DAMA UK

DAMA UK is delighted to be partnering with IRM UK to bring you the Data, AI & Analytics Conference Europe 2024. A KEY DATE FOR YOUR DIARY, here you’ll find the foremost gathering of Europe’s leading minds in Data, Artificial Intelligence and Analytics and is definitely not to be missed. The conference is committed to driving forward the realms of data governance, cutting-edge AI trends, and strategic leadership in the digital age. We invite you to join us as we delve into transformative insights and actionable solutions tailored to empower Data & AI professionals.  Immerse yourself in visionary keynotes, dynamic panel discussions, and interactive sessions led by trailblazing figures in the industry and experience: 🔶Diverse Learning Tracks: Choose from an unparalleled selection of dynamic tracks, each meticulously curated to cater to both novices and experts. 🔷Boundless Networking: Forge meaningful connections during the networking breaks. 🔶Real-World Applications: Learn not just the theory but also the practical applications of Data & AI. Hear first-hand accounts of how leading organisations are revolutionising their strategies. Take a look at our keynote speakers and register here: https://lnkd.in/eKc99SXG Individual and corporate tickets are available for single or multiple days. #data #ai #strategicleadership #datagovernance #datatrends #dataconference #DAMAUk

📢 Members only webinar - tomorrow! David Finlay is a supply chain process and data consultant with extensive industry experience in Medical Devices and Pharma. David's expertise includes supply chain management, business relationship management, program/project execution, and master data management. He believes in the power of collaboration, data quality, and effective systems to empower individuals in their work. David is passionate about cross-functional process improvement and is an SAP Super User. In this webinar, he will look at how master data quality is increasingly being seen as paramount and why MDQM matters for individuals and regulated industries. He will provide a Q&A about the certification process, training options, and insights on the exam and, by the end of this webinar, you will be able to: ▶️Understand the value of the MDQM certification ▶️Determine if MDQM aligns with your career goals ▶️Navigate the certification path, from training options to exam preparation Ready to enhance your data quality expertise and professional credentials? Check for your email link to register ✍️ #data #dataquality #MDQM #datacareer #DAMAUK

📢 Members-only webinar. What is resilience? And, more importantly, what isn’t resilience? Michelle Hall, a seasoned data and digital professional, is hosting this very unique webinar. Michelle brings over 25 years of experience in utilities, media, consulting, and technology firms across Australia and the United Kingdom. As a certified coach and trainer, Michelle specialises in developing and empowering data and digital professionals to achieve their potential and fulfil their career ambitions. During this webinar, which is designed to debunk some entrenched beliefs about resilience, and optimise your well-being. Michelle will: 👉🏼 Define resilience 👉🏼Provide strategies to develop your resilience 👉🏼 Discuss team resilience Slightly out of the norm for us, we’re excited to bring you a refreshing webinar which all DAMA UK members can benefit from. Frankly, we could all do with ‘bouncing back’ every now and then! Keep an eye out for your link to register 👀 #data #damauk #datagovernance #datamanagement

It’s true! Even the Olympics face managing the critical role of data in driving its evolution and success, particularly in the context of the Paris 2024 Games. The Conversation UK highlights that the transformation of the Olympics is deeply rooted in the collection, management and utilisation of data. And this isn't just about storing information - it's about the strategic use of data to enhance the overall Olympic experience. As is the case with many businesses and organisations, data has become the backbone of the Olympics' ability to adapt to the digital age and continue to grow. It does this in a number of ways: 🏃♀️📈 Performance Analysis: Data is crucial for analysing athletes' performances. Advanced analytics, often powered by AI, can track and interpret vast amounts of performance data in real-time which allows coaches and athletes to optimise training and strategy. 🪪 Security: Ensuring the safety of athletes, spectators and staff at such a large-scale event relies heavily on data. Security teams use data to monitor potential threats, track movements and respond quickly to incidents. 📢 Broadcasting and Sports Reporting: Data drives the shift in how the Olympics are broadcasted and reported. How, you may ask? Well, rather than just traditional TV viewership numbers, the focus is now on real-time data across all digital platforms. This data helps to understand viewer behaviour and preferences, enabling more targeted and effective content distribution. All in all, data is not just a tool but a foundational element in the ongoing evolution and future success of the Olympic Games. It enables the IOC to adapt to new challenges, optimise operations, enhance the spectator experience and secure new economic opportunities in a time where making proper use of such data is becoming a necessity. Check out more on this in The Conversation's article below. 👇 https://lnkd.in/e2V6CZ4R #data #DAMAUK #analysis #digitalgrowth #businesschange #strategic

