How i-spark helped Minno migrate dashboards and unify diverse data sources for better strategic decision-making.
Minno is a US-based streaming platform offering subscription-based access to curated video content. Their service spans mobile apps, smart TV apps, and a proprietary online platform, reaching viewers across multiple channels.
Minno wanted a stronger grip on the performance of its business, especially around subscriptions, content usage, and marketing efforts. Their existing reporting setup couldn’t deliver the level of flexibility or performance they needed. i-spark was brought in to provide hands-on support across: Data Architecture, Data Engineering, Machine Learning, Dashboarding, and Data Analysis.
Minno had access to large amounts of proprietary data, including:
Clickstream activity (searches, plays, watch time)
Transactional data from subscribers
Marketing data across channels
But the data was scattered across different systems and providers. Their existing setup in Tableau made it difficult to:
Combine and query these diverse sources efficiently
Unlock deep patterns in subscriber behaviour
Support advanced business use cases like churn prediction or cross-channel attribution
Minno needed a centralised solution to organise their data and make it usable across teams.
Minno now has all its data centrally organised and accessible, allowing the team to better understand business performance across subscriptions, content usage, and marketing. The new platform supports faster reporting, deeper analysis, and more confident decision-making.
We unify data across platforms, streamlining everything from dashboards to decision-making.