Submitted to: Service Definition Document for BI / MI Data Services
|
|
|
- Colin Shields
- 10 years ago
- Views:
Transcription
1 Submitted to: Service Definition Document for BI / MI Data Services
2 Table of Contents 1. Introduction Data Quality Management Master Data Management MDM Implementation Methodology Data Governance Data Integration... 7 Page 2 w w w. z e n s a r. c o m
3 1. Introduction Zensar helps you to meet the data management goals to provide data assurance in terms of security, quality and accessibility. Zensar is focused on creation of accurate, consistent and transparent data content for its customers. It emphasizes usability of data for its intended purpose and audience. Zensar provides processes, tools, and metrics to help organizations use information effectively and efficiently in order to achieve their business objectives. Companies today look at integrating and analyzing structured and unstructured content across the enterprise. Our service offering in Data Management enables customers to effectively manage volumes of data and help convert information to insights. Our primary focus is on helping our customers to build and maintain Master Data repositories, tackle inconsistencies within their data, and cleanse and enrich it to gain competitive benefits while simultaneously adhering to compliance requirements. These Services are designed with a single objective in mind, Providing Maximum Business Value to Customers. Achieve organizational alignment on the governance of data management issues throughout the enterprise Define and implement data architecture encompassing data modelling, data flow analysis, tuning, storage, visualization, and infrastructure Identify, implement and maintain a single, unified view of reference data across the enterprise Ensure data security, through security policies and processes Establish processes that ensure good quality data on a regular and consistent basis Page 3 w w w. z e n s a r. c o m
4 2. Data Quality Management Zensar s specialists implement robust governance processes and assure quality via data de-duplication, data filtering, and error treatment across Retail, BFSI, Healthcare and Manufacturing sectors. As Part of Data Quality Management Services Following is the Services Included: Data Quality Strategic Initiative and Consulting Data Quality Assessment Study Data Quality Design and Implementation Data Profiling Solution DQ Technology Evaluation and Recommendation Figure 1 - Data Quality Management 3. Master Data Management Zensar s comprehensive MDM offerings optimize internal and external data management, and governance to help you make better-informed business decisions. Master Data Management Services include: Strategic and Operational Consultancy MDM Architecture and implementation Establishing a MDM Competency Centre Operations and Support Activities Page 4 w w w. z e n s a r. c o m
5 3.1 MDM Implementation Methodology Discover: Figure 2 - MDM Implementation Methodology Identify the MDM candidates within the enterprise data architecture Identify the source attributes which will be used for the rules definition for unification Understand the interfaces required from the MDM repository Design & Develop: MDM data architecture Business and solution architecture for MDM ETCL rules for cleansing and migration Build necessary interfaces for downstream and manual intervention Deliver: Check authenticity of unified view of the master data element. Drive use of MDM in business applications. Check point to refine and redefine the business rule Page 5 w w w. z e n s a r. c o m
6 4. Data Governance Zensar uses a high-performance data governance framework that embraces collaboration at all levels, we partner with you to drive business alignment, specialization, stewardship, responsibility, accountability, consistency, and scalability across the enterprise. Key Highlights: Focus on Enterprise Data Management Frameworks Data Architect to define Data Management Roadmap Domain experts to define the business process and related data flows Expertise on Data Management tools like CADIS, Ab Initio and Informatica Implementation Methodology for MDM and Data Quality Management Package/Product Fitment Consulting Figure 3 - Data Governance Page 6 w w w. z e n s a r. c o m
7 5. Data Integration Build an information-enabled enterprise by speedily transforming data into a key decision driver with Zensar s Data Transformation service. Our engineers leverage expertise in various ETL and ETL data transformation tools and operate across a variety of sectors. Data Integration key updates, trends, Customer pain areas Data Volumes increase, so does complexity these forces customers to move to leading ETL platforms like Informatica, Datastage etc. Complexity arising from multiple source systems, Integration challenges continue New tool versions upgrades Unstructured Data increasingly becoming part of the Data Integration scope Pain areas associated with existing ETL processes too complex, too much time to load, etc. -> Opportunities to optimize Key Service Offerings: Data Integration across various source systems and application ETL design, development, implementation as part of BI/DW implementation projects ETL / Data Integration optimization reducing load times, making process scalable etc. ETL operations & support ETL tool upgrades Migration from one ETL tool to another Data Quality solutions Page 7 w w w. z e n s a r. c o m
Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff
Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff The Challenge IT Executives are challenged with issues around data, compliancy, regulation and making confident decisions on their business
Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya
Chapter 6 Basics of Data Integration Fundamentals of Business Analytics Learning Objectives and Learning Outcomes Learning Objectives 1. Concepts of data integration 2. Needs and advantages of using data
Business Intelligence & Data Warehouse Consulting
Transforming Raw Data into Business Results In the rapid pace of today's business environment, businesses must be able to adapt to changing customer needs and quickly refocus resources to meet market demand.
