ECCMA Presentation The Golden Record and Survivorship. Bud Walker Director of Data Quality Solutions
|
|
|
- Christian Holland
- 8 years ago
- Views:
Transcription
1 ECCMA Presentation The Golden Record and Survivorship Bud Walker Director of Data Quality Solutions Joseph Vertido MD-MVP Channel Manager / Data Quality Analyst 1
2 Data Quality Problems REPORTING ANALYTICS DASHBOARD DATA WAREHOUSE 2
3 Data Quality Problems Introduction of Inconsistencies Without any form of Data Quality control, allowing data to come in as-is introduces problems. 3
4 Data Quality Problems Standardization Format and Ordering Misspelling Misplacement Casing Validity Accuracy Stale Data 4
5 The Data Quality Cycle GOLDEN RECORD AND SURVIVORSHIP 5
6 Data Quality Problems REPORTING ANALYTICS DASHBOARD DATA WAREHOUSE 6
7 Data Quality Problems Issues with Consolidation Duplicates Fuzzy Duplicates Domain Specific Fuzzy Duplicates DATA WAREHOUSE 7
8 Data Quality Problems Issues with Consolidation Golden Record and Survivorship DATA WAREHOUSE 8
9 The Golden Record / Survivorship What is the Golden Record / Survivorship? The Golden Record or as many refer to as the Survivor Record, is the single accurate representation of the truth Why is it important? The implementation of Survivorship techniques can be long, complicated and tedious. It is important that a business come to an agreement on what Survivorship Criteria to implement. Failure to successfully implement Survivorship Schemas become detrimental to the efficiency and quality of the deduplication process. Ultimately results in loss of information and inaccurate Business Intelligence 9
10 The Golden Record Billing Joseph Vertido 123 Main St, Los Angeles CA Customer Service Joseph Vertido (800) Web Account Joseph Vertido 123 Main St,
11 The Golden Record Billing Joseph Vertido 123 Main St, Los Angeles CA Customer Service Joseph Vertido (800) Web Account Joseph Vertido 123 Main St,
12 The Golden Record Common/Generic Practices Most Reliable Source Web Account Joseph Vertido 123 Main St, Billing Joseph Vertido 123 Main St, Los Angeles CA Customer Service Joseph Vertido (800)
13 The Golden Record Common/Generic Practices Most Recently Created or Updated Date Stamp Name Address City State Zip Phone 10/25/2012 Joseph Vertido Empresa Rancho Santa Margarita CA (800) /7/2008 JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa **
14 The Golden Record Common/Generic Practices Most Complete Date Stamp Name Address City State Zip Phone 10/25/2012 Joseph Vertido Empresa Rancho Santa Margarita CA (800) /7/2008 JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa **
15 The Golden Record Common/Generic Practices Longest String Date Stamp Name Address City State Zip Phone 10/25/2012 Joseph Vertido Empresa Rancho Santa Margarita CA (800) /7/2008 JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa **
16 The Golden Record Common/Generic Practices Longest String 10/25/2012 Joseph Vertido Empresa Rancho Santa Margarita CA (800) /7/2008 JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa **
17 The Golden Record Common/Generic Practices Most Frequent Occurrence Date Stamp Name Address City State Zip Phone 10/25/2012 Joseph Vertido Empresa Rancho Santa Margarita CA (800) /7/2008 JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa Vertido, Joseph Avenida empressa
18 Survivorship 1) Understand Your Business Rules 2) Determine and Implement Column Level Rules Based Survivorship 18
19 Survivorship Column Level Survivorship Most Frequent Occurrence ID Name Address City State Zip Phone C-2119 Joseph Vertido Empresa Rancho Santa Margarita CA (800) JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa Vertido, Joseph Avenida empressa Determine Surviving Records Not Null or Blank Most Frequent Occurence 19
20 Survivorship Column Level Survivorship ID Name Address City State Zip Phone C-2119 Joseph Vertido Empresa Rancho Santa Margarita CA (800) JOSEPH Vertido Avenida empresa Rancho Santa Margarita CA Vertido, Joseph Avenida empressa C-2119 Vertido, Joseph Avenida empressa Rancho Santa Margarita CA Determine Surviving Records 20
21 Survivorship The Problem ID Name Address City State Zip Phone Date C-2119 Joseph Vertido Empresa Rancho Santa Margarita CA C-2119 Joe Vertido AAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAA AA AAAA AAAAAAAAA AAAAAAA C-2119 Vertido, J 123 Fake St /15/2012 C-2119 Vertido Avenida empressa /24/2009 Generic Most Complete Recent Rule Based Record Survivorship Only Goes So Far The Answer: Reference Data 21
22 Knowledge Centric Survivorship Validate critical information and other sensitive information in our data such as: Social Security, Address, Phone, and Name Having the knowledge of which data are good and bad changes the perspective for generating Survivorship Rules. Reference Data is not limited to third party data. One can also create their own knowledgebase (eg. Product Codes). 22
23 Knowledge Centric Survivorship Most Reliable Frequent Source Date Stamp Name Address City State Zip Phone 10/25/2008 Joseph Vertido 123 Fake St Fake City CA Most Recent Frequent Date Stamp Name Address City State Zip Phone 3/7/2012 Joseph Vertido 123 Fake St Fake City CA (800) Valid Address Valid Phone Date Stamp Name Address City State Zip Phone Joseph Vertido Avenida Empressa Rancho Santa Margarita CA a 23
24 Knowledge Centric Survivorship Date Stamp Name Address City State Zip Phone 10/29/2012 Joseph Vertido Avenida Empressa Rancho Santa Margarita CA (800)
25 Establishing Relationships ID Name Address City State Zip Phone C-2119 Joseph Vertido AvenidaEmpresa Rancho Santa Margarita CA C-2119 Joseph Vertido 2205 La Palma Ave Anaheim CA
26 Summary Survivorship is just as important as any process in the spectrum of data quality. Generic Survivorship < Column Based Survivorship < Knowledge Centric Survivorship Reference Data is your ally! 26
27 Thank You Bud Walker Director of Data Quality Solutions Joseph Vertido Data Quality Analyst
Six Steps to to Managing Data Data Quality with SQL Server Integration Services
A Melissa Data White Paper A Melissa Data White Paper A Melissa Data White Paper Six Steps to to Managing Data Data Quality Quality with SQL Server Integration Services 2 Six Steps to Total Data Quality
Enterprise Data Quality
Enterprise Data Quality An Approach to Improve the Trust Factor of Operational Data Sivaprakasam S.R. Given the poor quality of data, Communication Service Providers (CSPs) face challenges of order fallout,
Master Your Data and Your Business Using Informatica MDM. Ravi Shankar Sr. Director, MDM Product Marketing
Master Your and Your Business Using Informatica MDM Ravi Shankar Sr. Director, MDM Product Marketing 1 Driven Enterprise Timely Trusted Relevant 2 Agenda Critical Business Imperatives Addressed by MDM
ELECTRICIANS & PLUMBERS 2008-2018 OCCUPATIONAL GROWTH PROJECTIONS
ELECTRICIANS & PLUMBERS 2008-2018 OCCUPATIONAL GROWTH PROJECTIONS REPORT FOR IRVINE VALLEY COLLEGE JANUARY 2009 CENTER OF EXCELLENCE, ORANGE COUNTY Rancho Santiago Community College District 2323 N. Broadway,
Building the Bullet-Proof MDM Program
Building the Bullet-Proof MDM Program Evan Levy Partner, Baseline Consulting www.baseline-consulting.com Copyright 2007, Baseline Consulting. All rights reserved. 1 Agenda Understanding the critical components
Montage Whitepaper Data Governance- Part 1
Montage Whitepaper Data Governance- Part 1 Montage Whitepaper: Data Governance- Part1 INTRODUCTION What is Data Governance and why is it needed BUSINESS PRACTICES Reactive Business Intelligence vs. Proactive
January 2010. Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling. Sponsored by:
Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling January 2010 Claudia Imhoff, Ph.D Sponsored by: Table of Contents Introduction... 3 What is a Data Model?...
