Customer Relationship Management (CRM) Using Data Mining Services

In today's globalized marketplace Customer relationship management (CRM) is deemed as crucial business activity to compete efficiently and outdone the competition. CRM strategies heavily depend on how effectively you can use the customer information in meeting their needs and expectations which in turn leads to more profit.

Some basic questions include - what are their specific needs, how satisfied they are with your product or services, is there a scope of improvement in existing product/service and so on. For better CRM strategy you need a predictive data mining models fueled by right data and analysis. Let me give you a basic idea on how you can use Data mining for your CRM objective.

Basic process of CRM data mining includes:
1. Define business goal
2. Construct marketing database
3. Analyze data
4. Visualize a model
5. Explore model
6. Set up model & start monitoring

Let me explain last three steps in detail.

Visualize a Model:
Building a predictive data model is an iterative process. You may require 2-3 models in order to discover the one that best suit your business problem. In searching a right data model you may need to go back, do some changes or even change your problem statement.

In building a model you start with customer data for which the result is already known. For example, you may have to do a test mailing to discover how many people will reply to your mail. You then divide this information into two groups. On the first group, you predict your desired model and apply this on remaining data. Once you finish the estimation and testing process you are left with a model that best suits your business idea.

Explore Model:
Accuracy is the key in evaluating your outcomes. For example, predictive models acquired through data mining may be clubbed with the insights of domain experts and can be used in a large project that can serve to various kinds of people. The way data mining is used in an application is decided by the nature of customer interaction. In most cases either customer contacts you or you contact them.

Set up Model & Start Monitoring:
To analyze customer interactions you need to consider factors like who originated the contact, whether it was direct or social media campaign, brand awareness of your company, etc. Then you select a sample of users to be contacted by applying the model to your existing customer database. In case of advertising campaigns you match the profiles of potential users discovered by your model to the profile of the users your campaign will reach.

In either case, if the input data involves income, age and gender demography, but the model demands gender-to-income or age-to-income ratio then you need to transform your existing database accordingly.


Source: http://ezinearticles.com/?Customer-Relationship-Management-%28CRM%29-Using-Data-Mining-Services&id=4641198

Unraveling the Data Mining Mystery - The Key to Dramatically Higher Profits

Data mining is the art of extracting nuggets of gold from a set of seemingly meaningless and random data. For the web, this data can be in the form of your server hit log, a database of visitors to your website or customers that have actually purchased from your web site at one time or another.

Today, we will look at how examining customer purchases can give you big clues to revising/improving your product selection, offering style and packaging of products for much greater profits from both your existing customers and an increased visitor to customer ratio.

To get a feel for this, lets take a look at John, a seller of vitamins and nutritional products on the internet. He has been online for two years and has made a fairly good living at selling vitamins and such online but knows he can do better but isn't sure how.

John was smart enough to keep all customer sales data in a database which was a good idea because it is now available for analysis. The first step is for John to run several reports from his database.

In this instance, these reports include: repeat customers, repeat customer frequency, most popular items, least popular items, item groups, item popularity by season, item popularity by geographic region and repeat orders for the same products. Lets take a brief look at each report and how it could guide John to greater profits.

    Repeat Customers - If I know who my repeat customers are, I can make special offers to them via email or offer them incentive coupons (if automated) surprise discounts at the checkout stand for being such a good customer.
    Repeat Customer Frequency - By knowing how often your customer buys from you, you can start tailoring automatic ship programs for that customer where every so many weeks, you will automatically ship the products the customer needs without the hassle of reordering. It shows the customer that you really value his time and appreciate his business.
    Repeat Orders - By knowing what a customer repeatedly buys and by knowing about your other products, you can make suggestions for additional complimentaty products for the customer to add to the order. You could even throw in free samples for the customer to try. And of course, you should try to get the customer on an auto-ship program.
    Most Popular Items - By knowing what items are purchased the most, you will know what items to highlight in your web site and what items would best be used as a loss-leader in a sale or packaged with other less popular items. If a popular product costs $20 and it is bundled with another $20 product and sold for $35, people will buy the bundle for the savings provided they perceive a need of some sort for the other product.
    Least Popular Items - This fact is useful for inventory control and for bundling (described above.) It is also useful for possible special sales to liquidate unpopular merchandise.
    Item Groups - Understanding item groups is very important in a retail environment. By understanding how customer's typically buy groups of products, you can redesign your display and packaging of items for sale to take advantage of this trend. For instance, if lots of people buy both Vitamin A and Vitamin C, it might make sense to bundle the two together at a small discount to move more product or at least put a hint on their respective web pages that they go great together.
    Item Popularity by season - Some items sell better in certain seasons than others. For instance, Vitamin C may sell better in winter than summer. By knowing the seasonability of the products, you will gain insight into what should be featured on your website and when.
    Item Popularity by Geographic Region - If you can find regional buying patterns in your customer base, you have a great opportunity for personalized, targeted mailings of specific products and product groups to each geographic region. Any time you can be more specific in your offering, your close percentage increases.

