The 3 Insights Defining Modern Analytics
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Transcript of The 3 Insights Defining Modern Analytics
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3 Insights Defining Modern Analytics The current data landscape, key trends, and the future of business intelligence !and data analytics.
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The technology landscape has created entirely new sets of demands on data analysts.
WHY WHAT
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Business users demand complete, readily accessible information, on any device, at all times.
WHY WHAT
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New technologies in data warehousing
WHY WHAT
• MPP, columnar, Hadoop, in-memory • Increased power of MySQL infrastructure
via IaaS like AWS and Softlayer
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Data management techniques in the new era of big data
WHY WHAT
• “Collect & store everything” philosophy • ELT vs ETL — complex analytics
should happen automatically and on the fly
• Details define value and drive action
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The missing innovation cycle
WHY WHAT
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BI needed a new architecture… not just a different way to distribute an application.
WHY WHAT
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Data analytics isn’t easy, it’s getting more complex every day. Don’t trade complexity for self-service.
WHY WHAT
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Empower the data analyst.
WHY WHAT
• Resources aren’t increasing with complexity – that’s a conundrum
• Same people, more data, more complexity
• The data analyst is expected to do more
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BI shouldn’t be consumed only via the software. It should be everywhere.
WHY WHAT
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How does a modern analytics team overcome these obstacles?
3 Insights…
WHY WHAT
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1 Data modeling is extremely important
WHY WHAT
• Analysts should do analytics, not reporting
• True efficiency is reached by not repeating work or duplicating efforts
• Extending data everywhere needs a single source of truth
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2 Exploit the power of the underlying database
WHY WHAT
• Big data isn’t easily moved (increased latency)
• Value in details only comes from live access
• They’re expensive and powerful, exploit the investment
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3 Distribute everything through the web,
securely.
WHY WHAT
• BYOD and other trends remove standardization of devices (phones, laptops, etc.); the browser is the only solution for consistency
• Collaboration is core to success with data; the web is inherently collaborative
• Data everywhere needs a web architecture: the web was built to be connected
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WHY WHAT
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