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Analytics is considered a high-end approach for data analysis requiring expensive software packages and PhDs in Mathematics or Statistics. That has been the primary reason behind limited adoption of analytics in an enterprise. Only a few well understood and specialized areas make use of analytics like Risk and CRM. This book attempts to demystify the access, availability and application of analytics and breaks its implementation down to repeatable and manageable steps for mainstream project and IT managers so its adoption can be widespread across all functions of an organization. Implementing Analytics also explains the toolsets available for smaller scale projects and suggests numerous applications where analytics projects can deliver value. The sampling of analytics application spans numerous industries providing ideas to professionals in all established industry verticals. .Shows readers how existing technology within an enterprise can be used to build analytics solutions . Helps readers formalize analytics projects from staffing, technology and implementation perspectives . Simplifies the understanding of analytics from a technical and functional perspective