As you can see, each of these elements gives very valuable information that can help shape the future of this business and how it conducts itself on the web. It will dictate what new tools are needed, how data should be presented, whether or not a personal experience is justified (i.e. one that remembers you and presents itself based on your past interactions), how and when special sales should be run, what are good loss leaders, etc.

Although it can be quite a bit of work, data mining is a truly powerful way to dramatically increase your profit without incurring the cost of capturing new customers. The cost of being more responsive to an existing customer, making that customer feel welcome and selling that customer more product more often is far less costly than the cost of constantly getting new customers in a haphazard fashion.

Even applying the basic principles shared in this article, you will see a dramatic increase in your profits this coming year. And if you don't have good records, perhaps this is the time to start a system to track all this information. After all, you really don't want to be throwing all that extra money away, do you?


Source: http://ezinearticles.com/?Unraveling-the-Data-Mining-Mystery---The-Key-to-Dramatically-Higher-Profits&id=26665

Popularity of Managed Services

Don't let the downtime be a fact of your business. Your website is your online tool and is directly tied to your business success. Your tight budget limits may not allow you to have your own dedicated IT staff. However, with the help of managed services, you can have your own personal IT staff to control everything proactively without worrying for any overhead expenditure. You will have all your services and applications managed 24x7 from a central console.

Whether it's about patch management, virus updates, data back-ups, server monitoring, networking or reporting, you can handle all using breakthrough technology. Managed Services take away the headaches of failures by moving away from a break.

There is no dearth of highly experienced web hosting companies providing all managed services at the most competitive prices suiting to your business and budget. The best example is NaviSite Inc., where you can get your entire web hosting requirements (managed services, hosting solutions, server monitoring) catered in the best possible way. Moreover, they have got the highly qualified as well as the certified technicians to handle all the technical bottlenecks hampering the productivity of your business.

Managed services have come up as boon for small to medium sized businesses as these services offer a unique business model that aligns IT with the goals and objectives of the organization. Connectivity errors, network problems, server downtime are some of the errors that directly impact the profitability of the managed service providers. All such providers follow a rigorous troubleshooting model to prevent hitches instead of the traditional consulting model where service providers love to extract more compensation in name of more problems.

Also, there are other numerous benefits of managed services. Since everything is managed remotely, this means lesser onsite visits and more of the utilization of your workforce and earning potential. With the help of managed services, you can address multiple issues for different clients while engaged in concurrent remote sessions. So, all the benefits lead to no more haggling over invoices with clients.

Why are you lacking behind? Give your business the power of managed services today and experience a complete new world of freedom from website downtime and technical defaults.

Source: http://ezinearticles.com/?Popularity-of-Managed-Services&id=1790304

Data Recovery: Beginners Tips

Right now you probably in a lot of mental pain, and all you're concerned about is recovering your data as quickly as possible - so we'll refrain from comments on the wisdom of regular back ups. The time for preventative measures has gone - the issue at hand is data recovery.

First - a simple tip could save you a lot of money. Take out your rolodex and get hold of your tech-savvy friends. If you're in luck, they'll offer to help, and if you're really lucky, they might even have some disk recovery software.

If you're out of luck, then get out your wallet or purse out now... because this is going to cost you. Also, be prepared for a lot of time being wasted - data recovery can take a long time.

