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Smart DataLake Platform

Transform Data To Knowledge

Smart DataLake Platform enables organizations to transform siloed data into insights. The product provides the complete software environment needed to run data analytics enhancements, algorithms, data-quality curations, and procedures necessary for achieving breakthrough scientific results or establishing decision-supporting facts.

We assembled a wide-range of different blueprints (infrastructure toolbox, code toolbox, science-kit) to enhance the usage of this complex software ecosystem and support custom business needs.

Data IS Analytics
Data IS Research
Data IS Report
Data IS Science
Data IS Correlation

Smart DataLake Platform (DLX) is a sophisticated platform with advanced, hyper-convergent software infrastructure layers, data virtualization and management capabilities as well as the ability to source future-proof analytic power to transform data into timely and actionable insights.
Smart Data Platform components
Data Layer

Your data are always accessible in any form you need or you might need in the future. The Data Layer gives the right data infrastructure for data injection, data integration, data structure and supports complex accessibility and data encryption procedures. The solution deals with both horizontally (large amounts of data) and vertically (multiple types of data) scaled, structured or unstructured data as well as data from a variety of data sources. This layer enables data virtualization (access data without physical data collection), canalization, and data warehouse elements can be embedded into this layer as well.

Analytical Layer

The Analytical Layer plays a significant role in extracting the right information with a wide variety of tools and methodologies. With the use of Business Intelligence solutions like Power BI, the data are visually presented in a way that you will be able to discover hidden correlations and tendencies or test and prove your hypotheses. ML-AI solutions can help you find the potential root-cause of your current problem or predict an event, incident or the right time to intervene.

Knowledge & Research Layer

The Knowledge & Research Layer represents real-life solutions, like real-time report, alerts or applications we developed for your business need. This layer utilizes the results from the Analytical Layer, which we combine into a flow, a procedure or even a feedback directly to the operational system.

Unified Management Layer

The Unified Management Layer secures the system traceability, accessibility and supports common system operation services.

SmartData Platform (DLX) is a sophisticated datalake platform with advanced, hyper-convergent software infrastructure layers, data virtualization and management capabilities as well as the ability to source future-proof analytic power to transform data into timely and actionable insights.
Smart Data Platform components
Data Layer

Your data are always accessible in any form you need or you might need in the future. The Data Layer gives the right data infrastructure for data injection, data integration, data structure and supports complex accessibility and data encryption procedures. The solution deals with both horizontally (large amounts of data) and vertically (multiple types of data) scaled, structured or unstructured data as well as data from a variety of data sources. This layer enables data virtualization (access data without physical data collection), canalization, and data warehouse elements can be embedded into this layer as well.

Analytical Layer

The Analytical Layer plays a significant role in extracting the right information with a wide variety of tools and methodologies. With the use of Business Intelligence solutions like Power BI, the data are visually presented in a way that you will be able to discover hidden correlations and tendencies or test and prove your hypotheses. ML-AI solutions can help you find the potential root-cause of your current problem or predict an event, incident or the right time to intervene.

Knowledge & Research Layer

The Knowledge & Research Layer represents real-life solutions, like real-time report, alerts or applications we developed for your business need. This layer utilizes the results from the Analytical Layer, which we combine into a flow, a procedure or even a feedback directly to the operational system.

Unified Management Layer

The Unified Management Layer secures the system traceability, accessibility and supports common system operation services.

Components of the technology used include
  • Secure GDPR-conform data storage,  
  • Big Data storage combining structured and unstructured data, 
  • Data canalization and data virtualization 
  • Advanced data harmonization and integration, 
  • Advanced analytics (comparative, descriptive, learning, predictive, prescriptive) 
  • Data Science and Machine Learning  

SmartData Platform (based on SQL Server 2019 Big Data Cluster) built with correspondence to the 12-factor principles can be implemented on-premise, in the cloud, or as a hybrid infrastructure. The underlying infrastructure offers full data control, data privacy, highly elastic scalability, reliability, availability, and a diverse set of analytic engines.

Empower Your Data

In different industry domains, the initial challenge is similar: diminish silos of data, keep privacy and security while maximizing the power of data.

With the use of SmartData Platform, you can take advantage of the flexibility of data since it is stored in its raw format and will always be accessible, which allows on-the-fly reconfiguration remaining compliant with regulatory requirements.

Application Areas

Health Services
  • Collect and process near realtime data from IoT or wearable devices 
  • Handle historical data and provide quality of life predictions 
  • Ensure value-based and evidence-based healthcare  
  • Apply predictive and prescriptive analytics 
  • Build simple or complex solutions to support personalized medicine 
  • Conduct data exploration and discovery to gain a deeper understanding of the human genome 
  • Predict and detect any defect, and leverage these insights to enhance the life expectancy of the entire world’s population 
  • Predict healthcare cost 
  • Combine and utilize your data in multi-country locations comply with privacy and security regulations 
  • Improve institutional efficiency and profitability  
  • Support board decisions with AI enriched reports and insights 
Government and Public Services
  • Store and analyse historical data for exploration 
  • Support Smart city initiatives for storage and processing of data generated every single minute (weather, traffic lights, vehicles, tolls etc.) 
  • Optimise traffic, public, critical infrastructure services
  • Improve safety, decrease violence  
  • Track and trace safe and secure business’ precious digital assets 
  • Collect, discover and utilize siloed data from different legacy systems to support wide range of ad hoc and predefined requests and decisions  
  • Generate and reuse insights derived from data and apply complex access control without accessing the original data 
  • Make decisions on global data relying on local system results  
  • Improve the government agencies and public administration offices’ efficiency and profitability 
Financial and Professional Services
  • Provide customer segmentation and risk profiling 
  • Improve onboarding and product offering 
  • Innovate new products and services 
  • Support compliance based on collected data  
  • Predict and detect fraud  
  • Realize cost efficiencies 
  • Perform forecasts on real-time data and historical performance  
  • Carry out sentiment analysis combined research for trading advisory and facilitate innovative trading techniques and patterns 
  • Execute risk assessments 
  • Support investor and board decisions with AI reports and trustworthy insights 
  • Build or run ROI platform 

Case Studies

News & Blog InnoHealth DataLake

GDPR-proof clinical research system

The aim of the InnoHealth Datalake project is to develop and implement the concept of a novel complex IT system capable of collecting, storing, and analyzing all types of health data generated in healthcare activities and services at the University of Pécs, together with all relevant external data. It also serves as a prototype for domestic and regional healthcare systems.

The Datalake’s principal capabilities were identified according to current and future needs of healthcare including data collection (independent of size, type, and source of data), data storage, and data analyses by state-of-the-art analytical methods and tools supporting healthcare services and R&D&I activities.