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Production Analytics

Description

We offer comprehensive analytics solutions to optimize production processes, improve efficiency, and reduce operational costs. Our services focus on leveraging data to drive insights and actionable recommendations.

Benefits

  1. Enhanced production efficiency.
  2. Reduced operational costs.
  3. Improved product quality and consistency.
  4. Real-time monitoring and reporting.

Phases

  1. Assessment: Evaluate current production processes and data requirements.
  2. Planning: Develop a tailored production analytics strategy.
  3. Implementation: Deploy and configure analytics tools.
  4. Optimization: Enhance performance and efficiency continuously.
  5. Maintenance: Provide ongoing monitoring and updates

Deliverables:

  1. Customized production analytics strategy.
  2. Integrated analytics and monitoring systems.
  3. Detailed performance reports.
  4. Comprehensive training and documentation.

Client responsibilities:

  1. Provide necessary access and information.
  2. Maintain open communication channels.
  3. Share relevant documentation and processes.

Location

On site and remotely.

SLA

Included with defined performance and service levels.

Includes project management

Comprehensive planning and coordination throughout the project.

Payment frequency

Project-based, monthly, or time and material.

Contract duration

1 year, 3 years, 5 years (against minimum commitment)

Case Study

Study Case: Advanced Analytics for Manufacturing

Overview: Bear Analytica implemented an advanced analytics project for a manufacturing client, focusing on optimizing production workflows, improving efficiency, and reducing operational costs. The project utilized predictive analytics to monitor machine performance, forecast maintenance needs, and streamline supply chain operations. The outcome was a 15% reduction in unplanned downtime and a 11% increase in production efficiency.

Technologies Used: (for a specific case study):

DataRobot, Cloudera, HPE Ezmeral, Apache NiFi, Apache Airflow, and open-source Technologies

Technical Team:

The project was delivered by a team of highly skilled data engineers, data scientists, and analytics experts with extensive experience in manufacturing analytics. The team consists of 4 members with expertise in predictive analytics, machine learning, and industrial data processing. Detailed CVs and additional information about the team

Contact us for information about all our services.