Business Intelligence Data Mining

Data mining can be technically defined as the automated extraction of hidden information from large databases for 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.

Data mining requires the use of mathematical algorithms and statistical techniques integrated with software tools. The final product is an easy-to-use software package that can be used even by non-mathematicians to effectively analyze the data they have. Data Mining is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, fraud detection, web site personalization, e-commerce, healthcare, customer relationship management, financial services and telecommunications.

Business intelligence data mining 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, healthcare, the oil and gas industry, scientific tests, genetics, telecommunications, financial services and utilities. BI uses various technologies like data mining, scorecarding, data warehouses, text mining, decision support systems, executive information systems, management information systems and geographic information systems for analyzing useful information for business decision making.

Business intelligence is a broader arena of decision-making that uses data mining as one of the tools. In fact, the use of data mining in BI makes the data more relevant in application. There are several kinds of data mining: text mining, web mining, social networks data mining, relational databases, pictorial data mining, audio data mining and video data mining, that are all used in business intelligence applications.

Some data mining tools used in BI are: decision trees, information gain, probability, probability density functions, Gaussians, maximum likelihood estimation, Gaussian Baves classification, cross-validation, neural networks, instance-based learning /case-based/ memory-based/non-parametric, regression algorithms, Bayesian networks, Gaussian mixture models, K-means and hierarchical clustering, Markov models and so on.


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Strengthen Your Website Content With Online Database Access

Website content, as articles, has taken center stage as web publishers scramble to differentiate their online offers. As both the quantity and quality of articles have accelerated, so too have online directories. These directories often resemble mere lists, but they can be powerful content additions that serve to deepen the value of the overall selling proposition by helping users in locating critical, related resources that for the visitor is otherwise much too time consuming.

On today's websites, it is not uncommon to find online databases designed to provide the data-hungry website visitor with more comprehensive database management functions which are far superior to list-style directories. At a minimum, we find web-driven data pages that include search and display functions which facilitate quick and easy manipulation of back-end SQL databases. Many sites also include options to add, edit, delete, print, and even download data directly from the database to the desktop, all enabled with multiple levels of login/password security. While this is not revolutionary, the technical expertise required to build database-driven web pages has been the domain of more sophisticated online publishers who not only owned the back end database outright, but possessed the required expertise to build and maintain such access for their loyal constituents.

But that has all changed. A flurry of new, low-cost desktop tools have entered the scene, leveling the playing field for the budget-strapped internet marketer who, until recently, was limited to throwing in a basic "telephone book" style directory in an attempt to bolster his value proposition.

Three such tool categories warrant a closer look:

Web data extraction tools costing less than $400 enable web content, as "repeating data", to be easily extracted to MS Excel, MS Access, or virtually any SQL database in high volume. This data serves to build, or at least augment the publisher's's new online database. (Ideally, one should first obtain permission from the website owner before scraping large volumes of data).

The next challenge is to manipulate the collected data now resident in multiple files, and often in disparate data formats. Though list processing applications have long been available, lower cost tools now offer powerful merge/purge capabilities without the need to import and export files in the process. Some simple routines and the data is ready to upload to the database on the host web server.

Finally, the publisher builds the web pages which access the database. Perhaps most exciting is the arrival of a wide variety of desktop code generators, many which are open source, that allow a non-programmer to build customized web pages that rival the database search, display, add, edit,delete and download capabilities previously reserved for the more technical publisher. No longer is the web publisher required to know a single SQL command to accomplish this feat. Amazingly, most of these tools generate pure PHP or PERL code. All that remains is to upload the generated code to the host database and the project is complete. The website now houses a "living, breathing" database, to the extent that the publisher desires to maintain fresh data.

One of the more common, and simple applications of database-driven web pages is to build versatile Frequently Asked Questions (FAQ) pages. Questions and answers can be queried by category (e.g. pricing, product) or keyword (e.g. sporting goods), while enriching the users support experience.

How can such newfound capabilities be monetized? The possibilities are plenty. Limited datasets can be made freely searchable and viewable for casual visitors, though it's usually wise to request that the user register even if membership is free. The idea is to prime the pump, getting casual users to thirst for more comprehensive database access. Extended and full database access can be reserved only for paid members.

