Really are the Education Industries do marketing activities as like eCommerce Portal?

“If you have command over English, you can command anyone”. This is the proverb used to say someone is expert in particular subject or particular business so that he has command over power compare to other team members. The Education System also started like that someone might be in the teaching profession couple of decade of years and he would have awarded by many of the Non-profitable organizations and Educational Body’s as “Best of the teacher”, “Award-winning headteacher”, “Teacher of the year”, etc…

The person mind & soul is full of upliftment of education for the nation. Being the education upliftment for nation as ambition he may start the school in very small way that too even without infrastructure because he is not the Businessman or not funded by Venture Capital (VC). But by the word of mouth, he would be getting overwhelming admissions for his schools though he doesn’t have any school infrastructure, process, standards, etc… Nowadays, we have 1000s of schools in the market but we can count it those kinds of schools being very few schools that too it may be single digit.

We would like to take this opportunity to introduce one pre-school in Bangalore which has started in very small in last year that too less than 30 students (Without any marketing activity or marketing strategy). More than the education, they are doing as profession. You can’t imagine the kind of care or Toiling and moiling effort to improve the kids wisdom in all the aspects. You would be wondering even the 15 months old kid what they noticed and given the annual report. It’s amazing! Marvelous. Please find the sample report here. (Download). It’s our wishes to success in their academic excellence.

Important Note: Pramiti is one of the only schools along with Inventure Academy in Karnataka that is part of the India Inclusion Forum launched on 26th of January 2014 on the occasion of Republic Day.

Today the schools are opened by the business people as another business entity part of their business. It becomes chain of schools. It’s another way of revenue generating model. Recently we observed one chain of school opened nearing to our area BTM, Bangalore which has done 1….N Marketing Activity (we can say there is no more marketing activity) to fulfill the admissions. Even the corporate generate Crores of business everyday they might not be done such a Huge Advertisement. It’s called as Killer Strategy. Usually, the Killer Strategy would be implemented ONLY product based company to compete other product or services. But Schools are doing it’s unvitable. Because end of the day all this marketing expenses going to bear by parents.

It’s NOT only the schools are doing these marketing activities. Even most of the colleges, universities, B-Schools are doing these marketing activities. One of their key marketing activities or strategies is Bulk SMS Promotional Activities with the key Targeted Audience. i.e.)  ABC Company is offering B-School(MBA Course) as part time course, they go to Job Portal and target all the fresh graduates and download their contacts and keep sending them SMS Communication about the advantages of B-School, features, etc… and convert them to become the B-School enrollment.

Conclusion: It’s quiet common nowadays each educational institutions targeting their student base and keep sending the SMS Communication to convert them into admissions. It becomes one of the basic marketing activities for Educational Institutions.

Source:http://blogs.siliconindia.com/bulksmscompany/Business/Really-are-the-Education-Industries-do-marketing-activities-as-like-eCommerce-Portal-bid-fP9gkbI221215141.html

Bitcoin Mining Company CoinTerra Enters Cloud Mining

Amid rapid changes in the bitcoin mining industry, another bitcoin miner is going into the cloud.

CoinTerra on Monday announced that it will begin offering cloud-based mining services to its customers, becoming the second big miner this month to make the move. As the price of bitcoin has tumbled, it has become increasingly difficult to profitably mine bitcoin, a problem for the miners and the companies catering to them.

As more miners come aboard, the bitcoin algorithm automatically adjusts its difficultly higher. This has sparked an arms race, with miners deploying increasingly powerful computers to stay on top. That has led to a rising spiral of costs. It’s reached the point where it’s become cost-prohibitive for people to mine on their own. Cloud mining, where miners buy contracts from companies like CoinTerra and PeerNova, is emerging as a cheaper option.

CoinTerra, founded nearly a year ago,  will be selling one- and two-year contracts for a range of mining power, from 200 gigahash (small) up to one petahash (big), as well as continuing to sell mining rigs. “We’re catering to basically the entire spectrum out there,” CEO Ravi Iyengar told BitBeat. Through the mining rigs it sells, CoinTerra comprises about 15% of the total mining output, the company said, and it expects to maintain that market share.

As bitcoin has grown, the”hash rate,” a measurement of mining power, has skyrocketed. In September 2013, the entire mining network reached the 1 petahash/second rate, a multiple of 40 times higher than in January 2013. Now CoinTerra will be selling 1 petahash contracts. It’s gotten so big, it’s harder to mine profitably on anything but a very large scale. CoinTerra itself saw sales drop 30% in April. Thus the move into cloud mining.