EXPLORING THE CAVERN OF DATA GOVERNANCE
EXPLORING THE CAVERN OF DATA GOVERNANCE AUGUST 2013 Darren Dadley Business Intelligence, Program Director Planning and Information Office SIBI Overview SIBI Program Methodology 2 Definitions: & Governance
Proven Testing Techniques in Large Data Warehousing Projects
A P P L I C A T I O N S A WHITE PAPER SERIES A PAPER ON INDUSTRY-BEST TESTING PRACTICES TO DELIVER ZERO DEFECTS AND ENSURE REQUIREMENT- OUTPUT ALIGNMENT Proven Testing Techniques in Large Data Warehousing
Explore the Possibilities
Explore the Possibilities 2013 HR Service Delivery Forum Best Practices in Data Management: Creating a Sustainable and Robust Repository for Reporting and Insights 2013 Towers Watson. All rights reserved.
Compunnel. Business Intelligence, Master Data Management & Compliance (Healthcare) Largest Health Insurance Company in New Jersey.
Compunnel Business Intelligence, Master Data Management & Compliance (Healthcare) Largest Health Insurance Company in New Jersey Business Intelligence, Master Data Management & Compliance (Healthcare)
Request for Information Page 1 of 9 Data Management Applications & Services
Request for Information Page 1 of 9 Data Management Implementation Analysis and Recommendations About MD Anderson M. D. Anderson is a component of the University of Texas System and was created by the
POLAR IT SERVICES. Business Intelligence Project Methodology
POLAR IT SERVICES Business Intelligence Project Methodology Table of Contents 1. Overview... 2 2. Visualize... 3 3. Planning and Architecture... 4 3.1 Define Requirements... 4 3.1.1 Define Attributes...
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
Trends In Data Quality And Business Process Alignment
A Custom Technology Adoption Profile Commissioned by Trillium Software November, 2011 Introduction Enterprise organizations indicate that they place significant importance on data quality and make a strong
Business Intelligence. Advanced visualization. Reporting & dashboards. Mobile BI. Packaged BI
Data & Analytics 1 Data & Analytics Solutions - Overview Information Management Business Intelligence Advanced Analytics Data governance Data modeling & architecture Master data management Enterprise data
SAP BusinessObjects Information Steward
SAP BusinessObjects Information Steward Michael Briles Senior Solution Manager Enterprise Information Management SAP Labs LLC June, 2011 Agenda Challenges with Data Quality and Collaboration Product Vision
Analytics Strategy Information Architecture Data Management Analytics Value and Governance Realization
1/22 As a part of Qlik Consulting, works with Customers to assist in shaping strategic elements related to analytics to ensure adoption and success throughout their analytics journey. Qlik Advisory 2/22
Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer
Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer Terry Bouziotis: Director, IT Enterprise Master Data Management JJHCS Bob Delp: Sr. MDM Program Manager
Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success
Developing an MDM Strategy Key Components for Success WHITE PAPER Table of Contents Introduction... 2 Process Considerations... 3 Architecture Considerations... 5 Conclusion... 9 About Knowledgent... 10
Data Management Emerging Trends. Sourabh Mukherjee Data Management Practice Head, India Accenture
Data Management Emerging Trends Sourabh Mukherjee Data Management Practice Head, India Accenture Data has always been an important asset for companies as it is the basis for making business decisions.
