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Four Reasons to Choose Web Data Extraction
Author: William He

Web data extraction software tools are the now the preferred choice for many companies whose daily activities involve the collection of web-based information. Although this is a recent development, demand has been quickly growing and most firms now consider it a must to use specialized data collection solutions. Specialists from Ficstar Software point out four main reasons why clients usually contact them.

1.#Efficiency

When using a web data extraction software solutions, businesses usually eliminate all types of delays that usually accompany the manual process of information collection (mainly consisting of tedious copy and paste repetitions). Sick leaves and traffic jams are no longer causes for nervous breakdowns, especially for tasks that are essential to your daily business operation.

2.#Accuracy

To err is human, and mistakes are inevitable even if the web data extraction task is assigned to the most attentive and meticulous of employees. However, there is almost no place for mistakes in software-based web data extraction. Using a specialized solution ensures getting things right from the first time, even for an extremely boring process like this one.

3.#Flexibility

Unlike people, computer programmes can be easily re-programmed when a company’s web data extraction needs change. Ficstar Software offers a wide range of products depending on the type of information that a company needs. And for firms that have unique requirements, there is a special Custom-Designed Web Grabber.

4.#Affordability

On top of all, the use of software for web data extraction is much cheaper than doing it manually. Just think of the many hours of labour that you will save, and you will see how quickly the investment can be repaid. So why nit join the great number of firms who already enjoy the benefits of specialized web data extraction software?

Ficstar Software, Inc. is a Toronto-based provider of powerful web data extraction and data mining solutions. Its cutting-edge products and services are utilized by leading organizations to improve productivity and minimize costs. It was founded in 2003, with the mission of leveraging the latest in Internet technologies to automate and enhance the retrieval, collection, and storage of web-based content. Ficstar designs and develops a broad portfolio of powerful, yet affordable offerings – including business intelligence, web data extraction, and data management – that enable customers to increase efficiency and productivity, while reducing expenses.

Today, leading organizations such as NASA, USGS, PalmOne, and others rely on Ficstar solutions to quickly, accurately, and cost-effectively gather and save data from nearly anywhere on the web.

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Web data extraction

Article Source: ArticlesBase.com – Four Reasons to Choose Web Data Extraction

Data mining is the process of using certain algorithms, software and tools to retrieve, collect, analyze and report information (known as predictive analysis) from a huge pool of data. Data mining is extremely useful these days where information is abundantly available. The information obtained by data mining is used for several applications for decision-making relating to direct marketing, e-commerce, customer relationship management, healthcare, oil and gas industry, scientific tests, genetics, telecommunications, financial services and utilities.

Web data mining is the process of automated extraction of data from the World Wide Web. The internet has extensive data about everything that can be used effectively for making intelligent decisions. However, retrieving as well as sifting through such huge databases is an arduous task. Hence, there are certain data mining tools that help to make this easier. The tools can pick out relevant data and interpret it as per requirements.

There are many kinds of Web data mining: standard mining, data verification and custom mining. Web data mining products can perform a very wide range of functions, including: search engine optimization and website promotion, multiple transformations and modular marketing indicators for CRM, web log reporting, tracking visitor patterns of websites, calculating visitor conversion ratios, reporting online customer behavior, analyzing click-throughs, providing real time log analysis of campaign tracking, click paths, geographic pinpointing, keywords by search engine, web visitor analysis reports, content analysis, extract web events like campaign results, web traffic, etc.

There are several commercially available Web data mining and web usage mining software applications available. Some of them are: AlterWind Log Analyzer Professional, Amadea Web Mining, ANGOSS KnowledgeWebMiner, Azure Web Log analyzer, Blue Martini Customer Interaction System’s Micro Marketing module, ClickTracks, ConversionTrack from Antssoft, Datanautics, (formerly Accrue), eNuggets, (real-time middleware), LiveStats from DeepMetrix, Megaputer WebAnalyst, MicroStrategy Web Traffic Analysis Module, NetGenesis Web Analytics, NetTracker family, Nihuo Web Log Analyzer, prudsys ECOMMINER, SAS Webhound, SPSS Web Mining for Clementine, WebLog Expert 2.0 for Windows, WebTrends, a suite for Data Mining of web traffic information, XAffinity(TM), XML Miner, 123LogAnalyzer. There are also free versions of web Data Mining software such as: AlterWind Log Analyzer Lite, Analog (from Dr. Stephen Turner), Visitator and WUM (Web Utilization Miner).

Data Mining provides detailed information on Data Mining, Data Mining Tutorials, Business Intelligence Data Mining, Web Data Mining and more. Data Mining is affiliated with Offshore Data Entry.
Article Source: http://EzineArticles.com/

There appears to be a revival of interest in Business Intelligence (BI) among IT vendors at the moment. Some pretty big guns, the likes of Oracle, IBM, SAP and Microsoft, are trying to position themselves more aggressively in this space following the spate of acquisitions.

So is this renewed vigour justified?

Well from a customer perspective it undoubtedly is. It is pretty clear when you research BI that the gap between business need and IT capability is as great as ever. When we interviewed a bunch of senior business managers from City of London financial institutions last year, for example, they were very clear about this gap:

And if you look at this chart closely, you will notice something quite interesting. While business information availability isn’t that bad at an overall financial and arguably operational performance level, it is not very good when you look at more detailed measures and indicators.

Why is this interesting?

Well because it tells us that by the time those managing the business find out about something important, it is often too late to do anything about it. Stories of product, client or partner related issues only coming to light when someone starts investigating why a higher level number has been missed are quite common.

To put it another way, business managers usually have what they need to monitor the ‘effects’ of doing business, but are typically underserved when it comes to the information required to manage the underlying ‘causes’ of those effects. We discuss this more in the research report from the study if you are interested, but it does bring home the importance of incorporating continuous analytics capability into the business process itself, as well as having traditional retrospective BI operating off to one side.

The aforementioned vendors are therefore spot-on when it comes to making a big noise about the principle of integrating BI capability into applications in a more embedded fashion. Now, whether they have done a good of integrating their recent acquisitions into their broader solution set in practice is another question, but it is at least worth hearing them out.