Customer Event Hub. The modern Customer 360 View. Guido

Size: px
Start display at page:

Download "Customer Event Hub. The modern Customer 360 View. Guido"

Transcription

1 Customer Event Hub The modern Customer 360 View Guido BASEL BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH

2 Guido Schmutz Working for Trivadis for more than 19 years Oracle ACE Director for Fusion Middleware and SOA Co-Author of different books Consultant, Trainer, Software Architect for Java, SOA & Big Data / Fast Data Member of Trivadis Architecture Board Technology Trivadis More than 25 years of software development experience Contact: guido.schmutz@trivadis.com Blog: Slideshare: Twitter: gschmutz 2

3 Our company. Trivadis is a market leader in IT consulting, system integration, solution engineering and the provision of IT services focusing on and technologies in Switzerland, Germany, Austria and Denmark. We offer our services in the following strategic business fields: O P E R A T I O N Trivadis Services takes over the interacting operation of your IT systems. 3

4 With over 600 specialists and IT experts in your region. COPENHAGEN HAMBURG 14 Trivadis branches and more than 600 employees 200 Service Level Agreements Over 4,000 training participants DÜSSELDORF Research and development budget: CHF 5.0 million FRANKFURT Financially self-supporting and sustainably profitable BASEL FREIBURG STUTTGART BRUGG ZURICH MUNICH VIENNA Experience from more than 1,900 projects per year at over 800 customers GENEVA BERN LAUSANNE 4

5 Customer 360 View - Introduction 5

6 Why Customer 360 View? Get closer than ever to your q Enhance customer service customers. So close that you tell q Provides real-time personalization them what they need well before q Opens doors to new applications they realize it themselves. q Increases security Steve Jobs, Apple q Lowers operational costs q Increases operational efficiency 6

7 Customer 360 : Experience Expectations Consistent Across all channels, brands and devices Personalized To reflect preferences and aspiration Contextualized To present location and circumstances Relevant In the moment to customer s needs and expectations 7

8 Customer 360 : Experience Expectations 8

9 A Sample Customer 360 Profile Who are you? Who do you know? Where are you? What can you afford? What have you purchased? What is your value to the business? What content do you prefer? How / why have you contacted us? 9

10 Customer 360 Screen Mocks Source: Oracle Source: Adacta Group Source: Canopy Labs 10

11 Customer 360 Key Use Cases Target Marketing & Personalization Churn Prevention & Customer Retention Proactive Care Customer micro segmentation Next Best Offer Campaign Analytics Geo-Location Analytics Recommendation Models Churn Modeling & Prediction Rotational / Social Churn Customer Lifetime Value Sentiment Analytics Price Elasticity Modeling Proactive Care Dashboard Customer Lifetime Value Subscriber Analytics QoS Analytics Real-Time Alerts 11

12 From Static to Dynamic, Real-Time Micro-Segmentation Traditional Segmentation Age Gender Average Spend Price Plans Usage History Data, Voice, Text Billing History Device Upgrade Age Gender Average Spend Price Plans Usage History Data, Voice, Text Billing History Device Upgrade Device History Other products / services Bundling preferences Offer History Campaign Adoption History Call Center Tickets Real-Time Micro- Segmentation Location Social Influence Applications Used Content Preferences Usage Details Roaming Analysis Travel Patterns QoS History Household Analysis Lifetime Value Churn Score Clickstream Info Channel Preferences Survey 12

13 Customer 360 View: Know your Customer 13

14 Customer 360 View - Challenges 14

15 Key Challenges in Driving a Customer 360 View Data Silos Data Volumes Multiple Data Silos Often store overlapping and conflicting information Data growing rapidly Internet of Things will add to that substantially New Data Sources Costs of Data Processing Clickstream Location/GPS Call center Records Social Media Semi/Un-Structured Data Sources Streaming / Real-time data Critical for building a true 360 view Cost prohibitive Cost of storing data in relational database systems per year 15

16 Customer 360 View - Traditional Flow Diagram Billing & Ordering ETL / Stored Procedures CRM / Profile Segmentation & Churn Analysis Marketing Campaigns Enterprise Data Warehouse Location Data Marts / Aggregations BI Tools Social Marketing Offers Clickstream 16

17 Customer 360 View - Traditional Flow Diagram Billing & Ordering ETL / Stored Procedures CRM / Profile Segmentation & Churn Analysis Marketing Campaigns Other / New Data Sources Location Social High Clickstream Voume and Velocity Does not model easily to traditional database schema Limited Processin g Power Data Marts / Aggregations Limited Processin g Power Loss in Fidelity Enterprise Data Warehouse Storage Scaling very expensive Based on sample / limited data BI Tools Marketing Offers 17

18 Customer 360 View: Why status quo won t work? Data Data Analyst Analyst Data Data Analyst Analyst Most organizations have a static version of the customer profile in their data warehouse Mainly structured data Only internal data Only important data Only limited history Data Analyst Activity data clickstream data, content preferences, customer care logs are kept in siloes or not kept at all Detailed Customer Activity Data sits in silos! 18

19 Customer 360 View Big Data Platform to the Resuce? 19

20 Customer 360 View Flow with Big Data Hub Enterprise Data Warehouse Billing & Ordering CRM / Profile Marketing Campaigns Hadoop Clusterd Hadoop Cluster Hadoop Cluster SQL BI Tools Parallel Processing Search Search Location Social Click stream Mobile Apps Weather Data Call Center Data Flow Event Event Event Hub Hub Hub Distributed Filesystem NoSQL Machine Learning Graph Algorithms Natural Language Processing Online & Mobile Apps Sensor Data 20