In the early days of the cryptocurrency, it was possible to mine using desktop computers. As it grew, CPUs gave way to graphics cards, which gave way to generic chips modified for mining, which gave way to chips programmed for a single task called ASICs. It now takes machines with multiple dedicated chips to mine profitably, and increasingly even that kind of computing power doesn’t provide a sufficient return on the investment, given the falling price of bitcoins, the increasing size of the mining community, and the concurrent increasing energy demands, which has emerged as a major roadblock. “Space and power is a big issue,” Mr. Iyengar told BitBeat. “The power required is unlike any other server industry.”

CoinTerra is leasing space at several data centers in the U.S., he said, and has some plans to build its own data center.

The upheaval has resulted in a string of problems for the industry, from bankruptcies to delivery delays to lawsuits. KnCMiner has had problems with deliveries, and branched out into selling rigs that mine for altcoins rather than bitcoin. Butterfly Labs is involved in several lawsuits, and a startup called HashFast Technologies (which is also involved in a lawsuit) on Monday announced that it laid off 50% of its staff. Washington-based Alydian simply went bankrupt as the cloud-based mining business it built couldn’t keep up with the increasing power demands.

“A lot of people got into this space in the mad gold rush,” Mr. Iyengar said, “here you’re trying to combine hardware and software and the whole supply chain associated with a server market.” He likened it to trying to combine Intel, Microsoft, and Dell.

The total computing power is rising at such an exponential rate, that machines have a short productive lifespan. Even a delay of a month or two between the time a customer places an order and the time the machine arrives can severely cut into profits.

Thus the move into the cloud. CoinTerra joins the recently formed PeerNova in offering cloud services.

Source:http://blogs.wsj.com/moneybeat/2014/05/12/bitcoin-mining-company-cointerra-enters-cloud-mining/

Increasing Accessibility by Scraping Information From PDF

You may have heard about data scraping which is a method that is being used by computer programs in extracting data from an output that comes from another program. To put it simply, this is a process which involves the automatic sorting of information that can be found on different resources including the internet which is inside an html file, PDF or any other documents. In addition to that, there is the collection of pertinent information. These pieces of information will be contained into the databases or spreadsheets so that the users can retrieve them later.

Most of the websites today have text that can be accessed and written easily in the source code. However, there are now other businesses nowadays that choose to make use of Adobe PDF files or Portable Document Format. This is a type of file that can be viewed by simply using the free software known as the Adobe Acrobat. Almost any operating system supports the said software. There are many advantages when you choose to utilize PDF files. Among them is that the document that you have looks exactly the same even if you put it in another computer so that you can view it. Therefore, this makes it ideal for business documents or even specification sheets. Of course there are disadvantages as well. One of which is that the text that is contained in the file is converted into an image. In this case, it is often that you may have problems with this when it comes to the copying and pasting.

This is why there are some that start scraping information from PDF. This is often called PDF scraping in which this is the process that is just like data scraping only that you will be getting information that is contained in your PDF files. In order for you to begin scraping information from PDF, you must choose and exploit a tool that is specifically designed for this process. However, you will find that it is not easy to locate the right tool that will enable you to perform PDF scraping effectively. This is because most of the tools today have problems in obtaining exactly the same data that you want without personalizing them.

Nevertheless, if you search well enough, you will be able to encounter the program that you are looking for. There is no need for you to have programming language knowledge in order for you to use them. You can easily specify your own preferences and the software will do the rest of the work for you. There are also companies out there that you can contact and they will perform the task since they have the right tools that they can use. If you choose to do things manually, you will find that this is indeed tedious and complicated whereas if you compare this to having professionals do the job for you, they will be able to finish it in no time at all. Scraping information from PDF is a process where you collect the information that can be found on the internet and this does not infringe copyright laws.

Source:http://ezinearticles.com/?Increasing-Accessibility-by-Scraping-Information-From-PDF&id=4593863

Grepsr scraping service Review

As we reviewed web scraping software and services, we stumbled upon an interesting cloud scraping service called Grepsr. This service is dedicated to extracting consumer requested data by its own specialists with the possibility that the user may control scrape scheduling and some other data extraction steps.

Grepsr focuses on a project for scrape. You don’t need to worry about choosing an extractor, the environment to run it or DB for data storage; everything is done for you. Just give a precise description of data you need and your request will be processed. The sample request I composed took them just over 30 min. to complete the data extraction. The pricing hinges on the down payment for a project and the number of scheduled projects per month regardless of the data amount you scrape. One shortage of the UI is when scaling the page up, fonts remain the same size, irritating the eyes.

