A golden source makes for useful data models
Mapador generates lineage maps, call trees, process flows and system-wide metadata tagging so you understand how your data flows. That understanding is the basis of a trusted, golden source of data for analytics, machine learning and AI.
Data scientists spend most of their time just finding and fixing data
Deloitte has reported that data scientists spend more than 90% of their time locating, cleansing and reconfiguring data from various sources. That is an expensive use of their time, and it creates problems of its own when the data isn’t a true golden source.
Mapador’s lineage work produces that golden source. We refresh stale metadata dynamically, keeping a current repository so data scientists can trust what their models are built on, and we turn your metadata into usable business analytics tools.
Powered by Automated Application Cartography
Our parsing engines analyze each programming language, script and operational component by its syntax, whatever technology it runs on. Every result lands in one common database, where the elements are connected to each other regardless of the technology they came from.
A street map gets you from point A to point B. Automated Application Cartography shows you how a change in one place affects everything within and across your applications.
Customized analytics that deliver cost savings
Once you understand your systems and the relationships between them, you can trust the data feeding your models. That golden source can then feed metadata management, business intelligence or custom systems.
Build strong data models
A golden source established at the source code level means your models are built on clean data.
Customized exports
Lineage fed directly into metadata management systems such as Informatica and Collibra, or into custom solutions.
Significant cost savings
Move bloated data out of unnecessary repositories and legacy systems.
Data auditing
Audit the value of your data quickly and cost-effectively.
Top-five Canadian bank
The bank wanted to save money on data flows and simplify its data tables.
Teradata tables analyzed, identified and cleaned.
Data moved to a cloud data management system.
Saved by no longer hosting dead data in active repositories.
“We benefit from data lineage information for impact analysis. Having this information reduces work effort when estimating intake items, speeds up impact analysis activities at the beginning of a project, and the support teams can quickly find out who to notify and what jobs are impacted. Based on the Table File Lineage that Mapador has developed, a conservative estimate is that the TSAs would save 50 to 60% of their time.”
Top North American bank
The bank needed end-to-end lineage across a complex estate including DataStage, Oracle SQL, JCL, COBOL, Zeke, MultiLoad, FastLoad and Teradata, with the results feeding its metadata management system.
Data columns catalogued and classified.
Results fed directly into the bank’s metadata management system.
Feeding AI models?
A golden source is the starting point. See how traceable lineage makes AI explainable and defensible.
Book a consultation
Our technology does the heavy lifting so you don’t have to. Tell us about your systems and we’ll show you what automated lineage can uncover.