Friday, May 30, 2014

Data Mining With SQL Server 2012 and Beyond – Practical uses



Given the potential of data mining to give you actionable insights from your enterprise data; organizations are looking at incorporating specialized tools to skim their data repositories for patterns. With SQL Server 2012, Microsoft has unleashed data mining and predictive analysis tools within its flagship RDBMS package. Let’s look at some of the practical benefits that it can offer.


Powerful Algorithms help you gain an oversight on churn

In any large organization, say telecom service providers, certain number of users tend to leave the company after period of time. Using SQL Server’s predictive analysis, you can quickly get a heads up on customers who can possibly cancel their subscriptions in near future and even narrow down on key benefits that can be extended to them in order to retain their accounts.


Gain Product Placement insights

If you happen to be a retailer or an online store which sells goods, you may find that certain of your products are often taken together by customers. SQL Server allows you to focus on such patterns and improve your product placement plans.


Predict Bottlenecks in Inventory

Data mining can also be used to identify possible inventory bottlenecks that can arise in future in certain geographical zone or product line based on sales patterns and production numbers.


Detailed Market Position

The SQL Server predictive analysis feature can also be used to determine the current position of your product in the market as compared to your peers and identify key market segments. It can give you accurate insights about customer segments based on their behavior and even help you tailor your outreach campaigns.


Understand Customer behavior over different terms

As a business it is often critical for you to know how your customers are changing their buying pattern over a period of time. With the help of data mining you can receive long term predictions related to consumer behavior while keeping an eye on changes expected in near future.


Extend Analysis to your web portal and marketing campaigns

SQL Server even allows you to study the usage pattern of your website and evaluate how your visitors are interacting with different content and offerings. The application can quickly identify usage patterns amongst your visitors and help you create a superior experience for your customers. Moreover you can use its intelligent features to streamline your marketing activities and focus on specific target audiences which are likely to bring better results.


Remaining prepared for contingencies

While the SQL Server 2012 and its newer iterations are highly reliable, they do have a few loopholes. In an event of a SQL crash, chances of data loss still exists and this where a sql recovery tool like DataNumen SQL Recovery comes to play. Relying on its powerful recovery engine, this effectual tool can get back your compromised data within a brief span of time with minimum effort. Moreover the data can be extracted without any restrictions of size or underlying media type.




Author Introduction:

Alan Chen is President & Chairman of DataNumen, Inc., which is the world leader in data recovery technologies, including access recovery and sql recovery software products. For more information visit http://www.datanumen.com/

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