Post on 15-Jul-2015
Grab some
coffee and
enjoy the
pre-show
banter before
the top of the
hour!
The Briefing Room
Understanding What’s Possible: Getting Business Value from Big Data Quickly
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Welcome
Host: Eric Kavanagh
eric.kavanagh@bloorgroup.com @eric_kavanagh
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Reveal the essential characteristics of enterprise software, good and bad
Provide a forum for detailed analysis of today’s innovative technologies
Give vendors a chance to explain their product to savvy analysts
Allow audience members to pose serious questions... and get answers!
Mission
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Topics
April: BIG DATA
May: CLOUD
June: INNOVATORS
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Analyst: David Loshin
David Loshin, president of Knowledge Integrity, Inc, is a thought leader and expert consultant in the areas of data quality, master data management, and business intelligence. David is the author of numerous books and papers on data management, including the “Practitioner’s Guide to Data Quality Improvement.” David is a frequent speaker at conferences and in web seminars. His best-selling book, “Master Data Management,” has been endorsed by data management industry leaders. David can be reached at loshin@knowledge-integrity.com, or at (301) 754-6350.
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OpenText
OpenText produces enterprise information management software, including solutions for search, content management and customer management
OpenText recently acquired Actuate in order to build out its big data analytics and visualization capabilities
Actuate’s BIRT Analytics Platform includes traditional BI and reporting, as well as advanced and predictive analytics
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Guest: Allen Bonde
Allen Bonde (@abonde) is VP of Product Marketing & Innovation at OpenText, where he joined following the acquisition of Actuate. A former McKinsey and Yankee Group analyst, he was previously CMO of Offerpop, and a Partner at Digital Clarity Group covering social business and big data. Mr. Bonde started his career as a data scientist in the telecom sector, is a frequent industry speaker, and has been featured in over 150 publications worldwide.
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Perceptions & Questions
Analyst: David Loshin
Brie%ing Room: Considerations for Big Data Analytics
April 14, 2015 David Loshin
Knowledge Integrity, Inc. loshin@knowledge-‐integrity.com
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350 11
“Big Data” Analytics? • What differenKates “big data”
analyKcs from “regular” analyKcs? – Scale (lots of data) – Scope (different sources) – Speed (rapid Kme-‐to-‐value) – Sweep (lots of delivery points) – SoluKons (addressing business
needs)
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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Analytics Users • Data ScienKst • Business Analyst
• IT Developer • Process Owner
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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Review the past
Explore causality
Consider scenarios
Adjust behavior
OpKmal decisions
What Happened? Why? What If? How? What Next?
Reports Ad Hoc Sta/s/cal Analysis Planning
Forecas/ng Models
Predic/ve Models
Prescrip/ve Analy/cs Search Dashboards
Increasing interest in more complex analysis
Problem-‐Solving, Learning, and Doing • There are two facets to the
analyKcs process: – Discovery – PresentaKon
• Big Data AnalyKcs tools must facilitate the ways the different users address opportuniKes for creaKng value
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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IdenKfy the business challenge
Determine the
informaKon you need
Discovery analysis
Present results
Take acKon
Blending Different Sources • Different types of data
sources: – Machine-‐generated content – AutomaKcally-‐generated
content – Human-‐generated content – Legacy content
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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Performance & the Extended Enterprise • The organizaKon’s data
resources expand beyond the administraKve boundaries – Cloud-‐based applicaKons – Hosted systems – Sensors – Human-‐generated media – Mobile devices
• Performance is criKcal to deliver acKonable knowledge within the window of opportunity
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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Questions • Can you describe some of the enhancements you have undertaken to
improve performance across the extended enterprise? • Data scienKsts with staKsKcal backgrounds are very different than casual
business users. How does the product saKsfy the needs of the different types of users?
• What are the disKncKve features of the product that facilitate the “understand” process?
• How can the product suite train users to become more adept at both the “understand” and “engage” phases of the analyKcs process?
• The Apple Watch is one of the recently announced wearable devices. How does the “wearable” paradigm impact your plans for big data analyKcs?
• Speaking of the wearables, what thoughts do you have about adapKng to non-‐convenKonal methods of knowledge delivery? And data acquisiKon?
• What opportuniKes are there for pushing analyKcs to the middle and edges of the extended enterprise?
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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Stay in Touch • www.knowledge-‐integrity.com • www.dataqualitybook.com • www.decisionworx.com • If you have quesKons, comments,
or suggesKons, please contact me David Loshin 301-‐754-‐6350 loshin@knowledge-‐integrity.com
© 2015 Knowledge Integrity, Inc loshin@knowledge-‐integrity.com (301) 754-‐6350
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Upcoming Topics
www.insideanalysis.com
April: BIG DATA
May: CLOUD
June: INNOVATORS
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THANK YOU for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons