Popular Data Entry Software Applications and How to Choose the Best One for Your Business

It is common knowledge that utilizing modern, cutting edge software programs can help any business run smoothly, stay effective, and compete with similar companies. Current market demands require fast, affordable, and convenient tools, and a business that fails to utilize these devices is setting themselves up for struggle and eventual failure. With so many data entry software programs available, it can be confusing to sort through and choose the best program for your unique business concerns. Additionally, different companies may require a specific type or model of data entry software program that best adheres to the way they manage their particular information. Knowing what makes a data entry software program successful, which are the most popular and why, and which are best for your business can be a great advantage for any company looking to institute a data entry service.
How to Choose the Right Data Entry Software Program for Your Business

The variety of available software programs is vast, and there are many options to suit a variety of unique needs. Successful data entry software programs appeal to the specialized needs of businesses. While standard programs like Microsoft Excel are popular because of the spreadsheet style formatting and user-friendly layouts, they are rather simplistic and are not able to handle diverse formatting and a variety of informational requirements. However, there are numerous programs available that are equipped to manage the most difficult or specialized of data entry related needs. In order to be a helpful and valuable tool for a business, a data entry software program must be relevant to a company’s data managing and organizational needs.
For example, some programs are great for mobile applications like tablets and smartphones, and others are good for online and offline management. Some data entry software programs are cloud-based, some are good for converting documents, and others have advanced duplicate technology. A company must first understand what their data management needs are, and then decide which software program is best equipped to manage that type of information.

A business who handles the majority of their clients and files remotely might find that a data entry software program that utilizes cloud-based technology and a mobile app capability is the best option for their business style. This enables a business to have access to important information, documents, client details, and files while traveling. As more businesses are focused on international growth, mobile apps are becoming extremely popular and can be the perfect choice for a company that must travel often, or that has international offices.Similarly, a business that has large batches of files that need to be transferred from one medium to another might look to a data entry software program that focuses on converting documents or one that can input large quantities of data quickly. Companies like medical offices or hospitals that rely on both paper files and computer files might find this type of program particularly useful, and wouldn’t necessarily look to one that specializes in mobile or cloud technologies. Understanding how your company manages data can help you to determine what style of data software can best serve your needs.Some Popular Data Entry Software Programs

The sheer number of data entry software programs is astonishing, and it can be hard to weed out the bad from the good. While the idea of a “good” software program is relative, there are certainly some data entry software programs that rise above the rest. These particular programs have wide appeal for a reason, mainly because they can offer the most benefits for a diverse range of companies, not just niche business models. Accurate, efficient, complex data entry input is a common requirement across the board, and there are a few programs that are recognized as the most popular of their kind.
Viking Software Solutions is a popular option for image-based data input, and scanning large, complex documents. They boast an easy to use interface, and can handle large batches of data.

iUgum Data Software is a good option for merging data, as well as matching or managing lists. This style of software can handle diverse data platforms such as paper conversion into software. This style of data entry software is popular with companies that don’t have specialized data entry clerks on staff, and want streamlined, user-friendly software.
goCanvas is a popular choice for businesses that look to cloud-based and mobile app services. They offer specialized apps for unique business genres such as construction, retail, or healthcare, and this focused approach to data entry can be a good choice for companies that are looking for genre specific data management.

Lexmark is a popular U.K. based company that specializes in software that can scan and transfer large quantities of documents, and interpret handwritten information. This type of data entry software program is a good option for financial companies or medical businesses due to the ability to quickly and accurately translate handwritten documents.

These are only a few of the popular data entry software programs available on the market today, and there is no limit to the type of specialization they can offer. Yet a business must also consider the expense, time, personnel they are willing to assign to data management, and the amount of data that requires handling, and decide if outsourcing is a better option. Outsourcing to data management agencies can be a great option because these companies offer almost every type of specialized, unique data entry software programs, and can be an efficient option for a business looking to focus attention elsewhere and leave data management to experts.

Source : https://www.dataentryoutsourced.com/blog/choose-the-best-data-entry-software/

Advantages Of Running A Data Entry Business

The services provided by a data entry business are word processing, transcription, secretarial and other typing assignments. It is a

legitimate way to earn great income with your PC and internet access. But as with everything else, you need to consider the

following points should you want to start your business.

