© 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data...

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© 2013 IBM Corporation Big Data & Analytics Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform

Transcript of © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data...

Page 1: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation

Big Data & Analytics

Big Data & Analytics

Felipe Arentsen

Technical Sales Specialist for Big Data Platform

Page 2: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Hemos pasado el tiempo solucionando problemas y dejamos oportunidades sin

explotar todos los días

Hemos pasado el tiempo solucionando problemas y dejamos oportunidades sin

explotar todos los días

Page 3: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Engagement changes our expectations

Data is the new basis of competitive advantage

Cloud is the path to new business models

(Why)

(What)

(How) Data is the new basis of competitive advantage

Page 4: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation4

Big Data & Analytics

4BM Global CEO Study.

Page 5: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation5

Big Data & Analytics

555

Business Analytics 83%

Virtualization 76%

Risk Management & Compliance 71%

Mobility Solutions 68%

Customer & Partner Collaboration 68%

Self-service Portals 66%

Application Harmonization 64%

Business Process Management 64%

SOA / Web Services 61%

Unified Communications 60%

Es la primeroa preocupación del CIO

IBM Global CIO Study.

Page 6: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Front runners reap great rewards

69%of front runners created a significant positive impact on business outcomes using data and analytics in the past three years2

60%of front runners created a significant positive impact on revenues using data and analytics in the past three years2

53%of front runners created a significant competitive advantage using data and analytics2

Analytics pays back $13.01 for every dollar spent1

250% is the ROI of solutionsthat incorporate predictive analytics

1 Analytics Pays Back $13.01 for Every Dollar Spent” Nucleus Research, September 2014 2 Analytics: The speed advantage” IBM Institute for Business Value, 2014

Page 7: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation7

Big Data & Analytics

IBM’s Commitment to Big Data

IBM CEO Says ‘Big Data’ Is Company’s Top PriorityIBM CEO Says ‘Big Data’ Is Company’s Top PriorityIBM CEO Says ‘Big Data’ Is Company’s Top Priority

$16 Billion in Big Data acquisitions – 35 new acquisitions in the last 5 years

More than 1000 developers focused on Big Data technology development

2014 IBM joins Apple & Twitter in strategic partnerships

Largest patent portfolio in the industry

IBM has the largest commercial research organization on Earth

200+ mathematicians developing breakthrough analytics

IBM’s Big Data Business grew over 150% in 2014

More than 70,000 downloads BigInsights QuickStart Edition

Page 8: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

FleetRisk Advisors helps trucking operators prevent accidents by building stronger and faster risk prediction models

80% reduction in serious accidents

20% reduction in minor accidents

30% increase in driver retention rates

Page 9: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Vestas turns climate into capital, optimizing turbine placement with big data

97% faster response times for wind forecasting information

40% reduction in energy consumption

Cuts cost per kilowatt hour increasing ROI

Page 10: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

USD150,000 reduction in the cost of unnecessary neonatal surgery

USD24,000 reduction in hospital costs per neonatal bed per year

24 hours advance in real-time alerts to begin antibiotics and other treatment

for premature infants

Children’s hospital strives to accelerate health warning alerts for premature infants

Page 11: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Life insurer in Japan pays customers with greater speed and accuracy using content analytics to standardize medical terms

22% fewer mistakenly unpaid claims—from 435 cases to 339 in the first year

90% accuracy in coding medical terms and treatments during claim assessment

20% reduction in assessment workforce, saving several hundred million yen each

year

Page 12: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

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Big Data & Analytics

Big Data is All Data in All Data Repositories

Transactional & Application Data

Machine Data Social Data

• Volume

• Structured

• Throughput

• Velocity

• Semi-structured

• Ingestion

• Variety

• Highly unstructured

• Veracity

Enterprise Content

• Variety

• Highly unstructured

• Volume

¿Qué es “Big Data & Analytics”?

Page 13: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation13

Big Data & Analytics

Imagine la posibilidad de analizar toda la data

Real-time Traffic Flow Optimization

Fraud & risk detection

Accurate and timely threat

detection

Predict and act on intent to purchase

Understand and act on customer

sentiment

Low-latency network analysis

Page 14: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation14

Big Data & Analytics

Merging the Traditional and Big Data Approaches

IT

Structures the data to answer that question

IT

Delivers a platform to enable creative discovery

Business

Explores what questions could be asked

Business Users

Determine what question to ask

Monthly sales reportsProfitability analysisCustomer surveys

Brand sentimentProduct strategyMaximum asset utilization

Big Data ApproachIterative & Exploratory Analysis

Traditional ApproachStructured & Repeatable Analysis

Page 15: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

IBM ANALYTICS PLATFORM

Discovery & Exploration

Prescriptive Analytics

Streaming Analytics

Business Intelligence & Predictive Analytics

Content Analytics

Information Integration & Governance

Data Management

Content Management

Hadoop System

Data Warehousing

The IBM analytics platform

Breadth & depthof analytics

Data integration& governance

Hybrid & fluidarchitecture

Open & unifiedplatform

Create a new data foundation for the

business

Prepare data for analytics

Predict the future for the business

Align data management strategy with customer

expectations

Delight customers by understanding

them better

Derive business value from unstructured

content

Page 16: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Page 17: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Analíticas cognitivas

Page 18: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation18

Big Data & Analytics

Leveraging analytics still faces many obstacles

Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute for Business Value study. Copyright © Massachusetts Institute of Technology

have a limited understanding of how to use analytics

38%

Self-service analytics and expectations to drive better data-driven decisions are rising

of the time is spent on data preparation

80%Making decisions rapidly is no longer a goal; it’s an imperative

find it difficult to get data24%Access to requireddata sources is critical while maintaining governance standards

