01
Who should have access to which data?
Define role, domain, geography and sensitivity-based access requirements at the level needed for real business processes.
Data Management
Data Security & Access
Protect enterprise data at the level where it is used, not only at the application boundary.
NoèmeX works with organizations to design access and security models around enterprise data itself. The work addresses who can discover, view, change, approve and use critical information across systems, platforms and regions.
The objective is to reduce duplicated access logic while preserving local responsibilities, separation of duties, traceability and the practical needs of finance, operations, analytics and AI teams.
NoèmeX perspectiveMake the system intelligible first: reveal the structure, constraints and variables that determine where change can produce the intended outcome.
Related leadership priorities
Data priorities change with the decision the organization needs to trust.
Use these pathways to connect data foundations to governance, technology, AI readiness and executive decision-making.
Questions we address
The decisions that shape the data security & access work
We frame the engagement around the business, governance and technical questions that must be resolved for the capability to work reliably at enterprise scale.
02
Where are controls duplicated or inconsistent?
Identify conflicting application-level and platform-level security models that create administrative effort and risk.
03
How should approvals and exceptions work?
Create traceable processes for requesting, reviewing, granting, changing and revoking access.
04
How should security evolve with the data estate?
Connect access governance to new platforms, models, data products and AI use cases rather than redesigning controls for every initiative.
What we deliver
A practical structure that can move into implementation
The exact scope depends on the organization, but the work typically produces a combination of these outputs.
01
Data access assessment
A view of current roles, entitlements, approval processes, duplicated controls and high-risk access patterns.
02
Role and policy model
Business-readable rules for access based on role, domain, geography, sensitivity and purpose.
03
Approval and recertification workflow
Processes for access requests, approvals, periodic review, exceptions and removal.
04
Data-level security architecture
A target model for enforcing permissions consistently across platforms and analytical layers.
05
Auditability and evidence model
Logging and evidence requirements that support review, investigation and compliance.
06
Lifecycle and retention alignment
Access and control considerations connected to retention, archival and end-of-life decisions for enterprise information.
Selected work
Evidence from a real enterprise data environment
This example is drawn from the documented Global Data & BI case-study portfolio and illustrates the operating conditions behind the service.
Access-control simplification4,000 systemsChemical industry · Data access governance
Global data governance platform
The global data governance case identified inconsistent access protocols across more than 4,000 IT systems, alongside separate security controls on data platforms. The transformation introduced a unified access-control approach within the governance platform, reducing redundancy and strengthening role-based control across the enterprise.
Read the case studyRelated data services
Continue into the adjacent data capability.
These services often intersect in the same transformation program, but each has a distinct purpose and page.
How we work
Use the engagement model that fits the data problem.
Data work can begin as focused advisory and continue into project delivery, embedded support or an ongoing managed model.
Advisory
Focused support for assessment, governance, architecture and roadmap decisions before major implementation commitments are made.
Read more →Project delivery
Structured implementation when the data design needs to move into engineering, migration, rollout and adoption.
Read more →Embedded teams
Specialists working alongside internal teams when continuity, production support and ongoing improvement matter.
Read more →Your Contact Persons
Connect directly with the people responsible for this work. Explore their experience and contact options.
Zahra Fathisalout
Founder · Eng., CSP, CMLAI
Corporate governance · ASC-C.Dir. candidate
Works across strategy, enterprise transformation, data, AI and governance, bringing operational engineering experience to complex transformation decisions.
View profile →
Brendan Young
B.Com, Director of Operations
Connects transformation design with operating discipline, drawing on logistics, fulfillment and high-throughput operational leadership.
View profile →
Data Security & Access
Start with the data problem that is creating friction.
Share the business process, systems involved, current data constraints and the decision or operational outcome that needs to improve. Our teams can determine where the work should begin and how it connects to the wider data estate.