Statistical Data Collection Methods - Making Sense of the Mine Field

When use correctly, statistical data can be used to improve an array of areas from efficiency, to lead time, and profit. But in order to make improvements you need to know how the data has been collected initially. This article is about Statistical data collection methods.

There are four main Statistical data collection methods:

Census
Sample survey
Experiment
Observational study

Each of these methods has it's own set of advantages and drawbacks, that's why one must be aware of all their characteristics to be able to choose the right method according to the individual situation. Here is a brief definition of each method:

Census - A census is a case study that acquires data from every population member. For the majority of cases, a census is not practical, due to the large amount of time and cost required to conduct it.
Sample Survey - A sample survey is a case study that obtains data only from a subset of the entire population, not every member, as oppose to Census, so it's much more practical and efficient to carry out, but the results might not be that accurate. For best results using this method it may be appropriate sub-categorize your target group and take a sample set from each sub-category. A basic example would be different ethnic groups.

Experiment - The experiment is a controlled study in which researchers try to understand the cause-and-effect relationships, how one thing affects another.

Observational study - Observational studies also try to discover the cause and effect relations, but unlike experiments, they are not able to control how subjects are assigned to groups.

As it was already pointed out, every method has its own pros and cons, so one must be able to know and make a decision regarding which method should be applied in a given situation. There are three factors that should affect this decision and they are - resources, generalizability, causal inference.

If resources are the main factor, then obviously with such a large population, a sample survey has an advantage over census. If the sample survey is well designed, then it can definitely provide results that are really close to the actual figures (high level of accuracy), and it will be done in a quicker and cheaper manner, requiring less man power than a census.

Generalizability stands for applying findings from a sample study to a larger population. Generalizability requires random selection. In case the participants in a study are randomly selected from a larger population, it is appropriate to generalize study results to the larger population, otherwise it might provide accurate results.

Statistical data collection methods are essential for sustainable economics, social and environmental development. We are living in the 'Information Age' where certain data sets are growing in size and complexity, reaching massive proportions, that's why such data collection methods are so important.

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Various Methods of Data Collection

Professionals in all the business industries widely use research, whether it is education, medical, or manufacturing, etc. In order to perform a thorough research, you need to follow few suitable steps regarding data collection. Data collection services play an important role in performing research. Here data is gathered with appropriate medium.

Types of Data

Research could be divided in two basic techniques of collecting data, namely: Qualitative collection of data and quantitative collection. Qualitative data is descriptive in nature and it does not include statistics or numbers. Quantitative data is numerical and includes a lot of figures and numbers. They are classified depending on the methods of its collection and its characteristics. Data collected primarily by the researcher without depending on pre-researched data is called primary data. Interviews as well as questionnaires are generally found primary data/information collection techniques. Data collected from other means, other than by the researcher is secondary data. Company surveys and government census are examples of secondary collection of information.

Let us understand in detail the methods of qualitative data collection techniques in research.

Internet Data: Here there is a huge collection of data where one gets a huge amount of information for research. Researchers remember that they depend on reliable sources on the web for precise information.
Books and Guides: This traditional technique is authentically used in today's research.

Observational data: Data is gathered using observational skills. Here the data is collected by visiting the place and noting down details of all that the researcher observes which is needed for essential for his research.

Personal Interviews: Increases authenticity of data as it helps to collect first hand information. It does not serve fruitful when a big number of people are to be interviewed.

Questionnaires: Serves best when questioning a particular class. A questionnaire is prepared by the researcher as per the need of data-collection and forwarded to responders.

Group Discussions: A technique of collecting data where the researcher notes down details of what people in a group has to think. He comes to a conclusion depending on the group discussion that involves debate on topics of research.

Use of experiments: To obtain the complete understanding researchers conduct real experiments in the field used mainly in manufacturing and science. It is used to obtain an in-depth understanding of the researching subject.

Data collection services use many techniques including the above mentioned for collection. These techniques are helpful to the researcher in drawing conceptual and statistical conclusions. In order to obtain precise data researchers combine two or more of the data collection techniques.