· Do you know how to evaluate the right opportunity?
· Will you be able to identity which types of work are available?
· What kind of customers are you targeting at?
· Can you create a marketing database for your business?

If your answers are yes to all those questions, you should have no problems setting up your program. But in order to achieve

success, you need a strong customer base.

As a product creator and owner, you need to acquire home-based assignments and clients from various sources like local business

sectors, independent contractors, individuals and freelancers.

If you are a home-based data entry business founder, you can do work for a data processing company. Alternatively you can also

do transcription for market survey firm. The quality you provides in your service will huge you huge success, creditability and

miscellaneous data entry projects from time to time.

There are many different kinds of jobs such as documentation, market research, bill entries, registration forms, payrolls and many

more. You can select one or more projects depending on your staff capability. The more flexible and sustainable your business is,

the more you will earn.

Once you have established your customer base, you can start expanding further by getting new customers from your existing

customers' referrals. This is how you develop and grow your business. But if you can master a new skill or come up with a brand

new cutting edge software, that will be so much better.

If you are able to run your business well and treat your customers exactly the way you want to be treated, you can certainly do

very well and earn a lot of money as from time to time you will be assigned with a variety of projects.

As much there are opportunities on the internet, there are also scams which promise people overnight success but fail to deliver

how they should go about achieving that. As a result, many lost money and became poorer than before.

If you are still uncertain about running your own data entry business or feel you are not ready due to lack of sufficient skills, you

may consider joining a well-reputable data entry program first and build your success from there. Just like a baby learning to

walk, you need to take the first step as an operator learning what it takes to succeed and apply.

Once you have achieved significant success, you will be more than ready to create one of your own and start building your team

by recruiting people whom you feel can do well in their jobs be it building database, developing software, conduct video training

or just online help desk support.



Article Source: http://ezinearticles.com/?Advantages-Of-Running-A-Data-Entry-Business&id=5376086

Better Business Management by Using Data Entry Services

Data entry services are integral part of any company that has data that needs to be managed. Most of the companies use internet for online data entry, so it is vital for the people doing it, has sufficient computer literacy. Data entry work is time consuming and lengthy therefore outsourcing online data entry services to India does the trick. When you outsource this service, the team of professionals handles your work effectively.

Having updated and correct data round the clock is of utmost importance, so that when the data is required it is there. For every business, data holds much importance. Many Website Design Company from India does the data entry job and outsourcing to them lightens the burden of data management. Study the website design portfolio of the website design company to get an idea about the work of the company. These companies have trained and skilled workforce that can handle data entry services efficiently.

Selection of data entry outsourcing firm depends upon the amount of data that is to be managed. You can hire data entry operator working on part-time or full-time basis for shorter or longer duration of time. If your company requires data handling on regular basis, then outsource your work to reliable outsourcing company.

These companies can handle successfully different types of data related to your business. It may include data conversion, documentation, data entry of the visitors and so on. Data entry services are also useful in keeping track of debit and credit card transactions, online forms filled in by the website visitors. In this competitive business atmosphere having up-to-date and organized data goes a long way in ensuring success, conquering your competitors.

Many companies carry out online survey to figure out the responses of the customers, data entry outsourcing helps in keeping track of the responses being entered and what are their wants. Data about the survey data along with mailing address, contact information, etc are stored so that they can be informed about any special change, addition or scheme in your business.

Whether your business is small scale, medium or big scale one; data outsourcing takes care of all data entry operations that form important part in business success. A good website design outsourcing company from India providing data entry services ensures better service quality and on-time delivery of result oriented services.



Article Source:http://ezinearticles.com/?Better-Business-Management-by-Using-Data-Entry-Services&id=1600148

What is Data Entry - Which Data Entry Services Are Popular?

Today, data entry business is the fastest growing businesses in the world whether we think so or not but it is fact. This data online entry is dynamic and is in regular changes.

Data form entries can be described as numeric, alpha numeric, text and form entry. Data entries services are very useful in business firms and organizations as there is a huge demand of entry.

