Wouldn’t it be perfect if you could have complete control over your data at unprecedented speed and in real time. Trianz’ Lean Analytics Solution leverages the processing power and performance of Data Warehouse Appliance (DWA) technology to do just that for you.

Using simpler and more organic steps, Trianz acquires all the available data -- not just slices of it -- and applies real-time computing principles to it. Our Lean Solution uses virtual snapshots (not the physical data) to permute the source data. The associated benefits include, but are not limited to, the following:

Straightforward and rapid changes/modifications:

  • Adds new data sources quickly with less complicated architecture and supply chain
  • Rapidly changes insight layers since they are virtual
  • Reduces modification delivery time from months to days; even hours in many cases

Decreased project cost:

  • Significantly reduces (even eliminates) developer-related design and development fees
  • Drastically reduces (sometimes eliminates) ETL licensing fees

Reduced maintenance:

  • Reduced need and number of support staff  due to less complicated framework
  • Faster problem resolution
  • Flexible options for support locations

Increased functionality:

  • Full self-service capacity for business units
  • Zero dependence on IT for report, dashboard, or analysis generation
  • Evolution into a true self-service environment with little IT involvement

Lean analytics framework and Big Data

Trianz’ Lean Solution is based on a framework that is fully scalable and so, can accommodate Big Data components, such as Hadoop technology. This greatly extends the life of your lean solution investment. In fact, with the added benefits of Hadoop, our Lean Data Analytics Services help you:

  • Maintain speed, functionality and flexibility
  • Greatly extend the life of your DWA technology investment
  • Significantly increase amounts and types of available source data
  • Lower overall TCO
  • Place data in the appropriate data store for the intended use
  • Avoid overspending and overstressing high-performance analytic environments with unused or extraneous data types
  • Provide for data exploration and discovery without impacting core BI application performance
  • Continuously balance data assets to the most appropriate storage level to optimize performance and reduce TCO
  • Leverage the same concepts as Trianz’ base Lean Solution (The work done to define business rules, data filters can be reused and kept consistent across platforms)