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2022 IT Leaders in the Data Fusion/Analytics Domain for Risk Assessment, Decision Making and Investigations
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Self-developing a solution for data fusion and analytics is more costly than outsourcing to a third party
Organizations that have developed technology in-house for data fusion and analytics report a forecasted
spend of more than $2.55 million in 2022, compared to just $1.96M for those who have outsourced data
fusion to a third-party vendor. While many companies look to save Operational Expenditure (OpEx) by
building in-house, the truth is that home-grown solutions don’t have the flexibility to meet changing
demands, and therefore become costlier to maintain and develop in the long run.
The right third-party solution should play nicely with System Integrators
When thinking about choosing a third-party solution, almost two-thirds (64%) of CIOs prefer working with
System Integrators when it comes to data fusion and analytics, with the top reasons for this saving
certification and training for in-house staff, (56%) and 55% saying it allows internal staff to focus on the
business’ own core competencies. 46% also believe that working with an external System Integrator provides
them greater flexibility to scale up and down. There are clearly great benefits to gain from a holistic
solution.