Applying predictive analytics in the public sector
April 18 @ 9:30 am - 2:00 pm£125
There’s a lot of talk about predictive analytics and big data at the moment but in amongst the hype how can you learn what it really means for the public sector? Join this half day briefing session with other public sector professionals to gain a solid grounding and education on the terminology of advanced analytics, what’s possible and what to consider as you think about how predictive analytics could be benefiting your organisation.
Business intelligence helps organisations learn about the past but predictive analytics delivers something beyond this – actionable, forward-looking predictions as to how each citizen will behave. These predictions encompass all channels, both online and off, foreseeing which citizens are most likely to click, respond, convert or cancel.
Using these predictions or models allows public sector organisations to deliver more relevant content to each citizen, improve campaign response rates, raise click rates, understand citizen behaviour, improve channel shift and transformation and, ultimately, save time and money. Deployed back to customer-facing in real-time these results can make a difference in every single customer interaction.
During the event we will cover:
An introduction to predictive analytics
- What is it?
- Who does it?
- How is it most often applied in the public sector?
How to execute a predictive analytics project
- Where to start
- What you will need
- The best methodology to use
Details of the main techniques
- Classification – grouping similar people or events
- Continuous value prediction – predicting a type or an outcome
- Forecasting – predicting what will happen next
A ‘cheat sheet’ review of common predictive terminology
- Time-series forecasting
- Decision trees
- Cluster analysis
- Neural networks
- Case studies of public sector projects
- Results and outcomes
At the end of the event there will be an opportunity for networking and discussion over lunch.
Who should attend?
No background in statistics or modelling is required – in fact this course is designed for those who have heard about predictive or advanced analytics and who want to learn more about the capabilities, possibilities and opportunities but are not themselves statisticians or analysts.
Executives and senior managers: project leaders, directors and decision makers of any kind.
Technology Experts: business intelligence managers, DBAs, data warehousing and web teams who wish to extend their expertise to predictive analytics.