Technology > Internet > Media > Entertainment > (T.I.M.E)

We leverage real-time data to help businesses make informed decisions through predictive and prescriptive analytics to stay ahead of rapidly changing markets and maximize ROI


  • Lifetime Value ~ Calculate the value of your customers through lifetime value (LTV) analytics
  • Customer Acquisition Metrics ~ Informed customer value analysis via current monetary value of customer acquisition costs
  • RFM Analysis ~ Turn prospects into customers, cross and upsell existing customers through hyper-targeting of the right offer through analysis of offer Recency (R), Frequency (F), and Monetary (M) values
  • Demand prediction to address accurate revenues and profitability
  • New product development and product life-cycle analysis
  • Sentiment Analysis ~ Evaluation of customer reviews of your services or products


Consumers are empowered with information and buy from multiple channels, being less loyal to brands or retailers.  Success in retail sales comes from narrowing the margin of error in purchasing, inventory levels, distribution centers, taking advantage of terms, reaching prospects with relevant offers and continuously engaging your best customers.

  • Customer satisfaction sentiment
  • Identifying top-tier customers
  • Customer loss analytics
  • Lifetime value of customers
  • Price sensitivity
  • Inventory cost savings
  • Points of friction to customer purchase

Banking > Financial Services > Insurance

Dynamic global markets, rise of cryptocurrencies, and changing infrastructure have changed the playing field in this sector, forcing companies to adopt change or become irrelevant.

  • Integrating online and offline channels to create a unified view of leads
  • Uncover upsell and cross-sell opportunities
  • Fraud analytics
  • Improve customer experience by revealing friction points
  • Make faster, more accurate credit decisions
  • Improve targeting of customer acquisition campaigns

Consumer Goods

Increased global competition, shrinking margins, rapidly changing consumer attitudes force players in the consumer goods sector to operate with a narrow margin of error while remaining agile.

  • Accurate demand and seasonality forecasting
  • Live vendor and distributor dashboards
  • Customer price elasticity for each product
  • Competitor performance matrix
  • Delivery route optimization
  • Inventory and distribution center optimization
  • Product and inventory lifecycle management

Health Care

Data analytics, machine learning, and artificial intelligence are poised to bring tremendous efficiencies to health care systems, freeing medical professionals to focus on providing care instead of being bogged down with mundane tasks.

  • Scheduling efficiencies
  • Medical service planning forecasts such as demand for flu shots
  • Fraud detection
  • Patient churn

Hospitality > Tourism > Travel

We arm consumers with information and choices. Building loyalty is ever challenging in this sector, and true customer satisfaction can often be challenging to measure.

  • Consumer satisfaction matrix
  • Referral program value
  • Reach, frequency and monetary matrix of targeted offers
  • Real-time pricing for last-minute deals
  • Marketing ROI
  • Seasonal demand effects and service adjustments


Supply chain efficiencies address profit maximization throughout the manufacturing to consumption processes.  Advanced data analytics can provide a decision matrix for maximizing efficiency and profitability throughout the production to consumption chain.

  • Optimal network structure to optimize supply chain profits
  • Demand planning
  • Replenishment and vendor strategies
  • Distribution network modeling
  • Forecasting parts failure and anticipate service requirements