The document discusses the key steps involved in preparing for a successful Master Data Management (MDM) implementation. It outlines understanding what MDM is and gaining business buy-in, defining business objectives, addressing critical planning questions, and focusing on important preparation steps such as identifying data sources and assigning data stewards. Proper preparation is emphasized as essential to ensuring an MDM initiative's success.
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Gartner: Master Data Management FunctionalityGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Requirements for a Master Data Management (MDM) Solution - PresentationVicki McCracken
Working on Requirements for a Master Data Management solution and looking for thoughts on how to approach the requirements? This is an overview presentation that complements my guide on how to approach requirements for a Master Data Management solution (Requirements for an MDM Solution). You may be able to leverage all or some of the approach described in this guide to formulate your approach.
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Gartner: Master Data Management FunctionalityGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Requirements for a Master Data Management (MDM) Solution - PresentationVicki McCracken
Working on Requirements for a Master Data Management solution and looking for thoughts on how to approach the requirements? This is an overview presentation that complements my guide on how to approach requirements for a Master Data Management solution (Requirements for an MDM Solution). You may be able to leverage all or some of the approach described in this guide to formulate your approach.
Master Data Management - Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
The what, why, and how of master data managementMohammad Yousri
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space.
The presentation is summarizing the article of Microsoft in a simple way.
https://msdn.microsoft.com/en-us/library/bb190163.aspx
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Strategic Business Requirements for Master Data Management SystemsBoris Otto
This presentation describes strategic business requirements of master data management (MDM) systems. The requirements were developed in a consortium research approach by the Institute of Information Management at the University of St. Gallen, Switzerland, and 20 multinational enterprises.
The presentation was given at the 17th Amercias Conference on Information Systems (AMCIS 2011) in Detroit, MI.
The research paper on which this presentation is based on can be found here: http://www.alexandria.unisg.ch/Publikationen/Zitation/Boris_Otto/177697
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
DAMA DMBoK 2.0 keynote presentation at DAMA Australia November 2013.
Overview of DMBOK, what's different in 2.0, and how the DMBOK co-exists and successfully interoperates with other frameworks such as TOGAF and COBIT
Updated with revised DMBoK 2 release date
chris.bradley@dmadvisors.co.uk
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
What is a lasting solution to the sea of errors, headaches, and losses caused by inconsistent and inaccurate master data such as customer and product records? This is the data that your business counts on to operate business processes and make decisions. But this data is often incomplete or in conflict because it resides in multiple IT systems. Master Data Management (MDM)'s programs are the solution to this problem, but these programs can fail without the investment and involvement of business managers.
Listen to Rob Karel, Forrester analyst, and Jignesh Shah from Software AG to learn about a new, process-driven approach to MDM and why it is a win-win for both business and IT managers.
Visit us at http://www.softwareag.com Become part of our growing community: Facebook: http://www.facebook.com/softwareag Twitter: http://www.twitter.com/softwareag LinkedIn: http://www.linkedin.com/company/software-ag YouTube: http://www.youtube.com/softwareag
This presentation covers the definition of Master Data Management, outlines 5 essential elements of MDM, and describe 10 real-world best practices for MDM and data governance and 4 advanced topic areas, based on years of experience in the field.
Master Data Management - Practical Strategies for Integrating into Your Data ...DATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as Customers, Products, Vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
Master Data Management - Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
The what, why, and how of master data managementMohammad Yousri
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space.
The presentation is summarizing the article of Microsoft in a simple way.
https://msdn.microsoft.com/en-us/library/bb190163.aspx
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Strategic Business Requirements for Master Data Management SystemsBoris Otto
This presentation describes strategic business requirements of master data management (MDM) systems. The requirements were developed in a consortium research approach by the Institute of Information Management at the University of St. Gallen, Switzerland, and 20 multinational enterprises.
The presentation was given at the 17th Amercias Conference on Information Systems (AMCIS 2011) in Detroit, MI.
The research paper on which this presentation is based on can be found here: http://www.alexandria.unisg.ch/Publikationen/Zitation/Boris_Otto/177697
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
DAMA DMBoK 2.0 keynote presentation at DAMA Australia November 2013.
Overview of DMBOK, what's different in 2.0, and how the DMBOK co-exists and successfully interoperates with other frameworks such as TOGAF and COBIT
Updated with revised DMBoK 2 release date
chris.bradley@dmadvisors.co.uk
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
What is a lasting solution to the sea of errors, headaches, and losses caused by inconsistent and inaccurate master data such as customer and product records? This is the data that your business counts on to operate business processes and make decisions. But this data is often incomplete or in conflict because it resides in multiple IT systems. Master Data Management (MDM)'s programs are the solution to this problem, but these programs can fail without the investment and involvement of business managers.
