Digital Q.DataFactory

The main articles are:

• Data mining Data mining
• Data Quality Management

2025

Q.DataFactory View

Diasoft's Data Factory will help companies effectively use artificial intelligence to work with data. Diasoft announced this on December 25, 2025.

The growing volume of data and the complexity of business tasks are forcing companies to look for new, more efficient tools to manage and analyze data. Artificial intelligence (AI) is able to turn "raw" data into specific business results. AI has become a strategic asset for companies looking to improve operational efficiency and gain competitive advantages.

The basis for the successful implementation of AI is a high-quality and well-organized data infrastructure. Specialized IT platforms play a key role in its creation.

Diasoft extends the capabilities of the Digital Q.DataFactory solution to automate the process of building end-to-end data streams - from retrieval from sources to loading for later analysis. Digital Q.DataFactory serves as the foundation for the deployment of intelligent analytical systems.

{{quote 'The platform takes on all the routine work of data management: engineering and orchestration of ETL/ELT processes, ensuring data quality and consistency. This allows companies to focus on the main thing - on the construction and implementation of ML models, without being distracted by the support of data-pipeline, - explained Ilya Shuikov, head of the Data Factory product. }}

Digital Q.DataFactory provides uninterrupted and high-quality data delivery, and AI is responsible for their in-depth analysis. Together, these tools create the following business benefits:

• Predictive analytics and forecasting. Machine learning algorithms that receive data from the "Data Factory" can predict future trends. This allows retailers to optimize stocks, and manufacturing companies to predict demand.
• Personalization of customer experience. The neural network is at the heart of recommendation systems. In the B2B segment, with high-quality data, you can offer customers relevant products, significantly increasing sales conversion.
• Automation of routine processes. AI is able to robotize complex tasks: for example, to organize the automatic processing of documents verified and loaded through the "Data Factory."
• Proactive fraud detection. In real time, the neural network, having access to data from Digital Q.DataFactory, monitors transactions and user behavior, instantly signaling suspicious actions.

One of the key qualities of the "Data Factory" is the low-code of the data processing capability. They allow you to accelerate development and reduce the level of qualification requirements for data engineers for development on the platform. For example, using the low-code tool built into the platform with the AI assistant, data engineers can quickly develop new ETL processes and configure data mapping, describing the staging of the task in natural language.

The solution is part of the low-code ecosystem of Digital Q microservice software development .

Digital Q.DataFactory: From Industrial Data Warehouse to Accurate AI Forecasts

Diasoft experts, using the case of one of the customers, presented the capabilities of the comprehensive Data Factory solution (Digital Q.DataFactory), which is part of the Digital Q ecosystem. The solution helps to get the most out of the data by automating all processes: from collecting and processing data to building forecasts based on them. Read more here.