Agenda Day 1
8:00 - 8:30 Registration and Coffee
8:40 - 9:00 Icebreaker: What are Your Event Objectives?
In order to boost networking and interactivity, the conference will begin with an opportunity for everybody to get to know one another. Attendees will then have 20 minutes to discuss their key objectives for attending the event which will be documented and used as a tool to influence discussions throughout the entire conference.
9:00 - 9:40 Turning Data into Actionable Insights: Profitability, Innovation and Business Optimisation
· Creating and driving a cultural shift towards business driven actionable insights: Realising the true value of big data for retailers
· GiffGaff data strategy: Identifying and harnessing the key tools required to develop a best-in-class business intelligence
· Leveraging predictive and advanced analytics for business and organizational optimisation
· Innovation and monetization: Unlocking new revenue streams and driving profitability
9:40 - 10:20 Loyalty and Retention through Customer Analytics: Building Long Term Growth in Customer Engagement
· How can Big Data help retailers develop brand loyalty and increase spending activity?
· Identify how to approach customers through advanced analytics and use previous behaviour to deploy targeted services or offers that suit a personal profile
· Moving from customer, to repeat customer to brand advocate: Fostering an increase in spending
· Leveraging insights from new customers to enhance the journey for existing customers
· KPI’s and metrics to analyse and measure the ROI of loyalty programmes
· Evaluating the findings to develop future strategies
8:00 - 8:00 Mining for Gold Overview and Instructions:
By now, you have discussed your event objectives and will appreciate there will be a common theme running throughout both days. However, you will have a unique challenge or problem that needs solving, and it is critical that we seek out those gold nuggets of information that will really help drive improvement within your role, teams and organisation.
These sessions are designed by you, for you, and it will be encouraged to write specific challenges, or indeed solutions on the colour coded post-it notes on your tables and stick them on our Mining for Gold wall at the back of the conference hall.
Steve Taberner, our facilitator for the day 1 session will work closely with the chairperson to place these into various categories and we will use these as a basis to drive discussion at various checkpoints throughout the two day event.
10:20 - 10:50 Morning Coffee and Networking Break
10:50 - 11:30 Staying Ahead of the Curve in a Fast Moving Market: Repositioning the Business through Insights & Analytics
· Overview of the data strategy and journey so far
· Understanding the unique nature of the market and the threats driving the need for change
· Recognizing the opportunity for growth and development by leveraging data, insights and analytics
· Improving customer experience, loyalty and personalisation through insights, monitoring and real time analytics
· The importance of business agility and strategic decision making to remain competitive
11:30 - 12:10 Call Analytics: Meaningful and Actionable Insights by Leveraging Call Data
· Overview of the call analytics journey so far: Drivers, challenges and opportunities
· Customer insights: Leveraging call analytics to gain a full understanding of the customer , their entire journey and areas of improvement
· Business insights: Collaborating and communicating effectively with internal stakeholders to ensure business improvements are realised
12:10 - 13:10 Lunch and Networking
13:10 - 13:50 Mining for Gold Interactive Discussion: Checkpoint One
This session is your first instalment of mining for gold. Within these sessions, attendees can learn from one another through sharing their own experiences. These 40-minute sessions will consist of four questions, broken down into five minute discussions.
Each group will be required to document these ideas on a flipchart with a nominated presenter providing a two minute overview of the solution.
*all information documented will be collated, typed up and provided to every delegate post event*
13:50 - 14:30 Supply Chain Analytics, Merchandising and Inventory Management
· Identify new business opportunities and enhance supplier relationships through understanding the entire supply chain
· Provide supplier networks with greater data accuracy, clarity and insights
· Create comprehensive supplier profiles and leverage external data sources
· Understand more about how your customers interact through different channels to target products with a personalized approach
· Optimize inventory management and distribute products based on real-time demand
14:30 - 15:00 Afternoon Tea and Networking Break
15:00 - 15:50 Industry Wide Comparisons : Similarities, Differences and Learning Outcomes
This session will begin with a 30 minute presentation that pulls from Alexander’s experience in various sectors. He will then share what he is has learned and how these findings could be applied to the retail sector. The session will close with a 20 minute, controlled discussion where the entire audience will share their experience:
· Quick overview of the different sector experience including current role, responsibilities and development to date within Cancer Research
· Understanding the unique data and customer challenges faced within the charity sector: Customer perceptions, brand, social responsibility
· Analytics Challenges: Building the business case, gaining executive buy-in and securing investment when data isn’t an integral part of the business
· Top tips and learning outcomes: How can these challenges translate into valuable insights for the retail sector?
· Facilitated discussion: How can we apply insights and analytics methodologies from alternative sectors?
15:50 - 16:30 Data-driven Business Process Optimisation and Decision Making
· Aligning data strategy with business strategy: Leveraging big data and analytics to support the business plan
· Developing predictive analytics tools to improve the speed of decision making
· Data driven innovation to ensure competitiveness through business agility
· Understanding data on a strategic level to drive business growth and new profit centres