Big Data is a true cross-sectional technology that holds the potential for major value contributions within any industry. It is thus no wonder that KIANA's customers come from all kinds of industry backgrounds. 




Pharma can make use of data for developing and testing new drugs in the lab to patient monitoring and diagnosis. Typical use cases include:

  • Research & lab analytics
  • Wearables & mobile monitoring
  • Advanced automation 
  • Salesforce effectiveness
  • Production optimisation
  • Digital health

The finance & insurance sector commonly uses data analytics to make better investment decisions or to perform powerful risk analyses including external data sources. Typical use cases are:

  • Customer analytics (prediction of churn/retention)
  • Next-best offer / recommendations
  • Pricing
  • Algorithmic trading & risk analysis
  • Fraud detection
  • Financial health monitoring
  • Automated valuations of complex structured objects (ships, cars, properties, machines & more)

Mobility & logistics companies are using vast amounts of transportation data to optimise flow of goods within complex networks or interact with their customers' journeys and provide real-time options. Some typical use cases are:

  • Demand forecasting / simulations
  • Network planning / Smart Scheduling
  • Pricing
  • Offer optimization
  • Parsing travel documents
  • Predictive maintenance

Within energy & utilities data analytics are key to creating smarter ways of designing the production and distribution processes. Common use cases are:

  • Customer Analytics
  • Smart grid / home / city
  • Pricing
  • Predictive maintenance
  • Smart billing
  • Smart document management

Data holds the key for retailers and consumer brands to get real actionable consumer behaviour insights that no study could ever provide. Common cases however go far beyond just marketing:

  • Social genome analysis of customers / social media analytics
  • Multichannel analytics
  • Attribution modelling
  • Recommendation Engines
  • Pricing
  • Demand Forecasting
  • Assortment optimization
  • Stock out prevention
  • Personnel planning

Media & advertising companies can adapt and optimise content in real-time to their audiences' preferences and exhibited behaviour. Distinct cases include:

  • Adaptive website
  • Real-time bidding
  • Identify trending topics
  • Social genome analysis

Industry 4.0 uses cyber-physical systems that communicate and cooperate with each other and humans to produce real artworks of  perfected production and maintenance. Some of the more common use cases are:

  • Internet of Things / Smart Devices
  • Self-learning production systems
  • Predictive maintenance

Smart data analysis systems bring together a wide variety of data sources in different formats to facilitate world-class research:

  • Lab analytics
  • Rapid prototyping
  • Adaptive analysis systems

Don't find yourself represented here? Don't worry. Data analytics is a cross-sectional technology that creates high impact in any given industry that collects data along its value chain. Don't hesitate to get in touch. We apply our skills to new fields on a daily basis.