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Predictive analytics solutions and intelligent applications.

Data mining helps the extraction of implicit, previously unknown, and potentially useful knowledge from data.

Useful knowledge means actionable knowledge, that is, knowledge that enables a decision maker to implement a business or marketing strategy. This extraction is a powerful technology with great potential to help companies focus on the most important information in their data warehouses.

Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems.

Data mining tools can answer business questions that traditionally were too time consuming to resolve in the past.

About

About us and Machine Learning

We are a team of professionals dedicated in delivering high quality total solutions to the Business Community.

Machine Learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciples on data, within the world of statistics and data science.

The barrier to entry has been high in the past, in terms of money-cost but also in the need for specialized talent. In the past, data science professionals were intimidated by the words “algorithms” and “machine learning statistics.” For many years these capabilities were delegated to people with PhDs, experts and gurus. That was before Open Source.

Today this perception is changing. The perception of these key functions changes rapidly by democratizing computer learning at the same time.

There are tools now that are open-source, whole computing frameworks, that have all the features required to use or develop algorithms and machine learning models. They include sets of core libraries and machine learning models and include sets of libraries that enable various analytic methods, which can process data from many sources. These tools have found traction at all levels, from startups to large enterprises and industries.

Python, R, RapidMiner, Orange, Apache Spark, Java, Javascript, TensorFlow, to name a few, have dedicated libraries for common machine learning and statistical algorithms that have become the gateway technology to machine learning. Just as web browsers opened up the internet and brought us up to the digital era, open source frameworks is democratizing machine learning now.

Thus Machine Learning is now entering the mainstream, serving as the backing methodology for competitive advantage in a wide array of industries, from retail to finance to security, from telecommunications to consumer goods to sport teams to space explorers.

And this is happening now and unimaginably fast.

Apps

Applications

Credit Control

Credit Control

Reduce credit risk and operational costs by monitoring and automating processes during the customer lifecycle management. Pursue the overall goal of credit and collections and regularly turn invoices into cash within the payment terms.

Collections

Collections

Dunning should guarantee debt payment. But Dunning is cost intesive, main cost drivers are actions within the dunning process and the costs are induced in customer care As Dunning drives customer staisfaction down, this can lead to voluntary churn. Dunning can also lead to involuntary churn Therefore Dunning should be handled with care:

by avoiding that customers pay late
if customers get into dunning, issues should be resolved as fast as possible, and
both parties should be satisfied
It is necessary to analyze the reasons why a customer pays late and treat him accordingly.

Fraud Management

Fraud Management

Fraud and revenue assurance is a major issue within the telecoms industry, directly impacting revenues. Currently, most network operators utilise fraud mitigation tools which use rules based logic to identify fraudulent behaviour. However, supervised machine learning is now being used to develop algorithms that can automatically identify activity as fraudulent or non-fraudulent. Machine learning may also offer the potential to spot early trending anomalies associated with criminal behaviour.

Machine Learning Applications

Machine Learning Applications

The case of Telecoms

Machine learning has become the catchphrase, and with good reason; Google is using it to block spam, Morgan Stanley is using it to suggest trades, and hospitals are even using it to predict Sepsis. And machine leaning in the Telecoms industry is no exception, with CSPs investing in novel machine learning applications with the hope of reaping the benefits in the near future. In this blog we take a look at 5 machine learning applications that are beginning to emerge within the telecoms sector.
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Social Media

Social Media

Social media generates massive amounts of data every second, which is caused by their widespread adoption over the past few years. This tech innovation has enabled new ways of communicating thus creating also new opportunities. New effective and advanced processing technologies have emerged capable of finding valuable patterns and insights from this data.

Customer Base Segmentation

Customer Base Segmentation

The Challenge

One of the most important challenges a marketing department faces is customer segmentation. This is due to multiple data sources and different business needs. Thus IT has to prepare the data and modify the model to fit each business scenario manually. Time and money is lost in the process. More...

Web Design/Application Coding

Web Design/Application Coding

We can help you with your everyday tasks:

  • Web Design Services

  • Applications Building Solutions for Any Industry

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News

Python 3.8.0 is now available

On behalf of the Python development community and the Python 3.8 release team, I’m pleased to announce the availability of Python 3.8.0. Python 3.8.0 is the newest feature release of the Python language, and it contains many new features and optimizations. You can find Python 3.8.0 here:https://www.python.org/downloads/release/python-380/ Most third-party distributors of Python should be making …