📢 Join us for this public webinar hosted by Raj Jethwa. Raj is a renowned business growth and transformation consultant and subject matter expert in Data, Analytics, and AI. He leverages his extensive expertise to offer top-tier consulting services tailored to the needs of senior business leaders. Through his profound understanding of business use cases and adeptness in modern technology landscapes, Raj serves as a trusted advisor, helping businesses harness the power of their data responsibly and effectively. We often hear of data professionals struggling to demonstrate the business value of data and, likewise, ‘business transformation’ has been a hot topic over recent years. So, how lucky are we to have Raj bring the two together sharing his insights and knowledge in this webinar open to all. Don't miss this opportunity to unlock business potential and discover how data, analytics and AI can drive business transformation. CLICK HERE TO REGISTER 👉🏼 https://lnkd.in/ebBrCjvu #datainsights #businessgrowth #transformation #change #dataanalytics #ai

What should come first; the ML algorithm or the data prep? 🤔 Andrew Jones says that with experience, his answer is always data preparation. His checklist is comprehensive and demonstrates a deep understanding of the importance of data preparation in machine learning. Here are a few additional steps and considerations we thought of that could even further enhance the process: ✅ Data privacy and compliance - are we adhering to regulations? Ensure all data processing adheres to privacy laws and regulations, anonymising or encrypting sensitive data as necessary. ✅ Class imbalance handling - how do we address uneven distributions? Address imbalanced classes using techniques like resampling, synthetic data generation or adjusting class weights to improve model performance. ✅ Pipeline automation and monitoring - how do we ensure long-term performance? Automate data pipelines and set up continuous monitoring systems to ensure efficient workflows and maintain model performance post-deployment. Incorporating these steps will further ensure that ML models are not only robust and performant but also ethical and reproducible. #data #dataprocessing #dataprivacy #compliance #datasystems #DAMAUK

📢 Members - did you miss it? What is resilience? And, more importantly, what isn’t resilience? This was definitely a unique and fascinating webinar during which Michelle Hall, a seasoned data and digital professional, aimed to debunk some entrenched beliefs about resilience and optimise well-being. Especially for those of us chained to our screens all day Michelle (also a certified coach and trainer) manages to find that sweet spot where she empowers data and digital professionals to achieve their potential and fulfil their career ambitions whilst also looking after themselves. Well worth catching up with 👉🏼 https://lnkd.in/dXCu58UN #dataprofessional #wellbeing #digital #career #certifiedcoach #DAMAUK

