The New Gold Rush: Exploring the Untapped ‘Data Mining’ Reserves of Top 3 Industries

In a bid to reach new moms bang on time, Target knows when you’ll get pregnant. Microsoft knows Return on Investment (ROI) of each of its employee. Pandora knows what’s your current music mood. Amazing, isn’t it?

Call it the stereotype of mathematician nerds or Holy Grail of predictive analysts of modern day, Data Mining is the new gold rush for many industries.

Today, companies are mining data to predict exact actions of their prospective customers. That means, when a huge chunk of customer data is seen through a series of sophisticated, formatted and collective data mining process, it can help create future-ready content of marketing and buying messages, diminishing scope of errors and maximizing customer loyalty.

 Also a progressive team of coders and statisticians help push the envelope as far as the marketing and business tactics are concerned by collecting data and mining practices that are empowering.

Mentioned below is a detailed low-down of three such industries (real estate, retail and automobile) where LoginWorks Software has employed the most talented predictive analysts and comprehensive behavioral marketing platforms in the industry. Let’s take a look.

Real Estate Industry Looks Past the Spray-And-Pray Marketing Tactic By Mining User Data.

A supremely competitive market that is to an extent unstructured too, the real estate industry needs to reap the advantageous benefits of data mining. And, we at LoginWorks Software understand this extremely well!

Our robust team of knowledge-driven analysts make sure that we predict future trends, process the old data and rank the areas using actionable predictive analytics techniques. By applying a long-term strategy to analyze the trend and to get hold of the influential factors that are invested in buying a property, our data warehouses excels in using classical techniques, such as Neural Network, C&R Tree, linear regression, Multilayer Perception Model and SPSS in order to uncover the hidden knowledge.

By using Big Data as the bedrock of our Predictive Marketing Platform, we help you zero-in on the best possible property available for your interest. Data from more than a dozen of reliable national and international resources to give you the most accurate and up-to-the minute data. Right from extracting a refined database of one’s neighborhood insights to classic knowledge discovery of meaningful l techniques, our statisticians have proven accuracy. We scientifically predict your data by:

•    Understanding powerful insights that lead to property-buying decisions.

•    Studying properties and ranking them city-wise, based on their predictability of getting sold in the future.

•    Measuring trends at micro level by making use of Home Price Index, Market Strength Indicator, Automated Valuation Model and Investment analytics.

Our marketing platform consists of the mentioned below automated features:

 df

Image source: http://www.smartzip.com/corp/wp-content/uploads/2013/07/marketing-automation1.png

Data Mining Techniques for Customer Relationship Management and Customer Retention in Retail Industry

Data mining to a retailer is what mining gold to a goldsmith would be! Priceless, to say the least. To understand the dynamics and suggestive patterns of customer habits, a retailer is always scouting for information to up his sales and generate future leads from existing and prospective consumers. Hence, sourcing your birth date information from your social media profiles to zooming upon your customer’s buying behaviour in different seasons.

For a retailer, data mining helps the customer information to transform a point of sale into a detailed understanding of (1) Customer Identification; (2) Customer Attraction; (3) Customer Retention; and (4) Customer Development. A retailer can score potential benefits by calculating Return on Investment (ROI) of its customers by:

•    Gaining customer loyalty and long-term association

•    Saving up on huge spend on non-targeted advertising and marketing costs

•    Accessing customer information, which leads to directly targeting the profitable customers

•    Extending product life cycle

•    Uncovering predictable buying patterns that leads to a decrease in spoilage, distribution costs and holding costs

Our specialised marketing team targets customers for retention by applying myriad levels of data mining techniques, in both technological and statistical perspective. We primarily make use of ‘basket’ analysis technique that unearths links between two distinct products and ‘visual’ mining techniques that helps in discovering the power of instant visual association and buying.

