Becoming a change agent: How does the introduction of an internal data champion enhance collaboration between departments and enable the distribution of analytics across the business?

Overcoming resistance: How to demonstrate the business impact of data-driven decision making to the board and make the case for further investment in analytics

Strengthening relationships with key business stakeholders: How can you get your business counterparts to embed data in their day to day to transform the success of their departments?

How to determine who is best placed to help you own the data strategy and drive organisational change to keep at pace with evolving processes and technology

How can CDO's work with analytics leaders to seamlessly integrate data into internal processes and enable an agile progression of data capabilities to fuel the business?

What are the key step changes that have to be made to transform your business into an analytics-driven organisation?

Creating a cohesive data-driven organisation: How can you work together to overcome competing internal functions and departmental silos to get the business better at analytics?

Understanding each other’s world: How can you better understand how to engage with various company functions and build stronger relationships between them and your data teams?

Aligning company goals: How can you get your business sponsors and technical leads working in unity to increase your data maturity and boost the bottom line with in-house capabilities?

How can you get the wider business to think long-term about data investments and work in an agile manner to keep up with the speed that data is moving at?

Becoming trusted business advisors: How to educate your data science team to serve the business in the best way to gain internal credibility that allows for larger influence

How can you teach your team to speak the business language when interpreting data driven results to provide value across all business departments?

Creating a community for data: How to implement an internal structure that allows your team to collaborate with business functions to get the most out of data driven insights and raise awareness of data's value across the enterprise

How can you continuously evolve your data function's skill sets to move your data team up the maturity curve whilst providing the business with the support it needs to thrive?

How do you best position your brand and job offering to grab the attention of limited talent in the analytics space?

Creating a fully rounded team: How can you hire your team around the 3 key pillars of the data science skillset to fill individual knowledge gaps in business and analytics?

How much of the data science skillset can be taught outside of traditional education and what the best approaches to enhancing your team talent?

Reducing attrition: How can you provide interesting projects in a stimulating environment to keep your team engaged and retain your talent?

Finding fresh talent: How do you establish relationships with education bodies to successfully recruit for a role that isn’t very well defined?

Picking your people: How do you attract the right type of talent and personality traits to further build your team capabilities?

Hiring millennials: How to do refine your leadership skills to work with a new generation of employees who bring a new millennial mind-set to the table?

How can you develop internal programs to get your recent hires working in harmony with the wider business?

Predicting the future landscape: How do the skillsets of the data insights team need to evolve as new analytics technologies enter the market?

How can you build an agile internal structure that will allow your business to accommodate for new data tools and technologies?

The future of the data scientist: How much of the data science role will become automated as analytics continue to increase in sophistication?

How can data leaders tackle the lack of skillsets in newer big data and advanced analytics techniques?

How we can we continue to build the data science community to entice the next generation of data scientists?