A decade on, big data challenges remain overwhelming for most organizations.
Since ‘big data’ was formally defined and called the next game-changer in 2001, investments in big data solutions
have become nearly universal.
However, only half of companies can boast that their decision-making is driven by data, according to a recent survey
from Capgemini Research Institute. Fewer yet, 43%, say that they have been able to monetize their data through products and services.
So far, big data has fulfilled its big promise only for a fraction of adopters — data masters.
They are reporting a 70% higher revenue per employee, 22% higher profitability, and the benefits sought after by the rest of the cohort, such as cost cuts, operational improvements, and customer engagement.
What are the big data roadblocks that hold back others from extracting impactful insights from tons and tons of information they’ve been collecting so diligently?
We will first back up to look at what big data is anyway. Then we will try to figure out what challenges with big data make data analytics and data science complicated. Vitali Likhadzed
, ITRex CEO with more than 20 years of experience in the technology sector, will join in to share his insights!