Real Time Analytics. Internet of Things

Ingest millions of city events and gain insights in real-time, with Stream Analytics and Event Hub Analytics technologies.

About Internet of Things (IoT) scenarios, such as real-time remote management and monitoring or gaining insights from city sensors and devices like mobile phones. Machine learning identifies anomalies and when a specific error or condition appears it triggers alerts and takes intelligent actions, in real-time.

Real Time Analytics. Internet of Things
An example of the microsoft tool in our Power BI tutorial

Power BI

Get the most out of your business. Work intelligently.

Power BI is the most complete suite of business analytics tools which converts complex amounts of data into rich visuals. With the help of Power BI you will be more knowledgeable about the intricate details of how your company is operating, helping you to get answers quicker and easier, and make better decisions.

Big Data

See the bigger picture. Be informed.

There’s a lot more information being created in the world by almost everything that people do, yet so much of this data goes unacknowledged and unused. Much of this data is too vast for any human to organise or utilize. Our Big Data solutions are here to solve that problem by letting complex algorithms organise this data instead, giving us in turn a much more complete picture of what we’re looking at – discovering market trends, predicting market behavior, and identifying new revenue streams are just some of the possibilities with Big Data.

Big Data Analytics, a Business Intelligence service
Machine Learning algorithms

Machine Learning

Make reliable future predictions for your industry using predictive analytics.

Machine Learning let’s computers learn and analyse data and offer predictions based off their findings, without being explicitly programmed to do so. Machine Learning works by allowing the machines the algorithms they need to set in motion the learning process and recognise patterns in huge swathes of data. The power of this technology can be used to uncover hidden insights that would be impossible to find otherwise.

Enhance Customer Satisfaction, Loyalty, & Profit

Machine learning solution that makes a model of the clients’ life cycle. It correlates corporate data with external data like competitor’s location, incomes, type of home, influence level, etc.

Strategic concepts: Customer segmentation, generic or profit oriented. Customer journey, spending capacity based on their earnings and the services they can consume

Identify Potential Customers

The strategic segmentation of customers let us link the target profile with the lead generation by data management services.

This machine learning solution integrates with classic management models based on lead acquisition or acquisition campaigns (email, mailing, call center, etc.)

It also integrates with Display Advertising services to amplify audiences and generate leads.

Map the best store locations

The store is the direct point of contact with the customer, so it is a critical factor within the strategy.

Correlating these different sources of data, with artificial intelligence algorithms, we can analyze different strategic views: Cannibalizing between stores, Holes in the market, Sales potential, Micromarketing focused on the store, Expansion planning, etc.

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