This principle recognizes that business domains with specialized knowledge, such as customer management or supply chain, are best equipped to model and provision the datasets required to empower their unique functions. Redistributing custody of informational assets away from centralized authorities to these operational stakeholders fosters more relevant and agile data products.
02
Data as a Product
By considering other domains within the organization as prospective customers, teams are incentivized to ensure the quality, security and currency of the analytical resources they cultivate and share. Continuous standards for data governance and documentation accompany each service to engender trust across the distributed ecosystem.
03
Self-Service Data Platform
A dedicated engineering group develops and maintains a shared foundation encompassing storage, queries, access control and automation upon which any business unit can rapidly architect, deploy and update the datasets and services critical to their work, while integrating uniformly with resources from partner divisions.
04
Federated Governance
While a top-level body establishes baseline rules concerning interoperability, privacy and regulatory alignment, autonomy is preserved through the localized embedment of compliance surveillance within native workflows, allowing for dynamic policies tailored to evolving statutory needs without obstructing progress.
Case study 1
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Go to Use Case Title
Work with the Right Experts
Reduced Bottlenecks
Distributing previously centralized responsibilities across numerous domain-level data teams relieves congestion, enabling each stakeholder to focus resources on the specific analytical challenges most pertinent to their mission.
Democratized Access
Self-service tools provisioned through the shared platform empower varied roles throughout the organization to intuitively explore relevant data reserves, fostering innovative insights from a diversity of perspectives.
Strengthened Compliance
Transparent activity logs and strict access protocols enforced at the domain level provide reassurance that sensitive information is properly safeguarded and all activities remain legislatively-vetted, preserving credibility for auditors and stakeholders.
Flexible, Cost-Effective Scalability
Employing an elastic cloud foundation allows computational workloads and transient data storage to expand on-demand according to unpredictable and autonomous requirements for each division, avoiding overprovisioning and waste.