The first thing to establish is what exactly is wrong with your hard disk:

    Either your computer won't boot up, or
    Your computer boots up OK but you can't see one of your other drives.

Let's see if we can eliminate the worst scenario. Listen closely to your hard drive - is it making any sort of weird noise, such as scratching, scraping, ticking etc?

If so, then your drive is physically damaged and the only hope that you have is to take it to a data recovery service where experts might be able to get your data off for you. These services are expensive and time consuming - so you need to make a judgement call as to the value of data on the disk:

    If it's only your saved game data or downloaded music files you would like back, you're probably better off kicking yourself for not backing up, and accepting the data loss.
    If, on the other hand, it's a book or other type of information product that you've been working on for years, then send it to a data recovery service for an evaluation and quote - it usually costs nothing.


If your hard disk sounds OK, then you stand a decent chance of recovering data yourself.

First you'll need to download some software to help you out.

Unfortunately, the better software utilities are not free, but the good news is that many allow you to try them out to see they can access the data. There are some freeware versions available but generally speaking these are not easy to use - no user interface / little documentation, or they are not very effective.

There's a list of recommended software on our site - http://www.recoverdatafiles.com - compare the different options then download a few of the trial versions.

Your next steps will be based on how your hard drive/s were setup:

    If you only have a single hard drive that has not been partitioned or split into different "logical" drives, you'll probably need to attach the hard drive to another computer that has enough space to store all your data. This can be quite technical so if you don't have the skills please get a computer savvy friend to help out. Another option is to purchase an external USB hard drive case. You can then simply slot the hard drive into the case and plug it into another PC using a USB port.
    If you have a multiple drive setup and your computer boots up fine, then it will merely be a case of getting the downloaded software to read the files and then copy them to another drive - provided you have a drive with enough space on it. If not, you'll need to attach the hard drive to another machine with enough spare capacity.
    The scenario where you have a multiple drive setup, where the problem drive is the one that contains your operating system files is more tricky. Look for a data recovery software package that has a boot disk option available. What this means is that when you start your computer with the boot disk in it, it will automatically run the data recovery program without trying to start windows. You should be able to see your files and then copy them across to another drive.

Hopefully these tips will enable you to get all your important files back.

Once you've had some time to recover, please take a look at the various articles on our website - our goal is to make it one of the best resources on data recovery.


Source: http://ezinearticles.com/?Data-Recovery:-Beginners-Tips&id=59035

Data Mining Social Networks, Smart Phone Data, and Other Data Base, Yet Maintaining Privacy

Is it possible to data mine social networks in such a way to does not hurt the privacy of the individual user, and if so, can we justify doing such? It wasn't too long ago the CEO of Google stated that it was important that they were able to keep data of Google searches so they can find disease, flu, and food born medical clusters. By using this data and studying the regions in the searches to help fight against outbreaks of diseases, or food borne illnesses in the distribution system. This is one good reason to store the data, and collect it for research, as long as it is anonomized, then theoretically no one is hurt.

Unfortunately, this also scares the users, because they know if the searches are indeed stored, this data can be used against them in the future, for instance, higher insurance rates, bombardment of advertising, or get them put onto some sort of future government "thought police" watch-list. Especially considering all the political correctness, and new ways of defining hate speech, bullying, and what is, what isn't, and what might be a domestically home-grown terrorist. The future concept of the thought police is very scary to most folks.

Usually if you want to collect data from a user, you have to give them something back in return, and therefore they are willing to sign away certain privacy rights on that data in trade for the use of such services; such as on their cell phone, perhaps a free iPhone app or a virtual product in an online social network.

Artificially Intelligent Search Features

It is no surprised that AI search features are getting smarter, even able to anticipate your next search question, or what you are really trying to ask, even second guessing your question for instance. Now then, let's discuss this for a moment. Many folks very much enjoy the features of Amazon.com search features, which use artificial intelligence to recommend potential other books, which they might be interested in. And therefore the user probably does not mind giving away information about itself, for this upgraded service or ability, nor would the person mind having cookies put onto their Web browser.

