Data Gravity & Distributed Analytics. John K Thompson GM Advanced Analytics

Size: px
Start display at page:

Download "Data Gravity & Distributed Analytics. John K Thompson GM Advanced Analytics Twitter: @johnkthompson60"

Transcription

1 Data Gravity & Distributed Analytics John K Thompson GM Advanced Analytics 1

2 Taking the analytics to the data in your shop Statistica 2

3 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics 2

4 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. 2

5 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 2

6 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 2

7 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 2

8 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 2

9 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 2

10 Taking the analytics to the data in your shop Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 2

11 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL 3

12 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL Boomi Date/Time Trans type Velocity Trigger 3

13 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL Boomi Date/Time Trans type Velocity Trigger 3

14 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL 3

15 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL 3

16 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 3

17 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 3

18 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 3

19 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 3

20 Taking the analytics to the data - globally Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 3

21 Taking the build to the data Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 4

22 Taking the build to the data Statistica Model Building Environment Statistica Statistica Big Data Analytics Neural Net.. Boomi Date/Time Trans type Velocity Trigger Export Model as: 1. Java 2. PMML 3. C 4. C SQL Private Cloud 4

23 Taking the build to the data Statistica Model Building Environment Statistica Statistica Big Data Analytics Neural Net.. Export Model as: 1. Java 2. PMML 3. C 4. C SQL Boomi Date/Time Trans type Velocity Trigger SMBE Private Cloud 4

24 Collective Intelligence How we work together to enrich and expand Analytics John K Thompson GM Advanced Analytics 5

25 Analytics talent is widespread & ready to collaborate. 6

26 Analytics talent is widespread & ready to collaborate. 6

27 Analytics talent is widespread & ready to collaborate. 6

28 Analytics talent is widespread & ready to collaborate. 6

29 Analytics talent is widespread & ready to collaborate. 6

30 Analytics talent is widespread & ready to collaborate. 6

31 Analytics talent is widespread & ready to collaborate. 6

32 Analytics talent is widespread & ready to collaborate. 6

33 Collective Intelligence (CI) the global community. 7

34 Collective Intelligence (CI) the global community. 7

35 Collective Intelligence (CI) the global community. 7

36 Collective Intelligence (CI) the global community. 7

37 Collective Intelligence (CI) the global community. 7

38 Collective Intelligence (CI) the global community. 7

39 Collective Intelligence (CI) the global community. 7

40 Collective Intelligence (CI) the global community. 7

41 Collective Intelligence (CI) the global community. 7

42 CI & Statistica management, security, governance. Source Model Type Version CRAN Btree v1.0 CRAN Btree v1.1 CRAN Btree v1.2 AML NN v10 Algo LGR v5.0 Aperv Ensemble V1.0 EM NN V2.0 Experfy CART V3.0 8

43 CI & Statistica management, security, governance. Chicago Source Model Type Version CRAN Btree v1.0 CRAN Btree v1.1 CRAN Btree v1.2 AML NN v10 Algo LGR v5.0 Aperv Ensemble V1.0 EM NN V2.0 Experfy CART V3.0 8

44 CI & Statistica management, security, governance. Chicago Sao Paolo Source Model Type Version CRAN Btree v1.0 CRAN Btree v1.1 CRAN Btree v1.2 AML NN v10 Algo LGR v5.0 Aperv Ensemble V1.0 EM NN V2.0 Experfy CART V3.0 8

45 CI & Statistica management, security, governance. Chicago Sao Paolo Source Model Type Version Singapore CRAN Btree v1.0 CRAN Btree v1.1 CRAN Btree v1.2 AML NN v10 Algo LGR v5.0 Aperv Ensemble V1.0 EM NN V2.0 Experfy CART V3.0 8

46 9

May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law.

May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright law. : University of Chicago Press,. p 24 http://site.ebrary.com/id/10292358?ppg=24 : University of Chicago Press,. p 25 http://site.ebrary.com/id/10292358?ppg=25 : University of Chicago Press,. p 26 http://site.ebrary.com/id/10292358?ppg=26

More information

Ron Shaham. Expert Witness in Islamic Courts : Medicine and Crafts in the Service of Law. : University of Chicago Press,. p 38

Ron Shaham. Expert Witness in Islamic Courts : Medicine and Crafts in the Service of Law. : University of Chicago Press,. p 38 : University of Chicago Press,. p 38 http://site.ebrary.com/id/10381149?ppg=38 : University of Chicago Press,. p 39 http://site.ebrary.com/id/10381149?ppg=39 : University of Chicago Press,. p 40 http://site.ebrary.com/id/10381149?ppg=40

