Alyuda Data-Mining Services

Data-Mining Services

Alyuda Data-Mining Services

Why Alyuda Research

Alyuda Research is unrivalled in handling data-mining tasks of any degree of complexity and provides the fullest possible range of top-notch services in this area. Our expertise stems from the tremendous amount of diverse experience, acquired by the company while implementing complex data-mining projects for well-known international clients in different industries, as well as by the ultimate qualifications of our neural network experts. The technological basis of the Alyuda range of data-mining services is provided by the company's proprietary know-how, consisting of completely innovative, incomparably efficient, and successfully proven neural network algorithms and techniques.

The Data Mining Method

Data-mining critically enhances the analytical power of your organization and allows you to achieve a number of goals and important business results that are otherwise unattainable. This proven analysis method has been used by a growing number of the most progressive, successful and technologically advanced companies globe-wide. The method is efficiently applicable to virtually any kind of business data, from address information to sales results. Predictive modeling, conducted based on the data-mining results, provides indispensable insights into the future of a number of business factors and the forthcoming changes in these factors.

Your data is analyzed by us using a number of advanced pattern recognition techniques, such as classification, clustering, association rule mining, and others. Being an industry-leading and innovative company, Alyuda has taken data-mining to new heights. Using our proprietary neural network techniques allows attaining the best possible quality of the analysis, whereby even the most unclearly expressed, but, oftentimes, vitally important hidden patterns are traced and used to your company's advantage.

The Benefits of Data Mining

With data-mining, you will be able to revolutionize and maximally optimize your key business processes by being able to:

Segment your customers according to their level of profitability, thus determining which of them should be paid more attention and strengthening your more profitable business relationships; significantly reduce the rate of the customer churn;
Forecast and evaluate any risks, related to lending, supply and demand, and other critically important business processes and factors.
Achieve an incomparably better segmentation of your customer data base for marketing purposes.

Since one of the major fields of specialization of Alyuda Research is the development of forecasting software and techniques, upon customer's request, our data-mining services can be efficiently and conveniently combined with our forecasting solutions and services. A special strength of Alyuda is its expertise in carrying out data-mining projects for banking institutions.

Data Mining for Banks

Banks are increasingly looking for new ways of improving their performance as a result of the rapid globalization of the economy, increased customer sophistication and the resulting customer churn and attrition, the ever increasing burden of the incessantly introduced new regulations, caused by political instability and turmoil in different parts of the globe, as well as by the newly arisen global threats of which all of us are aware.

Because of their very nature, banking institutions are faced with, affected by, and have to combat all of the problems the new political and other realities are responsible for. At the same time, their main tasks remain the same: banks must remain reliable profit sources for their shareholders and providers of financial resources to the economy. What can help them retain their efficiency and even increase it to broaden their horizons and raise their profitability?

It is obvious that in these conditions information management comes to the fore and it is those banks that respond to the arising challenges faster than others that will survive. Being able to manage the wealth of information any banking institution has stored in a host of different, often geographically diverse systems, databases, and product areas quickly and efficiently is what is key to survival and what data-mining can actually do for you.

Customer Relationship Management

Data-mining allows banks to focus on those customer relationships that are more meaningful to their business. Customer retention can be significantly improved due to the ability to react on time to any negative shifts in the customer base by conducting better organized and targeted campaigns. The reduction of the number of the lost customers and focus on the potentially profitable customer relationships will increase the customer banks' overall profitability. Your marketing efforts will become a lot more cost-efficient and productive.

Lending

Banks will benefit from the ability to better predict the results of their bank-borrower relationships, determining which of their customers are more loyal and profitable, or, conversely, prone to default on their payment obligations.

It will be possible to identify what the main causes of risk are and develop an optimal risk management model. The existing fraud patterns will be uncovered and efficiently dealt with. All this will allow considerably reducing banks' losses on delinquent loans.

The implementation of the part of data-mining known as credit scoring will allow taking banks' risk management practices to a higher level by enabling them to comprehensively evaluate the whole range of risks and possibilities related to each specific customer. The innovative and robust credit scoring tools, offered by Alyuda's sister company Scorto Corp., provide excellent, all-round functionality for application, behavioral, fraud and collection scoring. This software will help you reduce your delinquency-related risks and losses, increase the volume of your loan portfolio due the reduced number of unjustifiably rejected loan applications, facilitate your decision-making process, exercise control over your lending network in the real-time mode.

Operational Performance

By using the analyzed statistical data, banking institutions can streamline or reinvent their business processes, significantly improving their performance indicators. The key performance management processes of your organization, such as planning, monitoring, personnel development, rating and rewarding can be sharpened to perfection.

Data mining can be used to critically improve a bank's funds management processes. Reservation of funds can be optimized to exclude reservation of surplus funds and any possible shortages of funds. Major improvements can also be expected in your deposit management (amounts, terms, and so on).

By using Artificial Intelligence-powered data-mining solutions from Alyuda Research, you will be able to turn your wealth of otherwise useless information into wealth of a different kind, - monetary wealth.