Big Data Analytics
Consolidate the complexities of large data volumes and foster data-driven decisions
With predictive analysis, modern solutions cultivate unprecedented gains in an "unpredictable" world
Our Analytical and Big Data Services Transform Businesses
Lighten how your business digests and utilizes it's data, by letting our experts create powerful analytical modules that address your challenges in real-time. Minimizing risks by identifying potential roots of failures, and linking your data with intelligent algorithms to discover actionable insight that can be used for automated decision-making.
Services for Big Data & Statistical Analysis
Data Analysis and Visualization
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Processing and prepping data for analysis with required data values
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Preparing reports for stakeholders
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Visualize insights and reports
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Create dashboards that can be customized to client's preferences
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Create custom models for target based clients
Data Science
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Consulting that improves business practices in data management
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Perform descriptive and inferential statistical analysis to understand data relationships
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Design and Analyze experiments to validate business hypotheses
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Provide Guidance on experiment setup, randomization, and analysis that lead to data-driven decisions and results
Statistical Analyses
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Design and Analyze studies or simulations to validate hypotheses for businesses, doctoral research, and relational analysis.
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Create charts, graphs, and dashboards to visually represent statistical findings for subject behavior,
- Enrich User Experience through AB Testing to maximize efficiency and product development
Data Management
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Data warehouse setup and maintenance for centralized data storage
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​Implement Master Data Management solutions for key business entities, while quantifying uncertainty
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Guidance in maintaining a robust data framework, job aids included upon request
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Implement and consolidate robust BI solutions, and platforms handles in an end-to-end process
Data Pipelines
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Designing Big data analytics software solutions that meet business requirements
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Building event-based infrastructures for data processing, and reporting
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​Preparing Data for testing, evaluating, cleaning, and merging data to the single point of analysis
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Customer Relational Management Integration: Connect the website data to a CRM system for managing leads and customer relationships.
Data Transformation
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Implementing practices that leverage automation processes into existing infrastructure
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Real-time data transformation pipelines on conditions in real-time data streams
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Use tools tools to automate and monitor complex data transformation workflows
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Consolidate large datasets into manageable forms by summarizing key information
Implement lasting analytical tool that will elevate the way you manage your data, streamlining how data is collected and processed from multiple sources.
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