Connecting Information Dots take Strategy, Methodology and Talent.
Information is one of the most valuable assets in
organizations today, how to manage them well is at every IT leader’s agenda.
First of all, the relevant concept clarification may help connect the
information dots more seamlessly.
Information
Architecture: There are three focus
areas of an Information Architecture (IA), with different IAs specializing
in different areas.
1) The Front-End IA is most frequently seen, with the closest relationship to UX.
2) The Back-End IA deals with the structuring and relationship of information as data so that the information can be presented in a useful manner to the user.
1) The Front-End IA is most frequently seen, with the closest relationship to UX.
2) The Back-End IA deals with the structuring and relationship of information as data so that the information can be presented in a useful manner to the user.
3) The Middle IA deals with the infrastructure of getting
information as data from the back to the front and deals a great deal with
transformations, styles, and system to system interfaces (as opposed to GUIs).
All these three fields compliment each other and overlap
from time-to-time depending on the work structure in an organization, but they
do differ in some aspects. Information architecture is structural design
technique of the various shared environments, more at the user facing level,
for how the information could be organized to make it searchable, find-able and
usable by the user, and how these data interrelationships make sense to the
user, .
Data modeling is a technique to structure the data and manage it at the source, it’s when you architect and organize the data in useful tables or data repositories which are easier to maintain, more at the system level. If you need to generate a report about the user dynamics and other attributes, these organized tables really do the trick to provide insight
Data modeling is a technique to structure the data and manage it at the source, it’s when you architect and organize the data in useful tables or data repositories which are easier to maintain, more at the system level. If you need to generate a report about the user dynamics and other attributes, these organized tables really do the trick to provide insight
Business analysis
relies heavily on the business requirements that change overtime to achieve
strategic goals, with scoping, prioritizing and preparing of business cases
etc. Something new is introduced in an organization that is estimated to
generate good revenue but needs change in the way the data is structured or how
the user gets the information, a business analyst would document this change
with enough detail that would allow the team to move ahead in the
implementation.There’re many data related tasks Information Architects and Business Analysts need to work closely to accomplish, for example, in order to build enterprise’s Q & A information portals, they need to catalog the questions--or the categories of questions--an end user might ask of the data. Which questions do the end user's boss or management feel are most important? Which questions does the end user think are most important? How might the general questions connect to the particular questions? What would a conceptual map of the question set look like?
Through connecting these dots smoothly, information
management can drive transformation from data to information, from information
to knowledge, from knowledge to insight, and from insight to wisdom.
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