Embracing the Future of Data Quality: Digna Release 2023.11

Nov 21, 2023

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5

min read

Embracing the Future of Data Quality: Digna Release 2023.11
Embracing the Future of Data Quality: Digna Release 2023.11
Embracing the Future of Data Quality: Digna Release 2023.11

In our current era, where data acts as the lifeblood of organizations, its quality is paramount. It informs critical business decisions, drives strategic initiatives, and shapes customer experiences. On November 16, 2023, our team announced Digna's latest feature release during the webinar - Announcing Digna Release 2023.11: The Future of Modern Data Quality. This latest update not only continues the tradition of Digna's commitment to data excellence but also introduces a host of features that would further enhance how organizations approach and elevate their data quality standards.

Digna: A Vanguard in Data Quality Management

Digna has consistently been at the forefront of data quality solutions, designed to identify and resolve data quality issues proactively. Its journey, marked by continuous innovation, has evolved from supporting foundational databases like Oracle, SQL Server, and Netezza to embracing modern data management systems. 

By integrating Automated Machine Learning, Digna has redefined Data Quality Approach, ensuring that data inaccuracies are identified and corrected swiftly and effectively.

Data privacy is a critical concern in today’s digital landscape, and Digna addresses this by offering solutions that align with stringent data regulations. Its commitment to data privacy ensures that organizations can maintain high data quality standards without compromising data security and compliance. This aspect of Digna is particularly relevant for businesses operating in sectors with strict data privacy laws.

Being Domain Agnostic, Digna tailors its prowess to various sectors, from finance to healthcare, ensuring that the unique challenges of each domain are addressed with precision.

Digna's scalability is another feather in its cap, making it a versatile choice for both burgeoning startups and established enterprises. Its Real-time Radar feature complements this scalability, ensuring immediate detection and resolution of data issues, thereby safeguarding decision-making processes.

Moreover, Digna's deployment flexibility, whether on the cloud or on-premises, allows organizations to choose a solution that aligns with their specific needs and security policies.

What’s New in Digna Release 2023.11?

With the 2023.11 release, Digna has expanded its database connection options to include Snowflake and SAP HANA, broadening its horizons to encompass some of the most cutting-edge database technologies. This expansion enables organizations to leverage Digna's advanced data quality tools across a wider range of data sources, further enhancing the scope and efficacy of their data quality initiatives.

Additionally, the integration with key productivity tools like Microsoft Teams and Slack marks a significant enhancement in collaborative data management. This integration facilitates seamless communication and coordination among data teams, streamlining the process of identifying and addressing data quality issues.

Supported Databases on Digna

- Oracle

- SQL Server

- Netezza

- Timescale

- MariaDB

- Teradata

- MySQL

- Apache Impala

- PostgreSQL

- SAP HANA

- Snowflake

Supported Productivity Tools on Digna

- Emails

- Webhooks

- Slack

- Microsoft Teams

This comprehensive support ensured that organizations could leverage Digna across various data environments, ensuring adaptability and flexibility.

The Impact: Solving Data Quality Challenges

Introducing enhanced database connectivity options and increased integration with productivity tools directly addresses critical pain points in data quality management. Organizations can seamlessly integrate Digna into a broader spectrum of data environments, improving the accuracy, consistency, and completeness of data.

Empowering Data Teams with Expanded Database Support

The integration of Snowflake and SAP HANA with Digna opens up a realm of possibilities for data teams. With Snowflake's cloud-based solutions, teams can now manage and analyze vast datasets more efficiently, leveraging the scalability and performance of cloud computing. 

SAP HANA adds to our increasing list of databases, this expanded database support empowers data teams to tackle more complex data challenges with greater agility and precision.

Streamlining Workflow with Productivity Tool Integration

The integration with Microsoft Teams and Slack helps enhance team collaboration and efficiency. These platforms are central to modern corporate communication and by bringing data quality management into these environments, Digna facilitates more seamless, real-time collaboration and faster resolution of data issues. This integration is particularly crucial in a remote or hybrid working world, where digital collaboration is key.

Elevate Your Data Quality Journey

In conclusion, Digna Release 2023.11 cements our commitment to the future of modern data quality solutions. The expanded connectivity options and productivity tool integrations showcase Digna's mission to stay at the forefront of industry needs. Organizations seeking to elevate their data quality journey, solve data issues, and foster a culture of collaboration and transparency are encouraged to explore the possibilities that Digna brings.

As the data landscape continues to evolve, Digna remains steadfast in its mission—to be the AI solution that not only solves today's data quality challenges but also paves the way for a resilient and future-proofed approach to data management.

To learn more or schedule a demo, please reach out to our team. Your engagement and feedback are vital as we continue on our journey to revolutionize data quality management.

Stay ahead. Elevate your data quality journey with Digna.

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Meet the Team Behind the Platform

A Vienna-based team of AI, data, and software experts backed

by academic rigor and enterprise experience.

Meet the Team Behind the Platform

A Vienna-based team of AI, data, and software experts backed

by academic rigor and enterprise experience.

Meet the Team Behind the Platform

A Vienna-based team of AI, data, and software experts backed by academic rigor and enterprise experience.

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