Data Analytics Conference
“You’re using your data to drive business innovation, so there’s no room for error. Data quality begins with solid data governance. It has to be well-organised, relevant, accurate, and understandable” (PWC, 2019)
Presently, 70% of companies throughout the UK are failing to realise the full potential of adopting and embracing data analytics within their current infrastructures – at a time when it has never been more precedent to avoid transactional errors, enhance customer service and experience and improve business accuracy. The Data Analytics Conference has been designed to provide ultrapractical strategies and real-life examples to support and manage the operation of big data analytics. By offering a clear understanding of how UK businesses can best prepare and utilise both data analytics and data science for improving their clientele landscape.
The agenda itself has been designed for maximum engagement, offering the opportunity to learn from leading experts and share your own experiences around key topics such as: data management, bridging the gap amongst data analytic platforms, addressing the industry’s skills shortage, artificial intelligence, data privacy and security and the urgency of synchronising data sources. There will be plenty of scope for interaction and reflection, the future of data and analytics for businesses will also be debated.
Join us for The Data Analytics Conference: Better Data for Better Decision Making where expert speakers will explain how business intelligence can benefit your organisation from identifying errors from existing and new organisational data, improve customer service experience and create long-term savings. This conference will offer insight into making excellent business acumen for new approaches and play a central role in the future of data analytics.
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- Planning and utilising best practice example frameworks for data and analytic projects.
- Exploring how the latest technology and software can be used to improve information management, data collection, data governance and data security.
- Making the most of being compliant with legal and ethical standards and understanding the risks and consequences associated with this.
- Assess the risks of managing different genres of data and how these risks can be mitigated through utilising the cloud.
- Learn how to adopt an analytical platform to ensure your business is utilising appropriate data sources.
- Incorporating collaboration across employees’ skills set and the implementation of artificial intelligence and machine learning.
- Understanding to what extent cloud security management can help reduce business costs in the long-run.
- Embrace being a digital business in order to remain relevant and competitive in an ever-changing industry.
- Enhance your workplace environment through recruiting specialised professionals in order to create workplace efficiency and save costs in the long run.
- Incorporating ethical social values across workplace infrastructures and in all plans and projects.
- Realise the benefits of migrating towards one analytic platform.
- Apply data science technologies and methodologies to consumer research to deliver deeper, faster insight within your infrastructure.
- Offering lively discussions on topics such as: data management, bridging the gap amongst big data analytic platforms, addressing the industry’s skills shortage, artificial intelligence, data privacy and security and the requirement of synchronising data sources.
- Looking at the best way to plan, manage and deliver data analytic projects whilst upholding data quality, consistency and reliability of information.
- Learning from sector-leading real-life, best practice case studies.
- Network with delegates and leading professionals and discuss action-orientated solutions which you can implement for your organisation.
- Represent your company’s data in a visual manner to ensure effective clientele communication.
- Take action now? If not, when?
Who should attend?
Application Development Manager
Artificial Intelligence Architects
Artificial Intelligence Engineers
Business Engagement Officer
Business Intelligence Managers
Chief Analyst Officers
Chief Artificial Intelligence Officers
Chief Data Analytics Officers
Chief Data Officers
Chief Data Privacy Officers
Chief Digital Officer
Chief Information Officers
Chief Research Officers
Community Engagement Manager
Cyber Security Analyst
Data Analysis Faculty
Data Operations Manager
Directors of Artificial Intelligence
Directors of Machine Learning
Director of Product Engineering
Full Stack Developers
Head of Analytics
Head of Business Intelligence
Head of Business Intelligence and Optimisation
Heads of Data
Head of Innovation and Information Management
Information Governance Manager
Lead Data Scientist
Senior Lecturer in Computing
Senior Software Developer
Senior Software Engineer
Web Presence Manager