Nevertheless, these types of systems are always exploited for other purposes. For instance consider the Federal Trade Commission's do not call list, and consider how many corporations, political party organizations, and all of their affiliates and partners were able to bypass these rules due to the fact that the consumer or customer had bought something from them in the last six months. This is not what consumers or customers had in mind when they decided they wanted to have this "do not call list" and the resultant and response from the market place, well, it proves we cannot trust the telecommunication companies, their lobbyists, or the insiders within their group (many of which over the years have indeed been somehow connected to the intelligence agencies - AT&T - NSA Echelon for example.)

Now then, this article is in no way to be considered a conspiracy theory, it is just a known fact, yes national security does need access to such information, and often it might be relevant, catching bad guys, terrorists, spies, etc. The NSA is to protect the American People. However, when it comes to the telecommunication companies, their job is to protect shareholder's equity, maximize quarterly profits, expand their business models, and create new profit centers in their corporations.

Thus, such user data will be and has been exploited for future profits against the wishes of the consumer, without the consumer benefiting from free services for lower prices in any way. If there is an explained reason, trade-off, and a monetary consideration, the consumer might feel obliged to have additional calls bothering them while they are at home, additional advertising, and tracking of their preferences for ease of use and suggestions. What types of suggestions?

Well, there is a Starbucks two-blocks from here, turn right, then turn left and it is 200 yards, with parking available; "Sale on Frappachinos for gold-card holders today!" In this case the telecommunication company tracks your location, knows your preferences, and collects a small fee from Starbucks, and you get a free-phone, and 20% off your monthly 4G wireless fee. Is that something a consumer might want; when asked 75% of consumers or smart phone users say; yes. See that point?

In the future smart phones may have data transferred between them, rather than going through a given or closest cell tower. In other words, packets of information may go from your cell phone, to the next nearest cell phone, to another near cell phone, to the person which is intended to receive it. And the data passing through each mobile device, will not be able to read any of the information which was it is not assigned to receive as it wasn't sent to it. By using such a scheme telecommunication companies can expand their services without building more new cell towers, and therefore they can lower the price.

However, it also means that when you lay your cell phone on the table, and it is turned on it would be constantly passing data through it, data which is not yours, and you are not getting paid for that, even though you had to purchase the smart phone. But if the phone was given to you, with a large battery, so it wouldn't go dead during all those transmissions, you probably wouldn't care, as long as your data packets of information were indeed safe and no one else could read them.

This technology exists now, and is being discussed, and consider if you will that the whole strategy of networking smart cell phones or personal tech devices together is nothing new. For instance, the same strategies have been designed for satellites, and to use an analogy, this scheme is very similar to the strategies FedEx uses when it sends packages to the next nearest FedEx office if that is their destination, without sending all of the packages all the way across the country to the central Memphis sort, and then all the way back again. They are saving time, fuel, space, and energy, and if cell phones did this it would save the telecommunication companies mega bucks in the savings of building new cell towers.

As long as you got a free cell phone, which many of us do, unless we have the mega top of the line edition, and if they gave you a long-lasting free battery it is win-win for the user. You probably wouldn't care, and the telecommunication companies could most likely lower the cost of services, and not need to upgrade their system, because they can carry a lot more data, without hundreds of billions of dollars in future investments.

Also a net centric system like this is safer to disruption in the event of an emergency, when emergency communications systems take precedence, putting every cell phone user as secondary traffic at the cell towers, which means their calls may not even get through.

Next, the last thing the telecommunication company would want to do is to data mine that data, or those packets of information from people like a soccer mom calling her son waiting at the bus stop at school. And anyone with a cell phone certainly wouldn't want their packets of information being stolen from them and rerouted because someone near them hacked into the system and had a cell phone that was displaying all of their information.

You can see the problems with all this, but you can also see the incredible economies of scale by making each and every cell phone a transmitter and receiver, which it already is in principle anyway, at least now for all data you send and receive. In the new system, if all the data which is closest by is able to transfer through it, and send that data on its way. The receiving cell phone would wait for all the packets of data were in, and then display the information.

You can see why such a system also might cause people to have a problem with it because of what they call net neutrality. If someone was downloading a movie onto their iPad using a 3G or 4G wireless network, it could tie up all the cell phones nearby that were moving the data through them. In this case, it might upset consumers, but if that traffic could be somewhat delayed by priority based on an AI algorithm decision matrix, something simple, then such a tactic for packet distribution plan might allow for this to occur without disruption from the actual cell tower, meaning everyone would be better off. Therefore we all get information flow faster, more dispersed, and therefore safer from intruders. Please consider all this.