Never has a publisher had such power to build data-rich content that can serve to immediately strengthen his unique selling sales proposition. In the old paradigm, he who owned the data held all the power. Today, data is everywhere for the internet entrepreneur. By applying the latest database tools, any website publisher can now cement the most loyal of customer relationships by ensuring that his customer has a reason to keep coming back.

Web visitors have a difficult enough time sorting out the perceived sameness of online offerings. For the content builder, there are few better methods to establish and lock in immediate credibility with customers than to implement an easily accessible database that underscores the site's overall content theme.


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Data Processing Services - Different Types of Data Processing

Data processing services- To get proper information in specific and require data format and process your data which can be understand by people.

In the most of BPO (business process outsourcing) companies, converting your data (information) into right data format which is known as data processing services and also a very important part of the BPO company. There are many types of data process are available in the BPO industry such as check processing, insurance claim process, forms process, image process, survey processing and other business process services.

There is some important data processing services which can help to the business described as below:

Check-Processing: In any business, check processing is essential requirements to make easy online transactions. It will increase and make fast your business process.

Insurance-Claim-Processing: Sometime it is very complicated to handle. An insurance claim is an official request submitted to the insurance company demanding payment as per the terms of the policy. The terms of the insurance contract dictate the insurance claim amount.

Form-Processing: In the business, there are some important forms are used to process properly and receive accurate data or information. It is one of very crucial data online processing service.

Image-Processing: In electrical engineering and computer science, capturing and manipulating images to enhance or extract information. Image processing functions include resizing, sharpening, brightness, and contrast.

Survey-Processing: To make quick decision and want to market research, survey form is very much helpful in take proper decision or any important action.

Thus, these all important data process and conversion services can help any business to grow their profit and make business process very easy to access.

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Data Recovery Service For a Speedy Recovery

Mechanical or software failure in the hard drive leads to what is commonly termed a crash. The crash can lead to partial or complete inaccessibility to data. It is relatively simple to identify the reason for the crash.

For those who are not sure of what a hard drive is, it is a magnetic disk with an extended arm, capable of collecting data from any memory unit in the hard drive. Failure of the extended arm, an overheated motor, or the disk not spinning is just a few of the many reasons that can lead to hardware failure. Eventually, data stored in the inaccessible memory units become unavailable to the user.

When you suspect a crash check for the following:

    If the computer does not boot and the flashing light in the computer case is blinking bright, the crash is probably a software failure.
    If the flashing light does not blink, it means the hard drive is not functioning and it is probably a mechanical failure.

Those who dare with their computer skills can get ahead with their own fixing up and experiments trying to get things back to normal. However, it is ideal to save stress by seeking help from the appropriate service provider.

The provider successfully recovers all the important files and folders that probably disappear due to accidental formatting, loss due to partition, virus induced data loss, or due to deletion of files or directories.

If the crash is software related, the retrieval gets simpler with appropriate retrieval tools. Recovery software programs help retrieving data from corrupted partition tables, corrupted FAT and NTFS partitions, inappropriately formatted hard drive, inaccessible or unbootable hard drive, missing files or directories, recovery of deleted files or folders and few more.

Average computer users can try recovery with trial versions rather than investing in expensive recovery programs; however, the best deal is to seek out for the data recovery service.

Getting help from hard drive recovery is best in situations involving mechanical repairs. Technical expertise is indispensably important when dealing with failed motors, extended arm repair, and head crashes.

In cases of mechanical failure, absolute recovery of lost data might not be possible because there will be damage to logical structures of the files. Trying to work on the recovery without sufficient skills can lead to further loss of data leading to extremely poor quantity and quality retrieval.

Magnetometers gather lost memory bits from the magnetic disk. The raw memory bits recovered helps reconstruct the disk image. The logical structure thus achieved, aids in the extraction of data lost due to logical damage induced by mechanical repair.