More information

. Perspectives on the Economics of Aging. : University of Chicago Press,. p 3 http://site.ebrary.com/id/10209979?ppg=3 Copyright University of

. Perspectives on the Economics of Aging. : University of Chicago Press,. p 3 http://site.ebrary.com/id/10209979?ppg=3 Copyright University of : University of Chicago Press,. p 3 http://site.ebrary.com/id/10209979?ppg=3 : University of Chicago Press,. p 4 http://site.ebrary.com/id/10209979?ppg=4 : University of Chicago Press,. p 297 http://site.ebrary.com/id/10209979?ppg=297

More information

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE Most Effective Modeling Application Designed to Address Business Challenges Applying a predictive strategy to reach a desired business

More information

Easy Execution of Data Mining Models through PMML

Easy Execution of Data Mining Models through PMML Easy Execution of Data Mining Models through PMML Zementis, Inc. UseR! 2009 Zementis Development, Deployment, and Execution of Predictive Models Development R allows for reliable data manipulation and

More information

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Pierpaolo Vezzosi, SAP SESSION CODE: 0605 Summary Who said you need a PhD to do sophisticated predictive analysis?

More information

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES Translating data into business value requires the right data mining and modeling techniques which uncover important patterns within

More information

Ďě Ž ť č ď ť ď ú ď ť ě Ě ň Ě ě ú ň ž ú ú Ú ú ú Ě ň é é ž ú ž Ť Ť Ť ú ň Ď ú ň ď Ě ú É ž ř ú ě ň ý Ě ň ý ň ň Ť ř ď ř ň ú Ť ě ř ě ý Š Ú Ú ň ň ú Ó Ú ň Ň Ů ž ú ň Č ř ř ú É ě ň ú Ž ý ú ú Ú Ú ť ž ž ď ý ž ď ž

More information

Predictive Analytics at the Speed of Business

Predictive Analytics at the Speed of Business Predictive Analytics at the Speed of Business How decision management and a real-time infrastructure get predictive analytics where and when you need them 2012 Decision Management Solutions 1 Your presenters

More information

Continuous Integration & Automated Testing in a multisite.net/cloud Project

Continuous Integration & Automated Testing in a multisite.net/cloud Project Continuous Integration Automated Testing in a multisite.net/cloud Project Entwicklertag 2013 Karlsruhe 5-Jun-2013 Vladislav Kublanov 1 Speaker Vladislav Kublanov Tata Consultancy Services (TCS) Studied

More information

Dell Software. Jiří Svatuška

Dell Software. Jiří Svatuška Dell Software Jiří Svatuška Servers, storage and network Dell Software offerings Software is an important part of Dell solutions Services Client devices Dell Software portfolio - What we offer Transform

More information

Update on the OMG PRR Standard

Update on the OMG PRR Standard Update on the OMG PRR Standard Paul Vincent TIBCO Software Inc. MarkupLanguages 2008 Conference 2 Why am I here? (Where do Standards Fit in Commercial IT Tools?) Best Practices Technical Partner Service

More information

Public & Private Cloud Services

Public & Private Cloud Services Public & Private Cloud Services George Bourmas Sales Consulting Manager Database & Options Exadata Team Leader CEE 1 2 Oracle s Architectural Vision Complete, Open, Integrated Systems ENGINEERED TO WORK

More information

2012 3 R s and Predictive Modeling Boot Camp Nov. 8-9, 2012. Session #1: Predictive Modeling: An Overview Syed Muzayan Mehmud, ASA, FCA, MAAA

2012 3 R s and Predictive Modeling Boot Camp Nov. 8-9, 2012. Session #1: Predictive Modeling: An Overview Syed Muzayan Mehmud, ASA, FCA, MAAA 2012 3 R s and Predictive Modeling Boot Camp Nov. 8-9, 2012 Session #1: Predictive Modeling: An Overview Syed Muzayan Mehmud, ASA, FCA, MAAA Predictive Modeling: An Overview November 8, 2012 Syed M. Mehmud

More information

DATAOPT SOLUTIONS. What Is Big Data?

DATAOPT SOLUTIONS. What Is Big Data? DATAOPT SOLUTIONS What Is Big Data? WHAT IS BIG DATA? It s more than just large amounts of data, though that s definitely one component. The more interesting dimension is about the types of data. So Big

More information

Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes

Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes Highly competitive enterprises are increasingly finding ways to maximize and accelerate

More information

Oracle Sales Cloud for Consumer Goods

Oracle Sales Cloud for Consumer Goods S U M M E R 1 5 Oracle Sales Cloud for Consumer Goods Oracle Sales Cloud for Consumer Goods is a comprehensive industry solution that includes trade promotion management and retail execution. The retail

More information

Model Deployment. Dr. Saed Sayad. University of Toronto 2010 saed.sayad@utoronto.ca. http://chem-eng.utoronto.ca/~datamining/

Model Deployment. Dr. Saed Sayad. University of Toronto 2010 saed.sayad@utoronto.ca. http://chem-eng.utoronto.ca/~datamining/ Model Deployment Dr. Saed Sayad University of Toronto 2010 saed.sayad@utoronto.ca http://chem-eng.utoronto.ca/~datamining/ 1 Model Deployment Creation of the model is generally not the end of the project.

