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Why BI doesn’t fly
and will Big Data change
that?
Nov 22, 2015
#bcbk
Barcamp Bangkhen 2015
Business Intelligence Promises
• Business intelligence (BI) is a technology-driven
process for analyzing data and presenting
actionable information to help corporate
executives, business managers and other end
users make more informed business decisions
• 20 years since BI became mainstream
• Less than 30% of potential users use BI tools
actually use it
Successfully implemented, but…
• Low adoption after 6 months
• Competing with Excels
• Data quality deteriorate render some tools
unusable
• Report proliferation
The missing links
• Lack actionability focus
• Focus on technology & tool rather than decision
making processes
• Lack data quality focus
• Ad-Hoc or project-based data quality tasks rather
than holistic approach
• Reminder:
• Most business users need data to accomplish their
daily tasks, not playing with tool
Big Data: Similar promises but
sexier
• “Big data” is high-volume, -velocity and -variety
information assets that demand cost-effective,
innovative forms of information processing for
enhanced insight and decision making.
• Big Data is vulnerable to the same mistakes
Advance Analytics – the secret
weapon
• Huge opportunities enabled by advance analytics
• Discover new insights
• Alleviate data quality impact
• A new hope for becoming “Data-Driven
Organization”
Suggestions (either in BI or Big Data)
• Clarify “Decision Making Process”
• Creating “Actionable Report/Dashboards/Insight”
• Embed IT solutions into standard business
decision processes
• Finding the right “technologies” to improve the
delivery of solutions
• Address “Data Quality” in holistic manner
Thank you

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Why bi doesn't fly and will big data change that?

  • 1. Why BI doesn’t fly and will Big Data change that? Nov 22, 2015 #bcbk Barcamp Bangkhen 2015
  • 2. Business Intelligence Promises • Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions • 20 years since BI became mainstream • Less than 30% of potential users use BI tools actually use it
  • 3. Successfully implemented, but… • Low adoption after 6 months • Competing with Excels • Data quality deteriorate render some tools unusable • Report proliferation
  • 4. The missing links • Lack actionability focus • Focus on technology & tool rather than decision making processes • Lack data quality focus • Ad-Hoc or project-based data quality tasks rather than holistic approach • Reminder: • Most business users need data to accomplish their daily tasks, not playing with tool
  • 5. Big Data: Similar promises but sexier • “Big data” is high-volume, -velocity and -variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. • Big Data is vulnerable to the same mistakes
  • 6. Advance Analytics – the secret weapon • Huge opportunities enabled by advance analytics • Discover new insights • Alleviate data quality impact • A new hope for becoming “Data-Driven Organization”
  • 7. Suggestions (either in BI or Big Data) • Clarify “Decision Making Process” • Creating “Actionable Report/Dashboards/Insight” • Embed IT solutions into standard business decision processes • Finding the right “technologies” to improve the delivery of solutions • Address “Data Quality” in holistic manner