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Big Data & Analytics

Even a simple analytics project has multiple steps and people

Data Access

Data Preparation

Analysis

Validation

Collaboration

Reporting

Data Scientists and Statisticians

Business Users

ITBusiness Analysts

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© 2013 IBM Corporation20

Big Data & Analytics

And it’s rarely a straightforward process

Data Access

Data Preparation

Analysis

Validation

Collaboration

Reporting

Data Scientists and StatisticiansBusiness Users

ITBusiness Analysts

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© 2013 IBM Corporation21

Big Data & Analytics

Fully AutomatedIntelligence

Natural LanguageDialogue

Guided AnalyticDiscovery

Single AnalyticsExperience

IBM Watson AnalyticsSelf-service analytics capabilities in the cloud

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© 2013 IBM Corporation22

Big Data & Analytics

A new way to work

Get Better DataGet Better Data

Understand Your

Business

Understand Your

Business

Think AheadThink Ahead

Tell a StoryTell a Story

Page 23: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation23

Big Data & Analytics

Single Interface … Explore > Predict > Assemble

Quick start intuitive interface

Quick start intuitive interface

Key business driver insightsKey business driver insights

Dashboard and

storytelling authoring

Dashboard and

storytelling authoring

Natural language dialogue

Natural language dialogue

Easy data upload and Refinement capabilities

Easy data upload and Refinement capabilities

Page 24: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation24

Big Data & Analytics

Business Analysts

Data Scientists

Self-sufficiency for business users and experts alike

Business Users

IBM Watson Analytics

http://www.ibm.com/analytics/watson-analytics/

Page 25: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

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Big Data & Analytics

Cognos Overview

Page 26: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation26

Big Data & Analytics

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Cognos

Unified BI workspace that seamlessly progresses to follow a train of thought

Sales MgrBusiness Analyst

ExecutiveBus. User

Page 27: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

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Big Data & Analytics

Elegant user interface

Personalize your background

Arrange content how you want it

Rename your workspaces

Easy to use

Automatic server configuration

Connect to multiple servers

Preview report without opening

Track progress, pause & restart your downloads

Embedded end-user how-to tutorials

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IBM Cognos MobileCognos Mobile

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Big Data & Analytics

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Cognos for Microsoft OfficeCommunicate BI content in standard MS Office formats

Import BI content into MS Office tools and add additional context for presentations and briefing books

Solution highlights:

Create and distribute briefing books

Refresh BI content directly within MS Office tools

Modify and share BI content using familiar applications

Publish and share Cognos-enabled files to the secure BI portal

Page 29: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM CorporationApril 22, 2023

Cognos Insight - Desktop

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Big Data & Analytics

Sample Visualizations

Page 31: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Certify a standard “ODP Core” set of open source Hadoop family projects with specific versions and patch levels

Develop tools and methods to help solution providers to test applications against the ODP Core.

Contribute changes and fixes in the ODP Core Hadoop family projects to the ASF using the ASF processes.

Page 32: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation32

Big Data & Analytics

Open Data Platform Initiative

Representation across the Hadoop ecosystem…

• Hadoop distribution vendors

• Software application providers

• System integrators/consultants

• Hardware vendors

• Customers

… who all believe in the need for a community-based effort to standardize Hadoop, which will lead to improved adoption

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Big Data & Analytics

Text AnalyticsText Analytics

POSIX Distributed File SystemPOSIX Distributed File System

Multi-workload, Multi-tenant scheduling

Multi-workload, Multi-tenant scheduling

IBM BigInsights Enterprise Management

Machine Learningwith Big R

Machine Learningwith Big R

Big RBig R

IBM Open Platform with Apache Hadoop

IBM BigInsights Data Scientist

IBM BigInsights Analyst

Big SQLBig SQL

BigSheetsBigSheets

Big SQLBig SQL

BigSheetsBigSheets

for Apache Hadoop

IBM BigInsights for Apache Hadoop

Page 34: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation34

Big Data & Analytics

Spark Technology Center

Focal point for IBM investment in Spark• Code contributions to Apache Spark project• Build industry solutions using Spark• Evangelize Spark technology inside/outside IBM

Agile engagement across IBM divisions• Systems: contribute enhancements to Spark core, and optimized infrastructure

(hardware/software) for Spark• Analytics: IBM Analytics software will exploit Spark processing• Research: build innovations above (solutions that use Spark), inside (improvements to

Spark core), and below (improve systems that execute Spark) the Spark stack

Goal: To be the #1 contributor and adopter in the Spark ecosystem

Page 35: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

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Big Data & Analytics

Los datos de Twitter son ofrecidos con servicios en la nube de la plataforma de IBM Big Data & Analytics

for BusinessUsers andAnalysts

for Developers, Data Professionalsand Scientists

• Watson Analytics• Social Media Analytics

• IBM DataWorks• IBM BigInsights for Cloud• IBM Bluemix Cloud• IBM Watson Developer Cloud

Big Insights

Page 36: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation36

Big Data & Analytics

Page 37: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2015 IBM Corporation

Hemos pasado el tiempo solucionando problemas y dejamos oportunidades sin explotar

todos los días

Es tiempo de aprovechar este momento!

Hemos pasado el tiempo solucionando problemas y dejamos oportunidades sin explotar

todos los días

Es tiempo de aprovechar este momento!

Page 38: © 2013 IBM Corporation Big Data & Analytics Felipe Arentsen Technical Sales Specialist for Big Data Platform.

© 2013 IBM Corporation38

Big Data & Analytics

[email protected]

@arentsen