Introduction: The Identity Card of Data
Imagine a tin can without a label. You know there is food inside, but you don’t know if it’s soup or fruit, the ingredients, or the expiration date. Raw data (the contents of the can) is useless without its label. This label is Metadata. Literally: data about data.
The 3 Essential Types of Metadata
To effectively manage a BI system, three categories must be distinguished:
Technical Metadata: This is the structure. Table name, column type (VARCHAR, INT), field length, indexes, primary keys. This is what databases (like SAP HANA) store natively.
Business Metadata: This is the context. What does this “TOTAL_AMT” field mean? Is it the amount before or after tax? Who is the owner of this data (Data Owner)? This is where technology is translated into business language.
Operational Metadata: This is the movement. When was this data last loaded? Was there an error during the last ETL flow?
Why Is It Crucial for Your BI?
Without managed metadata:
Time Loss: Analysts spend 80% of their time looking for the right data.
Risk of Error: Using a deprecated or misunderstood field skews reports.
Outdated Documentation: If metadata is not captured automatically, Word/Excel documentation is never up to date.
The RapidViews Approach
This is where the magic happens. Instead of entering this information by hand, a solution like BI Smart Repositoryautomatically scans your system to extract technical metadata and allows you to enrich it with business metadata. The result: living documentation, always synchronized with the reality of your systems.