Listen to Rob Karel, Forrester analyst, and Jignesh Shah from Software AG to learn about a new, process-driven approach to MDM and why it is a win-win for both business and IT managers.
Visit us at http://www.softwareag.com Become part of our growing community: Facebook: http://www.facebook.com/softwareag Twitter: http://www.twitter.com/softwareag LinkedIn: http://www.linkedin.com/company/software-ag YouTube: http://www.youtube.com/softwareag
This presentation covers the definition of Master Data Management, outlines 5 essential elements of MDM, and describe 10 real-world best practices for MDM and data governance and 4 advanced topic areas, based on years of experience in the field.
Master Data Management - Practical Strategies for Integrating into Your Data ...DATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as Customers, Products, Vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
Open new opportunities with the AdsBridge traffic tracker. As our partner you will get refreshingly useful benefits that will bring success to your business.
This deck explains the self-serviceable data encryption feature that Hitachi Solutions Ecommerce provides to help merchants stay atop their data security compliance at all times.
La seva identitat es remonta al segle XV on es representava a l’interior dels temples. Segons la universitat de La Sorbona de Paris, La Passió de Cervera és la més antiga d’Europa.
L’any 1969 és declarada d’interès públic i gaudeix d’una mediàtica reputació que la posa a primer terme pel que fa a aquesta tradició. És doncs, la versió moderna d’aquelles representacions medievals.
El projecte tracta de posar en escena una reconstrucció el més fidel possible del Misteri de la Passió de Cervera .
Aquesta representació està entre la cerimònia religiosa i el teatre.
És teatre religiós medieval, molt diferent al concepte de teatre que entenem actualment.
L'inici històric d'aquestes representacions es remunta al segle XV .
A l'any 1488, els Paers de la Vila encarreguen als Preveres de fer La Passió.
Al segle XIX es representà la "Santa Passió de Nostre Senyor Jesucrist", segons el text de Fra. Anton de Sant Jeroni, monjo de Montserrat, el qual havia estat imprès a Lleida. La primera temporada de "Cristo, Misterio de Pasión" es representà al teatre Principal.
Des de l'any 1941 fins al 1966 es representà al "Teatro Círculo". I el dia 12 de març de 1967 s'estrenava el Gran Teatre de La Passió de Cervera.
Davant la importància històrica i social, l'any 1969, el Ministeri d'Informació i Turisme, declarà d'Interès Públic les representacions de La Passió de Cervera.
In this presentation, we'll help you better understand Master Data Management (MDM) and data governance, present some useful MDM and data governance best practices, talk about what works and what doesn’t, cover the importance of a holistic approach, and discuss how to get the political aspects right.
This presentation will cover the definition of Master Data Management, describe potential MDM hub architectures, outline 5 essential elements of MDM, and describe 11 real-world best practices for MDM and data governance, based on years of experience in the field.
Making Information Management The Foundation Of The Future (Master Data Manag...William McKnight
More complex and demanding business environments lead to more heterogeneous systems environments. This, in turn, results in requirements to synchronize master data. Master Data Management (MDM) is an essential discipline to get a single, consistent view of an enterprise\’s core business entities – customers, products, suppliers, and employees. MDM solutions enable enterprise-wide master data synchronization. Given that effective master data for any subject area requires input from multiple applications and business units, enterprise master data needs a formal management system. Business approval, business process change, and capture of master data at optimal, early points in the data lifecycle are essential to achieving true enterprise master data.
Master Data Management's Place in the Data Governance Landscape CCG
For many organizations, Master Data Management is a necessity to ensure consistency and accuracy of essential business entities. It further plays alongside data architecture, metadata management, data quality, security & privacy, and program management in the Data Governance ecosystem.
Join CCG's data governance subject matter experts as they overview the fundamentals of Master Data Management at our Atlanta-based Data Analytics Meetup. This event will discuss how to enable components of data governance within your organization and review how to best leverage Microsoft's SQL Server Master Data Services.
Data Ownership:
Most companies and organizations have this notion that data governance should be taken care of ,
by the Information Technology department, because IT owns the system which stores the data.
The owner of the data is responsible for providing attributes to the data and answerable to any questions regarding data.
The people answerable to these kinds of data are generally the ones involved in defining business rules,
data cleaning and consolidation.?