Role of Data Mining in Retail Sector

Image Source: http://www.coolavenues.com/sites/default/files/Data%20Mining%201.jpg

Image Source: http://www.coolavenues.com/sites/default/files/Data%20Mining%201.jpg

Spinning the Magic Wheel of Data Mining Algorithms in Automobile Industry of Today

Often called as the ‘industries of industries’. the automobile industry of today is robustly engrossed in constructing new plants, and extracting more production levels from existing plants. Like food manufacturing and drug companies, today, automakers are in an urgent need to build sophisticated data extraction processes to keep themselves all equipped for exuberantly expensive and reputation-damaging incidents. If a data analytics by Teradata Corp, a data analytics company, is to be believed then the “auto industry spends $45 billion to $50 billion a year on recalls and warranty claim”. A number potentially damaging for the automobile industry at-large, we reckon!

Hence, it becomes all the more imperative for an automobile company of repute to make use of enhanced methodology of data mining algorithms.

Our analysts would help you to spot insightful patterns, trends, rules, and relationships from scores and scores of information, which is otherwise next to impossible for the human eye to trace or process. Our avant-garde technicians understand that an automative manufacturing industry does not interact on one-to-one basis with the end consumers on a direct basis, hence we step into the picture and use our fully-integrated data mining feature to help you with the:

•    Supply chain procedure (pre-sales and post-sales services, inventory, orders, production plan).

•    Full A-Zee marketing facts and figures(dealers, business centers, social media handling, direct marketing tactics, etc).

•    Manufacturing detailing (car configurations/packages/options codes and description).

•    Customers’ inclination information (websites web-activities).

Impact of Big Data Analytics of Direct Vehicle Pricing

Image Source: http://www.slideshare.net/FrostandSullivan/impact-of-big-data-on-automotive-industry

Image Source: http://www.slideshare.net/FrostandSullivan/impact-of-big-data-on-automotive-industry

Bottom line

To wrap it all up, it is imperative to understand that the customer data is just as crucial for an actionable insights as your regular listings data. Behavioural data and predictive analysis is where the real deal lies, because at the end of the day it is all about targeting the right audience with the right context!

 Move forward in your industry by availing LOGNWORKS SOFTWARES’ comprehensive, integrated, strategic and sophisticated Data Mining Services.

Source: http://www.loginworks.com/blogs/web-scraping-blogs/can-identify-buying-preferences-customers-using-data-mining-techniques/

An Easy Way For Data Extraction

There are so many data scraping tools are available in internet. With these tools you can you download large amount of data without any stress. From the past decade, the internet revolution has made the entire world as an information center. You can obtain any type of information from the internet. However, if you want any particular information on one task, you need search more websites. If you are interested in download all the information from the websites, you need to copy the information and pate in your documents. It seems a little bit hectic work for everyone. With these scraping tools, you can save your time, money and it reduces manual work.

The Web data extraction tool will extract the data from the HTML pages of the different websites and compares the data. Every day, there are so many websites are hosting in internet. It is not possible to see all the websites in a single day. With these data mining tool, you are able to view all the web pages in internet. If you are using a wide range of applications, these scraping tools are very much useful to you.

The data extraction software tool is used to compare the structured data in internet. There are so many search engines in internet will help you to find a website on a particular issue. The data in different sites is appears in different styles. This scraping expert will help you to compare the date in different site and structures the data for records.

And the web crawler software tool is used to index the web pages in the internet; it will move the data from internet to your hard disk. With this work, you can browse the internet much faster when connected. And the important use of this tool is if you are trying to download the data from internet in off peak hours. It will take a lot of time to download. However, with this tool you can download any data from internet at fast rate.There is another tool for business person is called email extractor. With this toll, you can easily target the customers email addresses. You can send advertisement for your product to the targeted customers at any time. This the best tool to find the database of the customers.

However, there are some more scraping tolls are available in internet. And also some of esteemed websites are providing the information about these tools. You download these tools by paying a nominal amount.

Source: http://ezinearticles.com/?An-Easy-Way-For-Data-Extraction&id=3517104

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.

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

Outsource Data Mining Services to Offshore Data Entry Company

Companies in India offer complete solution services for all type of data mining services.

Data Mining Services and Web research services offered, help businesses get critical information for their analysis and marketing campaigns. As this process requires professionals with good knowledge in internet research or online research, customers can take advantage of outsourcing their Data Mining, Data extraction and Data Collection services to utilize resources at a very competitive price.

