Architectural Advantages

As the key technical person for assuring your company’s BI runs smoothly, there are some important considerations for what’s behind your BI:

  • Will I be able to quickly and iteratively develop an information management infrastructure behind my BI that I can change rapidly?
  • How will I ensure only good, accurate and consistent data gets into our BI system so it can be a trusted source for making sound business decisions?
  • How will I keep track of what happens in the warehouse so the business can easily do comparative and “as of” reporting and analyses?
  • Can I easily feed the different BI tools in use across my organization?
  • How do I make sure that my initial implementation will support both current and future requirements?
  • How can I implement a new approach without disrupting my current environment?
  • Will the approach I take to building the data warehouse be sustainable and supportable throughout the BI lifecycle?
  • Is it scalable?

The Kalido Information Engine addresses all these issues. From a data architect’s point of view, Kalido offers the following benefits:

  • Structure definition and history tracking are automated from a graphical environment – no more hand programming or searching though cryptic entity-relationship diagrams attempting to understand the business relationships between key corporate assets.
  • Single environment to master all your data: customer, product, employees, KPI, location, asset, chart of accounts and others, to ensure only good, valid data arrives in your BI reports.
  • No more manual BI configuration to deliver information from the data warehouse – automates and streamlines a painful and time-consuming step in the process, keeping existing reports up-to-date during a data warehouse structural change.
  • Reduced need for custom ETL programming –no longer required for creating the physical data warehouse structures or transforming data from source to target.
  • Automated staging table creation and management – reduces complexity of a key step in data warehouse development.