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By adopting eco-friendly and digital solutions across production, operations, administration, marketing, and sales, businesses can reduce their environmental impact while enhancing and market appeal. Embrace these efficiency strategies to position your company at the forefront of the green economy. Embrace these strategies to position your company at the forefront of the green economy.

OUTBOUND LOGISTICS

Activities involved in converting the inputs into finished products and services. This includes manufacturing, assembling, packaging and testing.

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CUSTOMER SERVICE

Supporting and enhancing the product or service after sale, including customer support, warranties, repairs and maintenance.

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OPERATIONS

The process of transforming inputs into finished goods or services, including tasks like manufacturing, assembling, packaging and testing.

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MARKETING & SALES

Promoting and selling products or services through activities like advertising, sales efforts, pricing and managing distribution channels.

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INBOUND LOGISTICS

 Receiving, storing, and managing materials or inputs that are essential for the production process.

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INFRASTRUCTURE

Company-wide systems and structures that support the entire value chain, such as finance, accounting, legal and organizational structure.

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HUMAN RESOURCE MANAGEMENT

Recruiting, training and managing the company's workforce.

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TECHNOLOGY DEVELOPMENT

Engaging in research, innovation and technological advancements to improve products or services.

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PROCUREMENT

Sourcing and purchasing materials or inputs required for production.

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Introduction to data analytics in manufacturing
Country: Czech Republic

Focus area:Digital

Thematic area: AI & Data Analytics

Specific technology / method: Data Analytics

Type of service provided: Descriptive Analytics

Addressed market areas: Metal, Machinery & Equipment

Training objectives – gained knowledge after completing the training

After completing the training, participants will be able to: - understand basic principles of data analytics in manufacturing, - work with and interpret production and operational data, - identify variability, trends and basic relationships in data, - correctly interpret analytical results to support process and quality improvement, - formulate relevant analytical questions for further data-driven decision-making.

Who can benefit from the training

Manufacturing companies (small and medium-sized enterprises), process engineers, quality engineers, production managers and technical staff working with production and operational data.

Value and impact of the training

1 day

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Provider of service