Friday, March 7, 2014
The recent Facebook $19 billion acquisition of the WhatsApp messaging service has stunned the tech world. It's nothing new that many businesses are after big data and creating engaging, personalized, yet trustworthy user experiences. The 450 million and growing users of WhatsApp rises challenging questions to what Facebook will do to monetize all of this new acquired data. In 2013 we learned that big data is a trending topic and buzzword, but nobody has quite figured out the analysis part of big data. The mystery of big data lies with many businesses that are struggling to draw actionable insights and monetize the information. I recently had an opportunity to ask Survey Analytics President Vivek Bhaskaran his thoughts on WhatsApp and his vision on how businesses may have upcoming opportunities to effectively use this channel for consumer engagement as it further evolves. Read the full Q&A with Vivek below.
Thursday, March 6, 2014
Q1: Tell me little bit about your background – where are you from? Education?
Anup: My ethnicity is Indian but I am Canadian by citizenship – I lived there for 13 years. Before that I went to school in Moscow, Russia at Moscow Power Engineering Institute (MPEI). After college I worked in at Unilever on the Plantation Workforce Management in Malaysia for a year. Unilever has one of the largest palm oil plantation in Malaysia and a large external workforce. This was the opener for me into the IT space. After that I moved to Canada with my Mom. There I looked for a job a found my first startup, Camilion. I worked in a basement for about a year before they moved into a real office. Then I worked at another startup, dealing with all the major insurance companies (AIG, AXA, Lyons) and did risk management and policy management. It was an exhausting job with a lot of travel required, but it was exciting. The work culture was very stressful - they expect you to work hard. I was dealing with a lot of "what if" scenarios.
Monday, March 3, 2014
In today's Feature Spotlight we are going to highlight on the text tagging tool in Survey Analytics. This can be used to analyze open-ended text responses to help categorize and quantify responses based on predetermined labels that you define. Also known as text analysis clustering or text mining - this feature can quickly automate text tagging options by setting up your own keywords or tags. Instead of having to go and manually tag options in your open-ended text responses, we will do it for you! This saves time and improves efficiency while analyzing open-ended text responses, especially if you are dealing with a larger number of open-text responses.