In the time of recession every company is very careful about cost. So companies are now trying to find ways to cut down cost and outsourcing is good option for reducing cost. It is essential for each size of business from small size to large size organization. Data entry is most famous work among all outsourcing work. To meet high quality and precise data entry demands most corporate firms prefer to outsource data entry services to offshore countries like India.

In India there are number of companies which offer high quality data entry work at cheapest rate. Outsourcing data mining work is the crucial requirement of all rapidly growing Companies who want to focus on their core areas and want to control their cost.

Why outsource your data entry requirements?

Easy and fast communication: Flexibility in communication method is provided where they will be ready to talk with you at your convenient time, as per demand of work dedicated resource or whole team will be assigned to drive the project.

Quality with high level of Accuracy: Experienced companies handling a variety of data-entry projects develop whole new type of quality process for maintaining best quality at work.

Turn Around Time: Capability to deliver fast turnaround time as per project requirements to meet up your project deadline, dedicated staff(s) can work 24/7 with high level of accuracy.

Affordable Rate: Services provided at affordable rates in the industry. For minimizing cost, customization of each and every aspect of the system is undertaken for efficiently handling work.

Outsourcing Service Providers are outsourcing companies providing business process outsourcing services specializing in data mining services and data entry services. Team of highly skilled and efficient people, with a singular focus on data processing, data mining and data entry outsourcing services catering to data entry projects of a varied nature and type.

Why outsource data mining services?

360 degree Data Processing Operations

Free Pilots Before You Hire

Years of Data Entry and Processing Experience

Domain Expertise in Multiple Industries

Best Outsourcing Prices in Industry

Highly Scalable Business Infrastructure

24X7 Round The Clock Services

The expertise management and teams have delivered millions of processed data and records to customers from USA, Canada, UK and other European Countries and Australia.

Outsourcing companies specialize in data entry operations and guarantee highest quality & on time delivery at the least expensive prices.

Herat Patel, CEO at 3Alpha Dataentry Services possess over 15+ years of experience in providing data related services outsourced to India.

Visit our Facebook Data Entry profile for comments & reviews.

Our services helps to convert any kind of  hard copy sources, our data mining services helps to collect business contacts, customer contact, product specifications etc., from different web sources. We promise to deliver the best quality work and help you excel in your business by focusing on your core business activities. Outsource data mining services to India and take the advantage of outsourcing and save cost.

Source:http://ezinearticles.com/?Outsource-Data-Mining-Services-to-Offshore-Data-Entry-Company&id=4027029

Basics of Web Data Mining and Challenges in Web Data Mining Process

Today World Wide Web is flooded with billions of static and dynamic web pages created with programming languages such as HTML, PHP and ASP. Web is great source of information offering a lush playground for data mining. Since the data stored on web is in various formats and are dynamic in nature, it's a significant challenge to search, process and present the unstructured information available on the web.

Complexity of a Web page far exceeds the complexity of any conventional text document. Web pages on the internet lack uniformity and standardization while traditional books and text documents are much simpler in their consistency. Further, search engines with their limited capacity can not index all the web pages which makes data mining extremely inefficient.

Moreover, Internet is a highly dynamic knowledge resource and grows at a rapid pace. Sports, News, Finance and Corporate sites update their websites on hourly or daily basis. Today Web reaches to millions of users having different profiles, interests and usage purposes. Every one of these requires good information but don't know how to retrieve relevant data efficiently and with least efforts.

It is important to note that only a small section of the web possesses really useful information. There are three usual methods that a user adopts when accessing information stored on the internet:

• Random surfing i.e. following large numbers of hyperlinks available on the web page.

• Query based search on Search Engines - use Google or Yahoo to find relevant documents (entering specific keywords queries of interest in search box)

• Deep query searches i.e. fetching searchable database from eBay.com's product search engines or Business.com's service directory, etc.

To use the web as an effective resource and knowledge discovery researchers have developed efficient data mining techniques to extract relevant data easily, smoothly and cost-effectively.

