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Prepare your enterprise for the digital age by bringing actionable data to the right people at the right time; at the half the cost and twice the speed of existing solutions. Logyc is the only company that is harnessing the power of enhanced knowledge transfer to deliver the transformation that you are looking for.
BOLD STATEMENT, Let us prove it to you.
No matter if you are starting to build your digitization roadmap, or have invested millions of dollars and years building data lakes and applying available algorithms, Logyc's solutions can complement your efforts and accelerate impact on your operational impact and your ROI.
- Data Acquisition
- Data Integration
- Data Consolidation
- Data Standardization
- Data Classification
- Data Mapping
- Data Analytics
- Predictive Modeling
- Natural Language Processing
- Intelligent Recommendation
- Advanced Search and Ranking
- Complex Event Processing
- Early Warning System
- Real-Time Dashboards
- Hundreds of Data Sources
- Tableau & Power BI Integration
- Existing Platform Integration
- Interactive Visualizations
- Data Modeling
- Event Simulation
- Impact Simulation
- Data Augmentation
- Data Exchange
Augment your existing data with the knowledge to create a continues learning loop; while bringing actionable insights to the right people at the right time.
Logyc's Just-In-Time Data Engine is designed to bring real-time operational intelligence and discover signals hidden in the noise of Big Data.
Operational data is personalized to individuals depending on how it affects them, eliminating the extra noise and improving individual's productivity and accuracy.
The data is either captured in real-time or continuously updated to provide the most accurate information at the moment it is required; while historical data created is used for pattern discovery and recommendations.
Consolidating all the data into data lakes is extremely time-consuming and expensive. Logyc consolidates data, as needed, based on the variables that affect the outcome while autonomously discovering gaps in knowledge — significantly reducing the configuration and algorithm training costs.
By eliminating noise, the data is consolidated in half the time. By combining our system with customers' existing user interfaces, user adoption is twice as fast. Reducing the learning cycle by enhancing missing data with the collective knowledge
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