Why Goodwill Is Vital to Success

When I originally got the idea for this blog entry, I was thinking in terms of success in business, as a result of three lackluster experiences I recently had with customer service at three different businesses. Then, when I sat down to write about it, I soon realized that goodwill is vital to all areas of life.

Goodwill is similar to integrity in that in takes time to develop but can be lost in an instant. As my cousin says, “Goodwill is a byproduct of doing the right thing.” Webster’s dictionary defines goodwill as “a kindly feeling of approval and support: benevolent interest or concern.”

This definition makes clear that whether it is with your business associates, teammates, coaches, or bosses, or in your interpersonal relationships, without goodwill it is difficult to get beyond a surface level with any of them.

In today’s ultracompetitive world everything that gives you a leg up on the competition makes your success more likely. As successful businessman Marshall Field was fond of saying, “Goodwill is the only asset that competition cannot undersell or destroy.”

Each of the three companies from whom I experienced poor customer service developed varying degrees of goodwill – mostly negative – from me. The one that earned the most goodwill eventually offered me an acceptable solution and I am still doing business with them (though on a more cautious basis now).

One of the other two offered worthless suggestions, compounding my initial frustration. The last one had a website that failed repeatedly to send my complaints and was unresponsive to the ones that did go through. Needless to say, it would have taken a lot of goodwill to overcome these slights and I decided to close both of those accounts.

One of the quickest ways to earn goodwill is to exceed expectations. Here’s a recent example of a business that engendered massive amounts of goodwill from me. I ordered a supplement and a few weeks after receiving my order I received another package from them with a new bottle of what I had previously ordered and the following note enclosed:

“I want to take a moment to thank you for your recent purchase. As a token of our appreciation we sent you your next bottle free of charge. You will not be charged for this bottle and are not signed up to an auto-ship program of any kind. We just wanted to say a quick hello and thank you”

-Greg, Founder of Weyland Brain Nutrition

Not only did they send me my next bottle free of charge, they also enclosed a bottle of another product for me to try. I have since recommended them to several of my clients and am now a devoted customer.

The same phenomenon happens in our interpersonal relationships. When you go the extra mile for a co-worker, boss, friend, lover, coach or teammate, you engender goodwill and strengthen your bond with them. This in turn will lead to greater trust and loyalty, thus opening the door to greater possibilities for the relationship.

Most people want to stand out from the crowd and are frustrated when they don’t. I like to tell my clients that if you don’t like being stuck in the crowd, go the extra mile; it’s never crowded there. It’s a simple recipe for success that is often neglected by the masses and will also go a long way towards engendering plenty of goodwill from others.

You can follow Sam on Twitter @SuperTaoInc

Source by Sam Obitz

What Is Data Science?

Data science is a present-day technology world using a very common term. It is a multi-disciplinary entity that deals with data in a structured and unstructured manner. It uses scientific methods and mathematics to process data and to extract knowledge from it. It works on the same concept as Big Data and Data Mining. It requires powerful hardware along with an efficient algorithm and software programming to solve the data problems or to process the data for obtaining valuable knowledge from it.

The present information trends are providing us 80% of data in unstructured mannered while rest 20% structured in format for quick analyzing. The unstructured or semi-structured details require processing in order to make it useful for the present-day entrepreneur environment. Generally, this information or details are generated from the wide varieties of sources such as text files, financial logs, instruments and sensors and multimedia forms. Drawing meaningful and valuable insights from this information require advanced algorithms and tools. This Science is proposing a value proposition for this purpose and this is making it a valuable science for the present-day technological world.

How Data Science Drawing Insights from Data?

1. For example, present-day online sites are maintaining the huge volume of the details or information pertaining to their customer base. Now, the online store wants to propose product recommendations for each customer based on their past activity. The store got the entire information of the customers like past purchase history, products browsing the history, income, age and some more. Here, the science can be a great help by coming up with train models using the existing details and store could be able to recommend precise products to the customer base at the regular intervals. Processing information for this purpose is a complex activity, but the science can do wonders for this purpose.

2. Let us look into another technological breakthrough where this science can be a great help. The self-driving car is the best instance here. Live details or information from sensors, radars, lasers and cameras generally create the map of surroundings for self-driving cars. The car uses this information to decide where to be fast and where to be slow and when to overtake other vehicles. Data science uses advanced machine learning algorithm for this purpose. This is another best instance to convey more about the science how it helps in decision-making using available details or information.

3. Weather forecasting is another area where this science plays a vital role. Here, this science used for predictive analysis. Details or information or facts or figures collected from radars, ships, satellites, and aircraft used to analyze and build models for weather forecasting. The developed models using science help forecast weather and to predict accurately the occurrences of the natural calamities too. Without science, the data collected will be totally in vain.

Life Cycle of Data Science

• Capturing: The Science starts with the data acquisition, data entry, data extraction and signal reception.

• Processing: This science process the acquired data effectively using data mining, data clustering & classification, data modelling and data summary.

• Maintaining: The Science maintains the processed data using data warehousing, data cleansing, data staging, and data architecture.

• Communicating: This science communicates or serves data using data reporting, data visualization, business intelligence and decision-making models.

• Analyzing: This Science analyzes data using exploratory or confirmatory process, predictive analysis, regression, text mining and qualitative analysis.

Source by Ramana Rolla