Source: http://ezinearticles.com/?Data-Mining-Social-Networks,-Smart-Phone-Data,-and-Other-Data-Base,-Yet-Maintaining-Privacy&id=4867112

Usefulness of Web Scraping Services

For any business or organization, surveys and market research play important roles in the strategic decision-making process. Data extraction and web scraping techniques are important tools that find relevant data and information for your personal or business use. Many companies employ people to copy-paste data manually from the web pages. This process is very reliable but very costly as it results to time wastage and effort. This is so because the data collected is less compared to the resources spent and time taken to gather such data.

Nowadays, various data mining companies have developed effective web scraping techniques that can crawl over thousands of websites and their pages to harvest particular information. The information extracted is then stored into a CSV file, database, XML file, or any other source with the required format. After the data has been collected and stored, data mining process can be used to extract the hidden patterns and trends contained in the data. By understanding the correlations and patterns in the data; policies can be formulated and thereby aiding the decision-making process. The information can also be stored for future reference.

The following are some of the common examples of data extraction process:

• Scrap through a government portal in order to extract the names of the citizens who are reliable for a given survey.
• Scraping competitor websites for feature data and product pricing
• Using web scraping to download videos and images for stock photography site or for website design

Automated Data Collection
It is important to note that web scraping process allows a company to monitor the website data changes over a given time frame. It also collects the data on a routine basis regularly. Automated data collection techniques are quite important as they help companies to discover customer trends and market trends. By determining market trends, it is possible to understand the customer behavior and predict the likelihood of how the data will change.

The following are some of the examples of the automated data collection:

• Monitoring price information for the particular stocks on hourly basis
• Collecting mortgage rates from the various financial institutions on the daily basis
• Checking on weather reports on regular basis as required

By using web scraping services it is possible to extract any data that is related to your business. The data can then be downloaded into a spreadsheet or a database for it to be analyzed and compared. Storing the data in a database or in a required format makes it easier for interpretation and understanding of the correlations and for identification of the hidden patterns.

Through web scraping it is possible to get quicker and accurate results and thus saving many resources in terms of money and time. With data extraction services, it is possible to fetch information about pricing, mailing, database, profile data, and competitors data on a consistent basis. With the emergence of professional data mining companies outsourcing your services will greatly reduce your costs and at the same time you are assured of high quality services.


Source: http://ezinearticles.com/?Usefulness-of-Web-Scraping-Services&id=7181014

Data Mining Explained

Overview
Data mining is the crucial process of extracting implicit and possibly useful information from data. It uses analytical and visualization techniques to explore and present information in a format which is easily understandable by humans.

Data mining is widely used in a variety of profiling practices, such as fraud detection, marketing research, surveys and scientific discovery.

In this article I will briefly explain some of the fundamentals and its applications in the real world.

Herein I will not discuss related processes of any sorts, including Data Extraction and Data Structuring.

The Effort
Data Mining has found its application in various fields such as financial institutions, health-care & bio-informatics, business intelligence, social networks data research and many more.

Businesses use it to understand consumer behavior, analyze buying patterns of clients and expand its marketing efforts. Banks and financial institutions use it to detect credit card frauds by recognizing the patterns involved in fake transactions.

The Knack
There is definitely a knack to Data Mining, as there is with any other field of web research activities. That is why it is referred as a craft rather than a science. A craft is the skilled practicing of an occupation.

One point I would like to make here is that data mining solutions offers an analytical perspective into the performance of a company depending on the historical data but one need to consider unknown external events and deceitful activities. On the flip side it is more critical especially for Regulatory bodies to forecast such activities in advance and take necessary measures to prevent such events in future.

In Closing
There are many important niches of Web Data Research that this article has not covered. But I hope that this article will provide you a stage to drill down further into this subject, if you want to do so!

Should you have any queries, please feel free to mail me. I would be pleased to answer each of your queries in detail.