Monitor Your Brand. Do Your Customers and Competitors Know More About Your Brand than You Do? By: Beth Lee-Browning. Sponsored By:
Monitor Your Brand Do Your Customers and Competitors Know More About Your Brand than You Do? By: Beth Lee-Browning Sponsored By: Table of Contents Overview 2 Is Your Brand Healthy? Why Old Metrics No Longer
Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment?
Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment? How Can You Gear-up For Your MDM initiative? Tamer Chavusholu, Enterprise Solutions Practice
Master Your Data. Master Your Business. Empower your business with access to consolidated and reliable business-critical data
Master Your. Master Your Business. Empower your business with access to consolidated and reliable business-critical data Award-winning Informatica MDM provides reliable views of business-critical data
MDM is an operational problem. Customers are individuals too. A spade is a spade. Campaigning in a social world. What it takes to deliver
Better Intelligence, Smarter Decisions MDM is an operational problem Customers are individuals too A spade is a spade Campaigning in a social world What it takes to deliver 2 1 MDM provides the translation
Why You Still Need to Master Your Data Before You Master Your Business (Intelligence) Business Imperatives Addressed By Reliable, Integrated View
Why You Still Need to Master Your Data Before You Master Your Business (Intelligence) Business Imperatives Addressed By Reliable, Integrated View David Jordan Data Management Product Specialist 1 2 A simple
A Comprehensive Approach to Master Data Management Testing
A Comprehensive Approach to Master Data Management Testing Abstract Testing plays an important role in the SDLC of any Software Product. Testing is vital in Data Warehousing Projects because of the criticality
Business Intelligence & Product Analytics
2010 International Conference Business Intelligence & Product Analytics Rob McAveney www. 300 Brickstone Square Suite 904 Andover, MA 01810 [978] 691 8900 www. Copyright 2010 Aras All Rights Reserved.
Orange County Office Market Report
FIRST QUARTER 2015 Orange County Office Market Report Partnership. Performance. Avison Young - Irvine 2030 Main Street, Suite 150 Irvine, CA 92614 949.757.1190 www.avisonyoung.com FIRST QUARTER 2015 Orange
The Informatica Solution for Improper Payments
The Informatica Solution for Improper Payments Reducing Improper Payments and Improving Fiscal Accountability for Government Agencies WHITE PAPER This document contains Confidential, Proprietary and Trade
CHAPTER 1 INTRODUCTION
CHAPTER 1 INTRODUCTION 1. Introduction 1.1 Data Warehouse In the 1990's as organizations of scale began to need more timely data for their business, they found that traditional information systems technology
Enable Business Agility and Speed Empower your business with proven multidomain master data management (MDM)
Enable Business Agility and Speed Empower your business with proven multidomain master data management (MDM) Customer Viewpoint By leveraging a well-thoughtout MDM strategy, we have been able to strengthen
Phone Check. Reference Guide
Phone Check Reference Guide MELISSA DATA PHONECHECK Reference Guide COPYRIGHT Companies, names, and data used in examples herein are fictitious unless otherwise noted. No part of this document may be reproduced
ORACLE CUSTOMER HUB. Consolidate & govern a unique, complete and accurate set of Master Customer information from across the enterprise.