Data Stewardship:?
Data stewards should be favorably those people who are familiar with the data. It is often seen that
there is need to deploy several people, to handle and correct data,
whereas a single data steward could have done the same job. Since the data being handled involves
organizational level data, it is important that there are governance rules for this process.?
If there is some certain rule in the data which causes large data volumes to fail, this rule should be fixed while data cleansing.
So it is important to take care of the amount of clean data sent to the stewards,
since we are not aware of which rules might trigger what amount of data.?
Choice of data stewards is again a difficult selection.
Data Security:?
Although the master data is data on organization level, but there is some confidentiality level linked to it.?
Not every employee has the authorization to view its aspects.
Security rules can be applied to the data.
The various departments in the organization must set different rules to the data they own.
They need to grant permissions to these rules , so that the user can view the data.
A large company can have data sourced out of many regions.
It is to be ensured that they are responsible to correct only their own data.?
Data survivorship:
There are some guidelines which are set up by data governance.
These rules can often change over hthe time according to new data sources being added.
The changes made to the data , are communicated to the organization so that data stewards and users can understand the process.
So from a data steward's point of view, it is important to apply security rules to the people who are involved
in data handling and correction. This is a result of how data governance and data security can be applied while implementing MDM.?
?
The article is intended as a quick overview of what effective master data management means in today’s business context in terms of risks, challenges and opportunities for companies and decision makers. The article is structured in two main areas, which cover in turn the importance of an effective master data
management implementation and the methodology to get there.
Enterprise-Level Preparation for Master Data Management.pdfAmeliaWong21
Master Data Management (MDM) continues to play a foundational role in the Data Management Architecture of every 21st century enterprise. In a forward-looking organization, MDM is significant in the Enterprise Integration Hub.
Key takeaways:
-Identify with the key reasons for failing Data Governance initiatives
-Uncover the commonly used Data Governance terms and their meanings
-Learn the Framework for a successful Data Governance Program
Data Governance with Profisee, Microsoft & CCG CCG
Review CCG's methodology and framework for DG that allows organizations to assess DG faster, deriving actionable insights that can be quickly implemented with minimal disruption. Review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
In addition, Profisee introduces a popular component of data governance, MDM. Profisee is a Master Data Management software company making it easy and affordable for companies of all sizes to build a trusted foundation of data across the enterprise. Leveraging an MDM strategy within the context of Data Governance drives organizational alignment, ensures data quality, and accelerates Digital Transformation
Data Governance and MDM | Profisse, Microsoft, and CCGCCG
CCG will introduce a methodology and framework for DG that allows organizations to assess DG faster, deriving actionable insights that can be quickly implemented with minimal disruption. CCG will also review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights. In addition, Profisee will introduce a popular component of data governance, MDM.
Overcoming the Challenges of your Master Data Management JourneyJean-Michel Franco
This Presentaion runs you through all the key steps of an MDM initiative. It considers and showcase the key milestones and building blocks that you will have to roll-out to make your MDM
journey
-> Please contact Talend for a dedicated interactive sessions with a storyboard by customer domain
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
Similar to Preparing For a Master Data Management Implemenation (20)
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Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
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AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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https://sumonreview.com/ai-pilot-review/
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Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
2. Introduction
Effective preparation is key to ensuring the success of master data management (MDM) initiatives. First,
your organization will want to understand what is involved with your MDM initiative, including determining
what MDM is and is not. It’s critical that your business leaders are on board with your initiative, so that
as you outline your business objectives for MDM, they will reflect the business’s priorities. You can then
address critical questions that help you properly plan for your implementation. Once your organization
answers these questions, you can start focusing on specific steps that will help ensure implementation
success.
2 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
3. When you and your company choose to take on a master data management (MDM) project, you are making
a commitment to develop, cultivate and maintain a perpetually attuned and active approach toward the
most effective and sound data administration possible for your organization. MDM has become a necessity,
particularly in regulated industries. One of the key reasons behind this is that MDM is essential to proper
data management and data governance.
While an MDM project requires a large commitment from everyone involved, the value is undeniable to
companies that make adherence to data governance a priority. MDM entails more than a series of broad-
stroke efforts to make sure your files are easily accessible, and protected with firewalls. Those features
are critical, but in MDM, you manage the finer points in data, including uniformity, accountability, accuracy,
semantic consistency, and general stewardship. Attention to such minutia offers you easier access to your
files long into the future, since you will not need to try to wade through inconsistencies and idiosyncrasies.