Effective Data Governance
perspective Effective Data Governance Abstract Data governance is no more just another item that is good to talk about and nice to have, for global data management organizations. This PoV looks into why
Fortune 500 Medical Devices Company Addresses Unique Device Identification
Fortune 500 Medical Devices Company Addresses Unique Device Identification New FDA regulation was driver for new data governance and technology strategies that could be leveraged for enterprise-wide benefit
Let the Potential of Your Business Emerge. Paragon Solutions Inc. Proprietary
Let the Potential of Your Business Emerge About Paragon Solutions Paragon provides a full spectrum of consulting services, from advisory through solution design and implementation, for tighter alignment
HEALTH DATA ANALYTICS OPTIMIZED CLINICAL AND FINANCIAL OUTCOMES DELIVERED FOR YOUR POPULATION HEALTH MANAGEMENT PROGRAMS
HEALTH DATA ANALYTICS OPTIMIZED CLINICAL AND FINANCIAL OUTCOMES DELIVERED FOR YOUR POPULATION HEALTH MANAGEMENT PROGRAMS HOW WE HELP YOU MAXIMIZE THE VALUE OF YOUR POPULATION HEALTH INITIATIVES Indegene
DATA GOVERNANCE AT UPMC. A Summary of UPMC s Data Governance Program Foundation, Roles, and Services
DATA GOVERNANCE AT UPMC A Summary of UPMC s Data Governance Program Foundation, Roles, and Services THE CHALLENGE Data Governance is not new work to UPMC. Employees throughout our organization manage data
SOLUTION BRIEF CA ERWIN MODELING. How Can I Manage Data Complexity and Improve Business Agility?
SOLUTION BRIEF CA ERWIN MODELING How Can I Manage Data Complexity and Improve Business Agility? CA ERwin Modeling provides a centralized view of key data definitions to help create a better understanding
MDM Challenges and Solutions from the Real World
MDM Challenges and Solutions from the Real World Toronto MDM Summit 2008 [email protected] www.adastracorp.com Agenda What is Master Data Management? Definitions by example How can I learn from the
MANAGING USER DATA IN A DIGITAL WORLD
MANAGING USER DATA IN A DIGITAL WORLD AIRLINE INDUSTRY CHALLENGES AND SOLUTIONS WHITE PAPER OVERVIEW AND DRIVERS In today's digital economy, enterprises are exploring ways to differentiate themselves from
PPDM Well Master and Enterprise MDM Tools
PPDM Well Master and Enterprise MDM Tools 2013 PPDM Data Management Symposium Calgary Kelly Guillory & Prasanna Balakrishnan Agenda About Us Paper Background What People Want Business Value of MDM MDM
SOLUTION BRIEF CA ERwin Modeling. How can I understand, manage and govern complex data assets and improve business agility?
SOLUTION BRIEF CA ERwin Modeling How can I understand, manage and govern complex data assets and improve business agility? SOLUTION BRIEF CA DATABASE MANAGEMENT FOR DB2 FOR z/os DRAFT CA ERwin Modeling
Enabling Data Quality
Enabling Data Quality Establishing Master Data Management (MDM) using Business Architecture supported by Information Architecture & Application Architecture (SOA) to enable Data Quality. 1 Background &
How Global Data Management (GDM) within J&J Pharma is SAVE'ing its Data. Craig Pusczko & Chris Henderson
How Global Data Management (GDM) within J&J Pharma is SAVE'ing its Data Craig Pusczko & Chris Henderson Abstract See how J&J Pharma organizational alignment drove the evolution of Global Data Management
IBM InfoSphere Information Server Ready to Launch for SAP Applications
IBM Information Server Ready to Launch for SAP Applications Drive greater business value and help reduce risk for SAP consolidations Highlights Provides a complete solution that couples data migration
Master data value, delivered.