ORACLE CUSTOMER HUB KEY FEATURES TRUSTED MASTER CUSTOMER DATA Comprehensive Customer Data Model Roles and Hierarchical Relationships Vertical and Related Child Data Entities Industry Variants: Includes
Business Intelligence: Effective Decision Making
Business Intelligence: Effective Decision Making Bellevue College Linda Rumans IT Instructor, Business Division Bellevue College lrumans@bellevuecollege.edu Current Status What do I do??? How do I increase
Finding insight through data collection and linkage. Develop a better understanding of the consumer through consolidated and accurate data
Finding insight through data collection and linkage Develop a better understanding of the consumer through consolidated and accurate data An Experian Data Quality White Paper August 2014 Introduction...1
How To Get A Facebook Subpoena
GOVERNMENTAL AGENCIES Facebook, Inc. Security Department/ Custodian of Records 1601 S. California Avenue Palo Alto, CA 94304 Fax: 650-644-3229 Email: subpoena@facebook.com Note(s): Requests maybe faxed,
Measure Your Data and Achieve Information Governance Excellence
SAP Brief SAP s for Enterprise Information Management SAP Information Steward Objectives Measure Your Data and Achieve Information Governance Excellence A single solution for managing enterprise data quality
Getting started with a data quality program
IBM Software White Paper Information Management Getting started with a data quality program 2 Getting started with a data quality program The data quality challenge Organizations depend on quality data
Call center success. Creating a successful call center experience through data
Call center success Creating a successful call center experience through data CONTENTS Summary...1 Data and the call center...2 Operations...2 Business intelligence...2 Customer engagement...3 Poor data
Oracle Master Data Management MDM Summit San Francisco March 25th 2007
Oracle Master Data Management MDM Summit San Francisco March 25th 2007 Haidong Song Principal Product Strategy Manager Master Data Management Strategy 1 Agenda Master Data Management: What is it and what
A Road Map to Successful Customer Centricity in Financial Services. White Paper
A Road Map to Successful Customer Centricity in Financial Services White Paper This document contains Confidential, Proprietary and Trade Secret Information ( Confidential Information ) of Informatica
Data Warehouse and Business Intelligence Testing: Challenges, Best Practices & the Solution
Warehouse and Business Intelligence : Challenges, Best Practices & the Solution Prepared by datagaps http://www.datagaps.com http://www.youtube.com/datagaps http://www.twitter.com/datagaps Contact contact@datagaps.com
Making SAP Information Steward a Key Part of Your Data Governance Strategy
Making SAP Information Steward a Key Part of Your Data Governance Strategy Part 2 SAP Information Steward Overview and Data Insight Review Part 1 in our series on Data Governance defined the concept of
Data Quality The Fuel that Drives the Business Engine
Data Quality The Fuel that Drives the Business Engine Tony Fisher, DataFlux TM Corporation, Cary, NC ABSTRACT In today s information age companies will live and die by information. This information is
How to Capture Clean Data on Web Forms: 1-2-3
A Melissa Data White Paper How to Capture Clean Data on Web Forms: 1-2-3 Creating a Data Quality Firewall 2 How to Capture Clean Data on Web Forms: 1-2-3 Creating a Data Quality Firewall INTRODUCTION The
What Your CEO Should Know About Master Data Management
White Paper What Your CEO Should Know About Master Data Management A Business Use Case on How You Can Use MDM to Drive Revenue and Improve Sales and Channel Performance This document contains Confidential,
Enterprise Data Governance
Enterprise Aligning Quality With Your Program Presented by: Mark Allen Sr. Consultant, Enterprise WellPoint, Inc. (mark.allen@wellpoint.com) 1 Introduction: Mark Allen is a senior consultant and enterprise
Data Quality Tools. Developer APIs to Validate, Correct and Enrich Contact Data.
Data Quality Tools Developer APIs to Validate, Correct and Enrich Contact Data. Contact Data Quality Tools Fast, Flexible, Powerful The data quality developer tools from Melissa Data enable you to add
White Paper. Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices.
