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A good market research is the first step to any successful business or industry. However, to start the process, certain basic steps must be fulfilled.
We generate digital data every time we tweet, search for a hotel on Travelocity, send an email, tap on a smartphone icon, walk into our badge-enabled offices, or drive through a tollbooth.
It really depends on the company and industry. Whether it is data science or any other role, they are pretty well defined in a big or midsize company where an employee happens to do a very specific job for a long period of time.
Customer journey mapping, the concept has the potential to provide companies with a rare ability to better understand their customer in regards to the user experience your brand offers and, therefore, stop problems before they start.
In this article, we will go through the role that a Data Scientist plays. There is a veil of mystery surrounding Data Science.
redictive Modeling is an essential part of Data Science. It is one of the final stages of data science where you are required to generate predictions based on the historical data.
With over 1.7 billion websites on the internet, it goes without saying that the competition to get eyeballs on your content is pretty stiff.
The best way to analyze your business competition is through competitive analysis.
Living in the digitalized world, it is extremely crucial for all B2B business to understand the contemporary methods of lead generation to stay on the winning tide of industry.
For about as long as people have been selling products, they’ve been thinking about where to find customers and how to reach them.
