The Data System – Part II

Learning from the human circulatory system

A guest blog post from David Quackenbush, EVP & Chairman of Gimmal.

Blood Vessels vis-à-vis Data Flow

In the human circulatory system, arteries play a crucial role by transporting oxygen-rich blood from the heart to various parts of the body. Your veins are the return mechanism to remove the waste, clean the blood through the liver and kidneys and then through the lungs to refresh the oxygen. This process ensures that all organs and tissues receive the necessary nutrients and oxygen to function optimally. Similarly, in an organization’s data system, data pipelines act as the arteries, transporting data from central repositories to different departments and systems.

Efficient data flow is essential for an organization to operate smoothly and make data-driven decisions. Just as blockages in arteries (clots and cholesterol) can lead to severe health issues, “data cholesterol” can clog data pipelines. Data cholesterol represents unnecessary, outdated, or redundant data that can slow down or block the flow of useful information, leading to inefficiencies and decision-making delays, and inefficiencies in data pipelines can hinder organizational performance and decision-making.

By addressing data cholesterol and maintaining efficient data flow, organizations can ensure that their data systems remain healthy and capable of supporting informed decision-making, much like well-functioning arteries in the human body.

Ignoring this important part of The Data System will result in poor performance and likely unpredictable results when various types of Artificial Intelligence (AI) Solutions are applied to the corporate data set.

Regardless, regular monitoring, appropriate interventions, and a proactive approach are key to maintaining balance and preventing problems. It’s a dynamic process that requires continuous attention and adjustment to ensure overall health and performance.

To prevent and manage data cholesterol, organizations should focus on strengthening the “veins” of The Data System.

In the human circulatory system, veins are responsible for carrying “dirty” blood back for purification and re-oxygenation. This process ensures that the body can continuously sustain itself and remain healthy. Similarly, in an organization’s data system, data feedback loops act as the veins, collecting and returning data for analysis and improvement.

Data feedback loops are crucial for data-driven decision-making. Just as veins ensure that “dirty” blood is returned to the heart for replenishment, data feedback loops ensure that valuable information is cycled back to the central repository for analysis and refinement.

Key aspects of maintaining effective data feedback loops include:

• Data Cleansing: Regularly identifying and removing outdated, duplicate, and irrelevant data to keep the data repository lean and efficient.
• Data Governance: Implementing policies and practices to ensure data quality, consistency, and compliance throughout the organization.
• Data Lifecycle Management: Establishing processes to manage data from its creation to its eventual archival or deletion, ensuring only relevant data is retained.
• Data Monitoring: Continuously monitoring data quality and usage to detect and address any issues that may contribute to data cholesterol.
• Data Collection: Implementing mechanisms to continuously collect relevant data from various sources within the organization.
• Data Analysis: Utilizing analytical tools and techniques to process and interpret the collected data, generating actionable insights.
• Data Integration: Ensuring that the analyzed data is seamlessly integrated back into the central repository for further use and decision-making.
• Continuous Improvement: Establishing a culture of continuous improvement, where insights from data feedback loops are used to refine and optimize processes and strategies.

By maintaining robust data feedback loops, organizations can ensure that their data systems remain dynamic and capable of driving continuous improvement, much like well-functioning veins in the human body.

In the human circulatory system, capillaries play a critical role in delivering oxygen and nutrients to individual cells. These tiny blood vessels ensure that every part of the body receives the necessary resources to function optimally. Similarly, in an organization’s data system, granular data distribution is akin to the role of capillaries, ensuring that specific data reaches the right users and departments.

Effective data distribution is essential for empowering employees with the information they need to make informed decisions and perform their tasks efficiently. Just as capillaries ensure delivery of oxygen and nutrients at the cellular level, organizations must ensure that data is distributed accurately and securely to the intended recipients.

Key aspects of effective data distribution include:

• Implementing robust access control solutions to ensure that only authorized users have access to specific data.
• Utilizing efficient data delivery services, such data feeds, and dashboards, to provide real-time access to data.
• Providing training and support to users to help them understand and effectively utilize the data they have access to.
• Tailoring data delivery to meet the specific needs and preferences of different users and departments.

By focusing on these aspects, organizations can ensure that their data distribution system functions as efficiently and effectively as capillaries in the human body, delivering vital information to where it is needed most.

It’s easy to see that arteries, veins, and capillaries make up an elegant, but complex system to ensure our bodies get the nutrients we need, and the refreshing of our organs by removing toxins, and other metabolic waste, by returning that blood through the cleansing and replenishment systems of the body (liver, kidneys, lungs, etc.).  Similarly, The Data System requires the same functions to ensure data efficiently flows in the right amount, to the right people at the right time.  A critical part of this flow is the governance to ensure the highest data quality, security, and reach to the edges of our organizations.  Making the governance as automated as possible is a critical success factor, but still requires the necessary process and people adoption strategies to ensure a complete and reliable result.

The final article in this series will take a deeper look at data quality and solutions for improving quality including AI’s effect on data quality, data security and privacy, and organizational influences including Chief Data Officer (CDO), Chief Compliance Officer (CCO), and Chief Information Security Officer (CISO).