Managed Analytics is the end to end business analytical solution from the collection, measurement, and analysis of data gathered from various sources to provide better insights to the enterprise.Oftentimes enterprise faces a lot of challenges in terms of handling high volume data, building the right pool of talented teams which could be complex, costly and time-consuming. Managed analytics services will provide you a perfect mix of skill sets, tools, expertise, and experience. Managed analytics services also help companies move from CapEx to a predictable Opex cost model.

Predictability makes it easy for business users to justify business cases, and decision-makers approve managed analytic budgets. As services become more results-oriented, costs can be attributed to measured business value.

Over time, companies have introduced a series of business intelligence, analytics, and self-reporting tools that are often motivated by company-level considerations.

However, in due course of time, several unique challenges have made their presence felt, making the need for a qualified & proven arm of Analytics professionals, namely:

Departmental silos that put enterprise-wide views at risk and result in IT assets across the enterprise being leveraged only in small proportions
Low Business and IT collaboration, which makes delivering change requests for the BI (Business Intelligence, Data Warehouse) applications within SLA limits challenging
Organizational dependency on a few critical people for application knowledge, rendering the delivery of mega-projects that beat expectations, a herculean task
Time-intensive migration of platforms for consolidation or upgradation, for even a simple rationalized subset of reports

Why choose cloudaeon for Managed Analytics Services?
No upfront analytics investments in time and resources.
The reduced total cost of ownership.
Faster and simpler data access and analysis.
Easy Management, error-free and quick analysis
Accelerated and Accurate Business Insights
Predictable Business Outcomes
Leverage Big Data Technologies on Cloud
Engagement Model:
Assessment to understand business flow and processes, key metrics and expected outcomes.
Proof of Concept -delivering pilot projects and building infrastructure
Solutions implementation – design deployment roadmap. project solution implementation.
Support and maintenance

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