21 Customer Event Hub taking Velocity into account Enterprise Data Warehouse Billing & Ordering File Import / SQL Import Hadoop Clusterd Hadoop Cluster Hadoop Cluster CRM / Profile Marketing Campaigns Event Event Event Hub Hub Hub Distributed Filesystem Parallel Processing NoSQL Batch Analytics SQL Search BI Tools Search Location Mobile Apps Streaming Analytics Social Weather Data Stream Analytics NoSQL Online & Mobile Apps Click stream Call Center Reference / Dashboard Models Sensor Data 21

22 Big Data Ecosystem Lot s of choices? 22 Hadoop Ecosystem Hadoop Ecosystem & Distributions

23 Big Data Ecosystem Sorted J 23 Hadoop Ecosystem Hadoop Ecosystem & Distributions

24 Customer Event Hub Technologies Mapping Enterprise Data Warehouse Billing & Ordering SQL Import Hadoop Clusterd Hadoop Cluster Hadoop Cluster CRM / Profile Marketing Campaigns Event Event Event Hub Hub Hub Distributed Filesystem Parallel Processing NoSQL Batch Analytics SQL Search BI Tools Search Location Mobile Apps Streaming Analytics Social Weather Data Stream Analytics NoSQL Online & Mobile Apps Click stream Call Center Reference / Dashboard Models Sensor Data 24

25 Integrate Sanitize / Normalize Deliver Enterprise Data Warehouse Billing & Ordering SQL Import Hadoop Clusterd Hadoop Cluster Hadoop Cluster CRM / Profile Marketing Campaigns Event Event Event Hub Hub Hub Distributed Filesystem Parallel Processing NoSQL Batch Analytics SQL Search BI Tools Search Location Mobile Apps Streaming Analytics Social Stream Analytics NoSQL Online & Mobile Apps Click stream Call Center Reference / Sensor Data Weather Data Models 25 Dashboard

26 A Spectrum of Big Data Use Cases Optimize Transform Business Impact Entry Data Warehouse Optimization Big Data Exploration Streamline Data Refinery Monetize My ata On Demand Big Data Blending Harnessing Machine & Sensor Data Use Case Complexity Customer 360 Degree View Big Data Predictive Analytics Next Generation Applications Advanced 26

27 Various forms of 360 Views qaccount 360 qsupplier 360 qconsumer 360 qproduct 360 qasset / IP 360 qspend 360 qkey Opinion Leader 360 qsensor / Device

28 DOAG 2016 Booth: 3rd Floor next to the escalator Know how, T-Shirts, Contest and Trivadis Power to go We look forward to your visit Because with Trivadis you always win! 28

Oracle Stream Analytics

Oracle Stream Analytics Oracle Stream Analytics Ereignisverarbeitung leicht(er) gemacht! Guido Schmutz BASEL BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH

More information

Common Customer Use Cases in FSI

Common Customer Use Cases in FSI Common Customer Use Cases in FSI 1 Marketing Optimization 2014 2014 MapR MapR Technologies Technologies 2 Fortune 100 Financial Services Company 104M CARD MEMBERS 3 Financial Services: Recommendation Engine

More information

Architected Blended Big Data With Pentaho. A Solution Brief

Architected Blended Big Data With Pentaho. A Solution Brief Architected Blended Big Data With Pentaho A Solution Brief Introduction The value of big data is well recognized, with implementations across every size and type of business today. However, the most powerful

More information

How Data Science is Changing the Way Companies Do Business Colin White

How Data Science is Changing the Way Companies Do Business Colin White How Data Science is Changing the Way Companies Do Business Colin White BI Research July 17, 2014 Sponsor 2 Speakers Colin White President, BI Research Bill Franks Chief Analytics Officer, Teradata 3 How

More information

Hortonworks Powering the Future of Data

Hortonworks Powering the Future of Data Hortonworks Powering the Future of Simon Gregory Vice President Eastern Europe, Middle East & Africa 1 Hortonworks Inc. 2011 2016. All Rights Reserved MASTER THE VALUE OF DATA EVERY BUSINESS IS A DATA

More information

Big Data The Big Story

Big Data The Big Story Big Data The Big Story Jean-Pierre Dijcks Big Data Product Mangement 1 Agenda What is Big Data? Architecting Big Data Building Big Data Solutions Oracle Big Data Appliance and Big Data Connectors Customer

More information

From Information to Insight: The Big Value of Big Data. Faire Ann Co Marketing Manager, Information Management Software, ASEAN

From Information to Insight: The Big Value of Big Data. Faire Ann Co Marketing Manager, Information Management Software, ASEAN From Information to Insight: The Big Value of Big Data Faire Ann Co Marketing Manager, Information Management Software, ASEAN The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT

More information

MapR: Converged Data Pla3orm and Quick Start Solu;ons. Robin Fong Regional Director South East Asia

MapR: Converged Data Pla3orm and Quick Start Solu;ons. Robin Fong Regional Director South East Asia MapR: Converged Data Pla3orm and Quick Start Solu;ons Robin Fong Regional Director South East Asia Who is MapR? MapR is the creator of the top ranked Hadoop NoSQL SQL-on-Hadoop Real Database time streaming

