TRANSFORM YOUR BUSSINESS WITH THE POWER OF BIG DATA
Enterprise engineering data solutions
What does data engineering involve?
It’s the process of collecting, analyzing, and presenting data to support decision-making. Our data engineers specialize in transforming large volumes of data into clear, secure, and readily available information, all in record time.
How can it benefit my business?
The Power of Data-Driven Transformation boost competitiveness, optimize processes and increase operational efficiency
Better customer understanding
You can identify behavior patterns, preferences, and needs. This allows you to personalize your products and services, enhance the customer experience, and boost loyalty.
Process optimization
Uncover inefficiencies in your processes and identify opportunities for improvement. You can automate tasks, reduce costs, and increase productivity.
Trend prediction
Identify trends and patterns that help you anticipate market changes and make proactive decisions.
It is done from various sources, the most common being databases, APIs, files, IoT devices, or data streams. These can be internal, external, or a mix of both.
Data is cleaned, transformed, and prepared for analysis. Statistical techniques and machine learning are applied to extract valuable insights.
This involves creating interactive and dynamic visualizations that allow for exploring data from multiple perspectives.
You can identify behavior patterns, preferences, and needs. This allows you to personalize your products and services, enhance the customer experience, and boost loyalty.
We illustrate you with this interactive case study
Interact with the cursor to see how it works
Bitcoin Data
Real-time data is sourced from a Stream source called Gemini. Several values of Bitcoin are received for every minute.
These values are summarized in three values for each day:
The value with which it starts, the value with which it ends and the average of all values.
On the other hand, historical values of Bitcoin are obtained for each day for several years. This allows you to have minimum, maximum and average values for each particular day.
With the combination of this information, graphs are obtained that comparatively show the value of the last days of Bitcoin, in relation to historical trends.