This document discusses trends in business intelligence (BI). It notes that there is an increasing demand from end users for information to be available anytime, anywhere, and instantly. It also explores trends like BI moving from on-site installed software to cloud-based services, becoming more agile and customizable, shifting from retrospective to predictive analytics, incorporating social media data, vendors focusing on tailored solutions, and the need to select BI tools that fit organizations' strategic requirements. The document emphasizes that effective BI depends on relevant data, sound processes, data structure quality, and functionality meeting end users' needs.
Dynamics Day '11 - Business Intelligence Now and in the Future
Trends in BI - From Insight to Realization
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Trends in Business Intelligence
The forest for the trees...
Johan Reunis
Competence Center Manager
Controlling & Reporting
15th December 2011
FROM INSIGHT
TO REALIZATION
2. Trends in BI
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FROM INSIGHT
TO REALIZATION
Trends in BI
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3. Click to edit BI – Mobile style
Trends in Master title BI
Anytime
Information Anywhere
requirements
Now!
availability of info by the right people at the right time
security, consistency of information delivered at different times,
bringing the right information to the right people….
FROM INSIGHT
TO REALIZATION
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4. Trends in BI –Mastera Service
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On site installed software
Monthly fee for software use
Niche
SME’s players Traditional
Large
vendors
companies
no big upfront investment during development cycle, elimination of
capacity planning, fast way to execute trials
security of data, continuity of suppliers, flexibility for creating customized
reports
FROM INSIGHT
TO REALIZATION
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5. Click to edit Master title BI
Trends in BI – Agile style
Custom-
ise
Change
Persona-
layout /
lise
view
End
End user can adapt reports
user to specific needs
Drill- Drag & One version of truth
down drop
FROM INSIGHT
TO REALIZATION
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Trends edit – Analytical BI
Traditional BI Analytical BI
Historic data (“actuals”) Forecasting, scenario’s, what-if
moving BI from backward-looking to forward-looking and proactive
instrument
Forecasts and scenarios are only as good as the underlying model…
sophisticated models required for accurate forecasting – heavy
maintenance in changing environments
FROM INSIGHT
TO REALIZATION
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7. Trends in BI – Social media
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Social aspect
Data from
Collaboration
social media
additional insights from non-financial info, more effective communication
between teams on analysis results
merge unstructured data into the structured data, separate relevant info
from irrelevant data FROM INSIGHT
TO REALIZATION
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8. Trends in to edit Master title vendors
Click BI – Focussed BI style
IT
Business user
User friendly tools, delivering solutions tailored to end-user
needs, flexible and quick implementation
Future for focussed vendors?, management and maintenance of multiple
BI tools FROM INSIGHT
TO REALIZATION
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9. Click to edit BI – Our view
Trends in Master title style
BI developments
Ever increasing end-
Ever faster changing
user demands for
market conditions
flexible information
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TO REALIZATION
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10. Trends in BI – Impact
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Finance IT
• Challenge to ensure “one • Management of multiple
version of the truth” – applications
prevent proliferation of
reports • Increasing complexity of
system infrastructure
• Knowledge requirements
team (multiple BI tools) • Security of data
• No more monopoly of • Knowledge requirements
information team
• Move to decentralisation • Less ad hoc demands by
of controlling activities? end-users for reports
FROM INSIGHT
TO REALIZATION
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11. Trends in BI –edit Master fundamentals
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BI functionality
Relevant information to the right people
Data Quality Processes Data Structure
FROM INSIGHT
TO REALIZATION
Trends in BI
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Functional
requirements
BI Strategy
BI Tools
FROM INSIGHT
TO REALIZATION
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13. Questions?
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Editor's Notes
Focus on fundamentals – sophisticated BI tools are worthless if underlying data is not robustFocus on delivering the right information to the right people – easy to generate data overload with proliferation of BILook past the visualisation capabilities of the tools – delve into underlying model and data structuresFocus on processes and data quality rather than tool – choose tool that is right for the organisation, not always required to be state-of-the-art