Ranked as one of the most prominent accounting firms globally providing several professional services ranging from auditing, consulting, and other tax services, the firm needed an organized way to manage and access a wide array of data assets. With numerous services and partners across the entire organization required a proper governance framework and automation for data cataloging, the company looked to Zaloni®’s DataOps platform, Arena, for a governed data catalog solution. 


With over 250,000 consultants and 30,000 clients across the enterprise, the firm faced the challenge of centralizing project-specific artifacts. Business users traditionally cataloged and updated digital assets manually, which was not only a time-consuming process but lacked governance and didn’t meet the highest data quality standards. 


Zaloni® utilized the Digital Asset Catalog capabilities in the Arena DataOps platform to maximize productivity and data reuse. This feature allowed business users to catalog a range of digital assets, for instance, internal and external data, reports, models, and code repositories. In addition to extended data cataloging capabilities, Arena’s end-zone data governance provided accurate data lineage, access controls, and improved data quality. 


With Arena’s extended digital asset catalog up and running, the firm reduced data duplication across their entire data enterprise and enabled better collaboration among their teams through a governed data catalog. Business users could easily find and access project-specific data assets, ultimately reducing costs and increasing time to insight.


Governed Data Catalog

case study at a glance
At a Glance

  • Challenge
  • Centralizing and sharing of project assets across 250,000 consultants and 30,000+ clients
  • Manual cataloging and updating of digital project assets with lack of governance
  • Solution
  • Digital asset catalog of internal and external data, reports, models, code repositories, and more
  • Data governance provides lineage, access controls and data quality
  • Results
  • Reduced duplication of effort and enabled collaboration across teams
  • Reduced costs and time to implementation for client projects