Measuring data quality at all levels of the organisation through governance forums. Getting the complete picture of where you stand: Capturing information on what your stakeholders are actually prioritising in terms of getting data remediated. Getting the right level of support within the organisation to make data quality a priority. Ensuring data is of a… Read more.
Panel Discussion: Building on Strong Foundations – Delivering an Organisation-Wide Data Governance Framework
What are the key considerations around implementing policies, standards, and education to ensure that your data quality remains high and compliant? How do you keep data governance relevant and engaging for all so it remains high on the agenda? Data governance as the critical enabler? How do you package your data for use across the… Read more.
Let’s start how we mean to go on, in discussion making valuable industry connections. What is the biggest trust issue you see at present? What’s going on in your organisation in the sharing/usage/privacy/responsible use space?
Establishing a data quality governance framework that delivers genuine improvement. Driving change in a broad, complex & federated organisation. A fully joined-up data quality governance framework, connecting all areas of the organisation. Measuring data quality at all levels of the organisation, from senior executives to customer facing staff. Connecting the measurement of data quality to… Read more.
The concept of humanising data is nothing new to data scientists. The increasing experimentation with technologies such as voice, natural language processing, biometrics and facial and body mapping has radically enhanced our ability to interpret customer interactions and unleashed potential to create more emotional engagements. This shift requires a new set of skills from data officers… Read more.
Data quality and accuracy are not yet a cornerstone for most organisations. But it is critical to the functioning of your business. In this session, delegates will discuss: How do you make teams accountable for data when it’s not part of their core responsibilities? How do you make them care? How possible is it to… Read more.
Measuring the link between the quality of data and the value of it. Integrity and reconciliation of the data – ensuring that if your data hops through several systems, it doesn’t drop out! Ensuring the most comprehensive way to measure the integrity of your data. Quality in the context of data driven decision making.
Delegates will choose 2 topics to discuss with their peers. How effective can protections around data be? How legally binding are they? Tackling the inherent tension between open data and privacy- What is de-identified data really? Can that even be achieved with record level data? How should data ethics inform your policy? Data Literacy –… Read more.
Why do organisations need data strategy? How is your data strategy supports business strategy? Key components of data strategy Data strategy layers How do you know your data strategy is successful?
Understanding your data. Identifying & Protecting your most valuable asset. Profiling to improve quality. Business Glossary the ‘Single Source of Truth’.