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Mayowa | Updated April 25, 2024

Do data leave my company while using Digna?

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Mayowa | April 25, 2024

No, your data stays in your company. We do not need access to your data neither in our on-prem or in our cloud solution. (more)
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Mayowa | Updated April 25, 2024

Can I deploy Modern Data Quality tools with On-premise installation?

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  • 83 Views

Mayowa | April 25, 2024

Yes, with Digna's Modern Data Quality platform, you can set up with on-premises or cloud installation, the choice is yours. With Digna, you can achieve top-notch data quality with an on-premise installation ensuring full control over your data. (more)
0
votes
Mayowa | Updated April 25, 2024

Is Digna an example of a Modern Data Quality Tool?

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  • 84 Views

Mayowa | April 25, 2024

Digna is a modern data quality tool that enhances the integrity and reliability of your data. It is an AI-powered platform that uses advanced machine learning algorithms to detect anomalies before they escalate and provide timely alerts. By continuously monitoring your data in real-time, Digna ensures that high-quality data is maintained across your organization's databases, data lakes, and data warehouses. (more)
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Mayowa | Updated April 25, 2024

Can I integrate Digna in my workload / ETL Processes?

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  • 101 Views

Mayowa | April 25, 2024

Yes, we even recommend it. This allows you to be informed about data quality issues as soon as possible. Once data is loaded into your database, you can start inspecting the data. Digna supports CLI (Command Line Interface) and RESP API. (more)
0
votes
Mayowa | Updated April 25, 2024

What is Modern Data Quality (MDQ)?

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  • 64 Views

Mayowa | April 25, 2024

Modern Data Quality (MDQ) is the use of AI to learn patterns of data, predicting future metrics and comparing these data to validate the integrity of data. In the past, this was ascertained by using predefined data quality checks to define which data is either correct or incorrect. (more)
0
votes
Mayowa | Updated April 25, 2024

Do I need very powerful hardware to run the Digna?

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  • 80 Views

Mayowa | April 25, 2024

Digna follows an Automated Machine Learning approach, where our Generic Machine Learning Model is applied to all tables we analyze. We create one instance of the model per table, which means that the Machine Learning models are small and can be trained on a standard laptop for the entire data platform. (more)
0
votes
Mayowa | Updated April 25, 2024

Does Digna export data from your database to analyze it?

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  • 73 Views

Mayowa | April 25, 2024

No data export needed. Digna calculates metrics using SQL Interface, in your database. Digna does not export your data; only calculated metrics are exported from the database. It differs from other DQ Tools that need to export entire data before they can analyze it. (more)
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votes
Mayowa | Updated April 25, 2024

How quick is the setup process for Digna?

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  • 82 Views

Mayowa | April 25, 2024

The setup process for Digna is designed to be swift and straightforward, often completed within hours. It requires minimal configuration to begin providing insights, with many customers starting to see value from the first day of implementation. (more)
0
votes
Mayowa | Updated April 25, 2024

Can non-technical users operate Digna effectively?

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  • 66 Views

Mayowa | April 25, 2024

Definitely. Its out-of-the-box AI features means you can utilize Digna without understanding the AI algorithms work. Digna is built with a user-friendly interface that allows non-technical users to easily navigate and utilize its features. Its AI-driven insights and recommendations are presented in an accessible format, enabling users across your organization to contribute to data quality efforts.
(more)

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