Why DATUUM.AI
Sigma Software has been working a lot with Big Data and Data Analytics. Therefore, we are well aware of the most common difficulties related to data consolidation and management. Our experts thoroughly monitor the market for new solutions and tools that we can further utilize to help our clients cope with those challenges in the most efficient way.
Datuum .ai is one of such tools as it uses AI algorithms to automate data operations end-to-end and cuts efforts on data preparation for migration/integration, analysis, or even ML training.
- Saves ~80% costs on data recognition, mapping, and extraction, compared to a manual process
- Has a unique neural network architecture that detects semantical types of multiple business data classes as well as relationships between business entities and compares this picture with the target ontology
- Consolidates different data structures into one target model
- Manages vast amounts of fragmented low-quality data locked in legacy systems through generating data transformation routines that normalize the data
- Safeguards up to 98% results accuracy
- Provides access to the data through a low-code interface
- Safeguards continuous performance and quality improvement with a self-training AI
How it Works
Each business case is unique. Hence, our team is looking for the most optimal approach how to meet goals and configure efficient & smooth data management flow for each of those. We not only set up the process, but also provide ongoing support and guide the clients’ in-house teams on using datuum .ai to leverage the full potential of the solution.
The typical project flow looks as follows:
- The team investigates your use case and makes sure that datuum .ai fits your needs (if so, we provide you with the demo so that you could envision datuum .ai abilities)
- We analyze your requirements and define an implementation strategy
- Our experts set up the system, identify data ontology, and train the AI model to recognize the data automatically
- We provide you with the results and educate your team to monitor, correct & adjust those (if needed) through the simple interface
Case Studies
Expensive data projects, scarce data resources, numerous routine data operations – all these challenges are very familiar and common for many businesses.
Our experience shows that datuum .ai can successfully cope with those challenges, reduce efforts, and substantially shorten time-to-insights. We have already used datuum .ai to optimize our client’s data operation. Below are a couple of cases where the results were the most impressive:
- 72% reduction of data management costs through automated data collection from numerous Dealer Management System instances, data cleansing & normalizing with further load into a central storage
- SaaS platform integration speed increase by 10-12 times proven on successful integrations with over 20 external systems