More information

The Internet of Things Wind Turbine Predictive Analytics. Fluitec Wind s Tribo-Analytics System Predicting Time-to-Failure

The Internet of Things Wind Turbine Predictive Analytics. Fluitec Wind s Tribo-Analytics System Predicting Time-to-Failure The Internet of Things Wind Turbine Predictive Analytics Fluitec Wind s Tribo-Analytics System Predicting Time-to-Failure Big Data and Tribo-Analytics Today we will see how Fluitec solved real-world challenges

More information

Operational Hadoop and the Lambda Architecture for Streaming Data

Operational Hadoop and the Lambda Architecture for Streaming Data Operational Hadoop and the Lambda Architecture for Streaming Data 2015 MapR Technologies 2015 MapR Technologies 1 Topics From Batch to Operational Workloads on Hadoop Streaming Data Environments The Lambda

More information

MapR: Solution for Customer Production Success

MapR: Solution for Customer Production Success 2015 MapR Technologies 2015 MapR Technologies 1 MapR: Solution for Customer Production Success Big Data High Growth 700+ Customers Cloud Leaders Riding the Wave with Hadoop The Big Data Platform of Choice

More information

Real-time Streaming Insight & Time Series Data Analytic For Smart Retail

Real-time Streaming Insight & Time Series Data Analytic For Smart Retail Real-time Streaming Insight & Time Series Data Analytic For Smart Retail Sudip Majumder Senior Director Development Industry IoT & Big Data 10/5/2016 Economic Characteristics of Data Data is the New Oil..then

More information

Simplifying the Process of Uploading and Extracting Data from Apache Hadoop

Simplifying the Process of Uploading and Extracting Data from Apache Hadoop Simplifying the Process of Uploading and Extracting Data from Apache Hadoop Rohit Bakhshi, Solution Architect, Hortonworks Jim Walker, Director Product Marketing, Talend Page 1 About Us Rohit Bakhshi Solution

More information

E-guide Hadoop Big Data Platforms Buyer s Guide part 1

E-guide Hadoop Big Data Platforms Buyer s Guide part 1 Hadoop Big Data Platforms Buyer s Guide part 1 Your expert guide to Hadoop big data platforms for managing big data David Loshin, Knowledge Integrity Inc. Companies of all sizes can use Hadoop, as vendors

More information

Big Data Anwendungsfälle aus dem Bereich der digitalen Medien

Big Data Anwendungsfälle aus dem Bereich der digitalen Medien Presented by Kate Tickner Date 12 th October 2012 Big Data Anwendungsfälle aus dem Bereich der digitalen Medien Using Big Data and Smarter Analytics to Increase Consumer Engagement Dramatic forces affecting

More information

Copyright - Diyotta, Inc. - All Rights Reserved. Page 2

Copyright - Diyotta, Inc. - All Rights Reserved. Page 2 Page 2 Page 3 Page 4 Page 5 Humanizing Analytics Analytic Solutions that Provide Powerful Insights about Today s Healthcare Consumer to Manage Risk and Enable Engagement and Activation Industry Alignment

More information

Evolution to Revolution: Big Data 2.0

Evolution to Revolution: Big Data 2.0 Evolution to Revolution: Big Data 2.0 An ENTERPRISE MANAGEMENT ASSOCIATES (EMA ) White Paper Prepared for Actian March 2014 IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Table of Contents

More information

DLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies

DLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies DLT Stack Powering big data, analytics and data science strategies for government agencies Now, government agencies can have a scalable reference model for success with Big Data, Advanced and Data Science

More information

Microsoft Azure Essentials

Microsoft Azure Essentials Microsoft Azure Essentials Azure Essentials Track Summary Data Analytics Explore the Data Analytics services in Azure to help you analyze both structured and unstructured data. Azure can help with large,

More information

Data Analytics. Nagesh Madhwal Client Solutions Director, Consulting, Southeast Asia, Dell EMC

Data Analytics. Nagesh Madhwal Client Solutions Director, Consulting, Southeast Asia, Dell EMC Data Analytics Nagesh Madhwal Client Solutions Director, Consulting, Southeast Asia, Dell EMC Last 15 years IT-centric Traditional Analytics Traditional Applications Rigid Infrastructure Internet Next

More information

Operational Intelligence in Industrial Environments

Operational Intelligence in Industrial Environments Copyright 2014 Splunk Inc. Operational Intelligence in Industrial Environments Brian Gilmore, Splunk bgilmore@splunk.com @brianmgilmore Safe Harbor Statement During the course of this presentation, we

More information

Boston Azure Cloud User Group. a journey of a thousand miles begins with a single step

Boston Azure Cloud User Group. a journey of a thousand miles begins with a single step Boston Azure Cloud User Group a journey of a thousand miles begins with a single step 3 Solution Architect at Slalom Boston Business Intelligence User Group Leader I am a bit shy but passionate. BI Architect

More information

Tech Mahindra s Cloud Platform and PaaS Offering. Copyright 2015 Tech Mahindra. All rights reserved.

