AWS LogiAnalytics EngageCX webinar share

The Perfect Storm: Big Data Analytics

in the Cloud with AWS

Featuring ENGAGEcx

Alvin Wong, Logi Analytics

Brandon Chavis, Amazon Web Services

Rachel Scales, ENGAGEcx

February, 2015

Today’s speakers

Rachel Scales VP, Product Management

ENGAGEcx

Alvin Wong Product Marketing Manager

Logi Analytics

Brandon Chavis Solutions Architect

Amazon Web Services

Agenda

1 Case Study - ENGAGEcx

2 AWS Platform for Big Data

3 Why AWS & Logi Analytics

ENGAGEcx Agenda

About ENGAGEcx

ENGAGEcx Offerings (Application Packaging)

Demonstration

Application Subsystems & Architecture

• Analytics and Tenant Field Configuration: • Tackling a key multi-tenancy challenge with Logi Analytics

Experience-driven B2C CRM

www.engage.cx

Our POV: Know the Customer, Optimize the Lifecycle

Know Your Customer across Channels Universal Customer

Profile

Personalized

Experience

Consistently Recognize your customer across all touch points

Preferences

Location

Context

History

Relationships

Contact Points

Engage Customers on their terms

Web Engagement

Mobile Engagement

Contextual Personalization

Digital Events

Events, Content, Chat, Phone, Social, Video, email

Events, Content, Chat, Phone, Social, Video, email

Web, Mobile, Display

Physical Events

Location & Proximity

Kiosk, iBeacon, Wifi, RFID, etc.

On Property Systems

Phone, Access Control, POS, Check-in, etc.

Empower Employees in the Moment Customer & Interaction Profile

Employee Engagement Platform

• Mobile, wearable (coming soon)

• Multi-media (chat, phone, social, video, notifications, etc.

• Customer dossier • Content delivery • Location delivery • Broadcast Notifications &

Alerts

Customer Timeline & Journey

Custom Employee Content Customer Affinity Tracking

Customer & Interaction Profile

Employee Engagement Platform

• Mobile, wearable (coming soon)

• Multi-media (chat, phone, social, video, notifications, etc.

• Customer dossier • Content delivery • Location delivery • Broadcast Notifications &

Alerts

Customer Timeline & Journey

Custom Employee Content Customer Affinity Tracking

Embedded

Logi Info

Reports

Customer Timeline & Journey Custom Employee Content

Empower Employees in the Moment

Measure Performance throughout the Lifecycle

Inquire Consider Engage Purchase Install Maintain

Performance Visibility across Lifecycles, Personas, Employees and Channels

Industry Specific Customer Experience KPIs

ENGAGEcx Offerings

• Customer Engagement Profile

• Universal personalization across all touch points

• Customer Lifecycle definition & tracking

• Analyze & Benchmark Customer Lifecycle performance

ENGAGEcx Connect

plus

• Notify employees of customer location-based activities

• Notification specific content delivery on every event

Connect Customers

Inform Employees

Empower Teams

ENGAGEcx Inform

plus

• Connect customers with employees on their terms

• Customer dossier on every interaction

• Associate performance analytics

Employee As: Business Analyst Host/Manager Associate/Team Member

Native Cloud 2.0 Service • Public and Private

Self-Service Sign up & Provisioning

Consumption Pricing • Events and data

Seats are free

Apps are free

Demonstration

ENGAGEcx Subsystems

ENGAGEcx Architecture

Issue: How to allow Tenants to

configure their own fields for their

implementation, but still offer

standard reporting?

Analytics and Tenant Field Configuration


Customer Admin

Define Custom Field

1 Define Channel Use

Define Reports Use

3

Big Data Stream

Analytic Report Definer

View and Personalize Reports

4 “Analyze” User

2


Customer Admin

Define Custom Field


Define Reports Use

3

Big Data Stream


View Reports


2

Define Channel Use



Customer Admin

Define Custom Field

1 Define Reports Use

3

Big Data Stream

Analytic Report Definer “Analyze” User

2

Kinesis Stream

Insert Field Message:

Produce Field Message

Consume Field Message

4 Updated Tenant’s Schema in Redshift:


Customer Admin

Define Custom Field


Define Reports Use

3

Big Data Stream




2

Generate Reports (XSLT -> LGX)

Reports Definition (XML)


Customer Admin

Define Custom Field


Define Reports Use

3

Big Data Stream




2

Why AWS?

Questions?

