The Need for Speed - Conversational Analytics for Complex Challenges

Eric.kavanagh@bloorgroup.com

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!

Tuesday, May 8, 12

May: Analytics

June: Intelligence

July: Governance

August: Analytics

September: Integration

October: Database

Tuesday, May 8, 12

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

Robin Bloor is Chief
Analyst at The
Bloor Group.

Robin.Bloor@Bloorgroup.com

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.

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.

Tuesday, May 8, 12

Vectorwise
Enabling Conversational Analytics

Fred Gallagher
General Manager of Vectorwise, Actian Corporation

Tuesday, May 8, 12

Actian Overview

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Tuesday, May 8, 12

Vectorwise
Enabling Conversational Analytics

11

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

12

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

13

Tuesday, May 8, 12

Vectorwise Optimizes the Modern Technology
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Tuesday, May 8, 12

Vectorwise:
What Makes it So Fast?
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Tuesday, May 8, 12

Vectorwise:
Affordable Performance – Proven!

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Tuesday, May 8, 12

Vectorwise:
Affordable Performance – Proven!
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Vectorwise is FASTER on LESS Hardware for Unbeatable Price Performance

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Tuesday, May 8, 12

What Makes Data Useful?
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Ability for business users to
analyze granular data quickly!

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Tuesday, May 8, 12

From Insight to Action
The Next Frontier

Tuesday, May 8, 12

Taking Action on Big Data

Action Apps are
lightweight consumer
style applications that
automate business
actions.

22

Tuesday, May 8, 12

Actian Overview

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Tuesday, May 8, 12

Summary

Most DBMS’s designed for 1980’s hardware
Vectorwise exploits 30 years of hardware advances
Processors, cache and memory
Solves the problem instead of throwing money at the problem
Several proof-points with customers and benchmarks
Vectorwise speed creates value from data
Brings data to solve business problems and take action in real-time
Optimize data infrastructure and your business
Competitive advantage

OQ

Tuesday, May 8, 12

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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

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

Tuesday, May 8, 12

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

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

The Need for Speed - Conversational Analytics for Complex Challenges

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The Need for Speed - Conversational Analytics for Complex Challenges