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How Data Entry Effects Innovation in Eco-Conscience Industries

The world is moving towards a progressive stance on eco-applications in every industry, from farming and wind energy, to hybrid cars and eco-industrial parks. As climate change is becoming a globally acknowledged issue, various industries are attempting to act with more awareness of the potential negative impact their products and practices may have upon the environment. Fields that are seemingly vastly different from one another are in fact taking quite similar approaches to innovation and change in regards to eco-conscience applications. While data entry and its entire multitude of utilizations are being applied throughout many businesses as a tool for organization and information management, it is also uniquely utilized within various “green” industries. Data entry, and all of its sub-divisions, is proving to be a strong instrument for pushing innovation within green businesses.Progressive Data Entry Applications Used to Connect Eco-Industries

An ongoing concern for many industries, particularly those that deal in excessive amounts of waste materials, is the environmental issue of dumping or disposing of waste materials. Diverse companies expel quantities of waste that cause pollution, are expensive to relocate or dispose of elsewhere, and are composed of materials that do not break down over the course of time, thus contributing to unclean and unhealthy local eco-systems. However, several of these industries have come together in a clever, progressive attempt to dispose of waste materials in an eco-conscience manner using data entry as a catalyst for modern change.

As much of the “waste” material disposed of by certain businesses is actually more closely related to scrap product, it is often repurchased to be used elsewhere by other, dissimilar companies for building materials and other applications. Yet problems such as location, lack of potentially expensive advertising, and transportation, has restricted the repurposing of materials to other sources. Seeing that this issue could be solved to the benefit of all parties, as well as the environment and local populace, a business in Denmark introduced a shared database system connecting various industries to one another for the purpose of recycling waste materials. Using a large, simple database system (coined “the Kalundborg model”), these companies can enhance information, utilities, and “waste” materials through industrial cooperation, and has been in practice for over thirty years. Incidentally, this action also minimizes pollution to a significant extent, as the materials are no longer allocated to dump sites but rather being used to build or add on to other creations. Yet the success of this project is limited to region, as well as government, geography, and other instances that play a factor into the actual enactment of this eco-conscience idea.

Enhancing the idea of the Kalundborg model is the theme of Eco-Industrial Parks, which gained popularity in the 1990’s and has seen rapid improvement in recent years. Considered to be a form of industrial ecology, it mimics natural ecological systems in the design of industrial parks. Businesses collaborate to manage reserves such as energy, water, and raw materials and reduce overall consumption of these resources. Companies cluster within a location, thereby creating an Eco-Industrial Park, to share materials and even common areas or transportation, in addition to linking electronically to share information regarding said materials. This would be impossible without massive quantities of linked data and online databases, uploaded onto community servers for all participants to access. When proximity is not attainable, Virtual Eco-Parks are created so that the geographical limitations are no longer a consideration for the recycling, repurposing, manufacturing, and receiving and selling of raw materials. Again, the application of linked databases containing all of the relevant information pertaining to all industries is key, though in the instance of Virtual Eco-Parks the data is structured in such a way that buyers and sellers can view data in categories relevant to their field, rather than having complete access to the entire network of information. Categorizing supplies, raw materials, and various commodities within structured databases allows for more efficient handling of commerce between industries, reducing the possibility of over-selling materials, or purchasing supplies that are currently unavailable.
Data Utilization within Green Manufacturing and Green Competencies

Green Competencies are environmentally conscience business practices and strategies aimed towards end-of-life products, and are practiced by diverse companies in nearly every field. The aim of this is to obtain value from product reuse, whether it is from spare parts, repair or re-manufacturing, recycling, or safe disposal of waste. Inspection, diagnostic, and reconditioning techniques are vital to the implementation of Green Competencies, and cannot be realized without complex, layered systems fronted by careful data entry. Product data is entered through automated systems using Optical Character Recognition or Intelligent Character Recognition software and either converted to formats used across multiple online systems, or processed for use as contracts, labor and parts production forms, or for accessibility on mobile devices. Finding potential buyers for recycled industry materials, as well as combing through virtual mountains of supplies must be streamlined and easy, which is why Green Competencies instill advanced categorization and expensive software to offset the sheer amount of companies accessing the databases at any given time.

