How do we do it

We implement our own project methodology, an external data lake and a powerful technological stack.

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What is a Machine Learning model?

Machine learning is a discipline of data science that uses machine learning algorithms to make predictions or identify patterns in a large amount of data. RockingData models use these algorithms to solve specific business problems, automating and enhancing decision-making capacity in organizations.

We develop and implement machine learning models for companies in the various industries and stages in terms of data maturity. From these experiences we design a project methodology, a lake of external data to enrich the models and a technological stack to ensure the success of the solution.

3 out of 4 companies that implemented Machine Learning increased their sales and customer satisfaction by 10% or more.

12-23% increase in effectiveness of campaigns powered by Machine Learning.

40% is the estimated improvement of productivity using Machine Learning

Sources: adobe / pecan.ai / survey-bi 

Programs that make smart decisions: 

Analyzing many variables

Quickly and scalable

Adapting to changes

We collect data from your organization, enrich it with external data, and develop Machine Learning algorithms to find the one that makes the best prediction.

We make that knowledge available through dashboards, APIs and databases so you can make smarter decisions.

Activating that knowledge with marketing campaigns, personalized support for your clients or ensuring the efficient use of resources.

RKDmethod

Standardized process with the best practices of Machine Learning.

1

Clear reach from moment zero

We find a way to align your multi-disciplinary team with ours and reduce project risks while maintaining clear objectives and fluid communication.
2

Agile methodology

We use tools that allow us to be constantly updated on the status of tasks, we have goals for each meeting and supporting documents. In turn, we adjust to the capacity and availability of your equipment.
3

Focus on the result

We are focused on measuring results of each action and being transparent with each progress. Machine Learning projects are iterative and together we will achieve the best results.

RKDlake

External data to generate new knowledge.

1

Enrich your analysis

We collect data from some external sources, both open and private, in order to improve the precision and robustness of the models.
2

Agile Access

External data is constantly updated and the process of crossing with your internal data is automated and secure.
3

Actionable information

We develop our own logics and models to generate information from external data, which serve to draw quick and actionable insights.

RKDstack

The best technology at your hands.

1

We adapt to your technology

We are technologically agnostic. We work with cloud and on-premise solutions, all data storage, management and visualization tools.
2

Open Source Code

We encourage the use of Open Source tools, our models are developed in Python and R code.
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