis for improved data efficiency to help your organization strengthen process delivery.

Royal Cyber experts can also help you provide a comprehensive view of ensuring data quality and consistency that guarantees better decision-making strategies. We provide continued existence through risk management and optimization with our established rules of data use and compliance requirements that increase data value. What more? Our operation models help you to control the workflow better with less effort that provides flexibility and scalability. For further details on the services, contact us.

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