The ability to speak this new language is a new organizational readiness factor: information literacy. Borrowing from language learning methods can help an organization on its “information as second language” (ISL) journey.
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Kõik mõtted: Douglas B. Laney
Infonomics vol 29
Who will be responsible for and involved in key EIM activities, and how will they be organized and managed?
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Infonomics vol 28
Defining effective information-related metrics is best achieved by tying action to metrics. Metrics for information-related programs and activities , and for information itself, require threshold and triggers, and must be actionable. They should adequately reflect the achievements of strategy milestones and toward the vision.
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Infonomics vol 27
Remember, a well-oiled supply chain process has the equal ability to handle make-to-stock and make-to-order requirements. Even the best data lake or DAA architecture isn’t going to be able to accommodate all information needs.
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Infonomics vol 26
Maybe this is just the nature of information we’ve come to accept: it flows, carrying its detritus along with it for the next department to deal with.
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Infonomics vol 25
Why create a library? His [French librarian Gabriel Naude 1627] answer suggests he believed to be no greater honor than collecting human knowledge and sharing it.
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Infonomics vol 24
Just as information’s non-depletability enables its extreme reuse, information’s non-rivalry characteristics enables its extreme repurposing.
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Infonomics vol 23
Individual records may lose relevance, accuracy, or timeliness, but not their existence or completeness.
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Infonomics vol 22
A supply chain is a system of activities and resources involved in moving a product or service from the point where it is manufactured to where it is consumed.
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Infonomics vol 21
Even though the term “supply chain” sounds like it focuses on the supplier, supply chains actually are designed with the customer in mind.
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Infonomics vol 20
Infonomics vol 19
If information were held with the same regard as other traditional assets, we wouln’dt see the epidemic of nonchalance and negligence in caring for it, enabling it, and leveraging it.
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Infonomics vol 18
But advanced analytics solutions, particularly data mining, machine learning, and predictive application, flourish with large datasets. The larger the dataset, the easier it is to uncover hidden subtle patterns and trends, and therefore, opportunities which are likely to evade the competition.
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Infonomics vol 17
How can we exploit the characteristics of Big Data? How can we use information to make better/faster decisions? What questions can we ask now that couldn’t be addressed earlier?
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Infonomics vol 16
The requisite BI tool/platform features of data aggregation, summarations, selection, slicing, drilling, and charting are tuned for presenting information interesting to users, but not necessarily information important to optimization business processes.
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