from big data to actionable insight: what's needed on the back end

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From Big Data to Actionable Insight: What’s Needed on the Back End

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Page 1: From Big Data to Actionable Insight: What's Needed on the Back End

From Big Data to Actionable Insight:What’s Needed on the Back End

Page 2: From Big Data to Actionable Insight: What's Needed on the Back End

Agenda

Industry Examples

Big Data Is Flashy

The Not-So-Flashy Side of Big Data

Q&A

Gaining the Insight

Page 3: From Big Data to Actionable Insight: What's Needed on the Back End

Big Data Is Flashy

Page 4: From Big Data to Actionable Insight: What's Needed on the Back End

How Flashy Is It?

Fortune 100 Financial Services Companies

Store history for billions of transactions

Page 5: From Big Data to Actionable Insight: What's Needed on the Back End

How Flashy Is It?

Fortune 100 Financial Services Companies

Store history for billions of transactions

Identify and prevent

fraudulent behavior

Page 6: From Big Data to Actionable Insight: What's Needed on the Back End

How Flashy Is It?

Fortune 100 Financial Services Companies

Store history for billions of transactions

Identify and prevent

fraudulent behavior

Predict cardholder behavior

Page 7: From Big Data to Actionable Insight: What's Needed on the Back End

How Flashy Is It?

Online Retail Corporations

Track every online

interaction

Page 8: From Big Data to Actionable Insight: What's Needed on the Back End

How Flashy Is It?

Online Retail Corporations

Track every online

interaction

Load custom website for each visitor

(mass personalization)

Page 9: From Big Data to Actionable Insight: What's Needed on the Back End

The Not-So-Flashy Side of Big Data

Page 10: From Big Data to Actionable Insight: What's Needed on the Back End

IT Architectures, Networking Topologies, and Physical Infrastructure are all undergoing massive structural shifts to deal with Big Data demands

The 3Vs of Big Data

VOLUME

• Terabyte

• Petabyte

• Exabyte

• Zettabyte

VARIETY

• Structured

• Semi-structured

• Unstructured

VELOCITY

• Near real time

• Real time

• Streaming

3 Vs of Big Data

Page 11: From Big Data to Actionable Insight: What's Needed on the Back End

The 4th V of Big Data?

Quality, accuracy, reliability, duplicity, relevancy, …….

VOLUME

• Terabyte

• Petabyte

• Exabyte

• Zettabyte

VARIETY

• Structured

• Semi-structured

• Unstructured

VELOCITY

• Near real time

• Real time

• Streaming

3 Vs of Big Data

Page 12: From Big Data to Actionable Insight: What's Needed on the Back End

VOLUME

• Terabyte

• Petabyte

• Exabyte

• Zettabyte

VARIETY

• Structured

• Semi-structured

• Unstructured

VELOCITY

• Near real time

• Real time

• Streaming

VERACITY

• Integration

• Harmonization

• Management

Veracity, the 4th V of Big Data

Quality, accuracy, reliability, duplicity, relevancy, …….

4 Vs of Big Data

Page 13: From Big Data to Actionable Insight: What's Needed on the Back End

Gaining the Insight

Page 14: From Big Data to Actionable Insight: What's Needed on the Back End

What’s missing from the picture?

VOLUME

• Terabyte

• Petabyte

• Exabyte

• Zettabyte

VARIETY

• Structured

• Semi-structured

• Unstructured

VELOCITY

• Near real time

• Real time

• Streaming

4 Vs of Big Data

VERACITY

• Integration

• Harmonization

• Management

Page 15: From Big Data to Actionable Insight: What's Needed on the Back End

5th V: ValueBusiness derives VALUE from Big Data initiatives through the actionable insights!

VOLUME

• Terabyte

• Petabyte

• Exabyte

• Zettabyte

VARIETY

• Structured

• Semi-structured

• Unstructured

VELOCITY

• Near real time

• Real time

• Streaming

VERACITY

• Integration

• Harmonization

• Management

5 Vsof Big Data

VALUE

• Discovering actionable insights

Page 16: From Big Data to Actionable Insight: What's Needed on the Back End

Data Scientists Are Not Data Janitors

Data scientists spend up to 80% of their time1 on this 4th V, cleaning up raw data in preparation for analysis

With salaries that range upwards of $200,0002

they make very expensive data janitors

VERACITY AT WORK

Integration Harmonization Management

CAUTION

1 - Lohr, Steve. “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights” The New York Times. 17 August 2014.

2 - Rosenbush, Steve. “The Morning Download: Competition for Data Scientists Heats Up” The Wall Street Journal. 11 August 2014.

