Archive for the ‘Data Mining’ Category

More “Business Intelligence” and less “Business Negligence” for businesses

Thursday, February 18th, 2010

Data Mining when implied smartly and correctly in your day to day business,is named Business Intelligence. According to Mr. Kevin Falconer, GM of local storage and networking distributor, Channel Data,” Most dealers and resellers are awash with valuable data that could make a significant difference to their bottom line, if used correctly.”

Data mining means extracting patterns from existing data. If this extraction process is applied to corporate industry many fruitful results can be seen. If, in a business administration or organisation, one keeps a note of the Sales, Market research, Customer’s requirements and complaints encountered and then mine this data to predict or identify patterns to understand the correct requirements of the customer and further fulfilling them. This will help boost the business and improve customer relationships.

This combination of data ming and business management is becoming cheaper as the computers and large storage disks used in this process are easily available now and at affordable prices. But, this process may also lead to the shifting of focus of providing service from the most profitable (minority) less percentage of customers to less profitable (majority) highly demanding customers. It is therefore vitally important to recognise profitable customers, and the characteristics that define them, Falconer argues. For example, changes in their purchasing behaviour can either present an opportunity to follow the trend, or a threat the company will promptly have to address. Accurate, up-to-date customer information will give sales staff many cross-sell, up-sell, and repeat-sales opportunities, he concludes. Unfortunately, this data is rarely analysed or put to productive use because many small business owners often neglect to apply core marketing principles to attract and retain clients.
As more and more data is mined and converted into knowledge historical patterns will crystalline and trend lines will become evident. Data mining, integrated into modern customer relationship management solutions are already enabling IT reseller businesses to grow the ‘lifetime value’ of their customers and so assume leadership positions in the IT industry – whether their target market is individual end users or corporate clients. Now which strategy will you choose? The good old Business Negligence or the fast developing Business Intelligence. When you have success at your door step.. Why not opening up the door instead of ignoring it?

[IT WEB]

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Siri…from Search to Assistance and the road ahead!

Sunday, February 7th, 2010

Now that you have watched the video, you can observe that,  Siri understands what you say, accomplishes tasks for you and adapts to your preferences over time. You can ask Siri questions naturally just as you will ask your assistant,like ” Book a ticket for London!” or ” Will it snow today?”. It understands information like where you are, what accounts you have on various services and the context of the last question you asked. Over time ,Siri will improve by getting to know you better and understand a broader set of tasks and soon you’ll trust it to manage many personal details in your life – from recommending a wine you might enjoy to managing your to do list.

The current version of Siri is built for iPhone 3GS and requires iPhone OS 3.1 or later. Soon, Siri will run on the iPod Touch, iPhone 3G and additional mobile platforms, as well.

Siri can get you information about Restaurants, Airline Tickets, Events, Taxis, Movies, Local and Weather Forcasts in a very simple conversation. Siri is the first Mobile Application which acts as a Virtual Personal Assistant. Its an intelligent software agent designed to have a back-and-forth conversational interaction with you as it helps you get tasks done.  The creation of Siri is a joint effort of designers and engineers pooled in from various all star organisations like Google, Yahoo, Apple, Motorola, Netscape, eBay, RealTravel, SRI, NASA, and Xerox PARC.

“In terms of long-term predictions, Siri is actually an easy bet.” – The New York Times.

“It’s the closest thing to a real assistant that you can talk to that I’ve ever seen.”- Vator News

To download this iPhone application visit :

http://siri.com/download/

For more details visit :

http://siri.com/

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SAS: Leader in Predictive Analytics

Saturday, February 6th, 2010

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.  SAS predictive analytics and data mining solutions were evaluated by Forrester against 53 criteria in three categories through vendor surveys, product demonstration and vendor-reference interviews. SAS earned top overall ranking in all three categories — current offering, strategy and market presence — including perfect scores for functionality, professional services, licensing and cost, direction, and company financials criteria and has been named a leader among nine vendors in The Forrester Wave: Predictive Analytics and Data Mining Solutions, Q1 2010.

Today’s industry generates large volumes of data from all sectors such as  financial, retail,  factory, call centers, and customer products,  and so forth, SAS Analytics lets them realize the value within these growing volumes of data.

[Read more @ SAS]

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Tweet-o-Meter is fun

Tuesday, February 2nd, 2010

Image: http://www.casa.ucl.ac.uk/tom/ [Retrieved Feb 2, 2010]

The new Tweet-o-Meter is used to measure and visualize the amount of tweets sent around different cities. This tool allows us to pull in every 30 km area of any urban area. At the moment, the system can visualize New York, London, Paris, Munich, San Francisco, Barcelona, Oslo, Tokyo, Rome, Moscow and Sydney.

Tweet-o-Meter mines the data for later analysis relating to furthering our understanding of social and temporal dynamics for e-social science within the twitter demographic. The research is undertaken at CASA, university college London as a part of a wider survey tool as part of the NeISS project being coded by Steven gray, in association with urban Tick and Digital Urban.

The Tweet-o-Meter currently in beta mode updates every 10 seconds by displaying the city with highest number of tweets. A wider ranging system is being launched as part of a free data collection service via NeISS in the next couple of months.

It would be really cool to have real time graphs below which show either a daily or an hourly trend of the twitting happening around the world.

Is it true that, “New York is the city that never sleeps!”? Do Londoners send more Tweets than New Yorkians’? Is Oslo a bigger Tweeter than Munich? Is Tokyo as much into Tweets as Barcelona? Has San Francisco calmed down after all that talk about the iPad? Tweet-o-Meter Knows! But when will the Tweet-O-Meter enlighten us on this information? We should eagerly wait and watch.

Click on the link to visualize Tweet-o-Meter:

http://www.casa.ucl.ac.uk/tom/

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