Tech Mahindra s Cloud Platform and PaaS Offering. Copyright 2015 Tech Mahindra. All rights reserved. Tech Mahindra s Platform and PaaS Offering 1 Issues impacting today s Enterprises? Coping with new hardware requirements as the enterprise grows Growing number of stakeholders with various requirements

More information

Cloud Integration and the Big Data Journey - Common Use-Case Patterns

Cloud Integration and the Big Data Journey - Common Use-Case Patterns Cloud Integration and the Big Data Journey - Common Use-Case Patterns A White Paper August, 2014 Corporate Technologies Business Intelligence Group OVERVIEW The advent of cloud and hybrid architectures

More information

ETL challenges on IOT projects. Pedro Martins Head of Implementation

ETL challenges on IOT projects. Pedro Martins Head of Implementation ETL challenges on IOT projects Pedro Martins Head of Implementation Outline What is Pentaho Pentaho Data Integration (PDI) Smartcity Copenhagen Example of Data structure without an OLAP schema Telematics

More information

Trusted by more than 150 CSPs worldwide.

Trusted by more than 150 CSPs worldwide. RAID is a platform designed for Communication Service Providers that want to leverage their data assets to improve business processes and gain business insights, while at the same time simplify their IT

More information

Accelerating Your Big Data Analytics. Jeff Healey, Director Product Marketing, HPE Vertica

Accelerating Your Big Data Analytics. Jeff Healey, Director Product Marketing, HPE Vertica Accelerating Your Big Data Analytics Jeff Healey, Director Product Marketing, HPE Vertica Recent Waves of Disruption IT Infrastructu re for Analytics Data Warehouse Modernization Big Data/ Hadoop Cloud

More information

MapR Pentaho Business Solutions

MapR Pentaho Business Solutions MapR Pentaho Business Solutions The Benefits of a Converged Platform to Big Data Integration Tom Scurlock Director, WW Alliances and Partners, MapR Key Takeaways 1. We focus on business values and business

More information

Big Data: Essential Elements to a Successful Modernization Strategy

Big Data: Essential Elements to a Successful Modernization Strategy Big Data: Essential Elements to a Successful Modernization Strategy Ashish Verma Director, Deloitte Consulting Technology Information Management Deloitte Consulting Presented by #pbls14 #pbls14 Presented

More information

Harnessing the Power of Big Data to Transform Your Business Anjul Bhambhri VP, Big Data, Information Management, IBM

Harnessing the Power of Big Data to Transform Your Business Anjul Bhambhri VP, Big Data, Information Management, IBM May, 2012 Harnessing the Power of Big Data to Transform Your Business Anjul Bhambhri VP, Big Data, Information Management, IBM 12+ TBs of tweet data every day 30 billion RFID tags today (1.3B in 2005)

More information

ActualTests.C Q&A C Foundations of IBM Big Data & Analytics Architecture V1

ActualTests.C Q&A C Foundations of IBM Big Data & Analytics Architecture V1 ActualTests.C2030-136.40Q&A Number: C2030-136 Passing Score: 800 Time Limit: 120 min File Version: 4.8 http://www.gratisexam.com/ C2030-136 Foundations of IBM Big Data & Analytics Architecture V1 Hello,

More information

Disruptive Digital Technology

Disruptive Digital Technology Disruptive Digital Technology Cause, Impact and Opportunities for the Outdoor Industry Donna Burbank Managing Director, Global Data Strategy, Ltd European Outdoor Summit, Barcelona 29 September, 2016 Donna

More information

Sr. Sergio Rodríguez de Guzmán CTO PUE

Sr. Sergio Rodríguez de Guzmán CTO PUE PRODUCT LATEST NEWS Sr. Sergio Rodríguez de Guzmán CTO PUE www.pue.es Hadoop & Why Cloudera Sergio Rodríguez Systems Engineer sergio@pue.es 3 Industry-Leading Consulting and Training PUE is the first Spanish

More information

Big Data Management Best Practices for Data Lakes Philip Russom, Ph.D.

Big Data Management Best Practices for Data Lakes Philip Russom, Ph.D. Big Data Management Best Practices for Data Lakes Philip Russom, Ph.D. Senior Research Director, TDWI October 27, 2016 Sponsor 2 Speakers Philip Russom Senior Research Director for Data Management, TDWI

More information

E-Guide THE EVOLUTION OF IOT ANALYTICS AND BIG DATA

E-Guide THE EVOLUTION OF IOT ANALYTICS AND BIG DATA E-Guide THE EVOLUTION OF IOT ANALYTICS AND BIG DATA E nterprises are already recognizing the value that lies in IoT data, but IoT analytics is still evolving and businesses have yet to see the full potential

More information

Real World Use Cases: Hadoop & NoSQL in Production. Big Data Everywhere London 4 June 2015

Real World Use Cases: Hadoop & NoSQL in Production. Big Data Everywhere London 4 June 2015 Real World Use Cases: Hadoop & NoSQL in Production Ted Dunning Big Data Everywhere London 4 June 2015 1 Contact Information Ted Dunning Chief Applications Architect at MapR Technologies Committer & PMC

More information

CPET 581 E-Commerce & Business Technologies

CPET 581 E-Commerce & Business Technologies CPET 581 E-Commerce & Business Technologies Technologies for E-Commerce Marketing References: Chapter 6. E-Commerce Marketing Concepts: Social, Mobile, Local, from the text book: e-commerce: Business,

More information

Microsoft Big Data. Solution Brief

Microsoft Big Data. Solution Brief Microsoft Big Data Solution Brief Contents Introduction... 2 The Microsoft Big Data Solution... 3 Key Benefits... 3 Immersive Insight, Wherever You Are... 3 Connecting with the World s Data... 3 Any Data,