Make a Sample Project

You don’t need to log in to Grepsr before you describe your target data for a sample project.  To point at the data you might want, use the visual tools at Grepsr, the mark up box or just enter notes. The online specialist is prompt to chat with you. As you describe the extraction details and leave your contact info, a confirmation letter will be sent to you and your project will be indicated as one in process. In the following picture, I marked the needed info using the inbuilt box with the comment box appearing under the table. I was able to compose the request quickly. 

Moreover, you may specify any search filters or login info for target page(s) if needed.

Data Synchronization and Storage

For each project, you choose the way to get the data synchronized, depending on your needed output format. You may request CSV, PDF or HTML files delivered to your FTP, Dropbox or Google Docs account. Also, you may request notification about your extracted data through alerts via Email or HTTP POST.

There is currently no limit for account data storage amount. However, if the storage amount becomes excessive (GBs), the data may either be archived or deleted or there may be a cost for storage.

Payment

The project development cost is $129, regardless of complexity unless the task has a very unique requirement (then custom pricing is used). The one-time extraction limit for new project is 50K records from 1 website. The first sample will be free – but to be able to download the data daily, there will be a $99 setup fee and $50 per month per project payable after viewing the sample data, regardless of the data amount extracted.

Scheduling

Scheduling is well organized, as shown below:

Summary

Unlike many other data hunting/scraping services, Grepsr provides usable tools to manage projects and scheduling. The service is user-friendly with prompt support. If you know nothing about programming and web scraping, but you need to get a data from the web, this service is for you. But if you are a programmer and know how to extract web data, you may use another web scraping solution to have more freedom with a lower cost.

Source: http://scraping.pro/grepsr-scraping-service-review/

Getting Back Into Internet Marketing

Today I am getting back into internet marketing. In the last few weeks I have completely stopped internet marketing to focus on property. There is so much more money to be made easier in property than internet marketing and I can see now how property can provide me with financial freedom a lot quicker than internet marketing ever could.

Although I do have a problem. Property doesn't take up a lot of my time. Doing property deals is an elongated process and takes minutes of your time spread throughout each day and each week. But then you have the dilemma of what you do with the time in between. I could do nothing, but that isn't exactly me, I always love to have my head full of something.

So after much consideration I have decided to start getting back into internet marketing. Property will still be my focus, and will be my focus until I am financially free, but I realise that internet marketing will be good for me also. Firstly it will generate income which will increase my borrowing power, secondly it will give me something to do, but most importantly it will give me an outlet for which to teach.

I have come a long way in the last 6 months when it comes to understanding wealth and actually being in a position where I am moving forward into wealth. I am currently still in negotiations on my first property deal and I am looking to do my second deal within the next month.

It will be very different teaching wealth from a place of wealth (or really moving towards) than just from a student's perspective. In the past I have always been the student of wealth, someone who knows a lot but not someone that had a lot of money. In fact I worked just enough to scrape by so that I could spend my time studying wealth. This meant I had great knowledge but no money.

I do believe that knowledge brings with it finance. The size of your bank account will increase to fit in with the size of you as a person. If you are rich on the inside, you will naturally gather and grow money to reflect who you are on the inside. If you are poor on the inside, even if you win lotto, your money will naturally shrink to fit who you are. So I am so glad that I focused on increasing my capacity instead of working harder for money.

I haven't really planned out exactly what I am going to do when it comes to internet marketing. This blog exists as my own outlet for my life, so it won't be part of my investment plan. I am not trying to make money from this blog. Although I have a few other things in mind.

I have grown a large subscriber base over the last few years (about 1,500 subscribers) but making money from my subscribers has always seem to elude me. So to combat this I plan to create my own course to market to my subscribers. It will be a course to teach people about the financial basics that I have been learning for the last 6 months. The financial basics that have allowed me to purchase my first property and start generating passive income.

I also want to continue to market and grow my list. I have around 1,500 subscribers. Ultimately I want to have 60,000+ subscribers and to get them I will be writing articles and submitting them to article directories.

I also want to eventually create a "How to make money with Aweber" course. I free course that I would market and get people to sign up for. The course would be free and I would only make money through affiliate sales of the Aweber service.

Basically I am trying to keep my brain occupied and have a little bit of fun in between doing each property deal.

Your next step towards becoming rich is to increase your financial IQ through education. By educating yourself in the area of finances you will be able to get a greater return on investment and you will be able to earn more with less work and less risk. Does that sound good to you?

Source:http://ezinearticles.com/?Getting-Back-Into-Internet-Marketing&id=3744975

Five Steps to Quality Essay Writing

No two writers think alike. Everyone is unique. For the same reason, everyone has his own manner of using language. But as far as the science of essay writing is concerned, there are some general parameters to be followed. While writing an essay, certain tips will help you to make it an excellent one.