More information

Ensembles and PMML in KNIME

Ensembles and PMML in KNIME Ensembles and PMML in KNIME Alexander Fillbrunn 1, Iris Adä 1, Thomas R. Gabriel 2 and Michael R. Berthold 1,2 1 Department of Computer and Information Science Universität Konstanz Konstanz, Germany First.Last@Uni-Konstanz.De

More information

Data Mining + Business Intelligence. Integration, Design and Implementation

Data Mining + Business Intelligence. Integration, Design and Implementation Data Mining + Business Intelligence Integration, Design and Implementation ABOUT ME Vijay Kotu Data, Business, Technology, Statistics BUSINESS INTELLIGENCE - Result Making data accessible Wider distribution

More information

The Use of Open Source Is Growing. So Why Do Organizations Still Turn to SAS?

The Use of Open Source Is Growing. So Why Do Organizations Still Turn to SAS? Conclusions Paper The Use of Open Source Is Growing. So Why Do Organizations Still Turn to SAS? Insights from a presentation at the 2014 Hadoop Summit Featuring Brian Garrett, Principal Solutions Architect

More information

Summary. U.S. Retail Cyber Monday Report 2014

Summary. U.S. Retail Cyber Monday Report 2014 U.S. Retail Report 2014 IBM DIGITAL ANALYTICS BENCHMARK 2 Summary Heading back to work, consumers clicked their way to the best deals on which remained the busiest online shopping day of the holiday season.

More information

Course Outline. Module 1: Introduction to Data Warehousing

Course Outline. Module 1: Introduction to Data Warehousing Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components of a data warehousing solution and the highlevel considerations you must take into account

More information

Beyond Responsive Design (for Online Retailers): Delivering Custom Mobile Experiences for Multiple Touch Points

Beyond Responsive Design (for Online Retailers): Delivering Custom Mobile Experiences for Multiple Touch Points Beyond Responsive Design (for Online Retailers): Delivering Custom Mobile Experiences for Multiple Touch Points When the Internet first started to become popular and widespread, webpage design was a relatively

More information

Splunk Operational Visibility

Splunk Operational Visibility Copyright 2015 Splunk Inc. Splunk Operational Visibility Matthias Maier Sales Engineer, CISSP Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding

More information

Deliver Compelling Shopping and GREAT Customer Service with Interactive Technologies

Deliver Compelling Shopping and GREAT Customer Service with Interactive Technologies Deliver Compelling Shopping and GREAT Customer Service with Interactive Technologies Focus on the Finish. Driving Consumers to Purchase 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public

More information

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning Course Outline: Course: Implementing a Data with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning Duration: 5.00 Day(s)/ 40 hrs Overview: This 5-day instructor-led course describes

More information

Beta: Implementing a Data Warehouse with Microsoft SQL Server 2012

Beta: Implementing a Data Warehouse with Microsoft SQL Server 2012 CÔNG TY CỔ PHẦN TRƯỜNG CNTT TÂN ĐỨC TAN DUC INFORMATION TECHNOLOGY SCHOOL JSC LEARN MORE WITH LESS! Course 10777: Beta: Implementing a Data Warehouse with Microsoft SQL Server 2012 Length: 5 Days Audience:

More information

Implementing a Data Warehouse with Microsoft SQL Server 2012 MOC 10777

Implementing a Data Warehouse with Microsoft SQL Server 2012 MOC 10777 Implementing a Data Warehouse with Microsoft SQL Server 2012 MOC 10777 Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components of a data warehousing

More information

How to Optimize Your Data Mining Environment

How to Optimize Your Data Mining Environment WHITEPAPER How to Optimize Your Data Mining Environment For Better Business Intelligence Data mining is the process of applying business intelligence software tools to business data in order to create

More information

R and Hadoop: Architectural Options. Bill Jacobs VP Product Marketing & Field CTO, Revolution Analytics @bill_jacobs

R and Hadoop: Architectural Options. Bill Jacobs VP Product Marketing & Field CTO, Revolution Analytics @bill_jacobs R and Hadoop: Architectural Options Bill Jacobs VP Product Marketing & Field CTO, Revolution Analytics @bill_jacobs Polling Question #1: Who Are You? (choose one) Statistician or modeler who uses R Other

More information

Copyright 2013 Splunk Inc. Introducing Splunk 6

Copyright 2013 Splunk Inc. Introducing Splunk 6 Copyright 2013 Splunk Inc. Introducing Splunk 6 Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding future events or the expected performance

More information

We are building the next generation of Big Data and Analytics solutions!

