How Data Projects Drive Revenue Goals
How Data Projects Drive Revenue Goals
By Dennis McCafferty
Mass Adoption
55% of surveyed IT managers said their organization has already implemented a big data project or projects, and 29% said they plan to do so within the next year.
Massive Metrics
80% of surveyed IT managers already involved with these projects said their tools are analyzing more than 2 petabytes of data.
Enterprisewide
44% of those managers said their big data projects are integrated throughout the company.
Co-Dependent
93% said there are interdependencies between their big data processes and other processes outside of big data.
Top Big Data Project Drivers
Improving the customer experience: 60%, Gaining new customers: 54%, Growing top-line revenues: 46%, Entering new markets: 42%, Keeping up with the competition: 41%
Biggest Priorities for Big Data Projects
Scaling existing projects to address more data sources: 56%, Improving the security of current big data initiatives: 54%, Integrating individual projects throughout functions/departments: 48%
Wish List, Part I
57% of IT managers said their company needs more big data tech training for these projects to succeed, and 49% said they require new infrastructure, such as storage.
Wish List, Part II
47% said they need to hire more staff with required big data skills for these projects to succeed, and 45% said they’d like to have the right management tools for the existing infrastructure.
Biggest Environmental Challenges for Big Data Projects
Complexity of managing such a large implementation: 48%, Complexity of managing so many different solutions: 43%, Costs: 40%, Difficulty in reintegrating analysis: 36%, Lack of visibility into information and processes: 31%
Essential Solutions
55% of IT managers already involved with big data initiatives said an alert management capability would enhance these projects, and 43% said file contention tools would.