Well-informed computer users obviously give their share of attempts before seeking help from service providers. In grounds of mechanical failure, those who are not skilled in the area do better to seek the technical expertise and guidance from service providers locally.

Data recovery service offers at par results like the national service providers. The advantage is that local providers are instantly reachable. However, national service providers have their own networks to get the personnel at your doorstep as quickly as local providers do.

Sharmela Mukuntha Krishnan is a professional article writer. Also provides SEO, SMO and SMM consultation. You can reach her at sharmela@yogine.org.

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US-Yellow Pages Publisher Dials Up Tegile

US-Yellow (Global Directories, Inc.) is an independent yellow page publisher with consumers referring to Yellow Pages more than 15 billion times a year, with Yellow Pages a strong revenue producer in addition to the company's online and CD directory products.

US-Yellow is a resource for finding information online, in addition to its print directory and directory on CD.

It operates a database IT infrastructure with multiple large SQL databases as well as Exchange, PostgreSQL, and custom SAP applications. It recently undertook a major IT upgrade, adopting server and desktop virtualization platforms for the first time and making the transition from local server-attached storage to a HA SAN.

Ben Croxton, IT director at US-Yellow, was aware of the storage challenges of a virtualized environment, such as the I/O blender effect of server virtualization and the extreme I/O demands of a VDI deployment. To mitigate the I/O challenges of a virtualized infrastructure, Croxton sought out a flash-assisted storage solution but was frustrated by what he found.

"I was looking for SAN storage that I felt comfortable using both for production servers and VDI at the same time," he said. "But after speaking to several larger vendors I realized they either did not have an applicable solution, or their solution was far beyond my price range."

Croxton narrowed his choice down to commercial SSD-HDD hybrid arrays from Nimble Storage, Inc. and Tegile Systems, Inc. The decision was an easy one, he said: with Tegile offering better hardware, better pricing, more storage capacity (Tegile Zebi arrays boast almost a 4x flash capacity advantage per array compared to Nimble), and an honest, up-front sales process with excellent customer service.

Zebi arrays bring new approach to high-performance network storage with an hybrid design that leverages the performance of SSDs and the low cost-per-terabyte of capacity HDDs. The storage array delivers up to seven times the performance and up to 70% less capacity than legacy arrays. And unlike legacy arrays where any additional storage services require additional license fees, everything needed is built into the Zebi arrays, with a range of storage services, including backup snapshots, remote replication, inline compression and deduplication, application optimized templates for storage provisioning and one-click deployment of VMs and virtual desktops.

For US-Yellow, the virtualization support simplified and accelerated the complex and time-consuming task of provisioning 7 VMware ESXi physical hosts, about 24 servers and 30 virtual desktops. The inline data deduplication functionality that is built into the Zebi array has made an impact in reducing the storage capacity required for the OS volumes.

Along with the Zebi hybrid array, US-Yellow installed a iSCSI SAN at its Jacksonville HQs. The Zebi array with 22TB of raw storage is attached via  four 10GbE connections to redundant network switches which then use multiple GigE connections to seven VMware ESXi hosts. US-Yellow also has VDI users running VMware View 5 - adding further stress to the network storage.

But Croxton said the Zebi hybrid array has handled the server and desktop virtualization load without a hitch.

He also had praise for the unified storage functionality of the array.

After its initial deployment with block storage in the iSCSI SAN, US-Yellow is planning to install additional Zebi arrays to handle the file storage requirements, replacing disk-based NAS arrays it currently uses for backup and DR.


Source: http://www.storagenewsletter.com/news/customer/us-yellow-tegile-systems

How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection

Data scrape is the process of extracting data from web by using software program from proven website only. Extracted data any one can use for any purposes as per the desires in various industries as the web having every important data of the world. We provide best of the web data extracting software. We have the expertise and one of kind knowledge in web data extraction, image scrapping, screen scrapping, email extract services, data mining, web grabbing.

Who can use Data Scraping Services?