We are building the next generation of Big Data and Analytics solutions! We are building the next generation of Big Data and Analytics solutions! Background 26 years Experience IT Industry 12 Years Solutions Architect - International Profile Passionate about Technology Genuine

More information

Splunk Company Overview

Splunk Company Overview Copyright 2015 Splunk Inc. Splunk Company Overview Name Title Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding future events or the expected

More information

Certification In SAS Programming. Introduction to SAS Program

Certification In SAS Programming. Introduction to SAS Program Certification In SAS Programming Introduction to SAS Program What Lies Ahead In this session, you will gain answers to: Overview of Analytics Careers in Analytics Why Use SAS? Introduction to SAS System

More information

Operational Efficiency in the Health Sector

Operational Efficiency in the Health Sector Operational Efficiency in the Health Sector Vikash Appanah Principal Applications Consultant SADC Region 1 Operational Complexity 2 Decentralization of Medical services Operational Challenges Data Everywhere

More information

I N T E R S Y S T E M S W H I T E P A P E R F O R F I N A N C I A L SERVICES EXECUTIVES. Deploying an elastic Data Fabric with caché

I N T E R S Y S T E M S W H I T E P A P E R F O R F I N A N C I A L SERVICES EXECUTIVES. Deploying an elastic Data Fabric with caché I N T E R S Y S T E M S W H I T E P A P E R F O R F I N A N C I A L SERVICES EXECUTIVES Deploying an elastic Data Fabric with caché Deploying an elastic Data Fabric with caché Executive Summary For twenty

More information

Deploying Analytics with a Rules-Based Infrastructure. James Taylor, CEO

Deploying Analytics with a Rules-Based Infrastructure. James Taylor, CEO Deploying Analytics with a Rules-Based Infrastructure James Taylor, CEO 2011 Decision Management Solutions 2 Your presenter CEO of Decision Management Solutions Decision Management Solutions works with

More information

Head in the Clouds Feet On the Ground

Head in the Clouds Feet On the Ground Abhi Raina Director EPM Practice AST Corporation Head in the Clouds Feet On the Ground A Guide to Choosing Cloud Options 1 Topics Cloud Computing Options within the Cloud Oracle Cloud Q&A 2 Specialized.

More information

Copyright Boxpilot, Inc. All Rights Reserved. Program Portal

Copyright Boxpilot, Inc. All Rights Reserved. Program Portal Program Portal What is it? Boxpilot s Program Portal is your subscription to access the marketing automation platform that Boxpilot uses to conduct programs on your behalf. We are your marketing ops concierge:

More information

Oracle Big Data Handbook

Oracle Big Data Handbook ORACLG Oracle Press Oracle Big Data Handbook Tom Plunkett Brian Macdonald Bruce Nelson Helen Sun Khader Mohiuddin Debra L. Harding David Segleau Gokula Mishra Mark F. Hornick Robert Stackowiak Keith Laker

More information

KNIME UGM 2014 Partner Session

KNIME UGM 2014 Partner Session KNIME UGM 2014 Partner Session DYMATRIX Stefan Weingaertner DYMATRIX CONSULTING GROUP 1 Agenda 1 Company Introduction 2 DYMATRIX Customer Intelligence Offering 3 PMML2SQL / PMML2SAS Converter 4 Uplift

More information

Oracle Architecture, Concepts & Facilities

Oracle Architecture, Concepts & Facilities COURSE CODE: COURSE TITLE: CURRENCY: AUDIENCE: ORAACF Oracle Architecture, Concepts & Facilities 10g & 11g Database administrators, system administrators and developers PREREQUISITES: At least 1 year of

More information

Developing a successful Big Data strategy. Using Big Data to improve business outcomes

Developing a successful Big Data strategy. Using Big Data to improve business outcomes Developing a successful Big Data strategy Using Big Data to improve business outcomes Splunk Company Overview Copyright 2013 Splunk Inc. Company (NASDAQ: SPLK) Business Model / Products Customers (6000+)

More information

HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING. Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara

HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING. Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara DRIVING INNOVATION THROUGH DATA HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara ABOUT ME I am a Data Engineer, not a Data

