[AISWorld] Question: What does intelligence mean in business intelligence?

Tue Jul 26 18:44:11 EDT 2016

Well, in the MIS field another origin can be the concept of EIS proposed
by Prof. John Rockart (1978) at MIT on the first highly user friendly
intensive systems used directly by top management where internal and
external core information in both structured or non-structured form was
reported. This EIS concept evolved later in the BI concept with the
availability of new IT technology (data warehouse, dashboards, and OLAP
mechanisms).

On:
> BI did not originally incorporate CI or AI but it does so to some extent
> now.

We agree on it! Data mining emerged in the AI discipline in the 70s and
80s with induction data knowledge discovery mechanisms, so ... 40 years
later are incorporated in modern BI plus other additional mechanisms.

References:

Rockart, J. F. (1978). Chief executives define their own data needs.
Harvard business review, 57(2), 81-93.

Quinlan, J. R. (1979). Discovering rules by induction from large
collections of examples (pp. 168-201). Expert systems in the micro
electronic age. Edinburgh University Press.

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Manuel Mora, EngD.
Full Professor and Researcher Level C
ACM Senior Member / SNI Level I
Department of Information Systems
Autonomous University of Aguascalientes
Ave. Universidad 940
Aguascalientes, AGS
Mexico, 20131
http://x3620a-labdc.uaa.mx:8080/web/drmora
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On Tue, July 26, 2016 12:00 pm, Shana Rachel Ponelis wrote:
> Interesting discussion. My contribution on the ABC of I
>
>
>
> The NATO definition of intelligence as artifact applies more to the
> intelligence traditionally involved in 'competitive intelligence' (CI),
> which is usually in the field of Information Science/Studies, rather than
> BI. Although the purpose of both BI and CI is to inform and support
> decision-making in an organization, there has been discussion and
> disagreement on whether CI is a subset of BI or separate but
> complementary with regard to "the environment and the capabilities and
> intentions of actors." It depends on the scope of one's view of BI
> (internal & external information, or just internal information). There is
> also an inherent difference in terms of the nature of information/data
> and how it is collected and produced: CI is mostly unstructured with some
> semi-structured and structured data and thus traditionally collected and
> produced by humans supported by technology vs. BI mostly structured data
> that is collected and produced by technology. BI also tended to be more
> backward-looking with historical data (query and reporting, monitoring,
> some analytics with modeling using OLAP and CI forward-looking to
> anticipate or predict the future with scenarios, etc.
>
>
>
> While BI was originally mostly structured and internal data/information
> that included data mining in more advanced implementations, it has since
> expanded to incorporate predictive analytics, text mining and AI
> technology under the umbrella of advanced analytics to incorporate
> semi-structured and even unstructured data from internal and external
> sources, thus starting to incorporate some traditional CI functionality.
> BI did not originally incorporate CI or AI but it does so to some extent
> now.
>
>
>
> I wrote about this in an article: Ponelis, S. R. & Britz, J. J. (2012). A
> descriptive framework of business intelligence derived from definitions
> by academics, practitioners and vendors.  Mousaion: South African Journal
> for Information Studies, 30(1), 103-119.
>
>
>
> <http://orcid.org/0000-0001-8243-2162>
> <http://orcid.org/0000-0001-8243-2162>[1463067478559_PastedImage]
> Shana R. Ponelis, Ph.D
> Assistant Professor, School of Information Studies, University of
> Wisconsin-Milwaukee
> President-Elect, Midwest Association for Information Systems (MWAIS)
> Editorial Board member, Information Technology for Development,
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> www.researchgate.net/profile/Shana_Ponelis<http://www.researchgate.net/pr
> ofile/Shana_Ponelis> ||ORCID:
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>
>
>
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>