Master data value, delivered. Master Data Management making the most of information assets Master data consists of the information that is key to the core operations of a business. Master data may include
Master Data Management
Master Data Management Delivering Best Version of Truth Master Data Management Helps Create and Maintain a Single Corporate Data View Over the past several decades, many organizations have built various
Importance of Data Governance. Vincent Deeney Solutions Architect iway Software
Importance of Data Governance Vincent Deeney Solutions Architect iway Software Some Puzzles Which way is this guy looking? Copyright 2007, Information Builders. Slide 2 Some Puzzles Copyright 2007, Information
Priyo Lahiri Partner Technical Consultant [email protected] Microsoft Corporation
Priyo Lahiri Partner Technical Consultant [email protected] Microsoft Corporation Introduction to Business Intelligence Trends in BI BI (Insights) in SharePoint 2010 Demo Business Insights in Microsoft
Qlik Consulting helps you accelerate time to value, mitigate risk, and achieve better ROI 1/35
Qlik Consulting helps you accelerate time to value, mitigate risk, and achieve better ROI 1/35 2/35 3/35 Introduction The Qlik Americas Consulting Catalog is a comprehensive collection of offerings, developed
Agile Master Data Management A Better Approach than Trial and Error
Agile Master Data Management A Better Approach than Trial and Error A whitepaper by First San Francisco Partners First San Francisco Partners Whitepaper Executive Summary Market leading corporations are
Three Fundamental Techniques To Maximize the Value of Your Enterprise Data
Three Fundamental Techniques To Maximize the Value of Your Enterprise Data Prepared for Talend by: David Loshin Knowledge Integrity, Inc. October, 2010 2010 Knowledge Integrity, Inc. 1 Introduction Organizations
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
Vermont Enterprise Architecture Framework (VEAF) Master Data Management Design
Vermont Enterprise Architecture Framework (VEAF) Master Data Management Design EA APPROVALS Approving Authority: REVISION HISTORY Version Date Organization/Point
An RCG White Paper The Data Governance Maturity Model
The Dataa Governance Maturity Model This document is the copyrighted and intellectual property of RCG Global Services (RCG). All rights of use and reproduction are reserved by RCG and any use in full requires
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
Informatica PowerCenter Data Virtualization Edition
Data Sheet Informatica PowerCenter Data Virtualization Edition Benefits Rapidly deliver new critical data and reports across applications and warehouses Access, merge, profile, transform, cleanse data
Key Drivers of Analytical Maturity Among Healthcare Providers
Key Drivers of Analytical Maturity Among Healthcare Providers January, 2015 Written by: International Institute for Analytics Sponsored by: Executive Summary Firms of all shapes and sizes today are confronted
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
The Data Integration Company. Enterprise Data Integration. Maximizing the Business Value of Your Enterprise Data
The Data Integration Company Enterprise Data Integration Maximizing the Business Value of Your Enterprise Data Informatica solutions have allowed us to simplify access to information from our management
Cisco Data Preparation
Data Sheet Cisco Data Preparation Unleash your business analysts to develop the insights that drive better business outcomes, sooner, from all your data. As self-service business intelligence (BI) and
HHSC Enterprise Information Technology. Master Data Management
for Date: February 2, 2010 Prepared by: Enterprise Data Warehouse project Table of Contents 1. Problem Definition...2 Data Collection...2 Data Cleansing...2 Data Matching...3 Data Standardization and Ongoing
Making Data Work. Florida Department of Transportation October 24, 2014
Making Data Work Florida Department of Transportation October 24, 2014 1 2 Data, Data Everywhere. Challenges in organizing this vast amount of data into something actionable: Where to find? How to store?
Big Data for Investment Research Management
IDT Partners www.idtpartners.com Big Data for Investment Research Management Discover how IDT Partners helps Financial Services, Market Research, and Investment Management firms turn big data into actionable
IBM InfoSphere Discovery: The Power of Smarter Data Discovery
IBM InfoSphere Discovery: The Power of Smarter Data Discovery Gerald Johnson IBM Client Technical Professional [email protected] 2010 IBM Corporation Objectives To obtain a basic understanding of the
CONNECTING DATA WITH BUSINESS
CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm
Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com
Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing 1 P a g e Table of Contents What is the key to agility in Data Warehousing?... 3 The need to address requirements completely....
Informatica Data Quality Product Family
Brochure Informatica Product Family Deliver the Right Capabilities at the Right Time to the Right Users Benefits Reduce risks by identifying, resolving, and preventing costly data problems Enhance IT productivity
Custom Consulting Services Catalog
Custom Consulting Services Catalog Meeting Your Exact Needs Contents Custom Consulting Services Overview... 1 Assessment & Gap Analysis... 2 Requirements & Portfolio Planning... 3 Roadmap & Justification...
