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Top 5 MLM Companies – MLM’s Industry Leaders

In this article we take a quick look at the network marketing industry heavyweight contenders. We review the features, advantages and disadvantages of the top 5 MLM companies based on their popularity. The measure used to determine the most popular is simply Internet search traffic volume. Although popularity may not necessarily be the best reason for any person to join, we thought it would be useful to know a little about these companies that are attracting the most attention in the online world.

The actual popularity of various network marketing companies is calculated by Mark D Worthan’s Best-MLM-Opportunities.com which uses Google search data. His rankings are based on Google Trends, which is a service from Google Labs that allows you to compare the number of searches for various keywords across time. The service can be used to determine the relative number of searches for various MLM companies. Here are the results from current data, along with a short overview of each company:

1. Amway – Amway began when its founders became distributors of Nutrilite vitamins in 1959. Amway is famous for “legitimizing” the network marketing industry in 1979, based on FTC’s ruling that the company did not qualify as a pyramid scheme. This was based on the finding that the Amway compensation system was based on product sales vs. recruiting payments. Amway reported sales of $8.4 billion in 2009. Amway North America was closed in the early 2000’s and most North American distributors became memebers of sister company Quixtar, but still continue to order Amway products. At that time, the average monthly earnings for “active” Independent Business Owners was disclosed to be $115. The main advantage of Amway is is broad name recognition in the industry. Its main disadvantage, as reported by many distributors, is its compensation plan which makes adequate earnings difficult for most IBOs.

2. Herbalife – Herbalife was founded in 1980 and achieved net sales if $2.3 billion in 2009. Over the years Herbalife has faced occasional legal challenges over the safety of its products, none of which has yet been upheld. The company reached settlement with the California Attorney General in 1985 for $850 million when charged with making inflated product claims. The company’s product formulations were changed to eliminate Ma Huang in 2002 when several states enacted laws to ban the use of ephedrine alkaloids. In 2007 a scientific study at the University Hospital of Bern Switzerland and Israeli hospitals found an association between consumption of Herbalife products and hepatitis. These items and other media and legal settlements seem to be the company’s main disadvantages.

3. Mary Kay – Mary Kay started in 1963 as a skin care and cosmetics products company, based initially on a tanner’s formulations. Worldwide revenues were $2.5 billion in 2009. Brand recognition is the main advantage of this company, which obviously appeals more to women than men. A significantly high annual turnover is experienced for both US (68.6%) and Canadian (85%) consultants. Earnings statistics reported for Canada were that of …

Data Science for a Better Future of Medical and Healthcare Industry

Today, technology is everything, every industry is now depending on technological advances to increase their revenue. However, the most basic reason why industries rely on technology is to keep market competition high and offer the best customer services. One such revolutionary stream which has taken almost every other industry by storm is data science for which one can find many quality certificates.

It is all about gathering data, pruning data and then understanding the data to find meaningful insights at the end of the data pipeline. All these insights are then used to create value to the company by increasing customer satisfaction, developing new products and making existing products and services more efficiently. One such field which is now extensively using large data is medicine and healthcare.

BIG DATA IN HEALTHCARE

By 2020, healthcare data will be exceeding 2,314 exabytes. What use is of all the intense data pile if not applied to understand the healthcare scenario better. In the past, all the medical records were stored as hard copies, but with big data emerging the records are collected, stored and interpreted via data science tools. Having structured medical data helps in better patient care and healthcare decision making.

There are three types of data that is grouped by healthcare units across the globe. They are:

  1. Electronic patient records.
  2. Clinical records made by doctors, nurses in the form of prescriptions, medical reports, laboratory notes, and medical insurance companies.
  3. And machine-generated data from social media, website traffic, news data, journals and machines showing vital signs.

DATA SCIENCE IN TRACKING PATIENT VITALS

It helps in tracking the vitality of all the patients who are plugged into different devices which keeps the track of all the vital signs like blood pressure, heart rate, respiratory rate etc. Using big data helps doctors in knowing any kind of vital changes in the patient's body quickly without a need to monitor them personally all the time.

DATA SCIENCE IN DATA SOLUTIONS

Medical and health care industry handles an intense amount of data on every day basis, which needs systematic collection, sorting, and systematic storing. It helps in handling the data so that doctors and medical practitioners can have easy access when in need.

DATA SCIENCE IN BUSINESS DEVELOPMENT

Almost every other hospital is part of corporate firms and groups, which is why there is a continuous need to earn revenue and make the hospitals a profitable ecosystem. It helps in creating business plans and new products which boost the business success rates.

DATA SCIENCE IN FRAUD DETECTION

Every industry is susceptible to forgery and human error, same with the medical industry. So, there can be faults like, mismanagement of data or like writing faulty prescriptions and false medical insurance claims. It can help solve these problems by cross-analyzing the data and alerting when precarious medical practices take place.

Considering all the above applications in the medical field and many other industries who use data science extensively, one can say today there is a huge need to …