Therefore, the outsourcing form entry business is flexible and is require detailed information and accuracy of ease of access. If you will outsource data entry requirements it helps to improve information management

system whether you are running a small business or large business company because information is vital asset in this industry.

You can release from the difficulty of all your information processing requirements because of high quality, cost effective services provided by data entry companies which also helps you to focus on other business

development processes which are also important.

Specially trained and skilled excel, word entry professional from offshore countries provide you excellent services with significant suggestions. There are several advantages of information entry outsourcing some

majors are:

o Lowest Possible Data-Entry Cost
o Accurate and Fast delivery
o Access of specialized service
o Increased client satisfaction
o Savings manpower and training costs
o Focusing energy and workforce on your core business

Some of the most important services provided by outsourcing companies are described below:

Catalogs Entries
Directories Entries
Numeric Information
Textual Information
Data Capture and Data Collection
Image Information
Online Form Information
OCR/ICR Processing

By outsourcing data-entry services you can enjoy the convenience and security of work done by data entries companies. DataEntryOutsourcing is provide complete data online entry services and you can get more

information about our data online entry company so visit our website.



Article Source: http://ezinearticles.com/?What-is-Data-Entry---Which-Data-Entry-Services-Are-Popular?&id=3567541

OUTSOURCING YELLOW PAGES DATA ENTRY SERVICES

Can’t find answers to your yellow pages data entry needs? If yes, read on to know how outsourcing yellow pages data entry services to professionals can help you collate huge volumes of data such as business listings, pre-sales leads, addresses, phone numbers, etc., from yellow pages.

Yellow pages are definitely one of the most reliable resources, organizations have at their disposal. However, extracting yellow pages data is a very laborious and time consuming process, requiring high level of skill and precision. At SunTec India, we offer a gamut of yellow pages data entry services to help extract all the relevant data quickly and efficiently. With our team of experienced professionals and latest cutting edge data capture technologies we are capable of handling all your yellow pages data entry service requirements with ease.

Benefits of Outsourcing Yellow Pages Data Entry Services

Outsourcing is a disruptive business strategy. If implemented wisely, it not only provides cost advantage, but also saves time and effort. The resources so saved can be invested into core business processes.

Here are few points highlighting the reasons why you need yellow pages data entry services and why outsourcing is the best option for you:

Manually extracting data from yellow pages is a very time consuming and tedious task. Outsourcing of time consuming processes frees up internal resources, helping organizations to focus on their activities.Outsourcing eliminates the need to invest in infrastructure and technology since it is taken care of by the outsourcing partner.
No need to spend a huge sum on creation of in-house data entry team. By outsourcing yellow pages data entry services, organizations can gain access to highly skilled workforce.
Quick turnaround time provided by outsourcing service providers helps organizations to use the data for business objectives within the quickest time span possible.
The experience gained by outsourcing partners while delivering complex yellow pages data entry services brings efficiency and productivity in the data entry process.

SunTec As Your Yellow Pages Data Entry Services Outsourcing Partner
SunTec has over 15 years of experience in providing yellow pages data entry services to clients worldwide. Having worked on both online and printed directories, professionals at SunTec have the required skills to help you organize your yellow pages data into a format of your choice like MS Access, MS-SQL, Microsoft Excel, MY SQL, etc.

https://www.suntecindia.com/blog/outsourcing-yellow-pages-data-entry-services/

ERP Data Conversions - Best Practices and Steps

ERP Data Conversions - Best Practices and Steps

Every company who has gone through an ERP project has gone through the painful process of getting the data ready for the new system. The process of executing this typically goes through the following steps:

(1) Extract or define

(2) Clean and transform

(3) Load

(4) Validate and verify

This process is typically executed multiple times (2 - 5+ times depending on complexity) through an ERP project to ensure that the good data ends up in the new system. If the data is either incorrect, not well enough cleaned or adjusted or loaded incorrectly in to the new system it can cause serious problems as the new system is launched.

(1) Extract or define

This involves extracting the data from legacy systems, which are to be decommissioned. In some cases the data may not exist in a legacy system, as the old process may be spreadsheet-based and has to be created from scratch. Typically this involves creating some extraction programs or leveraging existing reports to get the data in to a format which can be put in to a spreadsheet or a data management application.