White Paper Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices. Contents Data Management: Why It s So Essential... 1 The Basics of Data Preparation... 1 1: Simplify Access
IBM Cognos Analysis for Microsoft Excel
IBM Software Group Data Sheet IBM Cognos Analysis for Microsoft Excel Highlights Explore and analyze trusted and secure BI data in a familiar spreadsheet format Develop high frequency and high priority
Normalization. Reduces the liklihood of anomolies
Normalization Normalization Tables are important, but properly designing them is even more important so the DBMS can do its job Normalization the process for evaluating and correcting table structures
Customer Centricity Master Data Management and Customer Golden Record. Sava Vladov, VP Business Development, Adastra BG
Customer Centricity Master Data Management and Customer Golden Record Sava Vladov, VP Business Development, Adastra BG 23 April 2015 What is this presentation about? Customer-centricity for Banking and
A M e l i s s a D a t a W h i t e P a p e r. Scalable Data Quality: A Seven Step Plan For Any Size Organization
A M e l i s s a D a t a W h i t e P a p e r Scalable Data Quality: A Seven Step Plan For Any Size Organization Scalable Data Quality: A Seven Step Plan for Any Size Organization The term Data Quality can
Building an Advancement Data Warehouse. created every year according to a study. Data Facilitates all Advancement Activities
Building an Advancement Data Warehouse Strategy, Planning, Implementation 10 18 bytes of data being created every year according to a study. Challenge for a data warehouse project is to turn data into
Cúram Business Intelligence and Analytics Guide
IBM Cúram Social Program Management Cúram Business Intelligence and Analytics Guide Version 6.0.4 Note Before using this information and the product it supports, read the information in Notices at the
Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop
Hadoop Data Hubs and BI Supporting the migration from siloed reporting and BI to centralized services with Hadoop John Allen October 2014 Introduction John Allen; computer scientist Background in data
Accurate identification and maintenance. unique customer profiles are critical to the success of Oracle CRM implementations.
Maintaining Unique Customer Profile for Oracle CRM Implementations By Anand Kanakagiri Editor s Note: It is a fairly common business practice for organizations to have customer data in several systems.
Healthcare Data Management
Healthcare Data Management Expanding Insight, Increasing Efficiency, Improving Care WHITE PAPER This document contains Confidential, Proprietary and Trade Secret Information ( Confidential Information
DATA GOVERNANCE AND INSTITUTIONAL BUSINESS INTELLIGENCE WORKSHOP
NERCOM, Wesleyan University DATA GOVERNANCE AND INSTITUTIONAL BUSINESS INTELLIGENCE WORKSHOP ORA FISH, EXECUTIVE DIRECTOR PROGRAM SERVICES OFFICE NEW YORK UNIVERSITY Data Governance Personal Journey Two
Comprehensive Data Quality with Oracle Data Integrator. An Oracle White Paper Updated December 2007
Comprehensive Data Quality with Oracle Data Integrator An Oracle White Paper Updated December 2007 Comprehensive Data Quality with Oracle Data Integrator Oracle Data Integrator ensures that bad data is
Data Quality Solutions for a Global Marketplace
Data Quality Solutions for a Global Marketplace Welcome to Melissa Data Your Partner in Data Quality Contact data quality. It s all we do and we do it better than anyone in the industry. Since 1985, Melissa
Drive business process improvement and performance with high quality data
Drive business process improvement and performance with high quality data Adam Bracey Solutions Architect abracey@informatica.com (317) 218-7661 1 1 Impact of Poor Data Quality Lack of Trust or Confidence
Real life experiences with Continuous Controls Monitoring (CCM) on Master Data. Pat Culpan Jeet Kadam
Real life experiences with Continuous Controls Monitoring (CCM) on Master Data Pat Culpan Jeet Kadam What is Master Data? Master data is the core data that is essential for operating an industry. The kind
Spend Enrichment: Making better decisions starts with accurate data
IBM Software Industry Solutions Industry/Product Identifier Spend Enrichment: Making better decisions starts with accurate data Spend Enrichment: Making better decisions starts with accurate data Contents
<Insert Picture Here> Oracle Master Data Management Strategy
Oracle Master Data Management Strategy Name Title The following is intended to outline our general product direction. It is intended for information purposes only, and may not be
10 FASTEST GROWING AND HIGHEST WAGE CAREERS IN ORANGE COUNTY
10 FASTEST GROWING AND HIGHEST WAGE CAREERS IN ORANGE COUNTY REPORT FOR SANTIAGO CANYON COLLEGE DECEMBER 2008 CENTER OF EXCELLENCE, ORANGE COUNTY Rancho Santiago Community College District 2323 N. Broadway,
