Every organization wants to leverage the power of Big Data today. No surprises there. By extension, data scientists are in great demand.
Remember the simpler times when marketing was all about ATL, BTL, and TTL? These acronyms mean above the line and below the line, through the line respectively. This basically means when you had to do the marketing of the products on big billboards, television, newspaper, and via flyers.
Problem: HBR’s (Harvard Business Review) study of the top 100 IT companies indicates a majority of IT services companies are facing two major challenges:
“To err is human” we’ve all heard this phrase which by all means stands to be true!
We have started using technology more than ever in an attempt to increase the effectiveness of our strategies and the productivity of our businesses. Digital solutions, software tools, and tech gimmicks, in general, allow us to boost our communication, track our performance, and make changes as we move forward with our business decisions. As years go by, hiring is becoming more intertwined with digital and tech precisely so that businesses can make smarter hiring decisions, stay within the bounds of the law, and make their employees happy.
Today, there is a lot of buzz around the word "Candidate Experience". It does not simply begin the moment the candidate walks into the company premises rather it’s the very moment they read the job posting.
If Elon Musk decided to enter the open job market for CEO, how long do you think it will take for companies to hire him? Think of all your candidates as Elon Musk and your dream to create a better candidate experience will already come true. According to a candidate experience survey by different reliable companies here are a few metrics-
If you are looking for SAP MM interview questions, here is the list of most important questions that you must ask in interviews. Make yourself ready with this comprehensive list of interview questions.
Data Science interview questions can be divided into 3 categories technical data science interview questions, statistical data scientist interview questions and face to face interview questions. Technical data science interview questions are based on data science programming languages like Python, R, tableau etc. Statistical data science interview questions are based on math, machine learning, probability etc. and face to face interview usually have data science interview questions related to past experience or projects.
A passionate software tester needs to possess excellent experience in software testing as well as logical and critical thinking skills. I have compiled some good questions that can be asked in the interview.