These unchecked human errors can cost large chunks of time and resources for everyone involved in the
search for a single document or asset, so it is worth it to put a system in place to help conform the data as a
part of the company’s shared master data assets.
As you begin to plan your MDM strategy, you will look for the most uniform and consistent set of central
data identifiers and unique attributes used by internal staff, client prospects, customers, suppliers, vendors,
websites, accountants, and anyone else who might need access to the data.
Understand what MDM is and is not
MDM is quickly becoming
a must-have, particularly in
regulated industries.
What MDM is
3 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
4. What MDM is not
Before implementing an MDM project, IT managers must understand a few things to avoid during the
process. Sometimes, in an effort to organize and streamline operations, it is easy to jump in too quickly and
approach data management from the wrong angle. Preconceived ideas and assumptions can prove costly
and counterproductive for your IT team and your business. Here are two misconceptions to consider from
the outset to save time, delays, and resources:
• MDM is not another database
Brian Berry at BlumShapiro offered a few insights on MDM, noting that many in the
tech industry — especially those with little or no MDM exposure or experience —
often fall for the illusion that MDM acts like any other database.1
Your MDM will have
its own set of rules and best practices to help you design a clean and simple data
infrastructure, which you and your IT team can run smoothly to make it easier for
everyone involved with the data to access files in an instant.
• CRM and MDM are not one and the same
Berry points out that while many customer-relationship management (CRM) software
packages tout their own MDM capabilities, you still need to create a separate
repository for MDM where the data governance group can manage the data. This is
because you do not want the data governance group to have to manage data in a
process-oriented system like CRM.
4 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
5. Andy Hayler, in Computer Weekly, offers a crucial piece of advice as you and your IT team move forward
in your MDM efforts, which is that your business — especially including each of your company’s leaders —
needs to work with you in taking ownership of your company’s data.2
Data is everyone’s concern; it’s not
just IT’s problem to fix. Passing the baton back to IT defeats the purpose of creating a universal system for
master data. It is important that business leaders see data as valuable as any bankable asset in order for
MDM to work effectively.
Make sure your business
leaders are on board
Data is everyone’s concern. It’s not just IT’s problem to fix.
5 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
6. With your business leaders and IT team ready to work in tandem, it is important to sit down —
probably during several sessions over the course of many months — and establish the objectives
you collectively have for your MDM initiative. Prepare yourselves and management for a process
that will, along the way and in the end, yield measurable positive results.
In order to achieve these results, you first have to define your business objectives. Here’s a list of
one organization’s objectives as an example3
:
1. All of the organization speaks a common and consistent language regarding data
and information terminology.
2. A reasonable level of standardization across the MDM processes exists.
3. MDM processes are handled consistently across the organization.
4. The MDM lifecycle is effectively controlled, while allowing for speed and agility.
5. A group is in place to make key, critical business decisions regarding the data.
This group is recognized, respected and utilized throughout the organization.
6. At all times, the data is at a balanced level of data quality (cost to achieve vs.
benefit realized).
7. The master data enables effective decision making.
8. Data is a core capability of the organization.
With all this in mind, you can start working toward your goal of incorporating MDM into your
business, making it an integral part of your company’s success.
Define your business objectives
6 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
7. • What do you need to do to achieve your ultimate goals?
• What sequence should you follow to achieve those goals?
• What resources will you need throughout the process?
• What benefits will you receive and when? Should you look for incremental
and periodic results as benchmarks or wait until completion?
• What will this program cost?
Start with a core team to
establish criteria and ask the
right questions.
While everyone will ultimately become involved with stewardship of your MDM program, you will
start with a core team to establish criteria and implement your plan. Once you have your team in
place, start the process by asking these types of questions:
Address critical planning questions
7 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
8. 1. Identify all sources of master data
Identifying all sources of your master data is an essential exercise that will jumpstart your MDM program.
This step is crucial and may take some time, but making sure you cover all your data locations will help
prevent you from needing to backtrack in the future. Once you start delving into your source data, you will
probably discover multiple databases that you and your IT had no idea existed. You might also find many
data redundancies right away, in addition to the more nuanced data duplications.
Once you and your team carefully analyze and answer these questions — as specifically as you can for
your organization — you can start focusing on specific steps, such as the following:
Using the first step as a springboard, identify everyone who produces or uses your business’s master
data. This step will help you manage your master data efficiently and effectively.