Agenda




Amazon RDS: managed SQL in the cloud

• Simple and fast to deploy

• Handles repetitive management tasks

• Compatible with your applications

– And introducing Amazon Aurora

• Fast, predictable performance

• Simple and fast to scale

• Secure

• Cost-effective

Amazon RDS

Amazon RDS is simple and fast to deploy

• Get a production-ready

database instance in

minutes

• No need to acquire servers,

rack and stack, install OS

and database software

Amazon RDS handles management tasks

• Automated backups

– Easy point-in-time recovery

• Automated patch

management

• Automated replication with

Multi-AZ

Choose Multi-AZ for greater availability, durability

• An availability zone is a physically distinct, independent

infrastructure

• With Multi-AZ operation, your database is synchronously replicated

to another AZ in the same AWS region

• Failover occurs automatically in response to the most important

failure scenarios

• Planned maintenance is applied first to backup

Amazon RDS Read Replicas offer scale-out

• Offload read traffic to

automatically maintained Read

Replicas

• Load-share traffic across

multiple Read Replicas

• Easy to set up

Schema design

Query construction

Query optimization

Migration

Backup and recovery

Patching

Configuration

Software upgrades

Storage upgrades

Server upgrades

Hardware issues

Summary: Why choose Amazon RDS?

Focus your

team here

Let AWS

focus here

Flipboard relies on Amazon RDS

• Flipboard is an online magazine with millions of users and billions of “flips” per month

• Uses Amazon RDS and its Multi-AZ capabilities to store mission critical user data

"We were able to go from

concept to delivered product

in about six months with just

a handful of engineers."

- Greg Scallan, Chief

Architect, Flipboard

Fast, simple, petabyte-scale data warehousing for less than $1,000/TB/Year

Amazon Redshift

Amazon Redshift Architecture

• Leader Node – SQL endpoint

– Stores metadata

– Coordinates query execution

• Compute Nodes – Local, columnar storage

– Execute queries in parallel

– Load, backup, restore via Amazon S3; load from Amazon DynamoDB or SSH

• Two hardware platforms – Optimized for data processing

– DW1: HDD; scale from 2TB to 2PB

– DW2: SSD; scale from 160GB to 330TB

10 GigE

(HPC)

Ingestion Backup Restore

JDBC/ODBC

Amazon Redshift integrates with multiple data sources

Amazon S3

Amazon EMR

Amazon Redshift

DynamoDB

Amazon RDS

Corporate Datacenter

Agenda




The Leader in Self-Service Analytics

Embed & Distribute Analytics in the

Applications You Use Everyday

• Empowers technology professionals w/ rapid,

agile and affordable way to create and deliver

compelling dashboards, reports and analyses

• System of Record for sharing KPI’s using

dashboards and reports

• Embedded analytics inline with critical

business applications

• Information distribution to large numbers of users

Self-Service Analytics for the Workgroup

• Enables a broader audience of users to analyze,

visualize and socialize information through a

unique data-forward user interface

• Data Science Built-In data profiling and a

recommendation engine make analysis and

insight more intuitive

• Share insights, collaborate and

distribute analytics

• A Web-based approach, so it is much easier to

deploy, manage and scale

An Established BI Challenger

Accelerating Growth Industry Recognition

2015 Industry “Challenger” –

Recognized for innovative product

suite, embedded analytics, and

superior customer satisfaction

2014 International Award of

Excellence – Best Online

Developer Network

2013 Finalist – Best Business

Intelligence / Analytics Solution

2013 ROI Award – Recognized for

outstanding implementation with

537% ROI and 3 month payback

period

• 600% growth past 5 years

• 1,600+ customers

• Offices in the US, UK and Sweden

1 of 2 Market Challengers

“Logi delivers a wide range of analytic

capabilities at a price point that attracts

customers to the platform and offers an

alternative to supporting several BI and

analytic tools to support different users

and use cases. More than 30% of

references cited low license cost, or

implementation cost and effort, as the

top reasons for selecting Logi. ”

Gartner Magic Quadrant for

BI and Analytics Platforms 2015

Logi & AWS Unlock Big Data Insights Self-Service Analytics For Your Entire Organization

Amazon RDS Amazon Redshift

- Fast Time-To-Value

- Flexible

- Customizable

- Scalable

- High-Performance

Next steps

• Register for a Free Trial of Logi Analytics software –

– Logi Info: http://www.logianalytics.com/start-your-free-trial

– Logi Vision: http://learn.logianalytics.com/vision-trial

• Deploy Logi Vision on AWS

– Logi Vision available on AWS for less than $2 per hour: https://aws.amazon.com/marketplace/pp/B00SLV10PO

• Learn About Logi & AWS Integrated Technology

– http://aws.amazon.com/rds/partners/logianalytics/

– http://aws.amazon.com/redshift/partners-detail/logi_analytics/

http://www.logianalytics.com/start-your-free-trial








http://learn.logianalytics.com/vision-trial




https://aws.amazon.com/marketplace/pp/B00SLV10PO

https://aws.amazon.com/marketplace/pp/B00SLV10PO

http://aws.amazon.com/redshift/partners-detail/logi_analytics/







Data & Analytics

AWS LogiAnalytics EngageCX webinar share