Posts Tagged ‘BI Shared Services’

Why BI CoE: Struggling to justify ROI?

Current BI landscape is cluttered with too many tools and technologies. The plain vanilla BI deployments rarely produce desired results. This leaves IT teams to a mere data steward role rather being a potential business partner. Primary inhibiting factors are: exponential data growth, lack of best practices and leveraging prior experience. Organizations today need to…

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Tips for developing a BI roadmap

Every BI Manager must know that the 3 key expectations that any business group has from their BI infrastructure are data availability, data reliability and data completeness. Even if one of these is not fulfilled, the business will not be able to make the right decisions. Data Availability – Availability of relevant data when you…

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Data Scientist, Analytics Guru, or Math Geek?

Analytics Challenge — California physicians group Heritage Provider Network Inc. is offering $3 million to any person or firm who develops the best model to predict how many days a patient is likely to spend in the hospital in a year’s time. Contestants will receive “anonymized” insurance-claims data to create their models. The goal is…

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Executing a Business Intelligence Center of Excellence

Data Rich, Information Poor Data overload is becoming a huge challenge for businesses and a headache for decision makers.  Public and private sector corporations are drowning in data — from sales, transactions, pricing, supply chains, discounts, product, customer process, projects, RFID smart tags, tracking of shipments, as well as e-mail, Web traffic and social media. Enterprise software,…

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Business Intelligence Center of Excellence (BI CoE)

A good decision,  made in the absence of knowledge,  is merely a lucky one. The biggest change facing corporations is the explosion of data and tools. The opportunity is in helping different business units  and functions capture, analyze and manage all that data and disparate technology tools/platforms. The “Raw Data -> Aggregated Data ->  Contextual…

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