Modernizing Your Data Strategy
Modernizing Your Data Strategy Understanding SAS Solutions for Data Integration, Data Quality, Data Governance and Master Data Management Gregory S. Nelson ThotWave Technologies, LLC. Lisa Dodson SAS 1
Oracle Data Integrator Overview and Demo. Maria Mundrova ETL Developer/DW Consultant
Oracle Data Integrator Overview and Demo Maria Mundrova ETL Developer/DW Consultant BGOUG Spring Conference, 2009 Presentation Agenda Oracle Data Integrator What is ODI? ELT Approach Architecture Oracle
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,
SAP Agile Data Preparation
SAP Agile Data Preparation Speaker s Name/Department (delete if not needed) Month 00, 2015 Internal Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may
Customer Case Studies on MDM Driving Real Business Value
Customer Case Studies on MDM Driving Real Business Value Dan Gage Oracle Master Data Management Master Data has Domain Specific Requirements CDI (Customer, Supplier, Vendor) PIM (Product, Service) Financial
Anatomy of a Decision
[email protected] @BlueHillBoston 617.624.3600 Anatomy of a Decision BI Platform vs. Tool: Choosing Birst Over Tableau for Enterprise Business Intelligence Needs What You Need To Know The demand
Salesforce Certified Data Architecture and Management Designer. Study Guide. Summer 16 TRAINING & CERTIFICATION
Salesforce Certified Data Architecture and Management Designer Study Guide Summer 16 Contents SECTION 1. PURPOSE OF THIS STUDY GUIDE... 2 SECTION 2. ABOUT THE SALESFORCE CERTIFIED DATA ARCHITECTURE AND
Enterprise Data Quality Dashboards and Alerts: Holistic Data Quality
Enterprise Data Quality Dashboards and Alerts: Holistic Data Quality Jay Zaidi Bonnie O Neil (Fannie Mae) Data Governance Winter Conference Ft. Lauderdale, Florida November 16-18, 2011 Agenda 1 Introduction
Enterprise Data Management
TDWI research TDWI Checklist report Enterprise Data Management By Philip Russom Sponsored by www.tdwi.org OCTOBER 2009 TDWI Checklist report Enterprise Data Management By Philip Russom TABLE OF CONTENTS
Industry Models and Information Server
1 September 2013 Industry Models and Information Server Data Models, Metadata Management and Data Governance Gary Thompson ([email protected] ) Information Management Disclaimer. All rights reserved.
JOURNAL OF OBJECT TECHNOLOGY
JOURNAL OF OBJECT TECHNOLOGY Online at www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, November-December 2008 What s Your Information Agenda? Mahesh H. Dodani,
A Holistic Framework for Enterprise Data Management DAMA NCR
A Holistic Framework for Enterprise Data Management DAMA NCR Deborah L. Brooks March 13, 2007 Agenda What is Enterprise Data Management? Why an EDM Framework? EDM High-Level Framework EDM Framework Components
SQL Server Master Data Services A Point of View
SQL Server Master Data Services A Point of View SUBRAHMANYA V SENIOR CONSULTANT [email protected] Abstract Is Microsoft s Master Data Services an answer for low cost MDM solution? Will
IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE. Copyright 2012, SAS Institute Inc. All rights reserved.
IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE ABOUT THE PRESENTER Marc has been with SAS for 10 years and leads the information management practice for canada. Marc s area of specialty
Reduce and manage operating costs and improve efficiency. Support better business decisions based on availability of real-time information
Data Management Solutions Horizon Software Solution s Data Management Solutions provide organisations with confidence in control of their data as they change systems and implement new solutions. Data is
Introduction to Glossary Business
Introduction to Glossary Business B T O Metadata Primer Business Metadata Business rules, Definitions, Terminology, Glossaries, Algorithms and Lineage using business language Audience: Business users Technical
Business Intelligence Tool Migration. Title: Domain: Client: Location:
Business Intelligence Tool Migration Title: Domain: Client: Location: Business Objects to MicroStrategy Conversion Payment Services Major Payments Processing Services Provider Northville, MI Project Description
Informatica Master Data Management
Informatica Master Data Management Improve Operations and Decision Making with Consolidated and Reliable Business-Critical Data brochure The Costs of Inconsistency Today, businesses are handling more data,
IBM Information Management
IBM Information Management January 2008 IBM Information Management software Enterprise Information Management, Enterprise Content Management, Master Data Management How Do They Fit Together An IBM Whitepaper
Simplified Management With Hitachi Command Suite. By Hitachi Data Systems