More information

SQL Access to OpenEdge Apps

SQL Access to OpenEdge Apps SQL Access to OpenEdge Apps Building a highly performant, embeddable, custom ODBC, JDBC, ADO.NET or OLE.DB driver with OpenAccess. Laurent KIEFFER Solutions Engineer 23 Janvier 2014 OpenAccess in Progress

More information

Innolligence focuses on four capability areas using cutting age technologies

Innolligence focuses on four capability areas using cutting age technologies Innolligence started embodying way back in 2012 end with freelancing and technology consulting. It started software delivery with freelancing projects. Innolligence core members started developing competency

More information

M.S. in Transportation

M.S. in Transportation 1 M.S. in Transportation Degree Requirements Students who lack an appropriate background may be admitted and required to make up deficiencies by taking a program of bridge courses designed in consultation

More information

Data Science and Business Analytics Certificate Data Science and Business Intelligence Certificate

Data Science and Business Analytics Certificate Data Science and Business Intelligence Certificate Data Science and Business Analytics Certificate Data Science and Business Intelligence Certificate Description The Helzberg School of Management has launched two graduate-level certificates: one in Data

More information

Disrupting The Market: Predictive Analytics As A Service

Disrupting The Market: Predictive Analytics As A Service Disrupting The Market: Predictive Analytics As A Service 0 Problem 8.7 Billion Connected Devices 1 Growing 25% Annually What Does This Data Tell Us About Sensor Use? 1 Study conducted by Cisco 1 Solution

More information

For Sales Kathy Hall 402-963-4466 khall@it4e.com

For Sales Kathy Hall 402-963-4466 khall@it4e.com IT4E Schedule 13939 Gold Circle Omaha NE 68144 402-431-5432 Course Number 10777 For Sales Chris Reynolds 402-963-4465 creynolds@it4e.com www.it4e.com For Sales Kathy Hall 402-963-4466 khall@it4e.com Course

More information

Enabling Continuous Delivery for Java Projects with Oracle Cloud Services (Oracle PaaS) Siva Rama Krishna Oracle India

Enabling Continuous Delivery for Java Projects with Oracle Cloud Services (Oracle PaaS) Siva Rama Krishna Oracle India Enabling Continuous Delivery for Java Projects with Oracle Services (Oracle PaaS) Siva Rama Krishna Oracle India Agenda What is Continuous Delivery? What is Oracle PaaS? Enabling Continuous Delivery with

More information

A Framework of User-Driven Data Analytics in the Cloud for Course Management

A Framework of User-Driven Data Analytics in the Cloud for Course Management A Framework of User-Driven Data Analytics in the Cloud for Course Management Jie ZHANG 1, William Chandra TJHI 2, Bu Sung LEE 1, Kee Khoon LEE 2, Julita VASSILEVA 3 & Chee Kit LOOI 4 1 School of Computer

More information

About Dell Statistica 12.6... 2

About Dell Statistica 12.6... 2 Complete Product Name with Trademarks Version Dell TM Statistica TM 12.6 Contents Dell TM Statistica TM... 1 About Dell Statistica 12.6... 2 New Features... 2 Workspace Enhancements: Statistica Enterprise

More information

The 4 Pillars of Technosoft s Big Data Practice

The 4 Pillars of Technosoft s Big Data Practice beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managed

More information

Sunnie Chung. Cleveland State University

Sunnie Chung. Cleveland State University Sunnie Chung Cleveland State University Data Scientist Big Data Processing Data Mining 2 INTERSECT of Computer Scientists and Statisticians with Knowledge of Data Mining AND Big data Processing Skills:

More information

Big Data Analytics. A Game Changer for OD Practitioners. Michele Reeves, SAS. Technology & Tools Change & Agility Diversity & Culture

Big Data Analytics. A Game Changer for OD Practitioners. Michele Reeves, SAS. Technology & Tools Change & Agility Diversity & Culture Big Data Analytics A Game Changer for OD Practitioners Michele Reeves, SAS Technology & Tools Change & Agility Diversity & Culture Look Who s Talking I hope you learn 1. The difference between business

More information

Altai Systems Solution Overview Developed with Microsoft Dynamics CRM

Altai Systems Solution Overview Developed with Microsoft Dynamics CRM Altai Systems Solution Overview Developed with Microsoft Dynamics CRM Altai Membership, a Microsoft Dynamics CRM-based Association Management System, has been designed and developed with the progressive

More information

Decisyon/Engage. Connecting you to the voice of the market. Contacts. www.decisyon.com

Decisyon/Engage. Connecting you to the voice of the market. Contacts. www.decisyon.com Connecting you to the voice of the market Contacts www.decisyon.com Corporate Headquarters 795 Folsom Street, 1st Floor San Francisco, CA 94107 1 844-329-3972 European Office Viale P. L. Nervi Directional

More information

Using Normalized Status Change Events Data in Business Intelligence. Mark C. Cooke, Ph.D. Tax Management Associates, Inc.