Is it time to rethink the way we do Data Governance frameworks? According to TechRadar the answer is yes as organisations are struggling to align Data Governance with business goals. The areas in which organisations are struggling most are: 👉 Ensuring access to data 👉 Compliance with internal standards Is there anything that can be done to simultaneously provide solutions to both of the above challenges? Enter: computational governance. Computational governance is described as an automated, consistent framework that maintains governance rules throughout the data lifecycle. This approach is proposed to overcome current difficulties, streamline data processes and ensure adherence to standards and regulations, ultimately enhancing the value extraction from data assets. It does this in a number of ways: ⚙️ Automation for consistency, time-saving and compliance. Unlike traditional methods that often require significant manual intervention, computational governance automates governance processes. Since the governance framework is automated and bypassing the system isn’t an option, reliance on individuals to follow governance policies is reduced. It can also automatically enforce policies which minimise the risk of non-compliance and data breaches. 🕐 Real-time enforcement. With computational governance, governance rules are imposed consistently in real-time, ensuring that data quality, integrity, compliance and security standards are maintained continuously throughout the data lifecycle. The way it works is that a predefined set of policies are built into the system and any data projects which go through the system will be checked in real-time to ensure they adhere to relevant standards before reaching production. 🤝 Seamless integration. Computational governance works with existing data tools and technologies, eliminating the need for costly and time consuming consolidation efforts. This adaptability allows organisations to enforce governance without disrupting their current systems. Overall, computational governance transforms how organisations manage data by embedding governance into the data processes themselves, ensuring that data governance is not an afterthought but a fundamental aspect of data management. Read more at: https://lnkd.in/gF6RSGUJ #datagovernance #dataprocesses #datamanagement #DAMAUK

Should data modelling become more accessible and integrated into daily project activities? Juha Korpela discusses the challenges and solutions related to encouraging people to engage in higher-level data modelling within organisations. Juha not only points out issues of inclusivity but also suggests barriers caused by cost and a potential lack of incentive. Here are a few thoughts to go alongside Juha’s on how we can address some of these challenges and enhance the adoption of data modelling. 👉 The emphasis on demonstrating both short-term and long-term benefits is crucial. Showcasing quick wins through automation and templates can significantly boost adoption. For instance, providing pre-built templates for common data models and automating parts of the modelling process can save time and demonstrate immediate value. 👉 Organisations may also want to consider simplifying complex methodologies and creating educational resources that make modelling more approachable. Workshops, interactive training sessions and easy-to-understand documentation can help bridge the gap between data professionals and other stakeholders. 👉 Embedding data modelling into the fabric of our engineering practices is essential. By encouraging incremental modelling activities within projects, data professionals can build a repository of models for the organisation that grow organically and provide immediate utility. Regular reviews can ensure these models evolve and stay relevant. 👉 Lastly, developing an Operating Model that supports both bottom-up and top-down approaches is key. This framework should include clear guidelines, roles and responsibilities to ensure consistency and quality across projects. Of course, good data governance practices should help with this so don't neglect your data governance. Ultimately, the goal is to create an environment where data modelling is seen not as extra work, but as an integral part of delivering high-quality solutions. What are your thoughts on data modelling right now? 💭 #datamodelling #data #datagovernance #DAMAUK

In the context of data, a schema is a description of the overall logical structure of a database expressed in a data definition language (such as the data definition component of SQL). It is a structured framework or blueprint that defines the organisation, structure, and constraints of data within a database or data system and it specifies how data is stored, organised, and related to one another, ensuring consistency and clarity in how data is managed and accessed. The key components of a schema are tables, fields/columns, data types, relationships, constraints, and indexes and there are 3 key types of schema: Physical Schema: This describes how data is physically stored, including file structures, indexing methods, and storage allocation Logical Schema: This describes the logical structure of the data, including tables, columns, relationships, and constraints, independent of physical storage details View Schema: This defines the specific way data is presented to users, often through views or queries that aggregate or filter data from one or more tables. The Importance of a Schema: It ensures data is accurate, consistent, and reliable by enforcing rules and constraints and optimises data storage and retrieval operations through indexing and appropriate data organisation. Additionally, a schema provides a clear and consistent structure for data, making it easier for developers, analysts, and users to understand and work with the data. Finally, it supports scaling; facilitating the ability to expand and modify the database structure as the organisation's data needs grow. To sum up, a schema is a vital component of data management that defines the structure, organisation, and constraints of data within a database, ensuring its integrity, efficiency, and usability. Note, the schema and database are not one and the same! #data #datadefinitions #businessstructure #DAMAUK