More information

SAP Big Data. Markus Tempel SAP Big Data and Cloud Analytics Services

SAP Big Data. Markus Tempel SAP Big Data and Cloud Analytics Services SAP Big Data Markus Tempel SAP Big Data and Cloud Analytics Services Is that Big Data? 2015 SAP AG or an SAP affiliate company. All rights reserved. 2 What if you could turn new signals from Big Data into

More information

Ray M Sugiarto MAPR Champion Indonesia

Ray M Sugiarto MAPR Champion Indonesia Ray M Sugiarto MAPR Champion Indonesia 0815 167 2882 2015 MapR Technologies 2015 MapR Technologies 1 Why Big Data? University of Texas: The median Fortune 1000 company could increase its revenue by more

More information

ALEXANDER PIQUER ANDERSON AMARAL. OSIsoft. OSIsoft

ALEXANDER PIQUER ANDERSON AMARAL. OSIsoft. OSIsoft ALEXANDER PIQUER OSIsoft ANDERSON AMARAL OSIsoft COMO INTEGRAR PROCESSO E INTELIGÊNCIA DE NEGÓCIOS Re-use Data Use Data Capture Data Historian/ Report Disponibilização Web e Móvel de Dashboards Corporativos

More information

Mid-Atlantic CIO Forum

Mid-Atlantic CIO Forum Mid-Atlantic CIO Forum Towson State University - March 17, 2016 Dave Rich CEO DBR & Associates Evolution of Analytics Batch Reportin g 1975 Static Reportin g Ad Hoc Query 1989 Data Warehousing Online

More information

ARCHITECTURES ADVANCED ANALYTICS & IOT. Presented by: Orion Gebremedhin. Marc Lobree. Director of Technology, Data & Analytics

ARCHITECTURES ADVANCED ANALYTICS & IOT. Presented by: Orion Gebremedhin. Marc Lobree. Director of Technology, Data & Analytics ADVANCED ANALYTICS & IOT ARCHITECTURES Presented by: Orion Gebremedhin Director of Technology, Data & Analytics Marc Lobree National Architect, Advanced Analytics EDW THE RIGHT TOOL FOR THE RIGHT WORKLOAD

More information

Next Generation OSS as a key enabler for Modern Telecoms and Enterprise Business Transformation

Next Generation OSS as a key enabler for Modern Telecoms and Enterprise Business Transformation Next Generation OSS as a key enabler for Modern Telecoms and Enterprise Business Transformation 2 Strategic Partnership IBM ~ 430.000 Employees 12 R&D labs globally ~ 100 Billion $ Revenue 5 Nobel prizes

More information

Customer Happiness Index. Actioning customer feedback. Focused decisions. Predicting behaviour.

Customer Happiness Index. Actioning customer feedback. Focused decisions. Predicting behaviour. Customer Happiness Index Actioning customer feedback. Focused decisions. Predicting behaviour. Wow experiences are all around us 2 Wow experiences are all around us 3 Wow experiences are all around us

More information

Big Data Analytics for Retail with Apache Hadoop. A Hortonworks and Microsoft White Paper

Big Data Analytics for Retail with Apache Hadoop. A Hortonworks and Microsoft White Paper Big Data Analytics for Retail with Apache Hadoop A Hortonworks and Microsoft White Paper 2 Contents The Big Data Opportunity for Retail 3 The Data Deluge, and Other Barriers 4 Hadoop in Retail 5 Omni-Channel

More information

Hybrid Data Management

Hybrid Data Management Kelly Schlamb Executive IT Specialist, Worldwide Analytics Platform Enablement and Technical Sales (kschlamb@ca.ibm.com, @KSchlamb) Hybrid Data Management IBM Analytics Summit 2017 November 8, 2017 5 Essential

More information

Architecture Overview for Data Analytics Deployments

Architecture Overview for Data Analytics Deployments Architecture Overview for Data Analytics Deployments Mahmoud Ghanem Sr. Systems Engineer GLOBAL SPONSORS Agenda The Big Picture Top Use Cases for Data Analytics Modern Architecture Concepts for Data Analytics

More information

Bringing the Power of SAS to Hadoop Title

Bringing the Power of SAS to Hadoop Title WHITE PAPER Bringing the Power of SAS to Hadoop Title Combine SAS World-Class Analytics With Hadoop s Low-Cost, Distributed Data Storage to Uncover Hidden Opportunities ii Contents Introduction... 1 What

More information

Your Big Data to Big Data tools using the family of PI Integrators

Your Big Data to Big Data tools using the family of PI Integrators 1 Your Big Data to Big Data tools using the family of PI Integrators Presented by Martin Bryant Field Service Engineer @osisoft PI Integrators PI Integrator for Business Analytics PI Integrator for Business

More information

Analytics in Telecom Operations. Whitepaper

Analytics in Telecom Operations. Whitepaper Analytics in Telecom Operations Whitepaper Contents 1. Need of Analytics for Telecom Operators 3 2. Science in Telecom 3 2.1. Big Platforms 3 2.2. Machine Learning 4 2.3. Deep Learning in Telecom 4 3.

