7 ingredients to create real value from hadoop

Confidential © 2014 Actian Corporation 1

The 7 Ingredients to Create

Real Value from Hadoop

July 2014


“In an on-demand world, consumers will judge brands by their ability to deliver heighted experiences – interactions, literally anywhere – that offer high levels of value and are radically customized and easy to access along the customer decision journey.”

McKinsey Quarterly, 2013

The Marketing Manifesto for the Digital World

Engage Customers

Create Conversations

Transform Brand Experiences


Big Data Creates Significant Opportunities

Personalized Experiences • Ad, offer, & content optimization

• Location-based content

• Pricing optimization by segment

Better Decision-Making • True marketing ROI

• Predictive modeling

• Holistic campaign planning

• Profitability by affinity groups

Deep Audience Analysis • Hyper-segmentation

• Full customer 360°

understanding

• Buying signal analysis

• Customer lifetime value More Effective Spend • Omni-channel attribution

• Real-time ad & promo optimization

• Media mix optimization

• Brand monitoring


Big Data Creates $Billion Opportunities for You

Capture Share

Higher Returns

Higher Profits

Risk

14%

Advanced marketing

mix analysis delivers

higher profits

$226B

Retail Purchases

Online

$200B

15-20% improvement in

return on overall

marketing spend 2017

Year when CMO spend

On IT surpasses CIO


Transformational Value Data Explosion

? Actian Analytics PlatformTM

Analyze

Act

Connect

Customer

Delight

Competitive

Advantage

World-Class Risk

Management

Disruptive New

Business Models

Turning Digital Data into Transformational Value

Discovery without limitations

Low latency at any scale

Reactive to predictive

Static to dynamic flow

Segment of 1

Best in Class Usage

Design-time & run-time optimization

Linear parallelism

Rich analytics DNA

Pipeline architecture

Affordable unlimited scale

Best in Class Capabilities


1. Visual Framework for connecting, blending, & enriching data, data science discovery, building and testing predictive models

7 Ingredients to Create Real Value from Hadoop

Connect Blend & Enrich Discover Build & Test Models


1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models

2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta


Gartner Magic

Quadrant for

Advanced Analytics

Platforms Source: Gartner (February 2014)


Complete End-to-End Analytics on Hadoop

Source: 2013 Rexer Analytics Survey




3. High-Performance, YARN-based data processing engine running on HDFS



High Performance, Parallelized Processing on HDFS Without Any Programming

Actian Analytics Platform

Hadoop – Leader Node

Optimized, On-HDFS Processing

Query Pipelining

CPU Pipelining

Reuse and share all

components from

operators to

workflows

Optimize

Choose from five sets

of operators:

Connections

Transformation

Data Quality

Analytics

Data Science

Automatically detect

resources, plan

optimal utilization,

and parallelize all

workloads on Hadoop

Use dual pipeline

parallelism to

accelerate

performance 30X

Run fully optimized

processing directly on

the Hadoop node via

YARN

Take processing to

where the data lives,

runs natively on

Hortonworks

Visual Framework

Manage the entire

analytic process in a

visual framework with

no coding required.

≠ ☼ ≡ ∞ ∆ ∑ √ ≈ ∑ = ? # ~ ‰





4. High-Performance, vector processing engine as the pattern for SQL on Hadoop



The Story of X100 - Vector

Peter Boncz

Performance

X100 Drives Stinger and Impala Aspirations!






5. Extreme-Performance, super-low latency, massively parallel analytics engine



Libraries of Analytics

Ma

ss

ive

ly P

ara

lle

l

Inte

gra

tio

n

Hadoop

Sophisticated,

Low Latency

Analytics in

Database

Connections for Any Data

Actian Analytics PlatformTM

Enterprise Data

Machine Data

Social Data

Business

Processes

Users

Machines

Applications

Data Warehouse

Re

al-T

ime

An

aly

tic S

erv

ices

Visual Framework for Data and Analytic Workflows

SaaS Data

Actian Analytics Platform: Next Generation Big Data Analytics

Amazon

Redshift

High

Performance

Data Science

Natively on

Hadoop







6. Blueprints to accelerate analytics application development and value creation



Big Data 2.0 Media Mix Modeling Blueprint

IMPACT

FORECAST

ANALYSIS

MARKETING

IMPACT

ANALYSIS

CRMdb

All Relevant

Account Info and

Demographics

CONNECT

BUILD

CUSTOMER

PROFILE

EDWdb

All Relevant Sales

Histories

ANALYZE ACT

MAXIMIZE

REVENUE

FROM

MARKETING

SENTIMENT

AND

CONTENT

ANALYSIS

AGGREGATE

SALES

DATA

Hadoop

Logs

Detailed ePOS

Receipts

SKU LEVEL

SALES DATA

BY GEO

JOIN

DERIVE

AGGREGATE

PREPARE

EDWdb

Marketing Vehicle

Details

CAPTURE

MARKETING

VEHICLES

MARKETING

MIX SALES

CONTRIBUTION

YEARLY CHANGE

REPORT

SALES

VOLUME,

EFFECTIVENES

S, EFFICIENCY

AND ROI

REPORT

NEW MEDIA

MIX

OPTIMIZATION

MINIMIZE

MARKETING

SPEND TO

REVENUE

RATIO

Hadoop

Text Files

Campaign Response

Notes

PREPARE

FOR TEXT

ANALYTICS

CUSTOMER

MATCH

WITH

CAMPAIGNS

VEHICLE

RESULTS

AT GEO,

STORE, SKU

AND

CUSTOMER

LEVEL







6. Blueprints to accelerate analytics application development and value creation

7. High performance, industrialized SQL in Hadoop

7 Ingredients Added to Hadoop to Create Value


Comprehensive – covers full analytic process: data blending & enrichment, discovery & data science, analytics & operational BI

Accessible – standard ANSI SQL-92 to support standard BI tools; plus key advanced analytics including cube, grouping sets and windowing functions

Optimized – mature, proven planner and optimizer; optimal use of every node, CPU, memory, and cache

Secure – native DBMS security including authentication, user and role-based security, data protection, and encryption

Reliable - fully ACID-compliant with multi-version read consistency, plus system-wide failover protection

Manageable – resources managed automatically in Hadoop via YARN

Consumable – now usable by millions of users with every SQL tool and application on the planet

Scalable – unlimited expansion to handle extreme #s of users, nodes, data

The Seventh Ingredient Adds Perfection Actian – The Most Industrialized SQL in Hadoop


Libraries of Analytics

Hadoop

Connections for Any Data

Actian Analytics Platform – Hadoop SQL Edition

Visual Data Science and Analytic Workbench

High Performance

Analytics Processing

Industrialized SQL Access & Operational BI

Natively in Hadoop

Actian removes all barriers for business access to big data analytics

Business

Processes

Users

Machines

Applications

Expansive Connectivity Data Blending & Enrichment Discovery Data Science Analytics Operational BI

Enterprise Data

Machine Data

Social Data

Data Warehouse

SaaS Data

Amazon

Redshift


Actian transforms Hadoop from a data lake into a high-

performance analytics platform

Actian Analytics Platform – Hadoop SQL Edition Industrialized, High-Performance SQL in Hadoop

Only end-to-end analytic processing natively in Hadoop

Highest performing, most industrialized SQL in Hadoop

Removes all barriers for business access to big data analytics

Unleashes millions of business-savvy SQL users on Hadoop data

Outperforms Cloudera’s Impala by up to 30x


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7 ingredients to create real value from hadoop

Data & Analytics