Name: DMBok Discipline: Metadata Management
Start: 2015-11-17T12:15:00Z
End: 2015-11-17T12:59:23.000Z
Location: BrightTALK
Rating: 4.6

Welcome to the DAMA channel, the Data Management Association providing professional certification (https://www.dama.org/content/certification) & Data Management Body of Knowledge (https://www.dama.org/content/body-knowledge) to members around the world. Our presenters cover topics across the spectrum of Big Data, keeping current on the growing industry. Make sure you check out some of the benefits of membership (https://www.dama.org/content/about-us).

Data is a valuable commodity for any business, but it also goes beyond that and should be considered a business asset. Data professionals are at the heart of initiatives that extend throughout the business to build, demonstrate and maintain trust.

Learn how you can take critical steps to build trust in data practices by:

Aligning to business outcomes and objectives

Understanding the capabilities that exist in the market and how they can be leveraged

Addressing the fear factor : Where do I start? How do I do this?  Who can help?

Building a Trusted Data Foundation

* Tony Nason, Customer Success Manager, Tamr
* Greg Herrick, Sr Mgr, Analytics Center of Enablement Garage Lead/ MDS Data & Analytics & NA, Mondelez
* Bruno Azizza, Head of Data & Analytics- Google Cloud, Google

How machine learning and cloud adoption helped Mondelez improve sales performance with quality product data. 

Having accurate records on product sales is a must for any organization, especially when you’re snack powerhouse Mondelez International, whose brands include Oreo, Ritz Crackers, Sour Patch Kids and Triscuit.

But data quality issues prevented Mondelez from getting the full picture on how its snacks were selling, and trying to clean up their product data to form trusted records was an extremely manual and time-consuming process.

Mondelez turned to Tamr to curate and clean this data by using human-guided machine learning. They also decided to run Tamr on Google Cloud to leverage the platform’s scalability and flexibility. Mondelez now has accurate product sales records for more informed decisions around initiatives to increase revenue and improve overall performance.

Attend this webinar to learn:
• What business needs led Mondelez to change its approach to master data management
• Why using automation to harmonize product data was a priority
• How trusted product records are being used to drive sales and growth
• The connection between having high quality data and fully utilizing cloud platforms

How machine learning and cloud adoption helped Mondelez improve sales

Data Management covers a multitude of capabilities with tentacles in all parts of the organisation. Implementing “good” Data Management is exceptionally tough and takes much effort, time and energy. The session will cover:

• What is Data Management?
• Why does it matter?
• Where is the value – considering it doesn’t generate income?
• How can we “sell” the need for Data Management?

What is Data Management - an Introduction and Reminder

In a world where everyone is focused on AI, who is looking at the data that is feeding it? Lisa will cover 

• the ODI's theory of change and the risk of market imbalances that could lead to data-fearing or data-hoarding and how that is problematic AI
• Why data is critical infrastructure 
• How do you ensure trust and trustworthy data to support your outcomes?

What are you feeding your AI?

This session is for those interested in learning more about the challenges of creating data standards and an open data community in a sector that is just starting to embrace the value of data, digital and innovation. We’ll talk about OpenActive’s journey - a community led initiative, working across a range of data management disciplines, to balance both commercial and social objectives.

OpenActive: Getting more people active with open data

This webinar is the first in a series that has the overarching aim to unleash the data at the heart of any organisation. It is a manifesto for data-centric transformation for an organisation to become innovation-led, data-decision driven and data-democratised with highly automated and agile functions.

The first session establishes the foundations on which the series builds detailed specifications - these make the vision a deliverable reality. An organisation's data related functions and their inter-relationships are made clear and "data buzz-bytes" are condensed into their simple concepts within a shared data vocabulary. Typical data pain points are explored, and the session will indicate how a data blueprint framework can remediate these.

UNLEASH YOUR DATA - Data-Driven Transformation, At Scale, At Pace

Join this session to learn the basics about Data Science, what is it, why companies need it, how you can become a data scientist and more, with the opportunity to ask your questions to the panel of experienced data scientists.

