C

chisel-analytics

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Company Research Report: Chisel Analytics



Company Overview


  • Name: Chisel Analytics

  • Mission: To improve access to analytic tools, techniques, and talent for organizations of all sizes and industries. Chisel Analytics aims to democratize analytics by providing the necessary resources to help businesses become data-driven.

  • Founded: No information is available

  • Founders: No information is available

  • Key People:

  • Ph.D from The Ohio State University in Applied Statistics and Optimization

  • 10+ years of Data Science experience in various companies

  • Headquarters: 5959 Royal Lane, #1348 Dallas, TX 75367

  • Number of Employees: No information is available

  • Revenue: No information is available

  • What the Company is Known For: Chisel Analytics is known for providing end-to-end analytics solutions and qualified talent to companies for data analytics projects. They specialize in recruiting, talent assessment, skill training, and developing analytics strategies.


Products


Overview


Chisel Analytics offers a wide range of products to help organizations harness the power of data analytics.

Detailed Descriptions and Key Features


1. Advisory
  • Description: Consultants help develop and execute data strategies.

  • Key Features: Strategy development, opportunity identification, data management and governance, data applications and analysis, reporting and data visualization.


2. Talent Solutions
  • Description: Allows organizations to find suitable analytics and data talent.

  • Key Features: Permanent placements, temporary to permanent positions, project-based work, skill validation and assessments.


3. Skill Assessments and Training
  • Description: Assesses and upskills both incoming and existing teams in analytics.

  • Key Features: SQL, Statistics, Data Interpretation, Machine Learning & AI, Big Data Engineering, Data Sciences, Visualizations and Report Development.


4. Project Management and Collaboration Tools
  • Description: Tools to manage analytics projects and improve team collaboration.

  • Key Features: Task management, centralized communication, document and data set management, code repository, contractor payment management, NDA processing, recruiting tools.


5. Custom Workshops and Training
  • Description: Custom workshops to train teams on data science and analytics.

  • Key Features: Hands-on courses, deep learning, neural networks, computer vision, machine learning models, feature engineering, exploratory analysis.


6. Computer Vision Solutions
  • Description: Leveraging computer vision and deep learning for various industry applications.

  • Key Features: Object detection and tracking, optical character recognition (OCR), pose detection.


Recent Developments


Highlights


  • New Initiatives

  • Partnership with CourseBricks to provide leading-edge training workshops in data science and analytics.

  • Product Enhancements

  • Advanced collaboration and project management tools to streamline data analytics operations.

  • Enhanced skill assessments focusing on emerging fields like machine learning and AI.

  • New Products

  • Custom Workshop offerings including Hands-on Deep Learning, Real-World Computer Vision, End-to-End Data Science.

  • Launch of advanced project management tools specifically designed for analytics projects.

  • New Features

  • Development of tools for pose detection, object detection, and OCR to enhance computer vision capabilities.

  • New Partnerships

  • Collaboration with CourseBricks to deliver customized training programs tailored to organizational needs.


Industry Applications


Use Cases


  • Healthcare: Digitizing offline documents, automating claims processing, enhancing provider-payer-member lifecycle of information.

  • Manufacturing: Improving safety and ergonomics, ensuring adherence to production standards through object tracking.

  • Energy / Oil & Gas: Digital transformation of production data, enhancing safety through OCR.

  • Agriculture: Forecasting quality and yields via boundary detection.


Contact Information


  • Contact Address: 5959 Royal Lane, #1348 Dallas, TX 75367

  • Email: info@chiselanalytics.com
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