Enterprise Intelligence - Enabling High Quality in the Data Warehouse/DSS Environment. by Bill Inmon. INTEGRITY IN All Your INformation
INTEGRITY IN All Your INformation R TECHNOLOGY INCORPORATED Enterprise Intelligence - Enabling High Quality in the Data Warehouse/DSS Environment by Bill Inmon WPS.INM.E.399.1.e Introduction In a few short
James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com
James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com Agenda Do you need Master Data Management (MDM)? Why Master Data Management? MDM Scenarios & MDM Hub Architecture Styles
API Endpoint Methods NAME DESCRIPTION GET /api/v4/analytics/dashboard/ POST /api/v4/analytics/dashboard/ GET /api/v4/analytics/dashboard/{id}/ PUT
Last on 2015-09-17. Dashboard A Dashboard is a grouping of analytics Widgets associated with a particular User. API Endpoint /api/v4/analytics/dashboard/ Methods NAME DESCRIPTION GET /api/v4/analytics/dashboard/
Business Intelligence: Using Data for More Than Analytics
Business Intelligence: Using Data for More Than Analytics Session 672 Session Overview Business Intelligence: Using Data for More Than Analytics What is Business Intelligence? Business Intelligence Solution
Membership - Data Validation
Data LAMPS provides 16 ways to review the member data in LAMPS. A list is provided for each step when there is inconsistent data, so the membership coordinator can review the item, and go to Member or
5 Reasons Master Data Management (MDM) is Critical to The Success of a Data Driven Health System & Accountable Care Organization (ACO)
5 Reasons Master Data Management (MDM) is Critical to The Success of a Data Driven Health System & Accountable Care Organization (ACO) 1. Prologue There s no denying that people are an organization s #1
Data Quality Considerations for Long Term Data Retention
Data Quality Considerations for Long Term Data Retention ABSTRACT IT shops are faced with new requirements to retain specific data for long periods of time; often decades. This is overloading operational
<Insert Picture Here> Extending Hyperion BI with the Oracle BI Server
Extending Hyperion BI with the Oracle BI Server Mark Ostroff Sr. BI Solutions Consultant Agenda Hyperion BI versus Hyperion BI with OBI Server Benefits of using Hyperion BI with the
Oracle OLAP. Describing Data Validation Plug-in for Analytic Workspace Manager. Product Support
Oracle OLAP Data Validation Plug-in for Analytic Workspace Manager User s Guide E18663-01 January 2011 Data Validation Plug-in for Analytic Workspace Manager provides tests to quickly find conditions in
Data Mining, Dashboards and Data Quality John Rome, Arizona State University. Review of BI Buzzwords
2005 Fall Conference Data Mining, Dashboards and Data Quality John Rome, Arizona State University OLAP Review of BI Buzzwords De-Normalized Operation Data Store (ODS) Data Mart Bit-Mapped Indexing Drill-Down
Reporting MDM Data Attribute Inconsistencies for the Enterprise Using DataFlux
Reporting MDM Data Attribute Inconsistencies for the Enterprise Using DataFlux Ernesto Roco, Hyundai Capital America (HCA), Irvine, CA ABSTRACT The purpose of this paper is to demonstrate how we use DataFlux
Information Resource Management Strategy and Direction
Enterprise Application Steering Committee June 10, 2004 Information Resource Management Strategy and Direction Bradley W. Skiles Director, Information Resource Management IT Enterprise Applications Purdue
An Introduction to Master Data Management (MDM)
An Introduction to Master Data Management (MDM) Presented by: Robert Quinn, Sr. Solutions Architect FYI Business Solutions Agenda Introduction MDM Definition MDM Terms Best Practices Data Challenges MDM
SAS Data Management Technologies Supporting a Data Governance Process. Dave Smith, SAS UK & I
SAS Data Management Technologies Supporting a Data Governance Process Dave Smith, SAS UK & I Agenda Data Governance What it is Why it s needed How to get started SAS technologies which can assist Data
GEHC IT Solutions. Centricity Practice Solution. Centricity Analytics 3.0
GEHC IT Solutions Centricity Practice Solution Centricity Analytics 3.0 Benefits of Centricity Analytics Business Intelligence Data Mining Decision-Support Financial Analysis Data Warehousing. No Custom
The Case for 8/8/2011. Agenda. Panel. Practical Steps to Get Started
The Case for Master Data Management Mark Raabe Director of Application Services Faegre & Benson LLP Thad Jampol Chief Technology Officer IntApp 1 2 3 4 5 Panel Mark Raabe Director of Application Services,
Mastering Big Data. Steve Hoskin, VP and Chief Architect INFORMATICA MDM. October 2015
Mastering Big Data Steve Hoskin, VP and Chief Architect INFORMATICA MDM October 2015 Agenda About Big Data MDM and Big Data The Importance of Relationships Big Data Use Cases About Big Data Big Data is