Data Science Panel: Your Questions About Data Science Answered

A panel debate to close the week of open data-themed webinars in the joint event between DAMA UK and the BCS Data Management Specialist Group

DAMA UK & BCS Data Management SG Open Data Panel Discussion

Open Data in Banking and Energy

Open data can enable water companies to create value for water customers, communities and the environment. It can be used to help address some of the challenges that the water industry faces. Anita will talk about Ofwat’s H2Open publication and why open data is so important to the sector right now. She’ll cover:

The opportunities presented by open data
Discuss the enablers and challenges associated with open data, and;
Shine a light on some of the activities already underway in the industry.

Open Data In The Water Industry: A Case for Change

The last 10 years have seen an exponential growth in open and shared data, with a commensurate, huge increase in the social and economic value created. This talk will reflect on the ideas behind the development of open data as a concept and look back to the foundation, ten years ago, of the Open Data Institute(ODI). In those ten years the perception of data and its value to business and society has changed significantly. At the same time the volume and variety of data is in danger of outstripping our ability to harness its value and use it effectively, even with developments in ML and AI. I will introduce some examples of how the ODI has delivered on its mission to create 'A world where data works for everyone'. I will then look forward to the next ten years. The next decade surely presents even greater challenges and opportunities – a future in which open and shared data will have an even greater role to play.

The Open Data Institute Data Decade

Open data engrains a 'presumption to publish' unless there are clear, specific reasons, such as privacy or national security, not to do so. It is therefore important to understand what data could be used by those with hostile or malicious intent to adversely affect an individuals or communities, assets or the services which those assets exist to deliver, to cause commercial or economic harm or to jeopardise national security. Adopting a security-minded approach to the sharing of data does not in any way to undermine the principles of open data or to reduce the benefits that may be gained from greater data sharing, but helps to ensure sensitive information is protected in a way that is appropriate and proportionate to the risk. This presentation explores the work ongoing in this space, the challenges and vulnerabilities being addressed and the development of the tools that support the implementation of security-minded approach as business as usual.

Adopting a security-minded approach to open data

TfL first released data feeds to the public back in 2009, and its open data service has since been used by thousands of developers and in hundreds of apps. As the market and TfL’s strategy has developed in the intervening years, find out how the open data service has evolved alongside TfL’s own customer-facing products, and the benefits that developing the TfL Go travel app brings to the open data eco-system.

Driving open data innovation through product development

The Energy sector is facing a big challenge to decarbonise and enable the UK to reach Net Zero by 2050. Digital technology has a big part to play, and data is key to making the right decisions at the right time so it is critical that those who need it can get access. In this talk we will discuss the changing data landscape, the regulator’s shift to a default position of ‘Presumed Open’ and the opportunities this is creating for innovators across the energy sector and beyond.

Embracing open data in the energy sector

At this event in 2014, John Murray gave a presentation on UK open data which was relatively new at the time. Eight years on he will revisit the state of UK open data, highlighting the many achievements since then. He will also present some of the problems which have arisen around copyright and IPR. Finally, he will present some brief studies where open data has been used.

Open Data Revisited

What is OpenStreetMap? Despite the name, OSM is not really a map. It's a repository of open, linked data, used by everyone from hobbyists to major multinational corporations - and even its main rivals. Why does that matter to your organisation, and shouldn't you be doing more with it?

OpenStreetMap as mature, open, linked data

The presentation covers the background to the coronavirus dashboard, covering the different aspects of how we maintain it – including analysis, data pipelines, research and design and technology. There is a particular focus on open data and the use of application programming interfaces (APIs).

The UK coronavirus dashboard: open data during a pandemic

Data mesh, data as a product and decentralised data are all recent terms increasingly making headlines on how to pass data to business functions for exploitation and monetisation. However, how does this affect governance, and importantly ethics? Does monetising and treating data as an asset have negative connotations?

Data Monetisation and Governance: Navigating the Value and Ethics see-saw.

Chris Bradley continues to explain the different disciplines in the DAMA DMBoK 'wheel' - this time concentrating on. Metadata Management..

DMBok Discipline: Metadata Management

DAMA

DMBoK

Data Management

metadata

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DMBok Discipline: Metadata Management

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