Green Manufacturing has many sub-divisions, though all are aimed towards eco-conscience characteristics, and essentially focuses upon the creation and implementation of green products in many differing forms. Closed loop manufacturing, or zero-emissions, is practiced by many car manufacturers for the development of hybrid cars. Data is used in interesting ways, as cost and emissions calculations are constructed from informational figures composed from extensive data mining and elaborate spreadsheets. Gas efficiency is also determined from data entry compiled from closed course tests, as hybrid models must be able to compete with their traditional counterparts. Green Infrastructure, also called green landscaping, is another form of Green Manufacturing that applies creative data entry factors in the spread of its implementation. While one limited to drier climates like the American Southwest, for example, to save money on costly water bills, Green Infrastructure is now being applied in wider locations in the hopes of designing landscapes that work symbiotically with the native terrain. In this instance, Image Data Entry is the norm, as bulk amounts of images are scanned into systems for further study and analysis so that scientists, agriculturalists, botanists, and other experts can determine the feasibility of landscaping in any given location. Once scanned, images are broken down for coding, cataloging, processing, publishing, and scientific analysis.

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Data Entry and Benefits of Data Entry Outsourcing for Business

Data Entry is a procedure for handling, processing and entering of data or information into the computer. Data or information is a

found new ways for business. Without data or information, company cannot go ahead and become successful. Data is most

essential for any type of organizations of various industry verticals like medical, insurance, banking, commercial, financial,

educational, social, etc. Data entry is the best option for proper management of information and helpful to keep the business

running smoothly and effectively. It becomes very easy, with the help of outsourcing.

In present competitive market, there are large number of outsourcing company available and providing customized data entry

solution as business need at very reasonable rate. Outsourcing companies are providing wide range of business and professional

services like online and offline entry, document and image processing, image entry, insurance claim entry, book typing, medical

record entry, report copy typing, copy typing etc.

Outsourcing data entry has a large list of benefits for business some of few are mentioned below:

All in one: Outsourcing company have an ideal collection of allied services, which include, data conversion, PDF conversion, word

conversion, OCR clean up, PDF to DOC conversion, data processing, and much more.

Best services: All outsourcing companies have vast experience and highly qualified professionals with latest technologies to

deliver proper result quickly. To meet accurate output for your business they developed advanced infrastructure with reliable

technological instruments, security systems etc.

Save cost and resources: Outsourcing is very helpful to save up to half and cost behind total operations. You can lower down your

capital cost behind in house process. By outsourcing you can save your resources and spend it into further business productivity.

Maximized ROI: Outsourcing brings an ideal deal to the companies for maximize return of investment. In this way, the companies

can reduce the expenditure of resources and increase the efficiency and productivity. As the result of which, a clear result with

high profits.



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Advantages of Data Entry Outsourcing to Your Business

Data entry is used to convert data into information. It is entering data into the computer, which includes keyboard entry, scanning and voice recognition. The volume and critical importance of services required in the business and office activities world over has become ever increasing in this electronic age. It is one of the vital tasks for any business to become successful in the long run.

Data entry is the hub of any business and though it may appear to be easy to manage and handle, this involves many processes that need to be dealt systematically. It is one such features of any business that needs to be handled properly for making your business a successful venture. This services cover most business and professional activities, including:

Online Entry
Offline Entry
Image Entry
Document Entry
Book Entry
Insurance Claim Entry
Catalog entry
Text and Numeric entry
Invoice forms entry
Legal documents entry
Company reports entry
The data entry is a work very lengthened and tiring, thus the best option so that the companies take care of this is by the provisioning outsourcing. In today's competitive world, having all your business info and data updated on a regular basis will surely help you in being one step ahead of your competitor. In today's market, data entry solutions for different types of businesses are available at very competitive prices. An increasing number of companies are turning to outsourcing services.

Advantages of Data Entry Outsourcing:

It helps you to focus on core business
It reduces capital cost of infrastructure
Competitive pricing which are as low as 60%
Remove management headaches
Improves employee satisfaction with higher value addition jobs
Use latest standard and new technology
Quick turnaround time and strong quality
Make best use of competitive resources available worldwide
High speed and low cost communication
Line data processing possible from any location
Data entry services provided by outsourcing companies offer various services under this. So it does not matter what type of services you require, everything will be taken care of by these outsourcing service providing companies. Boost up your business by outsourcing work. If you are looking for specialists in data entry work then outsourcing to us will definitely meet your needs.



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Data Entry - 5 Types of Outsourcing Data Entry

Each organization requires accurate information to stay ahead from their competitors. To get various advantages of accurate information, you must have reliable data entry service. Through reliable typing company, you

will get not only accuracy but also data security. Data typing services include data entry, data processing, data conversion, data capture, data maintenance, image scanning and html coding.