2. Pinpoint the producers and users of your organization’s master data
Focus on important
preparation steps
8 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
9. Once you have determined data sources, you need a team to help you take that data to the next phase.
These stewards will take ownership of the data and work with business to ensure that business goals are
met. Try to appoint stewards who were the owners of or are familiar with the ownership of each particular
master data source.
4. Assign data stewards
This team, or council, will have a textbook knowledge and a global perspective on the MDM program.
You will entrust this group to work as a direct support for the steering and success of the program,
reporting to you and your immediate team to quickly note deviations, omissions, and other issues, so you
can work together to come up with strategies to make quick and effective corrections. You award these
council members the authority to make vital decisions about master data, such as how long you will keep
it. These critical team members also will determine changes to master data, as well as how you will audit
that data. Select this team carefully since you and your team will need to make hundreds of critical data
decisions during the process of MDM transition. Along the way, you will need a well-defined and trusted
decision-making council to help come to agreements regarding data. The lack of a well-oiled governing
body can slow down, obstruct, or even completely halt the MDM process, so choose this team wisely.
5. Create a data management governance council
Collect and analyze all the metadata within your master data. Your metadata represents salient
information and key attributes about specific pieces of master data. In this step, you will deconstruct this
data and figure out each piece’s attributes and meaning. Details to look for include the attribute’s name,
type of data, allowed values, constraints and limitations, default values, dependencies, and with whom
the data originated, as well as who is now responsible for it. Determining the owner of the data is the
most important step in this phase, but it is also the most challenging.
3. Dig into your metadata
MDM models are available either as standalone offerings or within MDM platforms. Using one of these
options, determine how to tune your MDM model to reflect how you want your master data to look and how
you want everyone to interact with it. Look at various attributes of your data, including size, data type, and
values allowed. In this step, you will also map between the current data and sources versus your master
data model. Again, by working with a dedicated and savvy team committed to streamlining your data
processes, you will come to the right conclusions.
6. Tune your MDM model
9 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
10. With an understanding of the scope and requirements of your master data at hand, you can establish
the appropriate infrastructure to support your MDM requirements. This should be done with a thorough
understanding of your existing IT environment in order to effectively coordinate with other systems that your
MDM platform will eventually interact with.
7. Create your infrastructure
It makes sense to create guidelines to ensure compliance going forward. You will continue to monitor old
source data – and maintain quality for any incoming data – for the life of your master data program. You will
monitor and calibrate production and consumption of new data as needed as part of your ongoing efforts.
8. Monitor new data production and consumption
Much of your maintenance for the future will involve keeping key team players in place once you have
achieved your goals for implementation of an MDM program. Your data stewards — usually people working
on the business side since they understand the nature of the data as it pertains to the business itself — will
work with you and your IT team to ensure governance and quality control of master data.
9. Establish a plan for maintenance
Key team players should stay involved,
even after an MDM implementation.
10 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
11. Reaping the benefits of
effective planning
We’ve reviewed the important aspects as you plan for implementing MDM. These include understanding
MDM in your organization, ensuring business buy-in, establishing MDM business objectives, and
addressing critical questions and specific implementation steps. Undertaking the effort to understand and
address the important planning aspects for MDM will help enable your organization to minimize risk for
your MDM implementation and ensure a successful outcome for both IT and business.
Do you need help getting your
MDM implementation started?
Innovative Systems has developed world-class expertise to
help with rapid, accurate, risk-free MDM implementations.
Call us to learn more about how we can help your
organization succeed.
1. https://www.linkedin.com/pulse/5-critical-success-factors-initiating-master-data-management-berry?articleId=82754675122
2. http://www.computerweekly.com/feature/Tips-for-master-data-management-best-practice
3. http://www.dataversity.net/8-goals-for-your-master-data-management-program/
11 PREPARING FOR A MASTER DATA MANAGEMENT IMPLEMENTATION
12. Innovative Systems has been providing software and consulting services to major companies in
more than 40 countries for over 45 years. We deliver both on-premises and cloud-based (SaaS)
multi-domain enterprise data management solutions that can be deployed for operational or decision
support requirements.
World Headquarters
790 Holiday Drive
Pittsburgh, PA 15220-8127 US
Phone: 800.622.6390
International Call: +1.412.937.9300
E-mail: info@innovativesystems.com
About Innovative Systems, Inc.
www.innovativesystems.com
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25 Old Broad Street
London, EC2N 1HQ UK
Phone: +44 (0) 20 7422 6310
E-mail: info@innovativesystems.com
Rapid, accurate, risk-free MDM