Analytics

“Data per se does not provide value”

We convert data into information

From Big Data we have moved on to Artificial Intelligence (AI) when reality has established itself, “data per se does not provide value.”

Under the label of “Artificial Intelligence” practices are being grouped that have already been carried out in companies for many years and some more recent ones that have been able to be implemented when the computing capacity of the machines has not been a limitation.

The AI practices most commonly reported by clients are:

  • Predictive modeling.
  • Discovery.
  • Machine learning.
  • Optimization.
  • Stochastic modeling.
  • Dynamic systems.

Any company can generate basic statistical data such as the average or standard deviation.

But companies that want to “Lead the Analytics Competition” have to implement advanced data management techniques.

Synaps is AI + Blockchain for
evidence-based decisions

Cloud Computing

The on-premise CRM is a CRM solution hosted on your company’s own servers. That is, it is a self-hosted CRM on your own servers, instead of going to the cloud. Today there are two types of local CRM: Open Source Code.

Big Data

We implement CRM solutions on demand through our partners. Use the necessary resources for your company based on the needs that your company has at all times, thus optimizing resources and costs.

Analytics

At Autana we propose to take a step back, learn from the past, apply good practices and use technology as a lever for business development.

SECTORS

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Industry & Automotive
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Financial Services
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Oil, Gas and Energy
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Travel, Logistics and Transportation
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Consumer Goods
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Life Sciences & Health
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Telecommunications
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Packaging

SERVICES

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Analytics
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Marketing Digital
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Cloud Computing
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Customer Engagement
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Data Management
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Training