Measuring Returns on Big Data Investments
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Measuring Returns on Big Data Investments
Investments in big data are helping increase revenue and reduce costs, despite significant cultural and tactical challenges. -
Big Data's Impact on Revenue
Over a quarter (27%) said the impact of big data investments exceeded 3% of revenues, while 38% pegged the value of those investments at 1% to 3% of revenues. -
Big Data's Impact on Costs
Just over one in five (21%) said big data has a cost impact of more than 3%, while 39% reported an impact of 1% to 3%. -
Level of Focus on Big Data
More than a third (38%) indicated that big data is a major focus of their senior leadership teams, while 21% said big data was the most important way for their organizations to gain a competitive advantage. -
Relative Big Data Analytics Strength
16% claimed to be best-of-breed in their industry while more than a third (37%) said they were above-par. CIOs and CTOs tended to rate their capabilities higher than other IT professionals. -
Biggest Areas of Big Data Investments
The top four areas of investment are storage, data acquisition, talent and analytics. -
Type of Data Being Used
More than half (56%) are using location-based data, while 48% are using standard text data and another 43% are using social media data. -
Biggest Cultural Challenges
Just over half (51%) cited adapting to and then refining their big data strategy, followed by 47% that cited learning to use big data to improve the customer experience. -
Additional Cultural Challenges
Other challenges included fostering a culture that rewards the use of data and valuing experimentation and creativity, which were both cited by 43% of respondents. Only 10% said there were no significant cultural challenges. -
Biggest Tactical Challenges
Nearly half (48%) pointed to making decisions based on data collected as the key tactical challenges, followed by developing a corporate strategy and focusing resources, both at 43%. -
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Much work remains to be done to make big data operational inside most organizations, but they have made a fair amount of progress, according to a recent study, which was derived from a questionnaire designed by Forbes Insights and sponsored by Teradata in partnership with McKinsey. The survey of 316 senior data and IT decision-makers shows that roughly a quarter of decision-makers are starting to see significant returns on their big data investments in the form of increased revenues and reduced costs. While senior managers continue to view big data as a way to achieve significant competitive advantage, more than half said significant cultural and tactical issues remain. Storage, data acquisition, acquiring talent and the analytics applications themselves are the primary areas consuming most of the big data budgets. For solution providers with big data expertise, that bodes well because it creates an opportunity to craft solutions made up of both products and ongoing managed services expertise. How long this focus on big data will continue is anybody's guess, but it would appear that investments in big data solutions should benefit the channel for years to come. Take a look at key findings from the research.
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