Source: http://ezinearticles.com/?Basics-of-Web-Data-Mining-and-Challenges-in-Web-Data-Mining-Process&id=4937441

Database Mining

The term database mining refers to the process of extracting information from a set database and transforming that into understandable information. The data mining process is also known as data dredging or data snooping. The consumer focused companies into retail, financial, communication, and marketing fields are using data mining for cost reduction and increase revenues. This process is the powerful technology, which helps the organisations to focus on the most important and relevant information from their collected data. Organisations can easily understand the potential customers and their behaviour with this process. By predicting behaviours of future trends the recruitment process outsourcing firms assists the multiple organisations to make proactive and profitable decisions in their business. The database mining term is originated from the similarities between searching for valuable information in large databases and mining a mountain for a vein of valuable crystal.

Recruitment process outsourcing firm helps the organisation for the betterment of their future by analyzing the data from distinctive dimensions or angles. From the business point of view, the data mining and data entry services leads the organisation to increase their profitability and customer demands. Data mining process is must for every organisation to survive in the competitive market and quality assurance. Now a day the data mining services are actively utilised and adapted by many organisations to achieve great success and analyse competitor growth, profit analysis, budget, and sales etc. The data mining is a form of artificial intelligence that uses the automated process to find required information. You can easily and swiftly plan your business strategy for the future by finding and collecting the equivalent information from huge data.

With the advanced analytics and modern techniques, the database mining process uncovers the in-depth business intelligence. You can ask for the certain information and let this process provide you information, which can lead to an immense improvement in your business and quality. Every organisation holds a huge amount of data in their database. Due to rapid computerisation of business, the large amount of data gets produced by every organisation and then database mining comes in the picture. When there are problems arising and challenges addressing in the database management of your organisation, the fundamental usage of data mining will help you out with maximum returns. Thus, from the strategic point of view, the rapidly growing world of digital data will depend on the ability of mining and managing the data.

Source: http://ezinearticles.com/?Database-Mining&id=7292341

Know the Different Types of Mining Processes

Mining has become a controversial industry because of its "devastating" effect to the environment and the ecosystem. However, it has contributed so much to civilization that without it, we could never be where we are today in many aspects.

There are two basic methods of mining. These are the surface and the underground mining processes:

1. Surface Mining

This involves the mining of minerals located at or near the surface of the earth. This encompasses at least six processes and these are:

• Strip Mining - this involves the stripping of the earth's surface by heavy machinery. This method is generally targeted at extracting coal or sedimentary rocks that lay near the earth's surface.

• Placer Mining - this involves the extraction of sediments in sand or gravel. It is a simple, old-fashioned way of mining. This method is generally applicable to gold and precious gems that are carried by the flow of water.

• Mountain Top Mining - this is a new method which involves blasting of a mountain top to expose coal deposits that lie underneath the mountain crest.

• Hydraulic Mining - this is an obsolete method that involves jetting the side of a mountain or hill with high pressure water to expose gold and other precious metals.

• Dredging - it involves the removal of rocks, sand and silt underneath a body of water to expose the minerals.

• Open Pit - this is the most common mining method. It involves the removal of the top layers of soil in search for gold or buried treasure. The miner digs deeper and deeper until a large, open-pit is created.

2. Underground Mining

This is the process in which a tunnel is made into the earth to find the mineral ore. The mining operation is usually performed with the use of underground mining equipment. Underground mining is done through the following methods:

• Slope Mining - it involves the creation of slopes into the ground in order to reach the ore or mineral deposit. This process is generally applied in coal mining.

• Hard rock - this method uses dynamite or giant drills to create large, deep tunnels. The miners support the tunnels with pillars to prevent them from collapsing. This is a large-scale mining process and is usually applied in the extraction of large copper, tin, lead, gold or silver deposits.

• Drift mining - this method is applicable only when the target mineral is accessible from the side of a mountain. It involves the creation of a tunnel that's slightly lower than the target mineral. The gravity makes the deposit fall to the tunnel where miners can collect them.

• Shaft method - this involves the creation of a vertical passageway that goes deep down underground where the deposit is located. Because of the depth, miners are brought in and out of the pit with elevators.

• Borehole method - this involves the use of a large drill and high pressure water to eject the target mineral.

These are the basic methods used in the extraction of common minerals. There are more complex systems, but still, they are based on these fundamental processes.

Source: http://ezinearticles.com/?Know-the-Different-Types-of-Mining-Processes&id=7932442