Practical considerations for developing data products, to generate subscription revenue
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Adding high-value data products can increase earnings from digital, subscriptions and international markets and many publishers are looking at how they can leverage data to provide their customers with in-depth insights, industry intelligence and enhanced data-driven storytelling. Drawing upon many years of experience partnering with publishers to support their transformation into high-value intelligence businesses, Con Conlon, Founder and Managing Director of Merit Group, will share some practical considerations when it comes to delivering a quality product.
The challenges and focus areas that will be considered in this discussion include:
• Why not all data products work: key must dos in the proposition, design, and development stage of a product
• Avoiding a feature-led approach to new products – what benefit is the product providing your customers?
• Practical considerations when collecting large volumes of data – the importance of automation, scalable technologies and architectures that can grow as your data grows
• Best practices that ensure efficiency, accuracy, and manageability when transforming large sets of raw data