the need for speed - conversational analytics for complex challenges
TRANSCRIPT
Tuesday, May 8, 12
Twitter Tag: #briefr
Tuesday, May 8, 12
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!
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Tuesday, May 8, 12
May: Analytics
June: Intelligence
July: Governance
August: Analytics
September: Integration
October: Database
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Tuesday, May 8, 12
Twitter Tag: #briefr
Ultimately analytics is about businesses making optimal decisions, although the range of technologies that inhabit this area is wide: statistical analysis, data mining, process mining, predictive analytics, predictive modeling, business process modeling and additionally complex event processing.
With the advent of big data, analytics has become “big analytics” with organizations diving into large heaps of data that previously was not available or usable.
When you combine analytics with Big Data response times can become barriers to meeting business goals in the needed time frame. Database performance become a key determining factor.
Tuesday, May 8, 12
Twitter Tag: #briefr
Robin Bloor is Chief Analyst at The Bloor Group.
Tuesday, May 8, 12
Actian Corporation (formerly Ingres Corp.) is a database and software development company. Its premier database platform is Vectorwise a new, innovative and highly performant database.
Vectorwise is the only database platform we are aware of that implements parallelism at every level from the processor core to data storage and is thus both scalable and highly performant.
Actian also boasts a cloud-based app development platform tailored for building mobile applications (actian Apps) which are lightweight consumer-style applications that automate business actions triggered by real-time changes in data.
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Tuesday, May 8, 12
Fred Gallagher GM, Vectorwise at Actian Corporation is responsible for managing the business activities for Actian’s breakthrough product. He joined Actian in 2006 as vice president of business development. Prior to joining Actian, Fred worked for Qlusters, where he was responsible for worldwide sales, marketing, and business development. Previously, he was at Seagate Technology. Fred holds Bachelor of Arts and an MBA from Stanford University.
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Tuesday, May 8, 12
VectorwiseEnabling Conversational Analytics
Fred GallagherGeneral Manager of Vectorwise, Actian Corporation
Tuesday, May 8, 12
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Actian Overview
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Tuesday, May 8, 12
VectorwiseEnabling Conversational Analytics
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Tuesday, May 8, 12
Conversational Analytics:What is it?
The ability to interact with your data in real-time and ask follow up questions in the moment
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Tuesday, May 8, 12
Conversational Analytics: The Need for Speed
Empower your employees to get insight quickly
Be faster than your competition
Optimize your business
Discover new opportunities first
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Tuesday, May 8, 12
Vectorwise Optimizes the Modern Technology Stack
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Tuesday, May 8, 12
Vectorwise:What Makes it So Fast?
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Vectorwise:Affordable Performance – Proven!
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Vectorwise:Affordable Performance – Proven!
Vectorwise is FASTER on LESS Hardware for Unbeatable Price Performance
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What Makes Data Useful?A;
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Ability for business users to analyze granular data quickly!
Tuesday, May 8, 12
Tuesday, May 8, 12
From Insight to ActionThe Next Frontier
Tuesday, May 8, 12
Taking Action on Big Data
Action Apps are lightweight consumer style applications that
automate business actions.
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Tuesday, May 8, 12
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Actian Overview
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Tuesday, May 8, 12
Summary
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Most DBMS’s designed for 1980’s hardwareVectorwise exploits 30 years of hardware advances
Processors, cache and memorySolves the problem instead of throwing money at the problemSeveral proof-points with customers and benchmarks
Vectorwise speed creates value from dataBrings data to solve business problems and take action in real-timeOptimize data infrastructure and your businessCompetitive advantage
Tuesday, May 8, 12
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Tuesday, May 8, 12
Twitter Tag: #briefr
Tuesday, May 8, 12
Tuesday, May 8, 12
Tuesday, May 8, 12
Most of the Big Data opportunity is really a Big Analytics opportunity. Companies rarely think in terms of “better dashboards” when they embark on Big Data projects
Big Analytics can be thought of as involving 2 distinctly different latencies:
Acceptable latency
Truly actionable latency
The second of these is an imperative in some business areas e.g. credit card fraud, telco customer churn, risk analysis, etc.
Tuesday, May 8, 12
Analytics needs to be a precursor to action. There are very few new analytical techniques. Indeed most analytical techniques are old and well understood and well established.
The challenge with analytics is whether analytical activity is well integrated within a business process, so that when a trend changes, a business can respond quickly (if it is a contextual trend) and quickly enough (if it is a competitive trend).
Sometimes businesses perform the analytics but fail to act. It’s more common than it should be.
Tuesday, May 8, 12
Tuesday, May 8, 12
Big Analytics is here to stay
In some analytical application areas speed is desirable, in others speed is critical
Analytic speed depends upon the database engine, but also data flow architecture
Business effectiveness depends upon integration with the business process
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Tuesday, May 8, 12
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Questions
What specific application areas do you regard as sweet spots for VectorWise
Benchmarks may be impressive, but in the end they are synthetic. So the question is how well does Vectorwise perform:
With mixed query workloads (short and long queries) on large volume data?
With heavy duty analytic workloads? (what difference does vector processing make in this area?
Can it handle fast ingest with simultaneous query workloads.
Tuesday, May 8, 12
Twitter Tag: #briefr
Questions
In what way is Vectrowise available as a cloud service. Is there anythign other than speed which differentiates you?
Which vendors do you tend to meet in competition?
Who have been the early adopters of this kind of capability and what kind of business problems are they trying to solve?
Which vertical business sectors have shown most interest in Vectorwise and which have shown the least
How important is Vectorwise as a complement to your mobile App platform?
Tuesday, May 8, 12
Tuesday, May 8, 12
Twitter Tag: #briefr
May: Analytics
June: Intelligence
July: Governance
August: Analytics
September: Integration
October: Database
Tuesday, May 8, 12
Tuesday, May 8, 12