How To Measure The Efficiency Of Your Team

Is measuring productivity same as measuring efficiency? No, not really.

First of all let us differentiate being productive and being efficient: Being productive means you are successfully producing or achieving a desired result. Being efficient, on the other hand, means you are working in a well-organized and competent way, simultaneously using minimal time and resources. In team oriented environment, every member should be able to complete his or hers tasks before deadline, be aware of time and resource limitations, and strive towards the most efficient way to get things done. Read more

Advice for Someone Going Into Leadership Position for the First-time

What advice would you give to someone going into a leadership position for the first-time?

Always listen to the people you are leading, you will probably learn valuable lessons that will make you a better leader. And treat everyone with respect and kindness.

How do you ensure you continue to grow as a leader?

Always stay hungry, stay humble and don’t forget to have a sense of humour.

Characteristics That Every Human Resource Professional Should Possess

WHAT ARE SOME FACTORS THAT IMPACT YOUR DECISION TO CHOOSE HUMAN RESOURCE AS A CAREER?

I used to dream of becoming a professor. However, my perspective changed after completing my post graduate studies. I love being in groups and seeing immediate results.

HR can make a direct difference to employees and it is the HR’s responsibility to develop employees, providing benefits and insurance, plus shaping engagement culture that can change lives.

Another significant role of HR is to assist employees in developing their career through on job assignment, training, and coaching by others. Helping employees develop their skills to enhance their job knowledge, and performance will not only benefit the employee but the company as a whole. Such development opportunities will help an employee to grow both personally and professionally.

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Jobs and Opportunities Available in Big Data

What do you think about the term Big Data?

Today Big Data is frequently used in many different ways. To some Big data means a big table of data e.g client information, and to others it means data captured by social network e.g. Twitter or Facebook.

Big Data constantly evolve in parable to technology development. When we first spoke about Big Data many years ago, data size is just some Gigabytes but now, we are already utilizing Terabyte. Up next will be Petabyte.

Big Data needs to fulfill these conditions having, volume, variety and velocity. Some theorist mentioned five conditions conditions, volume, velocity, variety, veracity and value with some adding Variety and Visualization into the mix.

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What are some factors that impact your decision to choose marketing as a career?

What are some factors that impact your decision to choose marketing as a career?

I founded my copywriting business firstly as a sole proprietorship in 2003 and incorporated it in 2005. At this stage I just wanted to be able to work from home and look after my two toddlers, and a home computer and access to the Internet allowed me to do that. I didn’t really envision running a business at this point.

I recognised a need for copywriters in Singapore, which were lacking at the time and knew this was the ideal niche for me with my strength in English as a former English teacher and my love for writing.

I realised that a lot of design agencies in Singapore did not employ in-house copywriters so I phoned around and offered my services as an outsourced copywriter. Before long I had too many projects and ended up setting up a commercial office and hiring staff and things grew organically from there.

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What are the job opportunities / roles available in the area of Big Data?

What are the job opportunities / roles available in the area of Big Data?

The roles are very fluid. Just a few year ago everything was about capturing, storing and processing data. Now this is largely a solved problem, and these functions will be automated and outsourced to generalized products. The growth is in data analysis and machine learning. I expect a rise of domain specific roles, like “marketing data scientist,” “UI/UX data scientist,” “sales data scientist,” etc.

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