DMBoK Discipline: Master & Reference Data Management
This is the second in a series of webinars describing the Information Management disciplines as defined within the DAMA DMBoK.
Webinar #2 looks at the Information Management discipline “Master & Reference Data Management”.
Topics addressed include:
•What Master Data and Master Data Management
•The difference between Master and Reference Data & why it matters.
•Different types of MDM Architectures ranging from a full central hub, through hybrid to virtualised
•Why identifying the correct architecture for your types of Master Data is important.
•A MDM reference architecture, the typical components in the reference architecture and how to identify & select the right tooling for your environment and MD business needs.
•Single domain and Multi domain MDM solutions, the advantages & disadvantages and how to determine what's appropriate for you.
•Issues encountered when building the case for MDM.
RecordedMar 30 201546 mins
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Once upon a time, data, information, values, and lessons were all communicated by spoken word. Narrative was used to encode and shape data, quality control the transmission of the message, and keep the story alive.
That's the simple version. Dr Katherine O'Keefe is an expert in the use of fairy tales and the narrative patterns of folklore in literature. She uses these skills to help data governance clients figure out why their data-driven happy ending hasn't happened yet.
What you will learn:
The links between fairy tales and data management taxonomies
The differences between fairy tales and parables and the narrative patterns that drive good yarns
The link between stories, communication, and change management
How to reinterpret classic narratives to teach valuable data governance lessons.
There is a skill shortage everywhere. This session looks at how Castlebridge has begun to develop our own internal "apprenticeship" model for data professionals. This is a development that arose by accident more than design, and there are a number of key lessons in relation to a) skill profiling b) growing resource vs buying resource , c) long term sustainability of teams, and d) the role of organisations like DAMA and volunteering with DAMA in developing Information Apprentices
Brexit is happening, GDPR is rolling on, and the world is a cold and forbidding place.This webinar from internationally recognised Information Curmudgeon Daragh O Brien sets out some stark facts for organsiations about the journey to GDPR, particularly if you are UK based or deal with UK partners or subsidiaries.
Ethics is the new black in Information Management these days, or so it seems. From the European Data Protection Supervisor publishing an Opinion on Big Data Ethics, to countless articles about the call from data scientists for clarity on ethics, there is a growing consensus that "something must be done". The challenge arises in moving from abstract discussion to practical application. In this webinar, Katherine O'Keefe builds on themes from her presentations at EDBI and EDW to explain how Ethical Enterprise Information Management (E2IM) is the "coming wave" that we all need to learn how to ride.
Expect a game changer at least once a decade. A technology that disrupts the status quo and ideally improves our lives in terms of efficiencies or general well-being. Blockchain is this decade’s game changer. We’ve past the hype cycle and now both startups and well-established organizations are focusing on practical uses of a replicated general ledger beyond Bitcoin. Learn about blockchain and its three levels of maturity. Play a game to understand blockchain’s benefits. Identify the opportunities available to us within data management. Overcome the challenges that lie ahead to become the next blockchain billionaire!
It is widely accepted that Data Architecture sits firmly within the IT arena and it is best practice for Data Governance to be a business lead activity, so what have these two data management disciplines got in common?
Join this webinar to understand the relationship between Data Architecture and Data Governance and the benefits your organisation can expect to achieve when they work closely together.
Nick Keen, Data Governance Lead at Environment Agency
The Environment Agency works to create better places for people and wildlife, and support sustainable development within England. We’re responsible for:
· regulating major industry and waste
· treatment of contaminated land
· water quality and resources
· inland river, estuary and harbour navigations
· conservation and ecology
· managing the risk of flooding from main rivers, reservoirs, estuaries and the sea.
Good Data governance is especially important for the Environment Agency and we have millions of people depending on our data and information. The talk will show how
we undertake data governance and measure our performance; and how this supports our transition to an Open Data organisation
Nicola Askham, The Data Governance Coach, will provide an overview of Data Governance, clarifying what Data Governance is and explaining the constituent parts of a Data Governance Framework. Although there is a growing focus on this maturing Data Management discipline, the term is still often misused and misunderstood. Join Nicola to get a understanding of:
- What Data Governance is
- What it isn't
- The key components you need to include to successfully implement Data Governance
Kent Graziano, Senior Technical Evangelist for Snowflake Computing
Reinventing the Data Warehouse
Snowflake Computing is a team of data professionals changing how people use data. Our mission: to safely store, transform and analyze business data, making it easy for everyone to quickly gain insight. Founded with a vision to reinvent the data warehouse for big data, we built a completely new SQL data warehouse designed for the cloud and for today’s needs.
We started with a clear vision: a data warehouse should make it easy to bring together all your data and make it available to all of the users and systems that need to analyze it. Because conventional data warehouses and big data solutions are increasingly struggling to do that, we took a new approach: we reinvented the data warehouse from the cloud up for today’s data and analytics. The result: a data warehouse that is more flexible, scalable, and easy to use than anything else available.