More information

Guavus Marketing Insight Datasheet

Guavus Marketing Insight Datasheet Guavus Marketing Insight Datasheet Today s consumers are accustomed to personalized services across multiple channels. In order to lead in an increasingly competitive communication marketplace, Comunication

More information

Azure Offerings for Big data. In Kee Paek Cloud Data Solution Architect Microsoft Korea October. 2016

Azure Offerings for Big data. In Kee Paek Cloud Data Solution Architect Microsoft Korea October. 2016 Azure Offerings for Big data In Kee Paek Cloud Data Solution Architect Microsoft Korea October. 2016 Agenda 1. Integrated Big data Platform - Cortana Intelligent Suite 2. Scalable Machine Learning - R

More information

Why Big Data Matters? Speaker: Paras Doshi

Why Big Data Matters? Speaker: Paras Doshi Why Big Data Matters? Speaker: Paras Doshi If you re wondering about what is Big Data and why does it matter to you and your organization, then come to this talk and get introduced to Big Data and learn

More information

PERSPECTIVE. Monetize Data

PERSPECTIVE. Monetize Data PERSPECTIVE Monetize Data Enterprises today compete on their ability to find new opportunities, create new game - changing phenomena and discover new possibilities. The need for speed, accuracy and efficiency

More information

Digital Insight CGI IT UK Ltd. Digital Customer Experience. Digital Employee Experience

Digital Insight CGI IT UK Ltd. Digital Customer Experience. Digital Employee Experience Digital Insight Digital Customer Experience Digital Employee Experience Digital Insight Internet of Things Payments IP Solutions Cyber Security Cloud 2015 CGI IT UK Ltd. Contents Introduction Business

More information

Making Marketing Smarter with Analytics

Making Marketing Smarter with Analytics Making Marketing Smarter with Analytics Prof. Francisco N. de los Reyes Analytics Advisor Thakral One Measurement and Data Science University of the Philippines School of Statistics Big Data Demographics

More information

Exelon Utilities Data Analytics Journey

Exelon Utilities Data Analytics Journey Exelon Utilities Data Analytics Journey Presented by Dean M Hengst PI System uses with-in Exelon Utilities Intelligent Substation Substation Security Historical Playback / Capacity Planning ComEd as implemented

More information

Brian Macdonald Big Data & Analytics Specialist - Oracle

Brian Macdonald Big Data & Analytics Specialist - Oracle Brian Macdonald Big Data & Analytics Specialist - Oracle Improving Predictive Model Development Time with R and Oracle Big Data Discovery brian.macdonald@oracle.com Copyright 2015, Oracle and/or its affiliates.

More information

Building Your Big Data Team

Building Your Big Data Team Building Your Big Data Team With all the buzz around Big Data, many companies have decided they need some sort of Big Data initiative in place to stay current with modern data management requirements.

More information

Modernizing Data Integration

Modernizing Data Integration Modernizing Data Integration To Accommodate New Big Data and New Business Requirements Philip Russom Research Director for Data Management, TDWI December 16, 2015 Sponsor Speakers Philip Russom TDWI Research

More information

: Boosting Business Returns with Faster and Smarter Data Lakes

: Boosting Business Returns with Faster and Smarter Data Lakes : Boosting Business Returns with Faster and Smarter Data Lakes Empower data quality, security, governance and transformation with proven template-driven approaches By Matt Hutton Director R&D, Think Big,

More information

Enterprise Architecture for Digital Business

Enterprise Architecture for Digital Business Enterprise Architecture for Digital Business Dave Chappelle Enterprise Architect Global EA Program October 26, 2015. Safe Harbor Statement The following is intended to outline our general product direction.

More information

BUILDING A MOUNTAIN OF PEBBLES: USING RETAIL TESTING TO MAKE MONEY. Jim Manzi, Founder of APT September 9, 2015

BUILDING A MOUNTAIN OF PEBBLES: USING RETAIL TESTING TO MAKE MONEY. Jim Manzi, Founder of APT September 9, 2015 BUILDING A MOUNTAIN OF PEBBLES: USING RETAIL TESTING TO MAKE MONEY Jim Manzi, Founder of APT September 9, 2015 RETAIL SALES 2015: ONLINE VS. OFFLINE Most retail sales still occur offline 92.5% 7.5% Offline

More information

ORACLE DATA INTEGRATOR ENTERPRISE EDITION

ORACLE DATA INTEGRATOR ENTERPRISE EDITION ORACLE DATA INTEGRATOR ENTERPRISE EDITION Oracle Data Integrator Enterprise Edition delivers high-performance data movement and transformation among enterprise platforms with its open and integrated E-LT

More information

HP SummerSchool TechTalks Kenneth Donau Presale Technical Consulting, HP SW

HP SummerSchool TechTalks Kenneth Donau Presale Technical Consulting, HP SW HP SummerSchool TechTalks 2013 Kenneth Donau Presale Technical Consulting, HP SW Copyright Copyright 2013 2013 Hewlett-Packard Development Development Company, Company, L.P. The L.P. information The information

More information

Oracle Big Data Discovery The Visual Face of Big Data

Oracle Big Data Discovery The Visual Face of Big Data Oracle Big Data Discovery The Visual Face of Big Data Today's Big Data challenge is not how to store it, but how to make sense of it. Oracle Big Data Discovery is a fundamentally new approach to making

More information

Marketing & Big Data

Marketing & Big Data Marketing & Big Data Surat Teerakapibal, Ph.D. Lecturer in Marketing Director, Doctor of Philosophy Program in Business Administration Thammasat Business School What is Marketing? Anti-Marketing Marketing

More information

Unified Customer Profile: Getting a 360 Customer View in the Age of Big Data

Unified Customer Profile: Getting a 360 Customer View in the Age of Big Data WHITE PAPER Unified Customer Profile: Getting a 360 Customer View in the Age of Big Data www.splicemachine.com Copyright 2014 Splice Machine. All rights reserved. The content of this white paper, including