Source: http://ezinearticles.com/?Data-Mining-Explained&id=4341782

Importance of Data Mining Services in Business

Data mining is used in re-establishment of hidden information of the data of the algorithms. It helps to extract the useful information starting from the data, which can be useful to make practical interpretations for the decision making.
It can be technically defined as automated extraction of hidden information of great databases for the predictive analysis. In other words, it is the retrieval of useful information from large masses of data, which is also presented in an analyzed form for specific decision-making. Although data mining is a relatively new term, the technology is not. It is thus also known as Knowledge discovery in databases since it grip searching for implied information in large databases.
It is primarily used today by companies with a strong customer focus - retail, financial, communication and marketing organizations. It is having lot of importance because of its huge applicability. It is being used increasingly in business applications for understanding and then predicting valuable data, like consumer buying actions and buying tendency, profiles of customers, industry analysis, etc. It is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, e-commerce, customer relationship management and financial services.

However, the use of some advanced technologies makes it a decision making tool as well. It is used in market research, industry research and for competitor analysis. It has applications in major industries like direct marketing, e-commerce, customer relationship management, scientific tests, genetics, financial services and utilities.

Data mining consists of major elements:

    Extract and load operation data onto the data store system.
    Store and manage the data in a multidimensional database system.
    Provide data access to business analysts and information technology professionals.
    Analyze the data by application software.
    Present the data in a useful format, such as a graph or table.

The use of data mining in business makes the data more related in application. There are several kinds of data mining: text mining, web mining, relational databases, graphic data mining, audio mining and video mining, which are all used in business intelligence applications. Data mining software is used to analyze consumer data and trends in banking as well as many other industries.


Source: http://ezinearticles.com/?Importance-of-Data-Mining-Services-in-Business&id=2601221

Web Scraping for Businesses

Are you looking to capture data from a website or blog? How about track the number of products on an ecommerce website? For many reasons, web scraping may be a tool that you need to analyze the viability of a business. Web scraping is a valuable way to gain insight into the workings of a company. This is insight that may not be obtainable in other ways.

Using computer software, it is possible to extract data using a web scraper. Companies that provide web scraping are often referred to as data mining companies. These companies sell data to firms who analyze other companies, ensuring that these firms will have the best competitive position.

Using web harvesting technologies is often a sensitive topic. While it does not violate any laws, the webmasters of the target website often do not appreciate having their data captured. It is best to keep web scraping tasks confidential. For the protection of the client and to avoid issues, all web extraction techniques should be discussed internally.

The data that is extracted from a website is usually of significant value. The data, as well, must be safeguarded to protect against abuse. When handled appropriately, web scraping is an ethical way to obtain data for business decisions. In some scenarios, it may be abused, but this is not an overall accurate reflection of the industry. A responsible and ethical company should take care not to disrupt any of the normal functions of the target website.

In addition, as data mining continues to grow, processing larger data sets is more critical. When hiring a web scraping company, it is important to evaluate how large of a data set this company can handle. Naturally, the larger the data set, the more valuable the information. The cost of obtaining the data will vary based on the number of requests that need to be issued, and the CPU and RAM resources, as well as storage space, that are needed to process the data.



Source: http://www.governyourschool.co.uk/web-scraping-for-businesses/

Web Data Extraction Services

Web Data Extraction from Dynamic Pages includes some of the services that may be acquired through outsourcing. It is possible to siphon information from proven websites through the use of Data Scrapping software. The information is applicable in many areas in business. It is possible to get such solutions as data collection, screen scrapping, email extractor and Web Data Mining services among others from companies providing websites such as Scrappingexpert.com.

Data mining is common as far as outsourcing business is concerned. Many companies are outsource data mining services and companies dealing with these services can earn a lot of money, especially in the growing business regarding outsourcing and general internet business. With web data extraction, you will pull data in a structured organized format. The source of the information will even be from an unstructured or semi-structured source.

In addition, it is possible to pull data which has originally been presented in a variety of formats including PDF, HTML, and test among others. The web data extraction service therefore, provides a diversity regarding the source of information. Large scale organizations have used data extraction services where they get large amounts of data on a daily basis. It is possible for you to get high accuracy of information in an efficient manner and it is also affordable.