This webinar will introduce you to the concepts and architecture behind the Snowflake Elastic Data Warehouse along with use cases and success stories.
NIGEL TURNER, Principal Consultant EMEA, Global Data Strategy
Many Customer Relationship Management (CRM) implementations fail to realise their promised benefits. The most common cause of failure is poor data quality, often the result of ineffective data governance and accountability. Poorly managed data leads to bad customer experience, undermines marketing and selling activities, causes brand damage and can create legal and regulatory compliance difficulties. Ultimately it can also undermine confidence and trust in any CRM system. Any CRM process or platform can only ever be as good as the data which supports it, but this simple truth is all too often forgotten.
Getting the data foundation right is essential for any successful CRM platform. This webinar will highlight how to achieve this. It will cover:
Why fit for purpose data is an essential bedrock of CRM
What can happen when CRM data is not fit for purpose
Why do problems occur?
How to get it right – strategies for CRM data success
The future – it’s already started
Key do’s and don’ts
Summary messages and learning points
J.D. Power rates cars, Nielsen rates TV shows, Morningstar rates stocks, and the Data Model Scorecard® rates data models. The Data Model Scorecard® is the industry’s benchmark on data model quality. You will receive an overview to the Scorecard and learn how to incorporate it into your organization’s architecture review board.
What’s the point of data modelling?
We don’t need models as we use packages
We’re an agile shop, no need for models.
We don’t build custom DBMS’s so don’t need Data models.
Ever hear any of these? Unfortunately, these and other similar comments are heard across organisations worldwide.
In part the problem is the way in which Data modelling has been taught with its focus on the development of technical solutions.
This webinar with describe why Data modelling is NOT just for use in DBMS design, in fact it hasn’t been for a long time. Also how the techniques we learned in the 70’s and 80’s for the pre-relational era are useful again now, and why data models are essential for COTS package implementation.
In the final part of the series, Chris Bradley explains a new Information Management discipline introduced in the forthcoming DAMA DMBoK v2.0
If you think that Data Integration is just about ETL think again. Chris will explain the different patterns, implications and uses of “Data Integration”
This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories.
How to align data strategy with business motivation and drivers
Why business & data strategies often become misaligned & the impact
Defining the core building blocks of a successful data strategy
The role of business and IT
Success stories in implementing global data strategies
Terry Mooney, Senior Solutions Architect at WhereScape
Is your decision support infrastructure failing to deliver real business benefits? Are you unable to get a global view of your data? Would you like to turn data into an asset that drives efficiency and profitability? Could Data Warehouse and Big Data Automation be the key to solving these problems?
Come to the DAMA International webinar and learn:
•How WhereScape enable organisations to prototype, build, deploy, manage and renovate their decision support infrastructure – including enterprise data warehouses, business-facing marts and big data solutions on Teradata, Oracle, SQL Server, PDW, Netezza, Greenplum, Hadoop and DB2
•Why organisations such as Tesco, HSBC and Nike are already using WhereScape to deliver business value from their data – saving time, money and reducing risk
•How WhereScape Data Warehouse and Big Data Automation software can build a data warehouse up to 10 times faster than traditional methods – see the software in action!
Brett Churchill, Senior BI Consultant EMEA, Yellowfin
Yellowfin is a global Business Intelligence (BI) and analytics software vendor passionate about making BI easy. Founded in 2003 in response to the complexity and costs associated with implementing and using traditional BI tools, Yellowfin is a highly intuitive, 100% web based reporting and analytics solutions. Yellowfin is a leader in mobile, collaborative and embedded BI as well as location intelligence and data visualisation.
This webinar is the next in the series following QFire’ Distributed Data Quality, showing the link between data quality and data visualisation.
QFire Software’s approach to Distributed Data Quality provides a framework for its Users to Understand, Collect, Validate, Protect, Monitor and Enrich their data. QFire a relatively new entrant to the data space sits across the data acquisition, preparation and quality areas as a low cost, low impact, simple and easy to use solution. In 2013 Gartner included QFire as a Cool Vendor in its MDM and Information Governance category and has subsequently also included reference to it in its Gartner Predicts for BI and Analytics 2015 report and the Data Quality Magic Quadrant for 2014 as one of the other vendors to be considered.
QFire will deliver a short walk through showing its Distributed Data Quality approach and ability to link to external BI systems using Yellowfin BI.
The premier organisation for Data Professionals worldwide
Welcome to the channel of DAMA, the international Data Management Association and the premier international organisation for data management professionals.
Data management involves the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
Data management professionals are involved in a wide range of activities aimed at ensuring that an enterprise benefits from its investment in its data, including enterprise architecture, data modelling, data definition, data quality, data stewardship, and the management of metadata.