Big Data and Analytics: What to expect in 2014

Last year was a great one for technology professionals, consultants and practitioners working in the area of Big Data and Analytics. And 2014 promises to be even better. Given below are three main reasons why 2014 will be a spectacular year for those of us in Big Data and Analytics:

1) Investments in very large Big Data projects:

Many of the large and medium-sized enterprises ‘experimented’ with Big Data last year by undertaking ‘Pilot’ projects to demonstrate business value. Well, they are now ready to take next major step in their Big Data journey by undertaking major projects and are planning to invest substantial amount of money on Big data and Analytics initiatives in the year 2014

2) Maturing of Big Data tools and technology:

Another reason CIOs/CTOs of large and medium-sized enterprises are planning to make substantial investment on Big Data and Analytics initiatives in 2014 is ‘maturing’ of Big Data and Analytics tools and technology. This is the result of large-scale investments by venture capital firms in this area during last two years.

3) Rise of Industry specific platform based solution for Big Data and Analytics:

Another trend that is gaining traction is industry or vertical specific solution to leverage Big Data and Analytics. In no industry this trend is more evident than in Health Care and Life Sciences industry/vertical. I expect this trend to catch on in all other industries too, especially Banking/Financial Services, Insurance and Retail. And thanks to availability of industry specific platform based solutions,  large and medium-sized enterprises will be able to leverage Big Data and Analytics without making heavy upfront investments.

What do you think? Do you agree that 2014 will be spectacular year for Big Data and Analytics professionals? Please do share your opinion or respond on Twitter, my ID is @HKotadia.


Please share your thoughts


  • Gabe

    Thanks for your post.The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. More at