{"id":11939,"date":"2024-11-21T13:00:53","date_gmt":"2024-11-21T12:00:53","guid":{"rendered":"https:\/\/www.aemtia.com\/?page_id=11939"},"modified":"2024-11-21T13:03:09","modified_gmt":"2024-11-21T12:03:09","slug":"data-analysis-advisory-service-basic","status":"publish","type":"page","link":"https:\/\/www.aemtia.com\/en\/data-analysis-advisory-service-basic\/","title":{"rendered":"Data Analysis Advisory Service (Basic)"},"content":{"rendered":"\n
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Data Analysis Advisory Service (Basic)<\/h1>\n\n\n\n
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SERVICE DESCRIPTION:<\/h4>\n\n\n\n

Our plan is designed for SMEs that need a tailored approach to data analysis. We evaluate the necessary investment and measures to adopt effective data extraction and analysis processes.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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TARGET:<\/strong><\/h4>\n\n\n\n

We train SMEs so they can implement and use a data analysis plan adapted to their specific needs. We provide them with the best advice to choose the most appropriate technological tool, optimizing their costs.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Segment A<\/h2>\n\n\n\n

Between 10 and less than 50 employees<\/p>\n\n\n\n

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6.000\u20ac<\/strong><\/p>\n<\/div><\/div>\n\n<\/div>\n\n

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Segment B<\/h2>\n\n\n\n

Between 50 and less than 100 employees<\/p>\n\n\n\n

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6.000\u20ac<\/strong><\/p>\n<\/div><\/div>\n\n<\/div>\n\n

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Segment C<\/h2>\n\n\n\n

Between 100 and less than 250 employees<\/p>\n\n\n\n

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6.000\u20ac<\/strong><\/p>\n<\/div><\/div>\n\n<\/div>\n<\/div><\/div>\n\n\n

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ACTIVITIES:<\/h4>\n\n\n\n
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1. Identification<\/strong><\/p>\n\n\n\n

Identification of SME data that improves understanding of the
available information.<\/p>\n<\/div>\n\n\n\n

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2. An\u00e0lisi<\/strong><\/p>\n\n\n\n

Analyze the different options for artificial intelligence tools to
exploit and visualize the data, recommending the one that best suits the situation
of the company and the investment necessary for its adoption.<\/p>\n<\/div>\n\n\n\n

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3. Information<\/strong><\/p>\n\n\n\n

Establish valuable information from the data processing with algorithms
artificial intelligence.<\/p>\n<\/div>\n\n\n\n

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4. Advice<\/strong><\/p>\n\n\n\n

Specific advice on the exploitation of data through the
chosen tool.<\/p>\n<\/div>\n\n\n\n

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5. Development and use cases<\/strong><\/p>\n\n\n\n

Development and execution of a use case adapted to the business in data analysis.<\/p>\n<\/div>\n\n\n\n

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6. Use of Artificial Intelligence<\/strong><\/p>\n\n\n\n

Identification of opportunities or possible uses of AI in the field of analysis of data.<\/p>\n<\/div>\n<\/div>\n\n\n\n