Web data extraction services are important when it comes to collection of data and web-based information on the internet. Data collection services are very important as far as consumer research is concerned. Research is turning out to be a very vital thing among companies today. There is need for companies to adopt various strategies that will lead to fast means of data extraction, efficient extraction of data, as well as use of organized formats and flexibility.

In addition, people will prefer software that provides flexibility as far as application is concerned. In addition, there is software that can be customized according to the needs of customers, and these will play an important role in fulfilling diverse customer needs. Companies selling the particular software therefore, need to provide such features that provide excellent customer experience.

It is possible for companies to extract emails and other communications from certain sources as far as they are valid email messages. This will be done without incurring any duplicates. You will extract emails and messages from a variety of formats for the web pages, including HTML files, text files and other formats. It is possible to carry these services in a fast reliable and in an optimal output and hence, the software providing such capability is in high demand. It can help businesses and companies quickly search contacts for the people to be sent email messages.

It is also possible to use software to sort large amount of data and extract information, in an activity termed as data mining. This way, the company will realize reduced costs and saving of time and increasing return on investment. In this practice, the company will carry out Meta data extraction, scanning data, and others as well.



Source: http://ezinearticles.com/?Web-Data-Extraction-Services&id=4733722

Web Data Extraction Services and Data Collection Form Website Pages

For any business market research and surveys plays crucial role in strategic decision making. Web scrapping and data extraction techniques help you find relevant information and data for your business or personal use. Most of the time professionals manually copy-paste data from web pages or download a whole website resulting in waste of time and efforts.

Instead, consider using web scraping techniques that crawls through thousands of website pages to extract specific information and simultaneously save this information into a database, CSV file, XML file or any other custom format for future reference.

Examples of web data extraction process include:
• Spider a government portal, extracting names of citizens for a survey
• Crawl competitor websites for product pricing and feature data
• Use web scraping to download images from a stock photography site for website design

Automated Data Collection
Web scraping also allows you to monitor website data changes over stipulated period and collect these data on a scheduled basis automatically. Automated data collection helps you discover market trends, determine user behavior and predict how data will change in near future.

Examples of automated data collection include:
• Monitor price information for select stocks on hourly basis
• Collect mortgage rates from various financial firms on daily basis
• Check whether reports on constant basis as and when required

Using web data extraction services you can mine any data related to your business objective, download them into a spreadsheet so that they can be analyzed and compared with ease.

In this way you get accurate and quicker results saving hundreds of man-hours and money!

With web data extraction services you can easily fetch product pricing information, sales leads, mailing database, competitors data, profile data and many more on a consistent basis.

Should you have any queries regarding Web Data extraction services, please feel free to contact us. We would strive to answer each of your queries in detail. Email us at info@outsourcingwebresearch.com


Source: http://ezinearticles.com/?Web-Data-Extraction-Services-and-Data-Collection-Form-Website-Pages&id=4860417

What's Your Excuse For Not Using Data Mining?

In an earlier article I briefly described how data mining and RFM analysis can help marketers be more efficient (read... increased marketing ROI!). These marketing analytics tools can significantly help with all direct marketing efforts (multichannel campaign management efforts using direct mail, email and call center) and some interactive marketing efforts as well. So, why aren't all companies using it today? Well, typically it comes down to a lack of data and/or statistical expertise. Even if you don't have data mining expertise, YOU can benefit from data mining by using a consultant. With that in mind, let's tackle the first problem -- collecting and developing the data that is useful for data mining.

The most important data to collect for data mining include:

oTransaction data - For every sale, you at least need to know the product and the amount and date of the purchase.

oPast campaign response data - For every campaign you've run, you need to identify who responded and who didn't. You may need to use direct and indirect response attribution.

oGeo-demographic data - This is optional, but you may want to append your customer file/database with consumer overlay data from companies like Acxiom.

oLifestyle data - This is also an optional append of indicators of socio-economic lifestyle that are developed by companies like Claritas. All of the above data may or may not exist in the same data source. Some companies have a single holistic view of the customer in a database and some don't. If you don't, you'll have to make sure all data sources that contain customer data have the same customer ID/key. That way, all of the needed data can be brought together for data mining.

How much data do you need for data mining? You'll hear many different answers, but I like to have at least 15,000 customer records to have confidence in my results.