Page 17: From Big Data to Actionable Insight: What's Needed on the Back End

Leverage a Unified Cloud Platform

A Unified Cloud Data Integration and Data Management Platform like Liaison enables focus on the insights:

SEC

UR

ITY

CO

MP

LIA

NC

E

Data Management

Data Integration & Harmonization

Big Data Storage & Computation

Data Visualization

Structured Unstructured Semi-structured

VOLUME VELOCITY VARIETY

DATA

Page 18: From Big Data to Actionable Insight: What's Needed on the Back End

Leverage a Unified Cloud Platform

A Unified Cloud Data Integration and Data Management Platform like Liaison enables focus on the insights:

SEC

UR

ITY

CO

MP

LIA

NC

E

Data Management

Data Integration & Harmonization

Big Data Storage & Computation

Data Visualization

Structured Unstructured Semi-structured

VOLUME VELOCITY VARIETY

DATA

VERACITY

Page 19: From Big Data to Actionable Insight: What's Needed on the Back End

Leverage a Unified Cloud PlatformThe data is now ready for analysis and BI:

Analytics & Business Intelligence

SEC

UR

ITY

CO

MP

LIA

NC

E

Data Management

Data Integration & Harmonization

Big Data Storage & Computation

Data Visualization

Structured Unstructured Semi-structured

VOLUME VELOCITY VARIETY

DATA

VERACITY

Page 20: From Big Data to Actionable Insight: What's Needed on the Back End

Industry Examples

Page 21: From Big Data to Actionable Insight: What's Needed on the Back End

Cloud Fostered Collaboration

SEC

UR

ITY

Analytics & Business Intelligence

Data Management

Data Integration & Harmonization

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

E

Genomics Proteomics

Clinical

Pre-clinical

Real World Evidence-based

Data

HIP

AA

Page 22: From Big Data to Actionable Insight: What's Needed on the Back End

Cloud Fostered Collaboration

SEC

UR

ITY

Analytics & Business Intelligence

Data Integration & Harmonization

Data Management

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

E

Genomics Proteomics

Clinical

Pre-clinical

Real World Evidence-based

Data

HIP

AA

Harmonize Data Sets

Page 23: From Big Data to Actionable Insight: What's Needed on the Back End

Leveraging Historical Data Sets

SEC

UR

ITY

Analytics & Business Intelligence

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

EH

IPA

ADecades of Historical

Compound Data

Data Management

Data Integration & Harmonization

Page 24: From Big Data to Actionable Insight: What's Needed on the Back End

Leveraging Historical Data Sets

SEC

UR

ITY

Analytics & Business Intelligence

Data Integration & Harmonization

Data Management

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

EH

IPA

AHarmonize Historical Data for Use in New Research

Decades of Historical

Compound Data

Page 25: From Big Data to Actionable Insight: What's Needed on the Back End

Contextual Discovery

SEC

UR

ITY

Analytics & Business Intelligence

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

E

Data Integration & Harmonization

Data Management

Page 26: From Big Data to Actionable Insight: What's Needed on the Back End

Contextual Discovery

SEC

UR

ITY

Analytics & Business Intelligence

Data Integration & Harmonization

Data Management

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

ETranslation & Context Discovery

Page 27: From Big Data to Actionable Insight: What's Needed on the Back End

SEC

UR

ITY

Analytics & Business Intelligence

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

E

Unified Data Analytics

Data Integration & Harmonization

Data Management

Page 28: From Big Data to Actionable Insight: What's Needed on the Back End

SEC

UR

ITY

Analytics & Business Intelligence

Data Integration & Harmonization

Data Management

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

EHarmonizing Web Analytics Data

Unified Data Analytics

Page 29: From Big Data to Actionable Insight: What's Needed on the Back End

Unified Streaming Comparison

SEC

UR

ITY

Analytics & Business Intelligence

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

E

Data Integration & Harmonization

Data Management

Page 30: From Big Data to Actionable Insight: What's Needed on the Back End

Unified Streaming Comparison

SEC

UR

ITY

Analytics & Business Intelligence

Data Integration & Harmonization

Data Management

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

EHarmonizing Movie & Audience Data

Page 31: From Big Data to Actionable Insight: What's Needed on the Back End

Integrated Supply Chain

SEC

UR

ITY

Analytics & Business Intelligence

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

EP

CI D

SS

Orders

Catalog

Financial

Logistics

Data Integration & Harmonization

Data Management

Page 32: From Big Data to Actionable Insight: What's Needed on the Back End

Integrated Supply Chain

SEC

UR

ITY

Analytics & Business Intelligence

Data Integration & Harmonization

Data Management

Big Data Storage & Computation

Data Visualization

CO

MP

LIA

NC

EP

CI D

SS

Orders

Catalog

Financial

Logistics

Harmonized Supply Chain Data

Page 33: From Big Data to Actionable Insight: What's Needed on the Back End

In Review

Page 34: From Big Data to Actionable Insight: What's Needed on the Back End

Unified Cloud Platform for your Big Data Initiative

Scalability

Streamlined Operations

Time to Insight Elasticity

Accessibility

Better ROI

Your Big Data Complexity Buffer

Page 35: From Big Data to Actionable Insight: What's Needed on the Back End

Focus on Business Insights

Allow a unified cloud platform to buffer the complexities of…

1

So that you can focus on gaining insight from the data

2

Analytics & Business Intelligence

SEC

UR

ITY

CO

MP

LIA

NC

EData Management

Data Integration & Harmonization

Big Data Storage & Computation

Data Visualization

Structured Unstructured Semi-structured

DATA

VALUE

Page 36: From Big Data to Actionable Insight: What's Needed on the Back End

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