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Metametrics | Smarter Data Exploration

Metametrics | Smarter Data Exploration

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Metametrics | Smarter Data Exploration

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Lumi AI Product Feature Release | Metametrics

At Lumi, we’re excited to introduce our latest feature release Metametrics. Built to make data exploration faster and more transparent, Metametrics automatically surfaces column-level insights so analysts can understand their data at a glance.

What’s New?

Instant Data Summaries: Metametrics provides an immediate overview of every dataset you connect, summarizing key metrics such as:

  • Number of records
  • Number of distinct values
  • Minimum and maximum values
  • Percentage of nulls

This quick snapshot allows analysts to spot inconsistencies, missing data, or unusual distributions without writing a single query.

Feature Highlights

Comprehensive Data Summaries

Metametrics automatically surfaces key column-level statistics, including the number of records, number of distinct values, minimum and maximum values, and percentage of nulls. These summaries help analysts quickly evaluate the structure and health of their data without running validation queries or manual checks.

Configuration Ready Context for Every Table

Metametrics can be used to accelerate knowledge base configuration. Use distinct counts to tag and contextualize columns that are flags or categories. Use minimum and maximum dates to highlight date ranges. Use null percentages to decide which columns to expose, or exclude from knowledge bases. Use value ranges to define validation rules and catch illogical entries. This accelerates configuration column semantics, and accelerates configuration.

Smarter Data Exploration:

By presenting a concise overview of column-level patterns, Metametrics helps analysts and data teams identify:

  • Categorical patterns: can be identified with columns that have limited unique values serving as flags or containing category types.
  • Range boundaries: minimum and maximum values can be used to reveal usable timeframes or detect illogical values.
  • Completeness indicators:  high percentages of nulls highlight potential risks when filtering or aggregating data.

This context helps teams understand not only what’s in their data, but how to query it effectivly.

Metametrics is another step in Lumi’s mission to make enterprise analytics seamless and intelligent, empowering every user to understand their data instantly, explore with confidence, and uncover insights faster than ever.
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2025-10-08
2025-10-08