(2) Data cleansing
Once extracted it normally reviewed is for accuracy by the business, supported by the IT team, and/or adjusted if incorrect or in a structure which the new ERP system does not understand. Depending on the level of change and data quality this can represent a significant effort involving many business stakeholders and required to go through multiple cycles.

(3) Load data to new system

As the data gets structured to a format which the receiving ERP system can handle the load programs may also be build to handle certain changes as part of the process of getting the data converted in to the new system. Data is loaded in to interface tables and loaded in to the new system's core master data and transactions tables.

When loading the data in to the new system the inter-dependency of the different data elements is key to consider and validate the cross dependencies. Exceptions are dealt with and go in to lessons learned and to modify extracts, data cleansing or load process in to the next cycle.

(4) Validate and verify

The final phase of the data conversion process is to verify the converted data through extracts, reports or manually to ensure that all the data went in correctly. This may also include both internal and external audit groups and all the key data owners. Part of the testing will also include attempting to transact using the converted data successfully.

The topmost success factors or best practices to execute a successful conversion I would prioritize as follows:

(1) Start the data conversion early enough by assessing the quality of the data. Starting too late can result in either costly project delays or decisions to load garbage and "deal with it later" resulting in an increase in problems as the new system is launched.

(2) Identify and assign data owners and customers (often forgotten) for the different elements. Ensure that not only the data owners sign-off on the data conversions but that also the key users of the data are involved in reviewing the selection criteria's, data cleansing process and load verification.

(3) Run sufficient enough rounds of testing of the data, including not only validating the loads but also transacting with the converted data.

(4) Depending on the complexity, evaluate possible tools beyond spreadsheets and custom programming to help with the data conversion process for cleansing, transformation and load process.

(5) Don't under-estimate the effort in cleansing and validating the converted data.

(6) Define processes and consider other tools to help how the accuracy of the data will be maintained after the system goes live.

Source: http://ezinearticles.com/?ERP-Data-Conversions---Best-Practices-and-Steps&id=7263314

Getting Data from the Web

Getting Data from the Web

You’ve tried everything else, and you haven’t managed to get your hands on the data you want. You’ve found the data on the web, but, alas — no download options are available and copy-paste has failed you. Fear not, there may still be a way to get the data out. For example you can:

Get data from web-based APIs, such as interfaces provided by online databases and many modern web applications (including Twitter, Facebook and many others). This is a fantastic way to access government or commercial data, as well as data from social media sites.

Extract data from PDFs. This is very difficult, as PDF is a language for printers and does not retain much information on the structure of the data that is displayed within a document. Extracting information from PDFs is beyond the scope of this book, but there are some tools and tutorials that may help you do it.

Screen scrape web sites. During screen scraping, you’re extracting structured content from a normal web page with the help of a scraping utility or by writing a small piece of code. While this method is very powerful and can be used in many places, it requires a bit of understanding about how the web works.

With all those great technical options, don’t forget the simple options: often it is worth to spend some time searching for a file with machine-readable data or to call the institution which is holding the data you want.

In this chapter we walk through a very basic example of scraping data from an HTML web page.
What is machine-readable data?

The goal for most of these methods is to get access to machine-readable data. Machine readable data is created for processing by a computer, instead of the presentation to a human user. The structure of such data relates to contained information, and not the way it is displayed eventually. Examples of easily machine-readable formats include CSV, XML, JSON and Excel files, while formats like Word documents, HTML pages and PDF files are more concerned with the visual layout of the information. PDF for example is a language which talks directly to your printer, it’s concerned with position of lines and dots on a page, rather than distinguishable characters.
Scraping web sites: what for?

Everyone has done this: you go to a web site, see an interesting table and try to copy it over to Excel so you can add some numbers up or store it for later. Yet this often does not really work, or the information you want is spread across a large number of web sites. Copying by hand can quickly become very tedious, so it makes sense to use a bit of code to do it.

The advantage of scraping is that you can do it with virtually any web site — from weather forecasts to government spending, even if that site does not have an API for raw data access.
What you can and cannot scrape

There are, of course, limits to what can be scraped. Some factors that make it harder to scrape a site include:

Badly formatted HTML code with little or no structural information e.g. older government websites.

