Data and Insights Lineage: Tesser Insights' Perspective

Data and Insights Lineage: An Industry Perspective

In today's data-driven world, organizations are generating and consuming massive amounts of data at an unprecedented rate. With the increasing volume and complexity of data, it is becoming more challenging to ensure the quality and accuracy of the data, track its flow, and maintain its lineage. This is where data and insights lineage comes into play.

Data and insights lineage provides a complete understanding of the data's journey from its creation to its consumption. It helps organizations trace the data's origins, transformations, and consumption across various data sources, applications, and systems. This information is crucial for ensuring data quality, compliance, and governance.

Many industries are already leveraging data and insights lineage to streamline their operations, improve their decision-making, and gain a competitive advantage. Here are a few examples of how different industries are utilizing data lineage:

Healthcare: In the healthcare industry, data lineage is crucial for ensuring patient safety and complying with various regulatory requirements. By tracking the lineage of patient data, healthcare organizations can ensure that the data is accurate, consistent, and secure. They can also identify any errors or discrepancies and take corrective actions promptly. Moreover, by tracing the lineage of research data, healthcare organizations can ensure that their findings are accurate, reliable, and reproducible.

Retail: In the retail industry, data lineage is essential for tracking the product lifecycle, supply chain, and sales data. By tracing the lineage of sales data, retailers can identify customer trends, and demand patterns, and optimize their pricing strategies. By tracking the lineage of product data, retailers can ensure product quality, safety, and compliance. Additionally, by tracing the lineage of supply chain data, retailers can ensure that their products are ethically sourced and manufactured.

Finance: In the finance industry, data lineage is critical for complying with various regulatory requirements, such as Basel III, MiFID II, and GDPR. By tracking the lineage of financial data, financial institutions can ensure that their data is accurate, complete, and consistent. They can also identify any errors or discrepancies and take corrective actions promptly. Moreover, by tracing the lineage of investment data, financial institutions can identify trends, risks, and opportunities and optimize their investment strategies.

Manufacturing: In the manufacturing industry, data lineage is essential for tracking the product lifecycle, supply chain, and quality data. By tracing the lineage of product data, manufacturers can ensure product quality, safety, and compliance. They can also identify any defects or issues and take corrective actions promptly. By tracking the lineage of supply chain data, manufacturers can ensure that their products are ethically sourced and manufactured.

Tesser Insights Platform: A Comprehensive Data and Insights Lineage Solution

Tesser Insights Platform is a comprehensive data and insights lineage solution that empowers organizations to track the data's journey across the entire data lifecycle. It provides a complete view of the data's lineage and dependencies, enabling organizations to understand how data is transformed, analyzed, and consumed.

Tesser Insights Platform supports lineage for various types of objects, such as files, datasets, prepare-cleanse, prepare-transform, analytical models, and reports. It generates a graphical representation of the lineage and dependents of any given object, enabling organizations to visualize the data's flow and dependencies.

Tesser Insights Platform also provides data health information, displaying the missing values, errors, and duplicate records in the data. It enables organizations to identify any data quality issues and take corrective actions promptly. Additionally, the Tesser Insights Platform allows organizations to view similar or related datasets and clusters, enabling them to identify relevant data and insights.