More information

2018 Big Data Trends: Liberate, Integrate & Trust

2018 Big Data Trends: Liberate, Integrate & Trust 2018 Big Data Trends: Liberate, Integrate & Trust Executive Summary Syncsort conducted its fourth annual survey of IT professionals working with Big Data to get a real-world perspective on the opportunities

More information

Extending the capabilities of Oracle Business Intelligence Applications (OBIA) January 19, 2010

Extending the capabilities of Oracle Business Intelligence Applications (OBIA) January 19, 2010 Extending the capabilities of Oracle Business Intelligence Applications (OBIA) January 19, 2010 Agenda Introduction Overview of OBIEE & OBIA How to extend OBIA? Simple Gaps Complex Enhancements Lessons

More information

Achieving more together.

Achieving more together. be you imagined Achieving more together. Start Your Career with Accenture. At Accenture you are the center of attention: As a company we are made up of individuals like you and their skills. That is why

More information

A Crucial Challenge for the Internet of Everything Era

A Crucial Challenge for the Internet of Everything Era Optimized Data Engineering: A Crucial Challenge for the Internet of Everything Era COSPONSORED BY CONTENTS Introduction 1 The Many Transformations of the Internet of Everything 2 Understanding IoE 3 IoE:

More information

Data Governance and Data Quality. Stewardship

Data Governance and Data Quality. Stewardship Data Governance and Data Quality Stewardship 1 Agenda Discuss Data Quality and Data Governance Considerations for future technical decisions 2 Intelligence Portal Embedded InfoApps Hot Social Bad Feedback

More information

With the Emergence of Big Data, Where do Relational Technologies Fit?

With the Emergence of Big Data, Where do Relational Technologies Fit? With the Emergence of Big Data, Where do Relational Technologies Fit? Donna Burbank Global Data Strategy Ltd. 27 October, 2016 Donna Burbank Donna is a recognised industry expert in information management

More information

Telco Cloud and Using Big Data to Improve Customer Experience and to Drive new Revenue Streams

Telco Cloud and Using Big Data to Improve Customer Experience and to Drive new Revenue Streams Telco and Using Big Data to Improve Customer Experience and to Drive new Revenue Streams Mohamed Aly Eladel Senior Consultant Ericsson End user Enterprise Operator Opportunities Operator s Role Time to

More information

Internet of Things. Point of View. Turn your data into accessible, actionable insights for maximum business value.

Internet of Things. Point of View. Turn your data into accessible, actionable insights for maximum business value. Point of View Internet of Things Turn your data into accessible, actionable insights for maximum business value Executive Summary Use a connected ecosystem to create new levels of business value The Internet

More information

The Next Generation of Analytic Apps

The Next Generation of Analytic Apps The Next Generation of Analytic Apps Stefan Schmitz VP of Product Management Oracle Analytics October 2, 2017 Copyright 2017, Oracle and/or its affiliates. All rights reserved. Confidential Oracle Internal/Restricted/Highly

More information

Analyzing Data with Power BI

Analyzing Data with Power BI Analyzing Data with Power BI Course 20778B 3 Days Instructor-led, Hands-on Course Description The main purpose of this three-day instructor-led course is to give students a good understanding of data analysis

More information

In-Memory Analytics: Get Faster, Better Insights from Big Data

In-Memory Analytics: Get Faster, Better Insights from Big Data Discussion Summary In-Memory Analytics: Get Faster, Better Insights from Big Data January 2015 Interview Featuring: Tapan Patel, SAS Institute, Inc. Introduction A successful analytics program should translate

More information

Value Proposition for Telecom Companies

Value Proposition for Telecom Companies WWW.CUSTOMERS-DNA.COM VALUE PROPOSITION TELECOM COMPANIES Value Proposition for Telecom Companies Customer Intelligence in Telecoms CRM & CUSTOMER INTELLIGENCE SERVICES INFO@CUSTOMERS-DNA.COM 2 of 15 Value

More information

OPEN MODERN DATA ARCHITECTURE FOR FINANCIAL SERVICES RISK MANAGEMENT

OPEN MODERN DATA ARCHITECTURE FOR FINANCIAL SERVICES RISK MANAGEMENT WHITEPAPER OPEN MODERN DATA ARCHITECTURE FOR FINANCIAL SERVICES RISK MANAGEMENT A top-tier global bank s end-of-day risk analysis jobs didn t complete in time for the next start of trading day. To solve

More information

Jason Virtue Business Intelligence Technical Professional

Jason Virtue Business Intelligence Technical Professional Jason Virtue Business Intelligence Technical Professional jvirtue@microsoft.com Agenda Microsoft Azure Data Services Azure Cloud Services Azure Machine Learning Azure Service Bus Azure Stream Analytics

More information

Let s distribute.. NOW: Modern Data Platform as Basis for Transformation and new Services

Let s distribute.. NOW: Modern Data Platform as Basis for Transformation and new Services Let s distribute.. NOW: Modern Data Platform as Basis for Transformation and new Services Matthias Kupczak, Michael Probst; SAP June, 2017 Agenda 09:30-09:55 Coffee 09:55-10:00 Welcome Message T-Systems

More information

Fast Start Business Analytics with Power BI

Fast Start Business Analytics with Power BI Fast Start Business Analytics with Power BI Accelerate Through classroom, challenging, training and a quick proof of concept, learn about Power BI and how it can help speed up your decision making and

