The 5 Essential Big Data Use Cases November 20, 2013

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The 5 Essential Big Data Use Cases

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Hosted by

Chris Carpenter

Vivit Leader Seattle Chapter

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Today’s Presenter

Mark Laughlin

Sr. Practice Director IM&A (Big Data) Avnet

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Housekeeping

• This “LIVE” session is being recorded

Recordings are available to all Vivit members

• Session Q&A:

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Mark Laughlin, Avnet Services Sr Practice Director, IM&A November 20, 2013

Welcome

The 5 Essential

Big Data Analytics

Use Cases

Information Management

and Analytics - IM&A (Big Data)

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Big Data & Analytics Overview

Data Processing Apps/Files Data - Entries - Content What/When? Descriptive "Big" Data ERP/RDBMS/EDW/BI Information - Transactions - Meaning Who/Where/How? Predictive "Big Data" Cloud/Big Data/Mobile Insight - Events - Context Why? Prescriptive

Big Data & Analytics

The Evolution of Data Value 1.0 Data 2.0 Information 3.0 Insight

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Legacy Challenges are Big Data Opportunities

- Storage - Capacity, complete data sets?

- Scale - Growth, internal/external data sources? - Speed - Performance, right time/real time?

- Integrations - Workflows, multiple/complex ETL’s?

- Analytics - Value, business requirements/outcomes?

- The big deal about Big Data

is getting more value more

quickly from more data, at a lower cost and with greater

agility

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Big Data

begins with

Storage and Data Sources

Every company’s legacy big data problem:

- Older data is archived and cannot be queried

- Other data is misplaced, lost and cannot be found

- Fragmented data is scattered and cannot be aggregated

- Unidentified data is not defined and cannot be collected

- Discarded data is deleted too early and cannot be recovered

- Insufficient Storage and Data Management creates missed opportunities to extract insights and value from data sources

either “in hand” or “within reach”

- Data Logistics is the most difficult part of Big Data & Analytics

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Legacy Challenges are Big Data Opportunities

- The big deal about Big Data

is getting more value more

quickly from more data, at a lower cost and with greater

agility

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Legacy Big Data Use Case – eBay

- Requirements

- More data for historical trends - Quicker, more timely reports - Greater depth of analysis

- Use proven technology, x86 servers

- Retain operational queries and data sources

- Average query performance improved from 5 min to 10 sec

- Average trends were increased from 1 year to 12 years of history

- Achieved higher customer service levels with new analytics

Reference: “Big Data and working with what you have” TechRepublic - October 2, 2013

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eBay runs on HP

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Information Management

and Analytics - IM&A (Big Data)

The 5 Enterprise

Big Data Analytics

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The 5 Enterprise Big Data Analytics Use Cases

- Insight, Correlation and Context

- Oversight, Enterprise Security and Operations

- Low Latency, Right Time and Real Time

- External and Multi-Structured Data Sources

- Exploration and Discovery

- The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility

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Insight

Higher Education

- Rising student debt and costs

- Falling completion rates and state funding

- Aggregate data on student enrollment and withdrawal patterns and monitor systems to see how students are interacting with digital content, professors and peers

- Optimize student performance and the allocation of institution resources

- Improve overall outcomes with lower costs, increased enrollments and decreased attrition rates

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Oversight

Threat Assessment and Risk Management

- New security risks with BYOD, Cloud, Mobile, Social Apps, as well as more advanced and complex intrusion methods - Increased costs of failure in a connected world

- Monitor systems to detect and identity internal and external advanced persistent threats (APT’s)

- Correlate massive log data, provide real-time analysis and actionable intelligence

- Proactively decrease the risk of negative business impact and disruption to critical services

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Low Latency

Healthcare – Clinical outcomes

- Continuous data capture from all medical instruments vs manual readings every few hours

- Inflight data analysis from several different points of view - Clinical decisions made in real-time

- Premature babies demonstrate signs of infection in changes in their heart rate up to 24 hours before an infection takes hold - 25% will end up with infections and 10% of those will die

- Real-time diagnosis and action saves lives

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External and Multi-Type Data Sources

Entertainment and Media - Customer Sentiment Analysis

- Traditional segmentation is no longer sufficient

- Twitter, Facebook, Internet trailers create consumer feedback - Sentiment analysis distinguishes positive and negative

opinion

- Analyze audience reaction for critical decision making

- Incorporate findings into future project planning and action

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Exploration and Discovery

Life Sciences – Genomics

- Holistic comparison of 78 TB of stem cell RNA samples - Gathered data, developed algorithms

- Tested iterations, ran comparison - Built research DB

- Foundation for discovery and clinical development

- Processing time from “impossible” to 8 hours

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The 5 Enterprise Big Data Analytics Use Cases

- Insight, Correlation and Context

- Oversight, Enterprise Security and Operations

- Low Latency, Right Time and Real Time

- External and Multi-Structured Data Sources

- Exploration and Discovery

- The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility

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Big Data & Analytics Overview

Data Processing Apps/Files Data - Entries - Content What/When? Descriptive "Big" Data RDBMS/EDW/BI Information - Transactions - Meaning Who/Where/How? Predictive "Big Data" Cloud/Big Data/Mobile Insight - Events - Context Why? Prescriptive

Big Data & Analytics

The Evolution of Data Value 1.0 Data 2.0 Information 3.0 Insight

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Legacy Challenges are Big Data Opportunities

- The big deal about Big Data

is getting more value more

quickly from more data, at a lower cost and with greater

agility

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Mark Laughlin, Avnet Services (650) 350-0339 [email protected]

Thank You

The 5 Enterprise

Big Data Analytics

Use Cases

Information Management

and Analytics - IM&A (Big Data)

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The 5 Essential Big Data Use Cases November 20, 2013