Authentication systems that are supposed to prevent automatic access e.g. CAPTCHA codes and paywalls.

Session-based systems that use browser cookies to keep track of what the user has been doing.

A lack of complete item listings and possibilities for wildcard search.

Blocking of bulk access by the server administrators.

Another set of limitations are legal barriers: some countries recognize database rights, which may limit your right to re-use information that has been published online. Sometimes, you can choose to ignore the license and do it anyway — depending on your jurisdiction, you may have special rights as a journalist. Scraping freely available Government data should be fine, but you may wish to double check before you publish. Commercial organizations — and certain NGOs — react with less tolerance and may try to claim that you’re “sabotaging” their systems. Other information may infringe the privacy of individuals and thereby violate data privacy laws or professional ethics.
Tools that help you scrape

There are many programs that can be used to extract bulk information from a web site, including browser extensions and some web services. Depending on your browser, tools like Readability (which helps extract text from a page) or DownThemAll (which allows you to download many files at once) will help you automate some tedious tasks, while Chrome’s Scraper extension was explicitly built to extract tables from web sites. Developer extensions like FireBug (for Firefox, the same thing is already included in Chrome, Safari and IE) let you track exactly how a web site is structured and what communications happen between your browser and the server.

ScraperWiki is a web site that allows you to code scrapers in a number of different programming languages, including Python, Ruby and PHP. If you want to get started with scraping without the hassle of setting up a programming environment on your computer, this is the way to go. Other web services, such as Google Spreadsheets and Yahoo! Pipes also allow you to perform some extraction from other web sites.
How does a web scraper work?

Web scrapers are usually small pieces of code written in a programming language such as Python, Ruby or PHP. Choosing the right language is largely a question of which community you have access to: if there is someone in your newsroom or city already working with one of these languages, then it makes sense to adopt the same language.

While some of the click-and-point scraping tools mentioned before may be helpful to get started, the real complexity involved in scraping a web site is in addressing the right pages and the right elements within these pages to extract the desired information. These tasks aren’t about programming, but understanding the structure of the web site and database.

When displaying a web site, your browser will almost always make use of two technologies: HTTP is a way for it to communicate with the server and to request specific resource, such as documents, images or videos. HTML is the language in which web sites are composed.
The anatomy of a web page

Any HTML page is structured as a hierarchy of boxes (which are defined by HTML “tags”). A large box will contain many smaller ones — for example a table that has many smaller divisions: rows and cells. There are many types of tags that perform different functions — some produce boxes, others tables, images or links. Tags can also have additional properties (e.g. they can be unique identifiers) and can belong to groups called ‘classes’, which makes it possible to target and capture individual elements within a document. Selecting the appropriate elements this way and extracting their content is the key to writing a scraper.

Viewing the elements in a web page: everything can be broken up into boxes within boxes.

To scrape web pages, you’ll need to learn a bit about the different types of elements that can be in an HTML document. For example, the <table> element wraps a whole table, which has <tr> (table row) elements for its rows, which in turn contain <td> (table data) for each cell. The most common element type you will encounter is <div>, which can basically mean any block of content. The easiest way to get a feel for these elements is by using the developer toolbar in your browser: they will allow you to hover over any part of a web page and see what the underlying code is.

Tags work like book ends, marking the start and the end of a unit. For example <em> signifies the start of an italicized or emphasized piece of text and </em> signifies the end of that section. Easy.

An example: scraping nuclear incidents with Python

NEWS is the International Atomic Energy Agency’s (IAEA) portal on world-wide radiation incidents (and a strong contender for membership in the Weird Title Club!). The web page lists incidents in a simple, blog-like site that can be easily scraped.

To start, create a new Python scraper on ScraperWiki and you will be presented with a text area that is mostly empty, except for some scaffolding code. In another browser window, open the IAEA site and open the developer toolbar in your browser. In the “Elements” view, try to find the HTML element for one of the news item titles. Your browser’s developer toolbar helps you connect elements on the web page with the underlying HTML code.