How to Achieve a Single Customer View
How to Achieve a Single Customer View 1.0 Introduction Clients want to obtain a Single Customer View of their contact database/crm system to let them understand the types of individuals/businesses that
Core Banking Business Intelligence: Transform Data into Information. Kevin Round, Product Manager Xamine BI Products
Core Banking Business Intelligence: Transform Data into Information Kevin Round, Product Manager Xamine BI Products The Importance of Knowing Arthur Clarke once observed that cave dwellers froze to death
Frequently Asked Questions Navigating IBHIS for LA County DMH Contract Providers
DMH Resources Q: Where can I access DMH documents? A: You can find DMH documents by visiting the DMH site at http://lacdmh.lacounty.gov/hipaa/ibhis_edi_homepage.htm Q: We need additional EFT/SIFT extract
Intelligent Mail Tray Label Vendors List
Company: SAP BUSINESSOBJECTS Contact: BRADEN MCCOLLUM Alias: Phone: (608) 793-7349 Address: 332 FRONT STREET 3 RD FLOOR Fax: (604) 622-5300 City: LACROSSE Email Address: BRADEN.MCCOLLUM@SAP.COM State:
Seeking Data Quality. Using Agile Methods to Test a Data Warehouse
Seeking Data Quality Using Agile Methods to Test a Data Warehouse Copyright Ideaca 2008 Agenda Seeking Data Quality Data Warehouse Overview The Value of a Data Warehouse Agile as Business Value Driver
HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE SOLUTIONS
HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE SOLUTIONS A white paper by: Dr. Mark Massias Senior Sales Engineer InterSystems Corporation HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE
HANDLING MASTER DATA OBJECTS DURING AN ERP DATA MIGRATION
HANDLING MASTER DATA OBJECTS DURING AN ERP DATA MIGRATION Table Of Contents 1. ERP initiatives, the importance of data migration & the emergence of Master Data Management (MDM)...3 2. 3. 4. 5. During Data
<Insert Picture Here> Master Data Management
Master Data Management 김대준, 상무 Master Data Management Team MDM Issues Lack of Enterprise-level data code standard Region / Business Function Lack of data integrity/accuracy Difficulty
Data Quality Management Maximize Your CRM Investment Return
Data Quality Management Maximize Your CRM Investment Return White Paper November 2007 We make your data usable Table of Contents Overview Introduction The importance of data quality to the CRM On Demand
Logical Modeling for an Enterprise MDM Initiative
Logical Modeling for an Enterprise MDM Initiative Session Code TP01 Presented by: Ian Ahern CEO, Profisee Group Copyright Speaker Bio Started career in the City of London: Management accountant Finance,
AMB-PDM Overview v6.0.5
Predictive Data Management (PDM) makes profiling and data testing more simple, powerful, and cost effective than ever before. Version 6.0.5 adds new SOA and in-stream capabilities while delivering a powerful
INTRODUCTION TO BUSINESS INTELLIGENCE What to consider implementing a Data Warehouse and Business Intelligence
INTRODUCTION TO BUSINESS INTELLIGENCE What to consider implementing a Data Warehouse and Business Intelligence Summary: This note gives some overall high-level introduction to Business Intelligence and
NOS for Data Analysis (802) September 2014 V1.3
NOS for Data Analysis (802) September 2014 V1.3 NOS Reference ESKITP802301 ESKITP802401 ESKITP802501 ESKITP802601 NOS Title Assist in Delivering Routine Data Analysis Studies Design and Implement Data
IBM Software A Journey to Adaptive MDM
IBM Software A Journey to Adaptive MDM What is Master Data? Why is it Important? A Journey to Adaptive MDM Contents 2 MDM Business Drivers and Business Value 4 MDM is a Journey 7 IBM MDM Portfolio An Adaptive
Data Quality Assessment. Approach
Approach Prepared By: Sanjay Seth Data Quality Assessment Approach-Review.doc Page 1 of 15 Introduction Data quality is crucial to the success of Business Intelligence initiatives. Unless data in source
A Simplified Framework for Data Cleaning and Information Retrieval in Multiple Data Source Problems
A Simplified Framework for Data Cleaning and Information Retrieval in Multiple Data Source Problems Agusthiyar.R, 1, Dr. K. Narashiman 2 Assistant Professor (Sr.G), Department of Computer Applications,
HANDLING MASTER DATA OBJECTS DURING AN ERP DATA MIGRATION
HANDLING MASTER DATA OBJECTS DURING AN ERP DATA MIGRATION Table Of Contents 1. ERP initiatives, the importance of data migration & the emergence of Master Data Management (MDM)...3 2. During Data Migration,
BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining
BUSINESS INTELLIGENCE Bogdan Mohor Dumitrita 1 Abstract A Business Intelligence (BI)-driven approach can be very effective in implementing business transformation programs within an enterprise framework.