Using Normalized Status Change Events Data in Business Intelligence. Mark C. Cooke, Ph.D. Tax Management Associates, Inc. Using Normalized Status Change Events Data in Business Intelligence Mark C. Cooke, Ph.D. Tax Management Associates, Inc. A note to the audience TMA is a company that serves state and local government,

More information

Getting Started Practical Input For Your Roadmap

Getting Started Practical Input For Your Roadmap Getting Started Practical Input For Your Roadmap Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike Ferguson

More information

WORLD CLASS B2C MARKETING FOR MAGENTO EMARSYS FOR MAGENTO

WORLD CLASS B2C MARKETING FOR MAGENTO EMARSYS FOR MAGENTO WORLD CLASS B2C MARKETING FOR MAGENTO EMARSYS FOR MAGENTO MAGENTO AND EMARSYS THE PERFECT MATCH A turnkey solution that plugs Emarsys B2C Marketing Cloud directly into your Magento shop. Seamlessly synchronize

More information

Complete Practice Management & Multilingual Optical Store Point-of-Sale (POS) Software for a major client in Canada

Complete Practice Management & Multilingual Optical Store Point-of-Sale (POS) Software for a major client in Canada A Case Study Complete Practice Management & Multilingual Optical Store Point-of-Sale (POS) Software for a major client in Canada Business Need 2000+ man hours of experience in POS space as a dedicated

More information

Detail of S.R.Intekserv Consultants Pvt.Ltd/ INTEKSERV GROUP

Detail of S.R.Intekserv Consultants Pvt.Ltd/ INTEKSERV GROUP Detail of S.R.Intekserv Consultants Pvt.Ltd/ INTEKSERV GROUP User of the document is responsible to ensure use of current version of the document. This document is for restricted circulation. No part of

More information

DecisionCraft Proposition

DecisionCraft Proposition Ltd. DecisionCraft Proposition Background Consulting firm with focus on quantitative modeling & analytical techniques Founded by thought leaders with vast experience in academia & industry Teams with ideal

More information

MicroStrategy Course Catalog

MicroStrategy Course Catalog MicroStrategy Course Catalog 1 microstrategy.com/education 3 MicroStrategy course matrix 4 MicroStrategy 9 8 MicroStrategy 10 table of contents MicroStrategy course matrix MICROSTRATEGY 9 MICROSTRATEGY

More information

Azure Machine Learning, SQL Data Mining and R

Azure Machine Learning, SQL Data Mining and R Azure Machine Learning, SQL Data Mining and R Day-by-day Agenda Prerequisites No formal prerequisites. Basic knowledge of SQL Server Data Tools, Excel and any analytical experience helps. Best of all:

More information

ASTCORPORATION. Head in the Clouds Feet On the Ground A Guide to Choosing Cloud Options RECOGNIZED. PREFERRED. SPECIALIZED.

ASTCORPORATION. Head in the Clouds Feet On the Ground A Guide to Choosing Cloud Options RECOGNIZED. PREFERRED. SPECIALIZED. ASTCORPORATION SPECIALIZED. RECOGNIZED. PREFERRED. Head in the Clouds Feet On the Ground A Guide to Choosing Cloud Options Abhi Raina Director EPM Practice Prasad Nettem VP ERP Practice AST Corporation

More information

GOMEMBERS. GOMEMBERS OVERVIEW Membership driven solution to help you fulfill your mission. www.aptean.com

GOMEMBERS. GOMEMBERS OVERVIEW Membership driven solution to help you fulfill your mission. www.aptean.com GOMEMBERS association management system GOMEMBERS OVERVIEW Membership driven solution to help you fulfill your mission. brochure gomembers overview 2 MEMBERSHIP MANAGEMENT FINANCIAL MANAGEMENT ONLINE SOLUTIONS

More information

Leveraging Machine Data to Deliver New Insights for Business Analytics

Leveraging Machine Data to Deliver New Insights for Business Analytics Copyright 2015 Splunk Inc. Leveraging Machine Data to Deliver New Insights for Business Analytics Rahul Deshmukh Director, Solutions Marketing Jason Fedota Regional Sales Manager Safe Harbor Statement

More information

Course 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012

Course 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012 Course 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012 OVERVIEW About this Course Data warehousing is a solution organizations use to centralize business data for reporting and analysis.

More information

POSTGRAD PLACEMENTS. Placements are an integral part of the Masters programmes, so international students will not require additional work visas.

