Turn Passive data collection into actionable insight

Solutions

Having a comprehensive data pipeline in place is critical for any meaningful analysis to take place.
Data Engineering

Having a comprehensive data pipeline in place is critical for any meaningful analysis to take place.

  • Gather data from various sources such as SQL, NoSQL, Flat Files, Streams, APIs, etc.
  • Transform and clean the data
  • Load the data back into a database or cluster for analysis

Visualize your data with industry leading business intelligence tools.
Data Analysis

Visualize your data with industry leading business intelligence tools.

  • Gain insight to drive business decisions and measure campaigns
  • Create custom reports and executive summaries for management
  • User interactive dashboards to quickly spot trends

Use machine learning to build powerful models that can shape the future by revealing patterns in large amounts of data.
Data Science

Use machine learning to build powerful models that can shape the future by revealing patterns in large amounts of data.

  • Create logistic or linear regression models to make predictions
  • Use clustering to find hidden patterns in data
  • Leverage deep learning for image classification and natural language processing

Tools

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Benefits

Leverage the power of open source software to streamline your operations. Improve efficiency and work flow by automating tasks. Reduce user errors by enhancing intuition with data!

Clients

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Built out a pipeline to capture massive amounts of simulator data for realtime analysis.

Sector: Education
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Created a model to recommend courses based on peers in a similar job function taking into account ratings and discipline and previously completed courses.

Sector: Education
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Used a clustering algorithm to map out similarities in groups of research subjects using various seemingly unrelated features.

Sector: Research
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Built out a system to capture realtime alarm and sensor data and stream it into a cluster for later analysis of hotspots and irregular activity.

Sector: Security
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Created a model to recommend clothing based on past purchases, location, and other buying habits of all other customers in the system.

Sector: Retail
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Created a model that would assess skill gaps and recommend the appropriate courses that addressed those gaps.

Sector: Education
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Built out a data warehouse using data from a dozen different sources. Multiple databases, flat files, APIs, and even emailed reports. A reporting engine was also built to leverage the new warehouse.

Sector: Retail
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Built a mobile platform that would use GPS to capture repair data and substation placement in realtime. A model was built to maximize the efficiency of repair work across the entire city based on the type of repair work that was needed.

Sector: Engineering
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Created a customized inventory management system that helped minimize cost by streamlining product flow from overseas sources to local clients.

Sector: Textiles

Contact

346.800.2898 | info@czekmaet.com | 31915 Rancho California Rd. #200-304 Temecula, CA 92591