Three Keys to Support Data Observability and Data Quality

Causeway Solutions

Data, Data Quality, Data Insights

September 16, 2024

Three Keys to Support Data Observability and Data Quality

Trusting data to be accurate, complete, relevant, and timely requires significant resources, talent, and technology. Data quality is critically important. Now a relatively new concept has been added: data observability.

While data quality refers to the integrity, validity and reliability of information, data observability relies on cloud-based platforms for real-time monitoring and management of complex datasets such as data lakes and data warehouses. Data observability is focused on performance metrics and root cause analysis to support organizations in detecting and responding to issues immediately.

Here are three keys to support both data quality and data observability in your organization.

  1. Define Business Goals – Data is imperative for organizations to make business decisions, minimize risks, and anticipate marketplace demands. Make certain the way data is managed and monitored bolsters data observability and quality so that the information derived supports operations, product roadmaps, sales, marketing, and business goals.
  2. Establish Technology Tools – From customer relationship management (CRM) and enterprise resource planning (ERP) to data fabric and dashboards, your tech stack must be robust to support your business needs. This includes data cleansing and warehousing, real-time monitoring and alerts, collaboration tools and more.
  3. Data Audits and Feedback Loops – Schedule regular data audits to monitor your data quality and observability programs. Advise team members to be open to adjustments and understand periodic process tweaks are commonplace.

In a fast-changing global economy, commitment to data observability and quality are vital for maintaining trustworthy, accurate and relevant information.

Maintain a competitive advantage, grow sales and boost business success by following the three keys to support data observability and quality. Learn more by contacting us at [email protected].