There are numbers of typing entry types that are useful to various business organizations. Here are some common types such as online typing entry, offline typing, automatic and manual typing service. Requirements

differ as industry change. Here are some examples for that:

• for legal firms - legal document entry

• for organization related to science - scientific information entry

• for educational organization - mathematical information entry, book entry

• for medical institute - insurance claim entry, medical information typing

• for government - latter typing service, card entry, document typing, etc.

If you do not find reliable typing company for typing task, it is worth less to outsource. There are various advantages of outsourcing your typing requirement to reliable source.

You can easily eliminate the risk of data theft. In general, Data theft is high when companies are having in-house typing service. By outsourcing to reliable typing company, you can manage the business effectively.

Reliable data entry service can boost your business growth. If the information is digitally available, your executive can access the important information in seconds and take related decisions. This way, you can grab

important opportunity and grow the business.

If you outsource, you will surely get cost benefit. But before you outsource, please do proper research for leading and reliable typing company. Otherwise, this will cost you in terms of reputation.

As your employees are not engaged in tedious and time consuming typing task, they can give more output in core activity. You will surely see the increase in efficiency and productivity of your staff by outsourcing your

data editing or typing requirements.

Higher satisfaction level of customer makes company reliable. Companies only can get high satisfaction through great quality, quick services and reasonable pricing. Though reliable data entry, you will get accurate

information in very less time. So choose wisely, reliable data typing services surly help in boosting your efficiency and profitability



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WHY IT’S IMPORTANT TO OUTSOURCE YOUR MEDICAL RECORDS DATA ENTRY SERVICES TO PROFESSIONALS?

Healthcare industry across the globe is going through a transformation phase with increased emphasis on improving the quality of care being delivered. The introduction of electronic medical records (EMR) has contributed tremendously in the digitization of the healthcare sector. These days it has become increasingly necessary for healthcare data to be digitized, since it facilitates easy search, access and retrieval of crucial medical information, etc.

However, regardless of the all the benefits digitization of medical records has, the process of digitizing large volumes of healthcare data into electronic format can be very tedious and time consuming. All sensitive and crucial data about patient, insurance, claims, diagnosis, etc., need to be clearly documented, which requires great amount of accuracy and precision.
Hence, outsourcing medical records data entry services to SunTec provides a hassle free, reliable and accurate solution for all your healthcare data digitization requirements. We adhere to HIPAA guidelines and are ISO 9001 and ISO 27001 certified. We perform your outsourced data entry tasks focusing on speed, accuracy and quality, enabling you to focus on your core business activities.

Benefits of Outsourcing Services

Digitization of highly complex and sensitive healthcare information facilitates easy search, access and retrieval
Fast processing of medical records
Better maintenance of medical records
Quality medical data entry in quick turnaround time
More time to focus on core competencies
Adherence to HIPAA guidelines
Stringent quality control
Removal of monotonous and time consuming tasks of processing and retrieving physical data
Experienced and highly skilled professionals who can digitize healthcare records with nearly 100 percent accuracy
Dedicated and experienced project manager to supervise each stage as well as every assignment
24/7 support and assistance
SunTec offers a gamut of medical records data entry services such as:-
Data Entry Services
Capturing relevant data from handwritten, printed, as well as audio, video and other digital sources. It includes entering the information so collected, in editable format accurately so as to facilitate easy search and retrieval.
Data Processing services
Processing all medical bills and claims correctly, while ensuring confidentiality and safety of sensitive patient health information.
Data Management Services
Data cleansing, de-duplication and enrichment processes are implemented to ensure quality database. Digitized information is verified, validated and standardized to ensure that data is consistent and free from errors. Medical records are kept updated at all times.
SunTec offers a wide range of data entry and data processing services for a wide range of records, such as:-
Patient medical records
Hospital records
Medical insurance claim forms
Image records data entry
Handwritten documents data entry
Medical prescription records
Test or lab records
Surgical encounter records
Patient information such as appointments, insurance details, billing, etc.
Other medical documents and files


It is true that the world is going digital and healthcare is not an exception anymore. The introduction of EMR into healthcare sector has brought about a revolution of sort in medical documentation process. However, digitization of medical records has also increased the need to outsource medical data entry, management and processing services requirements to professionals.


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