big data everywhere chicago: platfora - practices for customer analytics on hadoop

Big Data EverywhereChicago

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Introduction


Background


PROVEN ABILITY TO PERFORM

Proven leader

PROVEN COMPANY TO WATCH

Ones to Watch in Big Data

April 2014 10 Hot Hadoop

Startups to Watch

CRN 10 Coolest Big Data

Products of 2013

RAISED $65M BY LEADING INVESTORS

• Increased YOY ARR bookings by 3x

• Grew customers by 4x and employees by 2x

• Launched 9 product versions with feature innovations

MOMENTUM OVER THE PAST 12

MONTHS


Today’s solutions weren’t built for Multi-Structured Data

Old Way = Traditional BI/DW New Way = Big Data AnalyticsFriction – heavy modeling up front

Best for classic structured data

Complex change management

Frictionless – just land data

Unlimited volume and variety

Flexible and iterative


Current Architecture


Previous Architectures

• Focused on Cost Reduction through tool displacement


Exciting Time


Today’s solutions force big data to become small

“Most companies estimate

they're analyzing a mere

12% of the data they

have…missing out on data-

driven insights hidden inside

the

88% of data they're ignoring.”

– Business Analyst– Business Analyst


The value of big data lies in seeing all the data

– Business Analyst

– IT

– Data

Preparation


MSD creates the opportunity to ask new questions iteratively, against 100% of your data


– IT

– Data

Preparation

Creating new

answers to

questions not

possible before.



Evolution of Data Analyst Workflows

– Data

Preparation

1%

10%

– Analysis

100%

IT

Analyst

2005-Today

“Data Discovery”

IT

Analyst

Pre-2005

“BI”

Analyst

Today -

“Multi-Structured Data

Analysis”

Access to All the Data is Key:

• Analysts are more efficient;

no wait time for iterative

analysis

• Detailed behavioral

attributes are accessible

• New datasets (at scale) are

driving new questions

• Data under the waterline is

growing quickly

The Multi-Structured Data

World:

Transactions, Customer

Interactions & Machine Data

combined across large datasets


Understand your audience

like never before

Benefit from

economies of scale

Customer AnalyticsGain a holistic view of your customer’s journey through Big Data Analytics

13

Customer Analytics

Ask unlimited questions

about your data


Siloed marketing data makes it difficult to understand your audienceForcing you to analyze a subset of your data

“Most companies estimate they're analyzing a mere 12% of the

data they have…missing out on data-driven insights hidden

inside the 88% of data they're ignoring.”

CRMSite

MetricsSocial Email Transactions


1960s

Mainframe

1980s

Client Server

1990s

Internet

2000s

Mobile

2010s

Social

2014

Internet of Things

1970s

Mini Computing

The new world of data is Multi-StructuredData is coming in new forms, in greater size, and at increasing speed


"How do we increase upsell

across our customer base?"

But, Big Data is Multi-Structured DataIncorporating various datasets



“Are we victim to advanced

persistent cyber threats?”



“How is our set-top box

user experience?”


Segmentation Analysis

Understand a wide variety of your

audience’s characteristics

Behavioral Analysis

Improve your targeting with robust

behavioral measures

Event Series Analysis

Unite and make sense of raw data

overtime

Understand your audience like never beforeConnections at every touchpoint


Add new datasets instantly

Quickly add new datasets and

analyze interesting data in

Hadoop immediately

Zero in on what matters

Create Lenses to analyze the

data that is most valuable to your

business

No code required

Drag and drop functionality

eliminates the need for code

Ask unlimited questions about your dataSelf-service, iterative, and interactive


Get up & running easily

Visualize insights from raw data

in a day

Analyze 100% of your data

Have confidence in your

decisions by analyzing more

accurate trends over a longer

time period

Democratize your data

Easily share insights with your

coworkers regardless of their

technical skill level

Benefit from economies of scaleEasy to use, scalable, and affordable


Changing Landscape


Insights driving iterative product improvements

Internet of Things:

• Analyzed data from security and energy

sensors inside consumer homes.

• Performed limitless segmentation of data and

received fast responses to queries.

• Identified patterns in customer behavior to

improve service, create new offerings.

“…We’re able to combine different types of data and analyze

the information in new ways. These new insights allow us to

make constant improvements to our suite of home

automation products.”

– BRANDON BUNKER, SENIOR DIRECTOR OF CUSTOMER ANALYTICS AND INTELLIGENCE


Home Automation


Home Automation meets IoT


Media Company – Usage Patterns


Media Company – Social Tracking


Linking advertising influence and consumer behavior

The Challenge:

• A need to integrate clickstream, search and inventory data

across four disconnected business units.

• A desire to decelerate investments in traditional EDWs and

analytic databases.

The Solution:

• Integrated and visualized TV spot data, fine-grained web site

traffic metrics and car dealer inventory to better understand

the influence on the consumer's journey.

• Created vizboards that demonstrated immediate consumer

behavior shifts influenced by OEM TV ads during the

SuperBowl.

• Project to ROI in 6 weeks. Gained insights in significantly less

time and money than if they used legacy tools.

“Platfora enabled us to quickly understand precisely

how advertising investments influence consumer

behavior.” – ED SMITH, CTO


Reinventing loyalty marketing with big data analytics

The Challenge:

• Experienced a dramatic growth in customer data volumes and they needed a streamlined process for rapid data visualization in order to facilitate data exploration for patterns that were important to customers.

The Solution:

• With Platfora, Paytronix was able to cut the turnaround time on analytics to customers in half.

• Platfora’s full stack solution eliminated the need for time and resource consuming ETL cycles.

• It’s now easy and faster for them to instantly create their own visual analysis of data using our Big Data Analytics platform.

“With Platfora, we can shave weeks off the time (it takes)

to integrate social media, mobile, online and in-store

data to reinvent what loyalty marketing means to

restaurateurs and their guests.”

– ANDREW ROBBINS, CEO & FOUNDER


Platfora Pitch


Deep intellectual property

DEEP PROCESSING

DISTRIBUTED IN-MEMORYACCELERATION

INTERACTIVE VISUAL ANALYTICS

The ONLY Big Data Analytics platform that:

• Utilizes a closed-loop, iterative approach driven

by users: Interest Driven Pipeline™

• Performs multi-channel Event Series Analysis and

iterative segmentation across all Hadoop data

• Uses HTML5/Canvas objects supporting 1

million+ marks

• Offers a scale-out, in-memory accelerator

engine to progressively refine details and

support event and aggregate processing

• Automatically generates MapReduce/Spark

jobs to populate an in-memory accelerator

layer including event-correlation and

aggregate push-down


From Multi-Structured Data to insights in a day

“Platfora not only accelerates our results – some analytics tasks which once took weeks can now

be completed in 20 minutes – it allows us to do things which before were simply not possible.

Instant access to all available data puts vital information into the hands of our business decision

makers and enables us to bring unprecedented value to our customers.”

– DR. KARL GEIGER, INNOVATION, DATA AND TOOLS

Point Platforaat Hadoop

1Add and connect details

2Pick interesting data

3Visualize & find patterns

4Share or drive actions

5

Business Analyst Iterates & Repeats

Supports Cloudera,

Hortonworks, MapR,

Pivotal, Amazon

Visual catalog

and raw data

wrangling

Automatically

drives Hadoop

to build/refine

memory lens

Follow patterns

down to any

level of detail

Collaborate,

publish, or export

downstream feed

Thank You

big data everywhere chicago: platfora - practices for customer analytics on hadoop

Software

months confidential

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exciting time confidential

structured data old

coolest big data products

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