POSTGRAD PLACEMENTS. Placements are an integral part of the Masters programmes, so international students will not require additional work visas. POSTGRAD PLACEMENTS COMPUTATIONAL FINANCE DATA SCIENCE AND ANALYTICS MACHINE LEARNING KEY INFORMATION Placements can start in the middle of June 2015 or later and must finish by the middle of June 2016

More information

The basic data mining algorithms introduced may be enhanced in a number of ways.

The basic data mining algorithms introduced may be enhanced in a number of ways. DATA MINING TECHNOLOGIES AND IMPLEMENTATIONS The basic data mining algorithms introduced may be enhanced in a number of ways. Data mining algorithms have traditionally assumed data is memory resident,

More information

How To Understand Data Theory

How To Understand Data Theory Predictive Analytics & Business Insights 2015, Chicago Mudit Mangal Project Lead, Data Analytics, Supply Chain Sears Holdings Corporation 06/11/2015 Agenda WHAT IS HAPPENING WHAT ARE BENEFITS AND CHALLENGES

More information

Advanced analytics at your hands

Advanced analytics at your hands 2.3 Advanced analytics at your hands Neural Designer is the most powerful predictive analytics software. It uses innovative neural networks techniques to provide data scientists with results in a way previously

More information

Oracle Sales Cloud Sales Performance Management

Oracle Sales Cloud Sales Performance Management S U M M E R 1 5 Oracle Sales Cloud Sales Performance Management Oracle Sales Cloud Sales Performance Management enables companies to be more flexible, accountable and responsive to improve sales effectiveness

More information

Top 10 Business Intelligence Trends - 2013

Top 10 Business Intelligence Trends - 2013 Enclosed is the white paper you requested. Top 10 Business Intelligence Trends - 2013 This whitepaper compliments of: Empower Business Solutions www.em-powered.com 3900 Industrial Park Drive Suite 5 Altoona,

More information

Fast and Easy Delivery of Data Mining Insights to Reporting Systems

Fast and Easy Delivery of Data Mining Insights to Reporting Systems Fast and Easy Delivery of Data Mining Insights to Reporting Systems Ruben Pulido, Christoph Sieb rpulido@de.ibm.com, christoph.sieb@de.ibm.com Abstract: During the last decade data mining and predictive

More information

Implementing a Data Warehouse with Microsoft SQL Server 2012

Implementing a Data Warehouse with Microsoft SQL Server 2012 Course 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012 Length: Audience(s): 5 Days Level: 200 IT Professionals Technology: Microsoft SQL Server 2012 Type: Delivery Method: Course Instructor-led

More information

Automating Big Data Management, by DISIT Lab Distributed [Systems and Internet, Data Intelligence] Technologies Lab Prof. Ph.D. Eng.

Automating Big Data Management, by DISIT Lab Distributed [Systems and Internet, Data Intelligence] Technologies Lab Prof. Ph.D. Eng. Automating Big Data Management, by DISIT Lab Distributed [Systems and Internet, Data Intelligence] Technologies Lab Prof. Ph.D. Eng. Paolo Nesi Dipartimento di Ingegneria dell Informazione, DINFO Università

More information

Big data: Unlocking strategic dimensions

Big data: Unlocking strategic dimensions Big data: Unlocking strategic dimensions By Teresa de Onis and Lisa Waddell Dell Inc. New technologies help decision makers gain insights from all types of data from traditional databases to high-visibility

More information

Customer Lead Generation from Digital Channels for Insurance Dr. Jai Ganesh

Customer Lead Generation from Digital Channels for Insurance Dr. Jai Ganesh Customer Lead Generation from Digital Channels for Insurance By Dr. Jai Ganesh Head, Mphasis Next Labs Contents Introduction...4 Innovation-driven Integrated Digital Customer Analytics...5 Comprehensive,

More information

Transforming Analytics for Cognitive Business

Transforming Analytics for Cognitive Business Transforming Analytics for Cognitive Business Alistair Rennie General Manager Solutions, IBM Analytics @alistair_rennie IBM Chief Data Officer Strategy Summit Data fuels innovative offerings 28% of car

More information

Building Modern Business Applications with Oracle Cloud s Platform Services

Building Modern Business Applications with Oracle Cloud s Platform Services Building Modern Business Applications with Oracle Cloud s Platform Richard Garsthagen Director Cloud Business Development EMEA 1 Safe Harbor Statement The following is intended to outline our general product

More information

XpoLog Center Suite Log Management & Analysis platform

XpoLog Center Suite Log Management & Analysis platform XpoLog Center Suite Log Management & Analysis platform Summary: 1. End to End data management collects and indexes data in any format from any machine / device in the environment. 2. Logs Monitoring -

