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Presentation IE2019 - Progressive Management Methodology for Real-Time Business Intellignece Decision Systems

Authors:
  • Algorithm Invest

Abstract

Business intelligence systems represent a significant trend today. Choosing the right project management methodology is an essential step for a successful business intelligence implementation. New aspects and perspectives are included in this process nowadays due to new requirements imposed by the real-time activities. The automated decision-making systems used in different activity domains and the low-latency responses required by different processes determine new specifications for the entire system. The response delay of each time chain component has become a design factor. Also, using automated decision-making systems, the human factor is excluded from an important part of the decision process. To manage the decision tree appropriately, the human and automated decisions units must also be included in the business intelligence system design. It was found that the results obtained after the implementation of a real-time decision system will conduct to new requirements for the business intelligence system itself and will produce new resources for a better and improved solution. This progressive implementation needs a suitable management methodology in order to permit evaluative adaptability for the entire system. This paper will present the Progressive Management Methodology especially designed for a successful Real-Time Business Intelligence Decision System implementation. The model permits the analysis, design, implementation, and improvement for the real-time components considering the time-delay as a design factor. Besides, the human and automated decision units will be included and analyzed in the decision tree together with the suitable control links between the two parts. The real-time components also contribute to the development of specific design methods in order to assure the fluency functionality for the entire system. Examples from a real-time business intelligence decision system of a capital investment company will be presented in order to reveal different aspects related to the time- chain, decision tree and the particularities of progressive modern implementation.
18th International Conference
on Informatics in Economy
30-31 May 2019
Bucharest, Romania
Progressive Management Methodology
for Real-Time Business Intellignece
Decision Systems
Cristian Păuna
Economic Informatics Doctoral School
Bucharest University of Economic Studies
Email: cristian.pauna@ie.ase.ro
Phone: +407.4003.0000
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
18th International Conference
on Informatics in Economy
30-31 May 2019
Bucharest, Romania
Progressive Management Methodology
for Real-Time Business Intellignece
Decision Systems
Cristian Păuna
Economic Informatics Doctoral School
Bucharest University of Economic Studies
Email: cristian.pauna@ie.ase.ro
Phone: +407.4003.0000
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
Progressive Management Methodology for
Real-Time Business Intellignece Decision Systems
This Paper presents:
The reality of 60% failure
of BIS project implementations
Progressive Management
Methodology (ProgressM)
to improve the failure factor
for real-time BIS projects
including automated
decisions software (BIDS),
A methodology tested since 14
years on real-time financial BIS
It was found:
ProgressM methodology works
for every BIS implementation
ProgressM can be used to
manage any large scale project
ProgressM is more than Agile
ProgressM avoids the failure
ProgressM controls and reduces
the project implementation time
ProgressM manages the global
progressive steps for any BIDS
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
ProgressM
progressive management methodology
Three basic principles:
1. Any action must be accompanied by
the necessary and sufficient resources
2. The progress in any activity comes from
small, multiple, complete and consecutive steps
3. Unplanned interactivity between components
must be followed by control keys and points
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
1. Any action must be accompanied by
the necessary and sufficient resources
because
the lack of resources is a real and significant failure factor
here, by resources it means:
appropiate technical resources,
adequate informational real-time data resources,
and sufficient financial and human resources.
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
2. The progress in any activity comes from
small, multiple, complete and consecutive steps
because
to gain a competitive advantage a BIS has to
integrate new, unique or individualized ideas
which implies unknown algorithms or solutions.
Any BIS component will be divided in
multiple, small, complete and consecutive steps,
and each step will be solved by individualised
methods or algorithms.
The components can be developped
in paralel using any known flexible methodology.
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
3. Unplanned interactivity between components
must be followed by control keys and points
In order to measure the progress of each step,
the methodology will insert key factors and
check points in the logical diagram of the BIS project.
These keys will be measured in real-time
to qualify the design and implementation process
even each step has its own solving methodology.
New technologies produce new requirements for BIS.
Once the new requirements are delivered and they can be
sustained by new resources also produced by the BIS itself,
new requirements for the BIS will be asked for the future.
This is called Progressive Management Methodology,
on short ProgressM.
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
The logical of ProgressM
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
The logical of ProgressM
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
ProgressM steps for BIDS
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
Conclusions
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
ProgressM is a reliable project management methodology
which can be used in order to manage large scale projects
including BIS with real-time automated decision systems.
ProgressM is succesfully appilied since 14 years on large BIS
ProgressM permits flexibility for each BIS software components
ProgressM integrates all components into a logical structure
ProgressM uses key factors and check points to control the project
ProgressM manages evolutive cycles for time scale BIS development
Thank you!
This paper was co-financed by Algorithm Invest company (algoinvest.biz)
Progressive Management Methodology
for Real-Time Business Intellignece
Decision Systems
Cristian Păuna
Economic Informatics Doctoral School
Bucharest University of Economic Studies
Email: cristian.pauna@ie.ase.ro
Phone: +407.4003.0000
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