Data Pipeline Tools: Mapping a Path Through Digital Convergence

Originally published by New Context.

Data is a top-of-mind issue for many organizations today because of the need for a balance between access and security. They collect data for a reason: to improve their business. However, a data breach could do the exact opposite. By embracing automation and governance as data pipeline tools, organizations can create an end-to-end solution that allows them to comply with the most stringent standards while ensuring access as needed.

Balancing Access and Protection Under the GDPR

Many organizations are reconsidering their enterprise data protection policies because of the European Union’s General Data Protection Regulation. This rule, implemented in 2018, dictates requirements for collecting, storing, and transmitting data in the European Union and European economic areas. As so much of modern business is global, many major companies will need to contend with it in some fashion.

One thing it expands on when it comes to data regulation is the “why” of collection. Most rules state the agency must disclose the reason behind the collection. The GDPR goes a step further by requiring the reason to fit into one of six areas, also called the six lawful bases.

These classifications are essential because the first key to data management is ensuring appropriately scoped collection. Once its legal obtainment is established, the GDPR sets out standards for:

• Control: The controller has appropriate measures to protect information and limit access to relevant parties. Data may require encryption, anonymization, or pseudonymization.
   
• Records: Records of activities are required for most organizations. They must list details on how data is accessed, the purpose of processing, transfers to third parties, and other pertinent actions. This provision necessitates the assignment of a data protection officer.
   
• Remedies: In the event of a violation of key GDPR provisions, agencies may receive written warnings or fines and penalties. Remedies may also include oversight periods with regular audits to ensure corrective action.
   
• Access: Individuals can see the data and how it’s used. In some instances, they also have the right to request its disposal. Individuals can object if data is collected for marketing, sales, or other purposes not related to performing the agreed-to services.

All organizations must get familiar with the requirements of the GDPR and incorporate them into their data governance policies, as they impact more than just countries in the EU. These provisions apply to any agency that processes information for individuals within the economic region. Of course, not all data management is dependent on compliance levels. To determine the best way to approach data security, organizations should complete a thorough audit.

Completing a Data Audit to Establish Necessary Tools

Before an organization adopts data pipeline tools, it needs a complete understanding of what’s under its control. This process starts by asking six critical questions as part of a data security risk assessment.

A complete data audit will tell organizations where they need to focus efforts as it exposes their potential blind spots. It also prepares them to take advantage of two critical tools in the data pipeline: automation and governance.

Automation and Governance as Data Pipeline Tools

Automation and governance are a necessity to balance access with security. These are both broad concepts that establish tools and frameworks for enhancing data protection at a fundamental level

Automation and governance are essential data pipeline tools because they’re end-to-end, often turnkey solutions. It’s possible to manage a wide range of data with varying requirements while providing the access needed to keep productivity high. Any organization ready to embrace automation and governance should consider working with a highly experienced consultant to build a customized program.