Investigating this page will reveal that the titles are <h4> elements within a <table>. Each event is a <tr> row, which also contains a description and a date. If we want to extract the titles of all events, we should find a way to select each row in the table sequentially, while fetching all the text within the title elements.

In order to turn this process into code, we need to make ourselves aware of all the steps involved. To get a feeling for the kind of steps required, let’s play a simple game: In your ScraperWiki window, try to write up individual instructions for yourself, for each thing you are going to do while writing this scraper, like steps in a recipe (prefix each line with a hash sign to tell Python that this not real computer code). For example:

  # Look for all rows in the table
  # Unicorn must not overflow on left side.

Try to be as precise as you can and don’t assume that the program knows anything about the page you’re attempting to scrape.

Once you’ve written down some pseudo-code, let’s compare this to the essential code for our first scraper:

  import scraperwiki
  from lxml import html

In this first section, we’re importing existing functionality from libraries — snippets of pre-written code. scraperwiki will give us the ability to download web sites, while lxml is a tool for the structured analysis of HTML documents. Good news: if you are writing a Python scraper with ScraperWiki, these two lines will always be the same.

  url = "http://www-news.iaea.org/EventList.aspx"
  doc_text = scraperwiki.scrape(url)
  doc = html.fromstring(doc_text)

Next, the code makes a name (variable): url, and assigns the URL of the IAEA page as its value. This tells the scraper that this thing exists and we want to pay attention to it. Note that the URL itself is in quotes as it is not part of the program code but a string, a sequence of characters.

We then use the url variable as input to a function, scraperwiki.scrape. A function will provide some defined job — in this case it’ll download a web page. When it’s finished, it’ll assign its output to another variable, doc_text. doc_text will now hold the actual text of the website — not the visual form you see in your browser, but the source code, including all the tags. Since this form is not very easy to parse, we’ll use another function, html.fromstring, to generate a special representation where we can easily address elements, the so-called document object model (DOM).

  for row in doc.cssselect("#tblEvents tr"):
  link_in_header = row.cssselect("h4 a").pop()
  event_title = link_in_header.text
  print event_title

In this final step, we use the DOM to find each row in our table and extract the event’s title from its header. Two new concepts are used: the for loop and element selection (.cssselect). The for loop essentially does what its name implies; it will traverse a list of items, assigning each a temporary alias (row in this case) and then run any indented instructions for each item.

The other new concept, element selection, is making use of a special language to find elements in the document. CSS selectors are normally used to add layout information to HTML elements and can be used to precisely pick an element out of a page. In this case (Line. 6) we’re selecting #tblEvents tr which will match each <tr> within the table element with the ID tblEvents (the hash simply signifies ID). Note that this will return a list of <tr> elements.

As can be seen on the next line (Line. 7), where we’re applying another selector to find any <a> (which is a hyperlink) within a <h4> (a title). Here we only want to look at a single element (there’s just one title per row), so we have to pop it off the top of the list returned by our selector with the .pop() function.

Note that some elements in the DOM contain actual text, i.e. text that is not part of any markup language, which we can access using the [element].text syntax seen on line 8. Finally, in line 9, we’re printing that text to the ScraperWiki console. If you hit run in your scraper, the smaller window should now start listing the event’s names from the IAEA web site.

  figs/incoming/04-DD.png
  Figure 58. A scraper in action (ScraperWiki)

You can now see a basic scraper operating: it downloads the web page, transforms it into the DOM form and then allows you to pick and extract certain content. Given this skeleton, you can try and solve some of the remaining problems using the ScraperWiki and Python documentation:

Can you find the address for the link in each event’s title?

Can you select the small box that contains the date and place by using its CSS class name and extract the element’s text?

ScraperWiki offers a small database to each scraper so you can store the results; copy the relevant example from their docs and adapt it so it will save the event titles, links and dates.

The event list has many pages; can you scrape multiple pages to get historic events as well?

As you’re trying to solve these challenges, have a look around ScraperWiki: there are many useful examples in the existing scrapers — and quite often, the data is pretty exciting, too. This way, you don’t need to start off your scraper from scratch: just choose one that is similar, fork it and adapt to your problem.

Source: http://datajournalismhandbook.org/1.0/en/getting_data_3.html