More information

LEVERAGING DATA ANALYTICS TO GAIN COMPETITIVE ADVANTAGE IN YOUR INDUSTRY

LEVERAGING DATA ANALYTICS TO GAIN COMPETITIVE ADVANTAGE IN YOUR INDUSTRY LEVERAGING DATA ANALYTICS TO GAIN COMPETITIVE ADVANTAGE IN YOUR INDUSTRY Unlock the value of your data with analytics solutions from Dell EMC ABSTRACT To unlock the value of their data, organizations around

More information

Audience Profile The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Audience Profile The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. [MS20778]: Analyzing Data with Power BI Length : 3 Days Audience(s) : Information Workers Level : 300 Technology : Power BI Delivery Method : Instructor-led (Classroom) Course Overview The main purpose

More information

Automation of Enterprise Manager with EMCLI

Automation of Enterprise Manager with EMCLI Automation of Enterprise Manager with EMCLI Robert Crames Senior Consultant robert.crames@trivadis.com Basel Baden Bern Lausanne Zurich Düsseldorf Frankfurt/M. Freiburg i. Br. Hamburg Munich Stuttgart

More information

Procurement and Spend Analytics

Procurement and Spend Analytics Atlanta Oracle Applications User Group Procurement and Spend Analytics Customer Case Study Kshitij Kumar & Sravan Daggupati Apps Associates LLC November 20, 2009 Agenda Why BI Apps Welch s Case Study Procurement

More information

Cask Data Application Platform (CDAP)

Cask Data Application Platform (CDAP) Cask Data Application Platform (CDAP) CDAP is an open source, Apache 2.0 licensed, distributed, application framework for delivering Hadoop solutions. It integrates and abstracts the underlying Hadoop

More information

Oracle's Cloud Strategie für den Geschäftserfolg Alles Neue von der OOW

Oracle's Cloud Strategie für den Geschäftserfolg Alles Neue von der OOW Oracle's Cloud Strategie für den Geschäftserfolg Alles Neue von der OOW Matthias Weiss Direktor Mittelstand Technologie Oracle Deutschland B.V. & Co. KG Agenda 1 2 3 4 5 6 Digital Transformation and CEO

More information

Oracle Paas. Rino Weggers, Customer Success Manager Frank Brink, Customer Success Manager November 17, 2015

Oracle Paas. Rino Weggers, Customer Success Manager Frank Brink, Customer Success Manager November 17, 2015 Oracle Paas Rino Weggers, Customer Success Manager Frank Brink, Customer Success Manager November 17, 2015 Copyright 2015, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Internal/Restricted/Highly

More information

Ensuring a Sustainable Architecture for Data Analytics

Ensuring a Sustainable Architecture for Data Analytics October 2015 Ensuring a Sustainable Architecture for Data Analytics Claudia Imhoff, Ph.D. 1 Table of Contents Introduction... 2 The Extended Data Warehouse Architecture... 3 Integration of Three Analytic

More information

Apache Spark 2.0 GA. The General Engine for Modern Analytic Use Cases. Cloudera, Inc. All rights reserved.

Apache Spark 2.0 GA. The General Engine for Modern Analytic Use Cases. Cloudera, Inc. All rights reserved. Apache Spark 2.0 GA The General Engine for Modern Analytic Use Cases 1 Apache Spark Drives Business Innovation Apache Spark is driving new business value that is being harnessed by technology forward organizations.

More information

<Insert Picture Here> Service Oriented Architecture

<Insert Picture Here> Service Oriented Architecture Service Oriented Architecture Sean Donahue What does FUSION mean exactly? FUSION Applications FUSION Architecture FUSION FUSION Tech Stack (Apps Unlimited) Oracle Fusion Architecture,

More information

Smarter Data Insights. Emmanuel Osanga

Smarter Data Insights. Emmanuel Osanga Smarter Data Insights Emmanuel Osanga 1 Global Challenges Increasing Stakeholder Pressure Global Megatrends Factors reshaping our world Global Economic & Socio-Political Challenges 2 Disruptive Innovation

More information

Ultra-Fast Data Access Is The Key To Unleashing Full Big Data Potential

Ultra-Fast Data Access Is The Key To Unleashing Full Big Data Potential A Forrester Consulting Thought Leadership Paper Commissioned By SAP and Lenovo January 2016 Ultra-Fast Data Access Is The Key To Unleashing Full Big Data Potential 1 Executive Summary The proliferation

More information

January Oracle Real Time Decisions Statement of Direction

January Oracle Real Time Decisions Statement of Direction January 2016 Oracle Real Time Decisions Statement of Direction Oracle Statement of Direction Oracle Business Intelligence Discoverer Disclaimer This document in any form, software or printed matter, contains

More information

hybris marketing Market to an Audience of One Roland Blösch Director Financial Services

hybris marketing Market to an Audience of One Roland Blösch Director Financial Services hybris marketing Market to an Audience of One Roland Blösch Director Financial Services Priorities and Trends in insurance Digitization Omnichannel Contextual Marketing Internet of Things CEO SURVEY: TOP

More information

Pentaho 8.0 Overview. Pedro Alves

Pentaho 8.0 Overview. Pedro Alves Pentaho 8.0 Overview Pedro Alves Safe Harbor Statement The forward-looking statements contained in this document represent an outline of our current intended product direction. It is provided for information

More information