General FAQs
Microsoft FAQs
The Top Frequently Asked Questions
What Is Data mining?
Data mining helps uncover hidden patterns and relationships in large amounts of data. It uses artificial intelligence and other analytical technologies to turn the data you have at hand into valuable knowledge for the benefit of your enterprise. In the past, efficiently mining the mountains of data that you were storing would have been an impossible task, due to manpower and time constraints. The power of data mining has now eliminated such limitations, effectively unlocking the full potential of the wealth of intelligence buried in your data. By knowing far more than your competition, your enterprise will gain a powerful advantage to achieve even greater success.
Why Data Mining?
When you derive better accuracy in information, you have the power to make better decisions. If the future of your business depends on you delivering right predictions based on sound judgements derived from data, you'll need data mining. Your company will benefit, for example, on which prospects are likely to become profitable customers and which are most likely to respond to your products or services. Your ROI will increase as will your bottom line should you base your decisions on clear business intelligence, and not just on instinct or gut reactions.
Your data won't come to you with the reliable information you need. That doesn't mean you can't go to them for it. To do that, you'll need to draw the expertise from a reliable source that provides customised solutions every stage of the data mining process. Integral Solutions (Asia)
is that source.
What Business Problems Does AIM Solution Solve?
Almost all analytical problems associated with data can be solved using data mining. You could use it to:
· Increase sales and overall profit
· Understand customer needs and requirements
· Identify and acquire new customers while providing better services to existing ones
· Enhance customer loyalty
· Lower business costs and increase your return on investment
· Increase cross-selling and up-selling
· Detect fraud, waste and abuse
· Decrease credit risks
· Increase traffic flow to Web sites and business locations
· Monitor marketing and business performance
· Predict churn
· Perform retail basket analysis
· Understand failure patterns
· Predict yield
· Profile medical treatments
How Has Integral Solutions Helped Their Customers Solve Their Business Problems With Data Mining?
Our in-depth knowledge of data mining disciplines has helped hundreds of companies achieve successful results in many business areas.
Here are some examples of how we have made an impact:
· Helped banks to analyse cross selling opportunities for time deposit
· Helped banks to target cross selling opportunities for unit trust products
· Helped banks to identify profiles of profitable credit card customers
· Helped banks to identify fraudulent banking transactions
· Helped banks to identify profiles of housing loan early redemptions
· Helped telcos to identify profile of churn customers
· Helped telcos to predict churning customers
· Helped telcos to cross sell services
· Helped logistic companies to analyse the factors affecting their productivity
· Helped insurance companies to analyse risk factors in insurance claimed
· Helped insurance companies to target new customers
· Helped governments to analyse tax related issue
· Helped governments to analyse defence related issue
· Helped governments to analyse crime related issue
· Helped doctors to analyse factors affecting treatment
· Helped manufacturers to understand failure patterns
· Helped manufacturers to increase yield.
How Do I Get Started?
You begin by identifying the business problems that can be solved by data mining. Then contact Integral Solutions to learn about the solutions that we have for your organisation. Our services are unique in that we customise our solutions to meet your problems. We combine data mining products and services to give you exactly what you need to find the answers in your data, building systems to suit your analytical and monitoring processes.
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