Once you have the data, you need to massage it to get it ready to be "baked" by your data mining application. Some data mining applications will automatically do this for you. It's like a bread machine where you put in all the ingredients -- they automatically get mixed, the bread rises, bakes, and is ready for consumption! Some notable companies that do this include KXEN, SAS, and SPSS. Even if you take the automated approach, it's helpful to understand what kinds of things are done to the data prior to model building.

Preparation includes:

oMissing data analysis. What fields have missing values? Should you fill in the missing values? If so, what values do you use? Should the field be used at all?

oOutlier detection. Is "33 children in a household" extreme? Probably - and consequently this value should be adjusted to perhaps the average or maximum number of children in your customer's households.

oTransformations and standardizations. When various fields have vastly different ranges (e.g., number of children per household and income), it's often helpful to standardize or normalize your data to get better results. It's also useful to transform data to get better predictive relationships. For instance, it's common to transform monetary variables by using their natural logs.

oBinning Data. Binning continuous variables is an approach that can help with noisy data. It is also required by some data mining algorithms.

More to come on data mining for marketers in my next article.


Source: http://ezinearticles.com/?Whats-Your-Excuse-For-Not-Using-Data-Mining?&id=3576029

Data Destruction Service

Data destruction is a term that refers to the removal or eradication of magnetic or optical computer storage media. The method of destruction varies, dependent upon the medium and method used in the process. The aim of data destruction is to physically destroy the data so as to remove the possibility of recovery.

Computer storage media requires some form of sanitization at the end of it's working life, particularly when it holds sensitive information that could inadvertently be read by third parties. This is extremely relevant to businesses and corporations, where data may contain information pertaining to the general public or third parties, such as clients. Similarly, confidential corporate information, including patent designs, business strategies and other sensitive data could easily be accessed by third parties if the data is not removed.

As I said at the outset, methods of destruction vary, depending upon storage medium. For each storage medium, a variety of destruction techniques also exist.

Optical media, such as cd roms, DVDs can be destroyed by granulating the plastics into 5mm chips. This method does not remove the data, but makes recovery near impossible. However, removal of the thin film that coats the top side of the disk, by scraping, scouring or sanding will physically destroy the data. By contrast, the use of microwave ovens, a less conventional technique, is highly effective due to the static charge and consequent arcing across the thin film storage layer of the disk.

Typical modern magnetic media constitutes tape backup units and Hard Disk drives. Unfortunately, tape backup units are very hard to destroy, due to the length of the tape, upon which a film of iron oxide layer retains the magnetic media. Shredding of such media is possible, but requires significant financial investment in plant capable of handling such devices. Acids, in particular, Nitric acid, at 50% concentration, will react violently with the iron oxide layer, destroying it completely within minutes. However, this process requires the removal of the outer plastic case to adequately expose the internal media storage tape. In some circumstances, incineration of the storage media may be an option. However, this may inadvertently expose the operator to carenogens and may be prohibited in certain countries.

The variety of Hard Disk drives available, method of connectivity (SATA, IDA, ATA, SCA, SCSI) means that data destruction software has had to be intelligent enough to differentiate between these different interfaces. Software driven destruction of hard drives is a highly efficient eradication technique that has been shrouded in urban myths, masking the true ease with which data can be permanently removed. In many instances, a single pass binary wipe (writing random zeros and ones to the drive) will permanently remove all data from the storage device. However, international standards exist, which all require more significant wiping processes, most of which will inadvertently result in complete failure of the hard drive due to the high temperatures generated.

Hard drive destruction may also be undertaken via other means, including the granulating of the drive to 5mm particulate level, use of a furnace to destroy and ultimately recover the Aluminium and use of corrosive materials such as Acids to remove the recording surfaces from the disk.

All the above methods are quantifiable, in that the destruction of the data can be confirmed, etheri via visual inspection of the drive storage device or by a software interface. However, the final data destruction technique, that known as degaussing, whereby a strong electromagnet is used to remove the magnetically stored data has no method of validation. It is for this reason that this has technique has been left until last. It is for this reason that the US government and military require the use of a deguasser that has been approved by the NSA.


Source: http://ezinearticles.com/?Data-Destruction-Service&id=6686357