--- title: Media & Entertainment Case Studies | Datamine description: Data analytics for media and entertainment improves customer engagement, marketing ROI, business strategy. Case studies for data science success. image: https://www.datamine.com/hubfs/Retailwatch%20and%20Case%20Study%20black%20and%20white%20images/Media%2023.jpg --- [![Datamine](https://www.datamine.com/hs-fs/hubfs/Imported_Blog_Media/Logo-for-website-white-01.png?width=417&name=Logo-for-website-white-01.png "Datamine")](https://www.datamine.com/) - [Working together](https://www.datamine.com/how-to-drive-commercial-growth-with-data-analytics-and-ai-datamine) - [How we work together](https://www.datamine.com/how-to-drive-commercial-growth-with-data-analytics-and-ai-datamine) - [Our Workshops](https://www.datamine.com/envisaging-and-development-workshops) - [Our Pricing](https://www.datamine.com/how-much-does-data-analytics-and-ai-cost) - [Solutions](https://www.datamine.com/oursolutions) - [Case Studies](https://www.datamine.com/industryexpertise/case-studies) - [Retail](https://www.datamine.com/industryexpertise/case-studies/retail) - [FMCG](https://www.datamine.com/industryexpertise/case-studies/fmcg) - [Travel](https://www.datamine.com/industryexpertise/case-studies/travel-tourism) - [Not for Profit](https://www.datamine.com/industryexpertise/case-studies/not-for-profit) - [Media & Entertainment](https://www.datamine.com/industryexpertise/case-studies/media-and-entertainment) - [Telco](https://www.datamine.com/industryexpertise/case-studies/telco-and-technology) - [Utilities](https://www.datamine.com/industryexpertise/case-studies/energy-and-utilities) - [Health & Wellness](https://www.datamine.com/industryexpertise/case-studies/health-and-wellness) - [Government](https://www.datamine.com/industryexpertise/case-studies/government) - [Finance](https://www.datamine.com/industryexpertise/case-studies/banking-and-finance) - [Insurance](https://www.datamine.com/industryexpertise/case-studies/insurance) - [Real Estate](https://www.datamine.com/industryexpertise/case-studies/real-estate) - [Industries](https://www.datamine.com/industry) - [Retail](https://www.datamine.com/industry/retail) - [FMCG](https://www.datamine.com/industry/fmcg) - [Travel](https://www.datamine.com/industry/travel-and-tourism) - [Health & Wellness](https://www.datamine.com/industry/health-and-wellness) - [Not for Profit](https://www.datamine.com/industry/not-for-profit) - [Media & Entertainment](https://www.datamine.com/industry/media-and-entertainment) - [Telco](https://www.datamine.com/industry/telco) - [Utilities](https://www.datamine.com/industry/utilities) - [Government](https://www.datamine.com/industry/government-and-public-sector) - [Finance](https://www.datamine.com/industry/banking-and-finance) - [Insurance](https://www.datamine.com/industry/insurance) - [Discover](https://www.datamine.com/resources) - [Products](https://www.datamine.com/what-we-do/our-products) - [WeekAhead](https://www.datamine.com/weekahead) - [Retailwatch](https://www.datamine.com/ourservices/retailwatch) - [Site Spotter](https://www.datamine.com/ourservices/sitespotter) - [NZ Fuel Prices](https://www.datamine.com/data/fuel-price-nz) - Insights - [Executive Insights](https://www.datamine.com/executive-insights) - [The Boardroom Table](https://www.datamine.com/theboardroomtable) - [Retailwatch Dashboard](https://www.datamine.com/reports/retailwatch-dashboard) - [Telcowatch Report](https://www.datamine.com/telcowatch) - [Downloadable Guides](https://www.datamine.com/resources/datamine-guides) - [Datafix Blog](https://www.datamine.com/datafix) - [The Boardroom Table](https://www.datamine.com/theboardroomtable) - [About us](https://www.datamine.com/about-us) - [How we work together](https://www.datamine.com/how-to-drive-commercial-growth-with-data-analytics-and-ai-datamine) - [The Datamine Story](https://www.datamine.com/the-datamine-story) - [Our People](https://www.datamine.com/being-a-dataminer/our-people) - [Our Values](https://www.datamine.com/en-au/about-us/our-values) - [Our Partners](https://www.datamine.com/company-we-keep-tech-partners) - [Join Us](https://www.datamine.com/being-a-dataminer/join-us) - [Contact us](https://www.datamine.com/contact-us) # media and entertainment ## Media and ENTERTAINMENT ![Entertainment-1](https://www.datamine.com/hs-fs/hubfs/Iconography/Black/Entertainment-1.png?width=45&name=Entertainment-1.png)   Datamine provides analytics solutions for floor optimisation, application development, customer segmentation, problem gamer recognition, loyalty scheme development, fraud detection and more for a number of Australasia's large media and entertainment companies.   Scroll down to find out how Datamine has helped these organisations respond to typical challenges that face the media and entertainment industry.     # Media company unlocks the full potential of advanced analytics with data strategy ### **THE CHALLENGE** Like many growing organisations, this media company has made sizeable investments in its IT infrastructure and people over the years. And while that’s had some impact on its reporting capabilities, leveraging data for decision-making still felt cumbersome and fragmented. The organisation recognised there were still plenty of opportunities to improve the way it used data, advanced analytics and AI to drive commercial success. However, with IT teams bogged down by BAU workloads and a backlog of enterprise systems projects, it approached Datamine to help [develop a data strategy](https://www.datamine.com/ourservices/data-strategy). The goals? Discovering opportunities to use advanced analytics in a repeatable and scalable way, building internal capability and confidence, and leveraging AI to align with the company’s goals.   ### **THE SOLUTION** In response to these challenges, Datamine engaged with the organisation’s senior leadership to agree on target outcomes. This collaboration focused on marrying commercial goals with internal capabilities and the company’s overarching business strategy. Through this process, we helped the organisation establish key goals and assess the potential for advanced analytics and AI integration. We identified three ‘catalyst projects’ that would deliver immediate commercial value. These projects were scoped through [Solution Design workshops](https://www.datamine.com/envisaging-and-development-workshops), where we clarified each project’s value and priority level. We also dug into the root causes of previous barriers and frustrations to ensure that the data strategy – and resulting activities – aligned with real-world operational needs. We worked hand-in-hand with internal teams, building the robust platforms, processes and governance structures required to do two things – deliver a result and establish internal capabilities and processes so the business can ‘rinse and repeat’ future projects. The teams focused on six essential workstreams that, together, provide the foundation for the advanced analytics journey – building the pipeline of opportunities and potential projects, prioritising them, and developing a framework that delivers consistently good work and acceleration. Additionally, we partnered with AugmentX, a data and analytics recruitment agency, to recruit specialised talent who bridged the gaps in the organisation’s internal teams. This ensured that it had the right expertise to drive analytics initiatives.   ### The results This client successfully delivered its first catalyst project, which built momentum and restored confidence in the organisation’s ability to deploy advanced analytics effectively. This early success demonstrated to stakeholders that data-driven decision-making was achievable – and could lead to substantial commercial benefits. The business achieved a better balance between its operational capabilities (how it identifies, sizes, and implements opportunities) and the technical aspects (the design and delivery of solutions). This restructuring alleviated previous frustrations, establishing a framework that minimised dependency on specific individuals and fostered a more collaborative culture. The organisation is now positioned to unlock the full potential of advanced analytics, supported by a clear governance framework. With a comprehensive understanding of the role of advanced analytics within its operations, the company can tap into value beyond mere individual productivity gains – and focus on solving big problems that have an impact from an enterprise level down. As a direct result of these initiatives, the company is now looking to expand its advanced analytics capabilities even further. With a proven framework, it’s poised to explore more ambitious AI projects, confidently leveraging data to drive strategic decisions and enhance overall business performance. # LOTTO NZ GAINS INSIGHT INTO ONLINE GAMING BEHAVIOUR **THE CHALLENGE** In line with their goal to be a world-leading lottery organisation dedicated to delivering the maximum benefit to New Zealand communities, Lotto regularly monitors customer penetration within the market and is interested in extending that knowledge by assessing the online gaming habits of Kiwis.  Lotto noticed an increase in the number of gaming sites reaching out to New Zealanders with the promise of a win enticed by lucrative new player bonuses, such as ‘Get $1,000 free’.  With little robust information available about the performance of the online offshore vendors, Lotto contacted Datamine about performing an analysis to understand how New Zealanders are interacting with online gaming sites to inform future strategy. **THE SOLUTION** As part of Datamine’s analysis for Lotto, we created a report covering the following information from the past three years: - The total value of online gaming - The number of online transactions and customers - The differences between on-shore and off-shore gaming   Using our Business Insight data, we identified the relevant merchants and transactions in order to provide Lotto with a rounded view of the above factors.  During the analysis, we discovered useful insights about online gaming in New Zealand – including that participation is increasing (up 58% since 2015), as is annual spend (up over 100% since 2015). **THE RESULT** The findings from the analysis have proved very useful for Lotto and show a growth trajectory for the online offshore gaming market in New Zealand.  The information has provided Lotto NZ with a robust, empirical based understanding of the wider market trends and has also been used in discussions with both the Board and industry regulators. # EVENT CINEMAS LEARN MORE ABOUT THEIR CUSTOMER DEMOGRAPHICS **THE CHALLENGE** Event Cinemas wanted to understand more about their customers in a specific Auckland suburb.  