INFOGRAPHIC: Making #BigData Work
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While nearly 60% of executives expect big data to disrupt their industries, only 13% have full-scale big data initiatives and only 8% consider their initiatives very successful. Most organizations lack a well-defined roadmap with milestones and timelines for their initiatives, and 55% have scattered resources or a decentralized model. Additionally, 74% do not have well-defined criteria for selecting use-cases and 67% lack defined success metrics. In contrast, those organizations with a well-defined roadmap, criteria for selecting use-cases, and defined success metrics are tasting more success with their big data initiatives.
INFOGRAPHIC: Making #BigData Work
- 1. Making Big Data Work: It pays to be Systematic Nearly 60% of executives agree that Big Data will disrupt their industry in the next three years However, only 13%of organizations have their initiatives in full-scale production of initiatives are “successful”, 27% Only And 8% are “very successful” Most initiatives are yet to take off, despite the buzz… Most organizations are not doing it right… No planned approach do not have a well-defined roadmap, with milestones and timelines, in place 55% either have scattered pockets of resources or follow a decentralized model for analytics initiatives 47% No well-defined criteria do not have well-defined criteria to identify, qualify and select use-cases do not have well-defined success criteria (KPIs) to measure the success of their Big Data initiatives 74% 67% $ Those that are, are tasting success… Well-defined roadmap 51% 22% Yes No Criteria for use-case selection 53% 29% Yes No Well-defined success criteria 51% 28% Yes No 53% Scattered Pockets Ad-hoc, isolated analytics teams 43% 27% 20% Decentralized Separate analytics teams for separate departments Centralized Central team acting as a competence center for Big Data, and coordinating initiatives for all business units Business Unit Analytics team as a distinct profit-making division Comparison of Big Data initiative success rates Lack of a defined organizational structure > > Source : Capgemini Consulting, “Big Data Survey”, November 2014