Development of BI systems: trends and movement towards ABI. View from the visualization side

Why are the BI systems we are used to changing? Where is their development heading, what technologies are being implemented now, how can analytics for business be improved? In this article, we will touch on these questions and try to answer what to expect from business intelligence systems in the near future.

Note from the partner of the MAI IT-center and the organizer of the master's program “ VR / AR & AI ” - PHYGITALISM .

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Fig. 1. Converting data to analytics in BI systems — .1. BI-

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Fig 2. For what tasks are BI systems implemented? — 2. BI-

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Fig 3. Advantages of BI systems — 3. BI-

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Fig. 4. Market size of BI systems — .4. BI-

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Fig 5. BI systems as part of the business — 5. BI-

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Fig 6. Effects of implementing BI systems for companies — 6. BI-

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Fig. 7. Interactivity of modern BI systems — .7. BI-

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Fig. 8. Difference between traditional and self-service BI systems — .8. self-service BI-

ABI-

BI- , , – Augmented Business Intelligence, Gartner.

Fig. 9. Evolution of analytics in BI systems and in Augmented Business Intelligence — .9. BI- Augmented Business Intelligence

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Fig. 10. The innovativeness of ABI systems — .10. ABI-

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Fig. 11. Differences between BI-system and ABI-system and its advantages — .11. BI- ABI-

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Fig. 12. Trends in the development of BI systems — .12. BI-

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DIKW: Data-Information-Knowledge-Wisdom.

Fig. 13. DIKW concept — .13. DIKW

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Fig. 14. Visual consumption of information — . 14.

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Fig. 15. DataViz Toolkit — .15. DataViz

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Fig. 16. Benefits of 3D visualization — .16. 3D-

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Fig. 17. An example of 3D data visualization on a map for data visualization in a project with Ingrad — .17. 3D Ingrad

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Fig. 18. An example of interactive BIM building models — .18. BIM-

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Data Storytelling

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Fig. 19. Focusing user attention on data with animation — . 19.

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Fig. 20. Data storytelling phenomenon — .20. data storytelling

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Fig. 21. Unique features and roadmap of the developed cross-platform BI-system for Ingrad — .21. roadmap BI- Ingrad

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MD/MQ Data management
data-driven
self-service BI
Data Visualization
Data Storytelling
ABI
real time
Data warehouse modernization
Data governance
Cloud BI
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