A golden source makes for useful data models
According to Deloitte, data scientists spend more than 90% of their time locating, cleansing, and reconfiguring data from various sources
This is not only an expensive use of their time, but also has a myriad of problems when the data they are using is not a true golden source. Mapador’s data lineage work can produce the golden source of data for superior data modelling, ensuring that an organization’s data and analytics models are using the most optimal and best quality data available.
Mapador refreshes stale data dynamically, creating a current, synchronous metadata repository, allowing data scientists to trust that the data they are building their models out of is the true source. Mapador translates an organization’s metadata into usable business analytic tools.
Powered by Mapador's Automated Application Cartography for Data Lineage
Our Automated Application Cartography uses sophisticated parsing engines to automatically analyze individual programming languages, accompanying scripts and operational components based on their syntax, regardless of implementing technologies. It then outputs all results into a common database and connects the various elements regardless of what technology type they originated from.
Just as a traditional street map helps you navigate from point A to point B, Automated Application Cartography allows you to understand impacts within and across your applications.
data analytics + lineage
Customized analytics that delivers cost savings
Mapador allows organizations to fully understand their own internal data systems and the connections and relationships throughout them. This allows organizations to trust that the data they are feeding their data models is actually true. In other words, Mapador helps banks uncover their golden source of data. Once established, this data can be fed into various metadata management, business informatics, or customized systems for analytical purposes.
A Top-Five Canadian Bank
Stakeholders in the bank were looking for ways to save money on data flow and simplify their data tables