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Data Summary

Feature Description

With this feature, you can access a detailed summary of the key aspects of your dataset. The summary includes information such as the total number of records, presence of missing or null values, correlation between selected inputs, and skewness in the data distribution. This allows you to quickly grasp the key characteristics of the dataset, facilitating informed decision-making.

End User Business Benefits

no code

Quick Dataset Assessment

Users can instantly understand the structure, health, and readiness of their data.

Faster decision

Faster Decision-Making

Spot data issues early (missing values, skewness) and take corrective action before downstream processes.

increase accuracy

Increased Model Accuracy

Better data profiling leads to cleaner inputs, enhancing model performance.

error-reduction

Accessible to Non-Technical Users

No need for code or scripts. Get insights directly from the interface.

time saving

Supports Data Governance

Offers transparency into data quality and readiness, promoting trust in analytics. 

  • Healthcare & Life Sciences Industry

    For understanding the quality and distribution of patient or program data before applying models or KPIs.

  • Retail & E-commerce Industry

    To check for anomalies or gaps in customer, transaction, or product datasets.

  • Public Sector & Government Industry

    To ensure demographic and service data is complete and consistent before policy or resource analysis.

  • Manufacturing & Operations Industry

    To validate operational and sensor data before feeding it into predictive maintenance models.

  • Banking & Financial Services Industry

    For profiling datasets before applying risk, fraud detection, or credit scoring models.

application areas