Tourism Northern Ireland Use of data/Research 25 June 2015 Anne-Marie Montgomery.

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Presentation transcript:

Tourism Northern Ireland Use of data/Research 25 June 2015 Anne-Marie Montgomery

Use of Data/Research Strategic planning Product development Market planning Informing/shaping policy Produce summary reports Conduct additional research

Strategic Development E.g. data used to: Highlight the value of tourism to the economy Set targets Monitor performance against targets Monitor trends The 2014 PfG targets of 1.934m for domestic trips and £175m for spend were significantly exceeded (by over 400,000 trips and £63m)

Product Development Data used at both ends of product life cycle, e.g. Applications for funding to develop/build product Business case/ economic appraisal Once developed - monitor performance/visitor numbers

Developing the Food Experience Currently use data to ‘set the scene’ in industry toolkits – combined with information from TNI research (Visitor Attitude Survey, Consumer Barometer) 2016 – NI ‘Year of Food’ Food data will feed into various documents/ publications In 2014 NI residents spent £282m on domestic tourism day trips, of which 42% was spent on food and drink. Source: NISRA

Data used to: Understand key markets Identify best prospects E.g. accommodation and performance stats help to inform response to planning queries Market PlanningPolicy in conjunction with segmentation data

Tourism Performance Reports

Accommodation Reports

LGD Report/Fact Cards trips/nights/spend data where visitors came from accommodation statistics (stock and occupancy) tourism job numbers visits to visitor attractions in each of the 11 LGDs Replicated for 9 key tourism destinations

Examples of TNI Research Accommodation providers/attractions/golf clubs/ activity providers Volume of bed nights Volume of overall business Market/regional breakout Outlook/expectations Ad hoc questions Industry Tourism Barometer  Tourism Northern Ireland conducts a variety of research & event evaluation

VAS Reports/Fact Cards Visitor behaviours and attitudes towards their destination experience. Reasons for visit, profile data, type of accommodation used in the destination, activities participated in/attractions visited, how visitors rated different aspects of their destination experience, as well as overall satisfaction levels.

The end!