Data mining or Predictive Analysis
also known as Knowledge Discovery in Databases (KDD) is an automated process to reveal hidden and interesting information in large quantities of data. While the business complexity continuously increases, the same does quantity and complexity of data. As it is harder to find information in gathered data, the need for methods of intelligent machine-supported and expert-supported data analysis also increases. The demands for data mining is becoming more popular for the businesses in competitive areas. For a variety of business areas this type of research on the business data is the best way for improvement of the business services. The most successful businesses are usually those that evolve to keep pace with their surroundings. If you’re struggling financially, you might be tempted to stop spending on advertising and developing completely. In fact, you may be better off re-targeting your efforts and focusing to put in use all you have to get best out of it. We are specialising in a bespoke online tools that capture clients on your website.
Data mining service
It is essential to understand exactly who your customers are and target them specifically helping them to find most about your offering when they are on your website. The information from your website traffic should be analysed and included in your online strategy.
The exapmples of the areas where Data Mining can be used:
Sales analysis
If you sell anything you know how important it is to know how to promote products. As there exist patterns in the sales, it is possible to find out which products people buy together. Reduce unsuccessful promotions, find out what customers need and sell more products.
Churn analysis
There are situations when even loyal customer could change its business partner. Churn analysis could help you identify these customers before they go to your competitors. Keep your customers with you and do not lose their loyalty.
Customer profiling
According to Pareto rule only 10% of your customers generate 90% of your income. This analysis will help you to identify the key customers. You could prepare special offers for them. Moreover, you could divide your customers onto several groups according to their age or interests.
Employees profiling
A success of each company lays in hands of its personnel. Analysing personnel data you can find a bright star among them or a weak link, decreasing overall performance. In the result of this analysis you could train employees with low performance and reward the ones with high.
Messages segregation
When you receive a vast number of messages it is important to segregate them to right branches of the company. With automatic segregation mechanism all coming messages will be sent to right employees. It will reduce number of messages resend among employees or waste of time due to manual segregation.
Financial performance analysis
Have you wanderer why financial crises happen? The answer is very simple – without financial knowledge investing becomes emotional and often irrational process, when economy verifies the market, a crisis starts. Therefore, you need an automatic financial performance analyser to evaluate companies' financial standing.
Weblog analysis
Have you invested in an advanced website, but not many users read it? Maybe they cannot find materials where they were supposed to be? Log analysis of website usage will find out patterns of usage and help in creation of a proper website structure. Sections of website will be generated more naturally or suggested links could be presented to the user.
To start the analysis please consider following questions:
o What problem could be solved by the data analysis?
o What do you expect from this analysis? Better customare understanding, lower costs or forecasting ability?
o Who will be using it in your company - whose emplyees? Do they have skills to understand charts or details information or do they require an easily understandable suggestion?
o Are there any procedures used in this task? Can you form their precise rules?
o Are there any repositories that could be used as the data sources?
o Should the developed solution be integrated with any existing software?
If you are interested in finding more about this service and your business can benefit from it please contact us.