Simplified Management With Hitachi Command Suite By Hitachi Data Systems April 2015 Contents Executive Summary... 2 Introduction... 3 Hitachi Command Suite v8: Key Highlights... 4 Global Storage Virtualization
Increasing Efficiency across the Value Chain with Master Data Management
APPLICATIONS A WHITE PAPER SERIES MASTER DATA MANAGEMENT ENSURES THAT THE ORGANIZATION MAINTAINS CRITICAL DATA IN SYSTEMATIZED ORDER TO AVOID DUPLICATION AND INCONSISTENCY. LARGE ORGANIZATIONS RESORT TO
Data Migration in SAP environments
Framework for Data Migration in SAP environments Does this scenario seem familiar? Want to save 50% in migration costs? Data migration is about far more than just moving data into a new application or
The Importance of Data Governance
The Importance of Data Governance Hans Heerooms Information Builders Copyright 2011, Information Builders. Slide 1 Objective of this presentation Explain the concepts and benefits of Enterprise Information
Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy
EWSolutions Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy Anne Marie Smith, Ph.D. Director of Education, Principal Consultant [email protected] PG 392 2004 Enterprise
Cisco Unified Security Metrics: Measuring Your Organization s Security Health
Cisco Unified Security Metrics: Measuring Your Organization s Security Health SESSION ID: SEC-W05 Hessel Heerebout Manager, Application Security and Governance Cisco @InfoSec_Metrics You will take away
Project, Program & Portfolio Management Help Leading Firms Deliver Value
in collaboration with Project, Program & Portfolio Help Leading Firms Deliver Value Managing Effectively & Efficiently Through an Enterprise PMO Program & Portfolio : Aligning IT Capabilities with Business
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
BI STRATEGY FRAMEWORK
BI STRATEGY FRAMEWORK Overview Organizations have been investing and building their information infrastructure and thereby accounting to massive amount of data. Now with the advent of Smart Phones, Social
Building a Successful Data Quality Management Program WHITE PAPER
Building a Successful Data Quality Management Program WHITE PAPER Table of Contents Introduction... 2 DQM within Enterprise Information Management... 3 What is DQM?... 3 The Data Quality Cycle... 4 Measurements
THOMAS RAVN PRACTICE DIRECTOR [email protected]. An Effective Approach to Master Data Management. March 4 th 2010, Reykjavik WWW.PLATON.
An Effective Approach to Master Management THOMAS RAVN PRACTICE DIRECTOR [email protected] March 4 th 2010, Reykjavik WWW.PLATON.NET Agenda Introduction to MDM The aspects of an effective MDM program How
<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
Vermont Enterprise Architecture Framework (VEAF) Identity & Access Management (IAM) Abridged Strategy Level 0
Vermont Enterprise Architecture Framework (VEAF) Identity & Access Management (IAM) Abridged Strategy Level 0 EA APPROVALS EA Approving Authority: Revision
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
APPROACH TO EIM. Bonnie O Neil, Gambro-BCT Mike Fleckenstein, PPC
USING A FRAMEWORK APPROACH TO EIM Bonnie O Neil, Gambro-BCT Mike Fleckenstein, PPC AGENDA The purpose of an EIM Framework Overview of Gartner's Framework Elements of an EIM strategy t Implementation of
Collaboration. Michael McCabe Information Architect [email protected]. black and white solutions for a grey world
Collaboration Michael McCabe Information Architect [email protected] black and white solutions for a grey world Slide Deck & Webcast Recording links Questions and Answers We will answer questions at
Key Issues for Data Management and Integration, 2006
Research Publication Date: 30 March 2006 ID Number: G00138812 Key Issues for Data Management and Integration, 2006 Ted Friedman The effective management and leverage of data represent the greatest opportunity
Scalable Enterprise Data Integration Your business agility depends on how fast you can access your complex data
Transforming Data into Intelligence Scalable Enterprise Data Integration Your business agility depends on how fast you can access your complex data Big Data Data Warehousing Data Governance and Quality
Master Data Management. Zahra Mansoori
Master Data Management Zahra Mansoori 1 1. Preference 2 A critical question arises How do you get from a thousand points of data entry to a single view of the business? We are going to answer this question
IBM Big Data in Government
IBM Big in Government Turning big data into smarter decisions Deepak Mohapatra Sr. Consultant Government IBM Software Group [email protected] The Big Paradigm Shift 2 Big Creates A Challenge And an
Information Management & Data Governance
Data governance is a means to define the policies, standards, and data management services to be employed by the organization. Information Management & Data Governance OVERVIEW A thorough Data Governance