1. A Well Balanced Essay

Ideas should not be written in a Chaotic or disorganized manner. There must be an easy and automatic flow. You are not supposed to stop an essay in the middle of a hot issue. Proceed in such a way that each and every sentence must guide you to the conclusion. The beginning, the middle and the end must be crystal clear to the readers. How you begin, how you proceed and how you end up; all have equal importance in the assessment of an essay.

A well begun stuff pushes the readers to keep on reading it. Though the middle portion of the essay bears the essence of your topic, the conclusion is not of less importance. In short, each and every part of an essay is next to nothing.

2. Too Much is Too Bad

Never go for marathon writing. Essays must not be too long. It kills the grandeur of your work. Write the relevant points using minimum number of words which are apt and attractive. Though there are no strict rules governing the length of the essays, it is always desirable to finish it with 350 words. However you are free to break this unwritten law to a certain extent, considering the seriousness of your subject matter. A topic which requires much statements and explanations can take a little more length. But keep in mind the above said words; Too much is too bad.

3. Be up-to-the-minute

No need to mention the importance of 'knowledge chase' in the process of every type of writings. All findings start when you start finding the apt source. But don't be cheated by resources which are outdated. Be accurate in selecting the right assistance.

You can surpass your fellow students by attempting something new. Go for innovation in whatever field you indulge in. Any creative writing stuff can be made exceptional by clinging on to latest information on air. It shows that you are keeping the right pace with the world around.

4. Style par excellent

Don't use unnatural and unfamiliar words. An inclination to use these types of words seems to be made-up. A highly intricate language with full of unnecessary ornamentation leads the reader to finish reading from the middle. Use natural expressions in a novel way. Don't make sentences too complicated and too polished. Let them be interactive and conversing. Make it a thorough piece of objective one.

5. A flavor of personal touch

Study an issue from a number of possible angles. After finding creative assistance from experienced hands, add your own opinion. Give a personal touch to it. As far as your assignment is concerned, what others said is only secondary. An essay should not be a collection of the opinions of great writers and orators. There should be your stamp in it. Your own feelings and outlooks make the essay solely yours. Never be under the impression that you are second to somebody. Think that you are a person of importance. Crush the psychological barrier to include your individuality in your writings. Keep in mind; you are capable of doing anything great.

Source:http://ezinearticles.com/?Five-Steps-to-Quality-Essay-Writing&id=3127797

Three Common Methods For Web Data Extraction

Probably the most common technique used traditionally to extract data from web pages this is to cook up some regular expressions that match the pieces you want (e.g., URL's and link titles). Our screen-scraper software actually started out as an application written in Perl for this very reason. In addition to regular expressions, you might also use some code written in something like Java or Active Server Pages to parse out larger chunks of text. Using raw regular expressions to pull out the data can be a little intimidating to the uninitiated, and can get a bit messy when a script contains a lot of them. At the same time, if you're already familiar with regular expressions, and your scraping project is relatively small, they can be a great solution.

Other techniques for getting the data out can get very sophisticated as algorithms that make use of artificial intelligence and such are applied to the page. Some programs will actually analyze the semantic content of an HTML page, then intelligently pull out the pieces that are of interest. Still other approaches deal with developing "ontologies", or hierarchical vocabularies intended to represent the content domain.

There are a number of companies (including our own) that offer commercial applications specifically intended to do screen-scraping. The applications vary quite a bit, but for medium to large-sized projects they're often a good solution. Each one will have its own learning curve, so you should plan on taking time to learn the ins and outs of a new application. Especially if you plan on doing a fair amount of screen-scraping it's probably a good idea to at least shop around for a screen-scraping application, as it will likely save you time and money in the long run.

So what's the best approach to data extraction? It really depends on what your needs are, and what resources you have at your disposal. Here are some of the pros and cons of the various approaches, as well as suggestions on when you might use each one:

Raw regular expressions and code

Advantages:

- If you're already familiar with regular expressions and at least one programming language, this can be a quick solution.

- Regular expressions allow for a fair amount of "fuzziness" in the matching such that minor changes to the content won't break them.

- You likely don't need to learn any new languages or tools (again, assuming you're already familiar with regular expressions and a programming language).

- Regular expressions are supported in almost all modern programming languages. Heck, even VBScript has a regular expression engine. It's also nice because the various regular expression implementations don't vary too significantly in their syntax.

Disadvantages:

- They can be complex for those that don't have a lot of experience with them. Learning regular expressions isn't like going from Perl to Java. It's more like going from Perl to XSLT, where you have to wrap your mind around a completely different way of viewing the problem.

