2020 Business Intelligence Summit
Embracing BI as an integral part of business success
4 - 5 Aug 2020Heritage, Auckland
- Data literacy - analysis and analysts moving beyond creating reports to providing decisions
- Data security - reviewing, understanding and implementing concepts from Office of the Privacy Commissioner, Privacy by Design and other sources of leading thought to design privacy, confidentiality and security
- Data availability - Emerging themes of data virtualisation and data fabrics as the hype cycle for cloud adoption
- Defining traditional BI and modern BI
- Why traditional BI needs to evolve - problems businesses face
- How can modern BI solve these problems?
- Advanced analytics to get a better understanding of customers so they can be targeted with relevant offers
- Making smart and business crucial decisions by linking customer experience to technology investments
Understanding the measures required to create active and effective environments to support change and to make your business future proof
Creating the workforce capacity and capability to deliver a common skill-level by exploring a variety of training opportunities
Looking into required fundamental leadership skills to enable change and success in a fast-moving and agile environment
- "Better Never Stops!" - Managing for transition, transformation and change at Aspire2
- Will a BI platform solve all our problems? Why the traditional approach wasn't going to work for Aspire2 - and probably won't for you either
- The challenges of building Trust, Quality and Empowerment
- Patterns, tools and platforms to solve for problems common to our business, and all others like it
- Doing it all on a dime! – achieving change with minimal and existing resources
- How is our strategy paying off for us?
- What underlying factors needed to be considered to transform a business strategy?
- What subsequent resources and measures are required for successful implementation?
- Explore how a data-driven strategy can support process optimisation and automation
- Exploring the need of data security - what data needs to be secured and why?
- How to mitigate the security challenge of moving big data offline vs. online – what are the regulatory requirements and what is most suitable for your business?
- Is your business ideally equipped for potential cyber threats?
- Ensuring that the existing data is fit for purpose
- Reviewing techniques and processes for data quality management
- To what extent can predictions, reports and decisions be made based on trusted data?
- Winning hearts and minds through sustained business change management
- How can data scientists help achieve business success in a agile environment?
- How to build end-to-end data solution?
- Looking into best practice of internal customer engagement
- Interrelationship of emerging technologies e.g. advanced AI & IoT devices and BI – exploring influence of technology on architecture, while complying to increased regulation
- Digital fairness – imbalance of access due to imbalance of resources?
- Forecasting the fast-paced tech and digital environment to firstly develop a social consensus and most importantly increase societal acceptance
- Funding, prioritisation and escalation
- How users engage with BI and processes to ensure continuous delivery
- Reliable secure data for reporting and analytics
- Creating a vision for your BI team
- Personal growth and development of your people
- Building a high performing, driven team that works together
- Diving into Data Science
- What are the latest technologies, trends and developments in data virtualisation?
- Defining metrics that are relevant to build a dashboard
- Enabling an increase in interactive communication through dashboards
- Learn how to design and tailor your dashboard for significant target groups
As malware, ransomware, and other cyber threats increase significantly, organisations are needing to have a stringent plan in place to support the security of data. This session will examine case studies of when data security has failed, the outcomes and the lessons we can learn.
- Looking outside of the analytics teams – bringing literacy across the organisation to maximise data outcomes
- Why dashboards are just the beginning – encouraging and supporting staff to use data outputs to improve their roles, productivities and outputs
- Retaining, hiring and training staff to fulfil skills gaps and requirements around data and analytics
- Highlighting the benefits of successful data merging including increased self-service BI, supporting metadata management, data lineage and data governance
- Understanding platform architecture for data integration – system design, main- and subcomponents, standardisation and its implications
- Integration failure – tips to discover wrongly and untrustworthy data early and explore opportunities to reduce failure
- Using modern approaches to enhance data to give users a more comprehensive perspective
- Creating and maintaining a centralised API for small bespoke solutions with limited or non-existent integration support
- Exploring Agile, Business Intelligence/Insights, DevOps
- Outlining best practices, challenges and opportunities
- Linking all three together to provide Enterprise BI capability
- Understand how to enhance systematic knowledge management and digital collaboration to create the fundamentals for deploying AI
- Training to enable digital workplace
- Customisation of digital workplace and collaboration solutions
- AI build upon strategically defined knowledge structures
- Best practices of computer vision, automation, cognitive computing and machine learning techniques e.g. deep learning, real-time style transfer
- No other technology trend has caused a wave quite like the rise of Artificial Intelligence, Machine Learning and Augmented Intelligence. This panel will examine the rise of these technologies and the role they can play in augmenting your IT strategy.
- Case studies from implementation – small- and large-scale implementation and areas for rapid improvement within existing IT strategies
- Beyond chat bots – how you can augment your customer facing processes through smart AI deployment
- Why data is still king – fine tuning your data practices to enable practical AI applications across your business functions