W H I T E PA P E R : DATA QUALITY
Core Data Services: Basic Components for Establishing Business Value W H I T E PA P E R : DATA QUALITY WHITE PAPER: DATA QUALITY Core Data Services: Basic Components for Establishing Business Value 2 INTRODUCTION
How Microsoft IT India s Test Organization Enabled Efficient Business Intelligence
How Microsoft IT India s Test Organization Enabled Efficient Business Intelligence December 2013 The following content may no longer reflect Microsoft s current position or infrastructure. This content
META DATA QUALITY CONTROL ARCHITECTURE IN DATA WAREHOUSING
META DATA QUALITY CONTROL ARCHITECTURE IN DATA WAREHOUSING Ramesh Babu Palepu 1, Dr K V Sambasiva Rao 2 Dept of IT, Amrita Sai Institute of Science & Technology 1 MVR College of Engineering 2 asistithod@gmail.com
Discover, Cleanse, and Integrate Enterprise Data with SAP Data Services Software
SAP Brief SAP s for Enterprise Information Management Objectives SAP Data Services Discover, Cleanse, and Integrate Enterprise Data with SAP Data Services Software Step up to true enterprise information
A WHITE PAPER By Silwood Technology Limited
A WHITE PAPER By Silwood Technology Limited Using Safyr to facilitate metadata transparency and communication in major Enterprise Applications Executive Summary Enterprise systems packages such as SAP,
MDM and Data Warehousing Complement Each Other
Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There
Data Integration Alternatives Managing Value and Quality
Solutions for Enabling Lifetime Customer Relationships Data Integration Alternatives Managing Value and Quality Using a Governed Approach to Incorporating Data Quality Services Within the Data Integration
Making Business Intelligence Easy. Whitepaper Measuring data quality for successful Master Data Management
Making Business Intelligence Easy Whitepaper Measuring data quality for successful Master Data Management Contents Overview... 3 What is Master Data Management?... 3 Master Data Modeling Approaches...
Insurance Requirements
Insurance Requirements OCTAP Insurance Regulation Requirements OCTAP Regulations Section 5.2.3. Submission of evidence of insurance, in full force and effect, in such form as required by OCTAP, issued
Top Five Reasons Not to Master Your Data in SAP ERP. White Paper
Top Five Reasons Not to Master Your Data in SAP ERP White Paper This document contains Confidential, Proprietary and Trade Secret Information ( Confidential Information ) of Informatica Corporation and
Business Intelligence for Everyone
Business Intelligence for Everyone Business Intelligence for Everyone Introducing timextender The relevance of a good Business Intelligence (BI) solution has become obvious to most companies. Using information
ActivePrime's CRM Data Quality Solutions
Data Quality on Demand ActivePrime's CRM Data Quality Solutions ActivePrime s family of products easily resolves the major areas of data corruption: CleanCRM is a single- or multi-user software license