More information

Multichannel Customer Care

Multichannel Customer Care Multichannel Customer Care The changing landscape in customer communication provides a unique opportunity to combine the assets of our outsource services division (call center and network) with our social

More information

Course MS20467C Designing Self-Service Business Intelligence and Big Data Solutions

Course MS20467C Designing Self-Service Business Intelligence and Big Data Solutions 3 Riverchase Office Plaza Hoover, Alabama 35244 Phone: 205.989.4944 Fax: 855.317.2187 E-Mail: rwhitney@discoveritt.com Web: www.discoveritt.com Course MS20467C Designing Self-Service Business Intelligence

More information

Implementing a Data Warehouse with Microsoft SQL Server 2012

Implementing a Data Warehouse with Microsoft SQL Server 2012 Course 10777 : Implementing a Data Warehouse with Microsoft SQL Server 2012 Page 1 of 8 Implementing a Data Warehouse with Microsoft SQL Server 2012 Course 10777: 4 days; Instructor-Led Introduction Data

More information

Key Adoption Triggers Upgrades, Cost Reduction, Innovation

Key Adoption Triggers Upgrades, Cost Reduction, Innovation Key Adoption Triggers Upgrades, Cost Reduction, Innovation Realized Cloud Benefits 44% FASTER TIME TO MARKET 53% COST SAVINGS 35% BUSINESS FLEXIBILITY Source: http://bit.ly/1enhknr Modernizing Operations

More information

Tap into Hadoop and Other No SQL Sources

Tap into Hadoop and Other No SQL Sources Tap into Hadoop and Other No SQL Sources Presented by: Trishla Maru What is Big Data really? The Three Vs of Big Data According to Gartner Volume Volume Orders of magnitude bigger than conventional data

More information

CASE STUDY. em michelle phan Decodes Dark Social Engagement To Reveal Up To 34% Of Revenue Was Previously Unattributed.

CASE STUDY. em michelle phan Decodes Dark Social Engagement To Reveal Up To 34% Of Revenue Was Previously Unattributed. CASE STUDY em michelle phan Decodes Dark Social Engagement To Reveal Up To 34% Of Revenue Was Previously Unattributed em michelle phan As a new brand with a large sociavl following, it was very important

More information

Busin i ess I n I t n e t ll l i l g i e g nce c T r T e r nds For 2013

Busin i ess I n I t n e t ll l i l g i e g nce c T r T e r nds For 2013 Business Intelligence Trends For 2013 10 Trends The last few years the change in Business Intelligence seems to accelerate under the pressure of increased business demand and technology innovations. Here

More information

Big Data on Microsoft Platform

Big Data on Microsoft Platform Big Data on Microsoft Platform Prepared by GJ Srinivas Corporate TEG - Microsoft Page 1 Contents 1. What is Big Data?...3 2. Characteristics of Big Data...3 3. Enter Hadoop...3 4. Microsoft Big Data Solutions...4

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

Solving Business Pains with SQL Server Integration Services. SQL Server 2005 / 2008

Solving Business Pains with SQL Server Integration Services. SQL Server 2005 / 2008 Solving Business Pains with SQL Server Integration Services SQL Server 2005 / 2008 Jason Strate Who Am I? SQL Server MVP Enterprise Consultant with Digineer Working with SQL Server since 1997 jstrate@digineer.com

More information

Please contact Cyber and Technology Training at (410)777-1333/technologytraining@aacc.edu for registration and pricing information.

Please contact Cyber and Technology Training at (410)777-1333/technologytraining@aacc.edu for registration and pricing information. Course Name Start Date End Date Start Time End Time Active Directory Services with Windows Server 8/31/2015 9/4/2015 9:00 AM 5:00 PM Active Directory Services with Windows Server 9/28/2015 10/2/2015 9:00

More information

Analytics: The Future of Security

Analytics: The Future of Security Analytics: The Future of Security Yong Qiao, Vice President of Software Engineering & Chief Security Architect, MicroStrategy Agenda Introduction: Security Analytics Usher Analytics What is Usher Analytics?

More information

News in Mamut Business Software and Mamut Online

News in Mamut Business Software and Mamut Online // Mamut Business Software News in Mamut Business Software and Mamut Online Contents New Version 2 News in Mamut Business Software version 18.0, 18.1 and 18.2 3 Contact Management 3 ecommerce 3 System

More information

Promises and Pitfalls of Big-Data-Predictive Analytics: Best Practices and Trends

Promises and Pitfalls of Big-Data-Predictive Analytics: Best Practices and Trends Promises and Pitfalls of Big-Data-Predictive Analytics: Best Practices and Trends Spring 2015 Thomas Hill, Ph.D. VP Analytic Solutions Dell Statistica Overview and Agenda Dell Software overview Dell in

More information