Data scraping and extraction services can be used by any organization, company, or any firm who would like to have a data from particular industry, data of targeted customer, particular company, or anything which is available on net like data of email id, website name, search term or anything which is available on web. Most of time a marketing company like to use data scraping and data extraction services to do marketing for a particular product in certain industry and to reach the targeted customer for example if X company like to contact a restaurant of California city, so our software can extract the data of restaurant of California city and a marketing company can use this data to market their restaurant kind of product. MLM and Network marketing company also use data extraction and data scrapping services to to find a new customer by extracting data of certain prospective customer and can contact customer by telephone, sending a postcard, email marketing, and this way they build their huge network and build large group for their own product and company.

We helped many companies to find particular data as per their need for example.

Web Data Extraction

Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool kits that scrape web content were created. A web scraper is an API to extract data from a web site. We help you to create a kind of API which helps you to scrape data as per your need. We provide quality and affordable web Data Extraction application

Data Collection

Normally, data transfer between programs is accomplished using info structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions are not human-readable at all. That's why the key element that distinguishes data scraping from regular parsing is that the output being scraped was intended for display to an end-user.

Email Extractor

A tool which helps you to extract the email ids from any reliable sources automatically that is called a email extractor. It basically services the function of collecting business contacts from various web pages, HTML files, text files or any other format without duplicates email ids.

Screen scrapping

Screen scraping referred to the practice of reading text information from a computer display terminal's screen and collecting visual data from a source, instead of parsing data as in web scraping.

Data Mining Services

Data Mining Services is the process of extracting patterns from information. Datamining is becoming an increasingly important tool to transform the data into information. Any format including MS excels, CSV, HTML and many such formats according to your requirements.

Web spider

A Web spider is a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Many sites, in particular search engines, use spidering as a means of providing up-to-date data.

Web Grabber

Web grabber is just a other name of the data scraping or data extraction.

Web Bot

Web Bot is software program that is claimed to be able to predict future events by tracking keywords entered on the Internet. Web bot software is the best program to pull out articles, blog, relevant website content and many such website related data We have worked with many clients for data extracting, data scrapping and data mining they are really happy with our services we provide very quality services and make your work data work very easy and automatic.



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Data Mining and Financial Data Analysis

Introduction:

Most marketers understand the value of collecting financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer. Data mining - technologies and techniques for recognizing and tracking patterns within data - helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs as well as financial need. In this accessible introduction, we provides a business and technological overview of data mining and outlines how, along with sound business processes and complementary technologies, data mining can reinforce and redefine for financial analysis.

Objective:

1. The main objective of mining techniques is to discuss how customized data mining tools should be developed for financial data analysis.

2. Usage pattern, in terms of the purpose can be categories as per the need for financial analysis.

3. Develop a tool for financial analysis through data mining techniques.

Data mining:

Data mining is the procedure for extracting or mining knowledge for the large quantity of data or we can say data mining is "knowledge mining for data" or also we can say Knowledge Discovery in Database (KDD). Means data mining is : data collection , database creation, data management, data analysis and understanding.

There are some steps in the process of knowledge discovery in database, such as

1. Data cleaning. (To remove nose and inconsistent data)

2. Data integration. (Where multiple data source may be combined.)

3. Data selection. (Where data relevant to the analysis task are retrieved from the database.)

4. Data transformation. (Where data are transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations, for instance)

5. Data mining. (An essential process where intelligent methods are applied in order to extract data patterns.)

6. Pattern evaluation. (To identify the truly interesting patterns representing knowledge based on some interesting measures.)

7. Knowledge presentation.(Where visualization and knowledge representation techniques are used to present the mined knowledge to the user.)

Data Warehouse:

A data warehouse is a repository of information collected from multiple sources, stored under a unified schema and which usually resides at a single site.

Text:

Most of the banks and financial institutions offer a wide verity of banking services such as checking, savings, business and individual customer transactions, credit and investment services like mutual funds etc. Some also offer insurance services and stock investment services.

There are different types of analysis available, but in this case we want to give one analysis known as "Evolution Analysis".

Data evolution analysis is used for the object whose behavior changes over time. Although this may include characterization, discrimination, association, classification, or clustering of time related data, means we can say this evolution analysis is done through the time series data analysis, sequence or periodicity pattern matching and similarity based data analysis.