- They're often confusing to analyze. Take a look through some of the regular expressions people have created to match something as simple as an email address and you'll see what I mean.

- If the content you're trying to match changes (e.g., they change the web page by adding a new "font" tag) you'll likely need to update your regular expressions to account for the change.

- The data discovery portion of the process (traversing various web pages to get to the page containing the data you want) will still need to be handled, and can get fairly complex if you need to deal with cookies and such.

When to use this approach: You'll most likely use straight regular expressions in screen-scraping when you have a small job you want to get done quickly. Especially if you already know regular expressions, there's no sense in getting into other tools if all you need to do is pull some news headlines off of a site.

Ontologies and artificial intelligence

Advantages:

- You create it once and it can more or less extract the data from any page within the content domain you're targeting.

- The data model is generally built in. For example, if you're extracting data about cars from web sites the extraction engine already knows what the make, model, and price are, so it can easily map them to existing data structures (e.g., insert the data into the correct locations in your database).

- There is relatively little long-term maintenance required. As web sites change you likely will need to do very little to your extraction engine in order to account for the changes.

Disadvantages:

- It's relatively complex to create and work with such an engine. The level of expertise required to even understand an extraction engine that uses artificial intelligence and ontologies is much higher than what is required to deal with regular expressions.

- These types of engines are expensive to build. There are commercial offerings that will give you the basis for doing this type of data extraction, but you still need to configure them to work with the specific content domain you're targeting.

- You still have to deal with the data discovery portion of the process, which may not fit as well with this approach (meaning you may have to create an entirely separate engine to handle data discovery). Data discovery is the process of crawling web sites such that you arrive at the pages where you want to extract data.

When to use this approach: Typically you'll only get into ontologies and artificial intelligence when you're planning on extracting information from a very large number of sources. It also makes sense to do this when the data you're trying to extract is in a very unstructured format (e.g., newspaper classified ads). In cases where the data is very structured (meaning there are clear labels identifying the various data fields), it may make more sense to go with regular expressions or a screen-scraping application.

Screen-scraping software

Advantages:

- Abstracts most of the complicated stuff away. You can do some pretty sophisticated things in most screen-scraping applications without knowing anything about regular expressions, HTTP, or cookies.

- Dramatically reduces the amount of time required to set up a site to be scraped. Once you learn a particular screen-scraping application the amount of time it requires to scrape sites vs. other methods is significantly lowered.

- Support from a commercial company. If you run into trouble while using a commercial screen-scraping application, chances are there are support forums and help lines where you can get assistance.

Disadvantages:

- The learning curve. Each screen-scraping application has its own way of going about things. This may imply learning a new scripting language in addition to familiarizing yourself with how the core application works.

- A potential cost. Most ready-to-go screen-scraping applications are commercial, so you'll likely be paying in dollars as well as time for this solution.

- A proprietary approach. Any time you use a proprietary application to solve a computing problem (and proprietary is obviously a matter of degree) you're locking yourself into using that approach. This may or may not be a big deal, but you should at least consider how well the application you're using will integrate with other software applications you currently have. For example, once the screen-scraping application has extracted the data how easy is it for you to get to that data from your own code?

When to use this approach: Screen-scraping applications vary widely in their ease-of-use, price, and suitability to tackle a broad range of scenarios. Chances are, though, that if you don't mind paying a bit, you can save yourself a significant amount of time by using one. If you're doing a quick scrape of a single page you can use just about any language with regular expressions. If you want to extract data from hundreds of web sites that are all formatted differently you're probably better off investing in a complex system that uses ontologies and/or artificial intelligence. For just about everything else, though, you may want to consider investing in an application specifically designed for screen-scraping.

As an aside, I thought I should also mention a recent project we've been involved with that has actually required a hybrid approach of two of the aforementioned methods. We're currently working on a project that deals with extracting newspaper classified ads. The data in classifieds is about as unstructured as you can get. For example, in a real estate ad the term "number of bedrooms" can be written about 25 different ways. The data extraction portion of the process is one that lends itself well to an ontologies-based approach, which is what we've done. However, we still had to handle the data discovery portion. We decided to use screen-scraper for that, and it's handling it just great. The basic process is that screen-scraper traverses the various pages of the site, pulling out raw chunks of data that constitute the classified ads. These ads then get passed to code we've written that uses ontologies in order to extract out the individual pieces we're after. Once the data has been extracted we then insert it
into a database.

Source:http://ezinearticles.com/?Three-Common-Methods-For-Web-Data-Extraction&id=165416