Banking DNA

Banking DNA offers visually rich infographics that detail customers’ backgrounds. Instantly find out what type of customer they are, what style of banking they prefer, and which offers and services they would be most likely to respond to.

With the vast amount of different types of bank accounts and insurance policies in modern banking, banks often require a lot of investigation into potential clients to discover what type of customer they are. Banking DNA solves this problem.

Deposit Coin British Cash Bank Stack Business 20795 Banking
fotolia 122786926 s Banking


Folksonomy is a next-generation tagging system that allows you to mine your data sets and gives you the information you’re looking for in an instant.

With massive archives of structured, semi-structured, or unstructured data, our folksonomy system applies intelligent tags to your data so you can get immediate answers to any query.

Hardware failure prediction

Predictive data analytics maintenance eliminates downtime and reduces operating costs. The Big Data engine collects data during the normal operation of machine tools: temperature, vibration, acoustic, forces, deflections and similar inputs.

The Machine Learning algorithms analyze the trends of machines which did not fail and compares it with machines that failed, for predicting what’s next. The analytical model is enriched by including external data such as weather, bank holidays, city events or economic activity.

Hardware failure prediction
Real Time Analytics. Internet of Things

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.

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.

An example of the microsoft tool in our Power BI tutorial
Big Data Analytics, a Business Intelligence service

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.

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.

Machine Learning algorithms

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

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.

Identify potential customers

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.