The overall aim was to increase viewing at that suburb’s theatre, as the site was experiencing low occupancy, particularly in the evenings. A clearer picture of those in their catchment area was necessary to enable Event Cinemas to create informed marketing strategies and initiatives that would appeal to their target market.   **THE SOLUTION** Datamine used data from Event Cinema's loyalty programme, and the national census to create a demographic profile of the specified catchment area, as compared to the rest of the Auckland region.  Datamine was able to evaluate the catchment area population size and provide a breakdown by household composition, age, income and ethnicity. As a whole, the catchment area was not very different from the rest of Auckland, however, there was a large variance in socioeconomic status and a markedly larger proportion of certain ethnic groups than others. **THE RESULT** These results are enabling Event Cinemas to run marketing activities tailored to the demographics of their catchment area.  Price variances are being considered in order to cater to both ends of the socioeconomic scale, and one cinema is possibly going to be dedicated solely to subtitled language films catering to the prime ethnic group of the catchment area. As a result of the project, Event Cinemas achieved a much clearer picture of that suburb’s cinematic preferences and has been able to alter their marketing accordingly. # QMS doubles turnover with bespoke outdoor media application **THE CHALLENGE** QMS is an organisation that manages outdoor media displays throughout New Zealand and Australia.  In order to sell advertisement slots on billboards, digital billboards and buses, they need to provide the client with a sense for what kind of person might be seeing the ads, at what time, in what location etc.  They realised that they needed a data-driven way to do this, so they got in touch with Datamine about creating an analytical solution that would deliver the measurement and insights needed. **THE SOLUTION** Our team of product managers, data scientists and UX developers worked with QMS to produce an application called The Datalab.  It uses external data, such as aggregated Census, banking and mobile location information, to show QMS clients what the potential reach of their media campaign would be. The application effectively manages access rights and a number of different permission levels, dictating not only what can be seen, but also the scenarios and calculations that can be run. **THE RESULT** The platform is an ongoing partnership, and The Datalab is at the heart of every campaign recommendation QMS delivers to its customers. They’ve been thrilled with the results of the platform, as have their clients – in the words of one customer, “QMS’ reach and frequency measurement tools enable us to effectively optimise our out-of-home advertising campaigns by assessing various scenarios to ensure we deliver to our clients objectives.”  Since QMS began working with Datamine, turnover has doubled. # EXPLORATORY ANALYTICS CRACK THE MYSTERY BEHIND DECREASING REVENUES **THE CHALLENGE ** A large international entertainment business faced a significant year-on-year revenue decline from their loyalty base and limited understanding of why it was happening.  With budgets forecasting increases, there was a need to do something quickly.  Despite the business having significant internal analytics capacity, it was unable to come up with an effective answer, so contracted Datamine to examine the problem in an exploratory piece of work. **THE SOLUTION** Datamine pulled thousands of variables and performed a comprehensive data mining exercise, pinpointing that the problems were due to several seemingly benign strategic changes in product mix, promotions, staffing levels, and pricing.  These results were then visualised and presented back to the client. **THE RESULT ** Having specifically identified the issues and highlighted them to the client, Datamine worked with the business to plan and execute a revised strategy which reversed the decline - the $60k project delivered a net gain of several million dollars of revenue over the following six months. # MAJOR ENTERTAINMENT COMPANY PERSONALISES MARKETING EFFORTS **THE CHALLENGE** A major entertainment client wanted to take a more individualised approach to their customer contact programme rather than communicating with customers in a traditional ‘blanket’ approach.  The aim was to tailor communications to each individual customer’s requirements.  As well as avoiding over-mailing customers, or contacting them with inappropriate, irrelevant or untimely messages, this would enable a more efficient use of marketing budget.  **THE SOLUTION** Datamine worked with the client to identify customer ‘lifecycle’ touchpoints according to individual requirements at appropriate stages of the relationship.  Analytics and predictive modelling were planned into the process to: - provide meaningful insights into customer behaviours - assist the ‘who/what/when’ of their communications planning - identify individual customers at whom to target a specific message **THE RESULT** The organisation implemented the suggested changes, with the models being run in conjunction with each other, alongside their active loyalty programme.  This added an increased level of sophistication to the company’s marketing programme. 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