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Data Digest: Long-Distance Agility, Predictive Analytics, and Data Policy

Keeping your enterprise trustworthy with the right data policy, keeping development agile with teams are far apart, and having a plan and purpose in mind with predictive analytics.

Writing the Right Data Policy
(Source: Forbes)

A data policy is not the top priority for many startup enterprises, but such a small thing helps quell the fears of consumers and helps make your enterprise trustworthy. This article provides pointers on coming up with the perfect data policy for you.


Keeping Agile While Far Apart
(Source: Information Age)

Agile as a design method has its advantages, yet trying to use that method with a large, geographically distributed team can be difficult. This article provides tips on the best ways to keep your development agile despite distance between teams.


Predictive Analytics Needs a Point
(Source: Tech Target)

The main purpose of predictive analytics is to anticipate what consumers want and then be able to give it to them. However, you cannot simply use analytics tools to collect and analyze data without an end goal in mind. A plan and a purpose must be behind any predictive analytics you want your enterprise to use.

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Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at

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