These seminars cover the latest data management topics including: Big Data, Business Intelligence, Analytics, Data Quality, Data Warehousing, Information Strategy, Information Management and Data Modelling.
Jan Henderyckx, 21-23 September 2016. London
Three One Day Workshops on Information Strategy, Information Governance and MDM
Do you recognise that information is a business asset but do you struggle to set up the proper roles, processes and architectural principles to manage the information asset? This workshop will teach you how you can turn your organisation around and make it information centric delivering on the promise of accurate and trusted business information that supports compliance and boosts innovation. This workshop is made up of three 1-day workshops:
Day 1: Establishing a Sustainable (BIG) Information Strategy
Day 2: Information Governance: From Definition to Execution
Day 3: Master and Reference Data Management
Delegates can register for 1, 2 or 3 days.
Mike Ferguson, 6-7 October 2016, London
Today, with most people connected to the Internet, the power of the customer is almost limitless. The Internet has given them freedom to choose in a way that business could never have imagined. They can browse your competitors’ web sites with ease. They can compare prices, they can view sentiment about your business, and they can switch loyalty in a single click any time anywhere all from a mobile device. In addition, the emergence of social media sites means that customers also have a voice.They can express opinion and sentiment about products and brands on Twitter Facebook, and review web sites and create social networks by attracting followers, and following others.This new 2-day seminar looks at the need to capture new data sources and perform exploratory analytics for competitive advantage. It looks at new data sources and at data discovery and visualisation tools to show how these technologies can be used to provide new insight that helps foster growth, reduce costs and improve effectiveness.
Mike Ferguson, 10-11 October 2016, London
This 2-day course looks at the business problems caused by poorly managed information. It looks at reference data, master data, transaction data, metrics, big data and unstructured content (e.g. documents, email, etc). It looks at the requirements to be able to define, govern, manage and share trusted high quality information in a hybrid computing environment.It also explores a new approach getting control of your data that includes participation from IT data architects, business users and IT developers. This includes creating and organising data in reservoirs and introduces data refineries in an enterprise approach to managing data. It emphasises the need for a common collaborative process and common data services to govern and manage data.
Alec Sharp, 24-25 October 2016, London
This workshop introduces entity-relationship modelling from a non-technical perspective, thoroughly covering the basic components of a data model - entities, relationships, attributes, and identifiers.In addition to showing how and when to use these components in developing a data model, it includes far more advice on the process of developing a data model than other courses, including specific methods for getting subject matter experts involved and maintaining their commitment. The content is presented within the context of a clearly-defined, three-phase data modelling methodology that supports progressive detail and precision.
Alec Sharp, 26-28 October 2016, London
This intense, participative workshop provides approaches for many advanced data modelling situations, as well as techniques for improving communication between data modellers, business analysts, designer/developers, and subject matter experts.You will learn a concrete set of frameworks, methods, techniques, scripts, heuristics, and other tools that you can draw on to keep the process moving, with everyone engaged, even when complex, difficult situations are encountered.You will learn specific, repeatable techniques that you can use to drive your data modelling skills to the next level.
Rick van der Lans, 29-30 November 2016, London
- Learn about the trends and the technological developments related to business intelligence, analytics, data warehousing, and big data.
- Discover the new analytical forms.
- Discover the value of big data and analytics for organizations
- Learn which products and technologies are winners and which ones losers.
- Learn how new and existing technologies, such as NoSQL and NewSQL, will help you create new opportunities in your organization.
- Understand the opportunities to develop new value propositions for your customers.
- Learn how more agile data business intelligence systems can be designed.
- Learn how to embed big data and analytics in existing business intelligence architectures.
- Be able to distinguish between all the different data integration and data storage technologies available today.
Rick van der Lans, 1-2 December 2016, London
Classic data warehouse architectures are made up of a chain of databases. This chain consists of numerous databases, such as the staging area, the central data warehouse and several datamarts, and countless ETL programs needed to pump data through the chain. This architecture has served many organizations well. But is it still adequate for all the new user requirements and can new technology be used optimally for data analysis and storage?
The technology to create a logical data warehouse is available, and many organizations have already successfully completed the migration; a migration that is based on a step-by-step process and not on full rip-and-replace approach.
In this practical course, the architecture is explained and products will be discussed. It discusses how organizations can migrate their existing architecture to this new one. Tips and design guidelines are given to help make this migration as efficient as possible.
Chris Bradley, 5-7 December 2016, London
This workshop addresses all of the Information Management disciplines as defined in the DAMA body of knowledge (DMBoK).
This workshop is intended to provide you with the knowledge, methods and techniques required to analyse, mature and implement information management solutions within your organisation. Areas covered include:
- Data Lifecycle Management
- Data Integration
- Data Governance
- Risk, Security & Regulatory compliance
- Data Quality Management
- Business Intelligence & Data Warehousing
- The essential role of Data modelling
- Master and Reference Data Management
- Metadata management
Danette McGilvray, 8-9 December 2016, London
- Turn data quality challenges into actionable projects with clear objectives.
- Connect data quality issues to business priorities.
- Understand concepts that are fundamental to data quality management, such as the Framework for Information Quality, information life cycle, data quality dimensions, business impact techniques, root cause analysis techniques, etc.
- Choose the appropriate steps/activities from the Ten Steps process to address business needs.
- Apply many of the steps and techniques to a course project during the seminar.
- Obtain templates and examples to use in the attendees’ own situations.
IRM UK are specialists in strategic IT training for IT & business professionals and managers. Our carefully selected presenters have superior technical knowledge, teaching skills and a wide range of practical business experience. They are some of the most influential technologists, methodologists and original thinkers in IT today. Noted for the participation of top level decision makers from both the corporate, user and vendor communities, and the lucid analysis of critical strategic and management issues, our events are condensed and rigorous combining technical explanations with management advice and discussions of future directions. IRM UK produce Conferences and Seminars which take place in London, UK.