We live in the age of big data. It’s a fast-moving, ever-growing ocean of information that can easily overwhelm those who are leading research projects. How do you gain access to the highest quality of data? And once you have it, what will you do with it?

How to present data analytics effectively has been a popular topic during Survature user workshops. Typically the question goes something like, “We’ve got so many findings here, any suggestion on how to present them?” While users and their specific cases for presenting results may vary, there are some things everyone should watch out for and consider when presenting your survey findings. Here are four things we have found that can make or break your presentation.

Data jobs are “the sexiest jobs this century”. Data jobs are also among the hardest to positions to fill. The qualifications are so high that candidates have the leverage to “name their own price.”

Hard to believe the holiday season is already upon us. Time once again to race towards a strong Q4 finish and prepare for a new year.

Here at Survature we run this race but are also uniquely positioned to watch others do the same. As a founder of a software startup, part of my job (and joy) entails talking to users and helping them to envision and manage their feedback data cycle. Through that process, many users have become friends of ours. A recent conversation really resonated with me. The reason—my friend leads innovation efforts at a multi-billion dollar company, his work makes a big impact on their global business, he is respected throughout the company, just architected a $100M partnership through a business model innovation, yet he feels “innovation” has become a bad word.