Big Data Innovators and Best Practices

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Characteristics of the Big Data Innovators

The top performing Big Data and analytics organizations were identified from the EMEA study to demonstrate best practice. These top performers are referred to as the Big Data Innovators. In summary, here are the four characteristics of those organizations:

1. Big Data Innovators are more likely to have an enterprise budget in place

With ad-hoc, unbudgeted funds reallocated from other sources With business unit level budget set across several projects With annual enterprise wide budget With annual enterprise wide budget supplemented with ad hocfunding for special projects Big Data Innovators Others With project by project budgets as individual opportunities 0% 50% 5% 10% 15% 20% 25% 30% 35% 40% 45% 3 months or less 3 to 6 months 6 to 12 months over 12 months undetermined Big Data Innovators Others 10% 8% 25% 22% 32% 12% 10% 28% 15% 38%
Source: IDC Big Data End-User Survey for SAP and Intel 2015 , n=978

38% of Big Data Innovators have an annual enterprisewide budget supplemented with ad hoc funding for Big Data and analytics projects.

2. Big Data Innovators have shorter time to ROI

Q: What is the average time to ROI of a typical Big Data project deployment?
With ad-hoc, unbudgeted funds reallocated from other sources With business unit level budget set across several projects With annual enterprise wide budget With annual enterprise wide budget supplemented with ad hocfunding for special projects Big Data Innovators Others With project by project budgets as individual opportunities 0% 50% 5% 10% 15% 20% 25% 30% 35% 40% 45% 3 months or less 3 to 6 months 6 to 12 months over 12 months undetermined Big Data Innovators Others 13% 45% 36% 3% 3% 5% 26% 39% 21% 10% 10% 8% 25% 22% 32% 12% 10% 28% 15% 38%
Source: IDC Big Data End-User Survey for SAP and Intel 2015 , n=978

58% of Big Data Innovators deliver ROI for a typical Big Data project deployment in less than six months.

3. Big Data Innovators have higher adoption levels of new data management technologies and predictive analytics

Others Big Data Innovators 10% 20% 30% 40% 50% 60% 70% 0% 63% 42%
Source: IDC Big Data End-User Survey for SAP and Intel 2015 , n=978

63% of Big Data Innovators use advanced and predictive analytics technologies as part of their Big Data strategy.

4. Big Data Innovators show higher adoption levels of in-memory databases

Others Big Data Innovators 10% 20% 30% 40% 50% 60% 70% 0% 40% 33%
Source: IDC Big Data End-User Survey for SAP and Intel 2015 , n=978

Big Data platforms need to integrate a wide range of data types, and the way to manage the different data types is to store each in the right data management system.