Data Quality Platform For Data Warehouses & Co.

Digna is the Game-Changing Data Quality Platform that effortlessly uncovers anomalies and errors in your Data with Artificial Intelligence.

Do you face the following issues?

You process data from dozens or even hundreds of data suppliers and once a while you wonder what happened with the data again?

Missing Data

20% or more reduction in expected Data volume? Are retail customers details missing in data delivery?

Weird Suspicious Crippled Data

Do all values in a numerical column suddenly have a value of 0? Is there missing data from a column? Are employees’ salaries off by a large margin from the usual? Does the Gender column unexpectedly have unrelated values?

Delayed Delivery

Still waiting for Data but not sure when it would be delivered? Didn’t notice that your Data Supplier did not supply for a long period?

How Digna solves the Problems?

Autometrics

DIGNA calculates the profiles of your data. A profile is a set of statistics calculated in a given time period.

Autometrics
Forecasting Model

Forecasting Model

Based on the calculated metrics, DIGNA’s unsupervised Machine Learning Algorithm receives and learns of the normal behavior of all metrics and predicts the future values.

Autothresholds

The more observed values deviate from predicted, the higher the chance for alerts. Digna’s AI-powered self-adjusting threshold algorithms define the ranges.

Autothresholds
Dashboard

Dashboard

You can check the status of your Data/deliveries on the Dashboard and take a deep dive into the issues.

Notifications

Digna notifies you about alerts as soon as they happen.

Notifications

Databases

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Notification Channels

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"Around 50GB of data from 30 different sources in 500 different structures are currently loaded into the ITSV data warehouse every day. The trend in volume and sources is strongly increasing. With ordinary data rules, checking data quality has become an increasingly challenging task. Digna solved that issue." IT Services of the Austrian Social Security

ITSV

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