Data collect from banking and financial sectors are often relatively complete, reliable and high quality, which gives the facility for analysis and data mining. Here we discuss few cases such as,

Eg, 1. Suppose we have stock market data of the last few years available. And we would like to invest in shares of best companies. A data mining study of stock exchange data may identify stock evolution regularities for overall stocks and for the stocks of particular companies. Such regularities may help predict future trends in stock market prices, contributing our decision making regarding stock investments.

Eg, 2. One may like to view the debt and revenue change by month, by region and by other factors along with minimum, maximum, total, average, and other statistical information. Data ware houses, give the facility for comparative analysis and outlier analysis all are play important roles in financial data analysis and mining.

Eg, 3. Loan payment prediction and customer credit analysis are critical to the business of the bank. There are many factors can strongly influence loan payment performance and customer credit rating. Data mining may help identify important factors and eliminate irrelevant one.

Factors related to the risk of loan payments like term of the loan, debt ratio, payment to income ratio, credit history and many more. The banks than decide whose profile shows relatively low risks according to the critical factor analysis.

We can perform the task faster and create a more sophisticated presentation with financial analysis software. These products condense complex data analyses into easy-to-understand graphic presentations. And there's a bonus: Such software can vault our practice to a more advanced business consulting level and help we attract new clients.

To help us find a program that best fits our needs-and our budget-we examined some of the leading packages that represent, by vendors' estimates, more than 90% of the market. Although all the packages are marketed as financial analysis software, they don't all perform every function needed for full-spectrum analyses. It should allow us to provide a unique service to clients.

The Products:

ACCPAC CFO (Comprehensive Financial Optimizer) is designed for small and medium-size enterprises and can help make business-planning decisions by modeling the impact of various options. This is accomplished by demonstrating the what-if outcomes of small changes. A roll forward feature prepares budgets or forecast reports in minutes. The program also generates a financial scorecard of key financial information and indicators.

Customized Financial Analysis by BizBench provides financial benchmarking to determine how a company compares to others in its industry by using the Risk Management Association (RMA) database. It also highlights key ratios that need improvement and year-to-year trend analysis. A unique function, Back Calculation, calculates the profit targets or the appropriate asset base to support existing sales and profitability. Its DuPont Model Analysis demonstrates how each ratio affects return on equity.

Financial Analysis CS reviews and compares a client's financial position with business peers or industry standards. It also can compare multiple locations of a single business to determine which are most profitable. Users who subscribe to the RMA option can integrate with Financial Analysis CS, which then lets them provide aggregated financial indicators of peers or industry standards, showing clients how their businesses compare.

iLumen regularly collects a client's financial information to provide ongoing analysis. It also provides benchmarking information, comparing the client's financial performance with industry peers. The system is Web-based and can monitor a client's performance on a monthly, quarterly and annual basis. The network can upload a trial balance file directly from any accounting software program and provide charts, graphs and ratios that demonstrate a company's performance for the period. Analysis tools are viewed through customized dashboards.

PlanGuru by New Horizon Technologies can generate client-ready integrated balance sheets, income statements and cash-flow statements. The program includes tools for analyzing data, making projections, forecasting and budgeting. It also supports multiple resulting scenarios. The system can calculate up to 21 financial ratios as well as the breakeven point. PlanGuru uses a spreadsheet-style interface and wizards that guide users through data entry. It can import from Excel, QuickBooks, Peachtree and plain text files. It comes in professional and consultant editions. An add-on, called the Business Analyzer, calculates benchmarks.

ProfitCents by Sageworks is Web-based, so it requires no software or updates. It integrates with QuickBooks, CCH, Caseware, Creative Solutions and Best Software applications. It also provides a wide variety of businesses analyses for nonprofits and sole proprietorships. The company offers free consulting, training and customer support. It's also available in Spanish.

ProfitSystem fx Profit Driver by CCH Tax and Accounting provides a wide range of financial diagnostics and analytics. It provides data in spreadsheet form and can calculate benchmarking against industry standards. The program can track up to 40 periods.


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