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The article is about how to bridge the gap between creation of analytics(analytics is data based decisions) and consumption of the analysis and numbers.
Please refer to http://www.infocommindustryforum.com/downloads/Jeanne%20Harris.pdf
as a starting point or analyticsatwork by Tom Davenport
Some companies have transitioned from using analytics in a reactive mode to deploying it as a strategic investment by building analytical capability across people process and technology.
– NEED content on people and process.
There are a few ways to do the same.Through People – where you were taking gut based decisions and then mature towards analytics use where you can instituionalize analytics(Need more details above on how and why,etc).Sponsorship and high level executive endorsement is one of the key critical success factors for institutionalizing analytics.
Process – No processes existed then it moved to narrow focus towards data driven decisions to co-ordinated analytical activities to integrated analytics and then towards institutionalizing analytics.
(Need more details above)
Example:
There are different models for institutionalizing – centralized, decentralized and federated.Centralized is
team of analytical experts selects projects and interacts with business leads to execute.
Decentralized is Analytics experts reside exclusively within functional areas and manage projects
Federated is
An array of analytics experts operate primarily within functional areas, but are unified under a central authority
Benefits of federated model
Benefits:
Governance council facilitates projects that are aligned with overall company objectives
Moves analytics from silos to a central function
Ownership and involvement with the analytics project is also ensured
Cross-pollination of analytical techniques & knowledge
Limitations:
Decision making can take a longer time when compared to the other two models
(DO not know if the above model fits for the people part or the process part or both.
I DO NOT need anything on technology.
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