MDIS

Data integration has never been so easy

MDIS, an innovative tool for data integration.

Unique approach

Our unique metadata-driven approach greatly simplifies development, testing, and maintenance of data management tasks.

Minimized costs

Data management projects are implemented by small teams in short terms.

Easy development

Instead of writing straightforward code or building static complex data flows, we create metadata which defines data structures, data validation rules, data historization algorithms, processes etc.

Fast processing

Data management processes (data load, data validation, data historization, etc.) are executed efficiently and quickly due to usage of highly optimized program code and parallel data processing.

Data integration is not hard

Our services are designed to ensure the fast and efficient delivery of innovative and technically complex projects. We provide specialized expertise across Data Warehousing, Data Integration, Data Quality Management, Master Data Management, and other advanced data management domains.

Even the most challenging and time-consuming tasks—such as data extraction, data quality verification, handling incorrect data, historization (tracking data changes over time), and process orchestration—are implemented quickly and efficiently.

MDIS Data Management runs on Viya 4, Viya 3.5, and SAS 9.

Faster Project Implementation

Key project phases—development, testing, and implementing changes—are significantly accelerated, enabling faster overall delivery compared to traditional approaches.

Higher Data Reliability and Easier Maintenance

Data-load issues and incorrect results are greatly reduced.
This leads to easier maintenance, improved system stability, and lower operational effort.

Ready for Big Data

The newest evolution of MDIS introduces support for distributed tables, enabling seamless processing of multi-terabyte analytical datasets.

What Our Customers Say

With the help of MDIS Data Management, analytical data modules are prepared by loading data from different systems. Thanks to the fact that data processing is reliable and fast, our analysts get relevant data, which is used to determine the tax fraud.

Rasa Karosienė

Head of IT Department, State Tax Inspectorate Under the Ministry of Finance of the Republic of Lithuania

MDIS data management software in Urbo bankas is used for data load to the SAS Anti-Money Laundering solution and data warehouse. Usage of data validation and historization algorithms during data load, ensures that data in these systems is correct and historical data changes are not lost.

Arnas Žalys

Member of the Management Board, UAB Urbo bankas

We enjoy MDIS data management software. In our view, the main advantage of this software is the ability to assure quality of data with the minimal staff time costs. Using MDIS created graphical interface, usually just one minute is enough to assess whether problems exist in the data preparation processes. Previously this required big concentration and patience. In addition, always existed probability that problems will be unnoticed and will be informed by end users later.

Normantė Žekonienė

Deputy Director of Customs Information Systems Center, Customs of the Republic of Lithuania

MDIS data management software in Artea bankas is used for the optimized data renewal in the SAS Anti-Money Laundering solution and data warehouse. While efficiently using infrastructure resources, this software ensures fast data renewal with high data quality level. Implementation of changes in data renewal processes is performed easily with minimal testing efforts.

Jonas Barktus

Head of Information Technologies Division, Artea Bankas AB

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