Skip to content
Vylqora
Capabilities

Nine capabilities. One technology estate.

Each capability below is a discipline VYLQORA delivers on its own. Most engagements combine several, because the problems worth solving rarely sit inside one of them.

01

Digital Transformation

Change the operating model, not just the technology.

Business Outcomes

  • Reduced manual effort in high-volume processes
  • Shorter cycle times across core operations
  • Lower cost of running the legacy estate
  • A transformation sequence the business can actually fund

Most transformation programmes stall because they replace systems without changing the operating model around them. The technology lands, but the process, the data and the accountability stay where they were.

VYLQORA starts with the business outcome and works backwards: which decisions need to be faster, which processes carry the most friction, and which parts of the estate are holding everything else in place. That produces a sequenced programme where each phase is independently valuable.

The result is transformation that survives contact with day-to-day operations — adopted by the people doing the work, and measurable in the numbers the business already tracks.

What this covers

Strategy & Roadmap

  • Digital strategy definition
  • Transformation roadmap and sequencing
  • Operating-model modernization
  • Business case and investment framing

Process & Automation

  • Process assessment and redesign
  • Workflow automation
  • Intelligent document processing
  • Straight-through processing design

Legacy Transformation

  • Legacy estate assessment
  • Phased decommissioning strategy
  • Capability-based re-platforming
  • Change enablement and adoption
02

Cloud & Infrastructure

Modernize infrastructure for greater scalability, resilience and operational control.

Business Outcomes

  • Predictable, governed cloud spend
  • Elastic capacity without over-provisioning
  • Recovery objectives that have been tested, not assumed
  • One operating model across cloud and on-premises

Cloud stops paying off when migration is treated as a lift-and-shift exercise. Workloads move, spend rises, and the operational model stays unchanged — which is how organizations end up with two estates to run instead of one.

VYLQORA designs the target architecture and the landing zone before anything moves, then migrates in waves with clear exit criteria. Cost, resilience and security controls are engineered in from the first workload rather than retrofitted after the bill arrives.

For hybrid estates, we treat on-premises and cloud as one operating environment with consistent identity, monitoring, patching and recovery — so the team runs a single platform, not two.

What this covers

Cloud Strategy & Migration

  • Cloud strategy and target architecture
  • Azure solution design and landing zones
  • Workload assessment and migration waves
  • Application re-platforming and re-hosting

Hybrid Infrastructure

  • Hybrid and on-premises architecture
  • Infrastructure modernization
  • Virtualization and consolidation
  • Identity and network integration

Optimization & Continuity

  • Cloud cost optimization and governance
  • Performance and capacity engineering
  • Business continuity design
  • Disaster recovery and failover testing
03

Data, AI & Analytics

Turn fragmented enterprise data into a foundation for intelligent decisions and automation.

Business Outcomes

  • A single, trusted view of critical business entities
  • Decisions made on data the business agrees on
  • AI deployed where it removes real operational friction
  • Governance that keeps AI adoption defensible

AI does not fail on models. It fails on data that is duplicated across systems, defined differently by each function, and trusted by nobody in the room where the decision is made.

VYLQORA works on the foundation first: what the critical data entities are, where they are mastered, how quality is measured, and who owns them. With that in place, analytics becomes repeatable and AI becomes deployable rather than experimental.

On top of that foundation we build practical intelligence — generative and agentic AI applied to specific, high-friction workflows, with the governance and human oversight enterprises need before anything reaches production.

What this covers

Data Foundation

  • Data strategy and architecture
  • Critical data entity definition
  • Data quality measurement and remediation
  • Data governance and stewardship models

Analytics

  • Data platform and pipeline engineering
  • Business intelligence and reporting
  • Self-service analytics enablement
  • Metric definition and semantic layers

Artificial Intelligence

  • Generative AI use-case identification
  • Agentic AI and enterprise copilots
  • Retrieval-augmented generation (RAG)
  • Intelligent automation and AI governance
04

Master Data Management

Make one version of customer, product and supplier the version the business actually uses.

Business Outcomes

  • One trusted record per customer, product and supplier
  • Match precision and recall measured, not assumed
  • Stewardship workload sized to the team that has to clear it
  • Downstream systems consuming mastered data rather than reconciling it

MDM programmes rarely fail on platform capability. They fail because the golden record was defined by whoever configured it rather than by the people who have to act on it, because match rules shipped on vendor defaults, and because the stewardship queue produced more work than any team could clear.

VYLQORA treats MDM as a governance change delivered through a platform. We start from the decisions the mastered data has to support downstream, work back to the attributes that genuinely need survivorship, and agree the trust hierarchy with the business before anything is configured — because deciding which system is authoritative is a commercial judgement, not a technical one.

We work in depth across both major platforms. That includes greenfield implementation, tuning and rescue of programmes already in flight, and migration between platforms — most commonly Informatica to Reltio, where the data model and match strategy have to be rethought rather than lifted across.

What this covers

Reltio

  • Tenant design and environment strategy
  • Entity, relationship and graph modelling (L3)
  • Match rules, tokenization, merge and unmerge
  • Survivorship and golden-record configuration
  • Reference Data Management (RDM)
  • Data Change Requests and stewardship workflow
  • Integration Hub, streaming and consumption APIs
  • Initial load, delta strategy and reprocessing

Informatica MDM

  • Multidomain MDM Hub design and configuration
  • Customer 360, Product 360 and Supplier 360
  • Landing, staging and base object modelling
  • Trust, validation and match/merge tuning
  • Hierarchy Manager and relationship modelling
  • Informatica Data Quality (IDQ) profiling and cleansing
  • ActiveVOS workflows and Data Director (IDD)
  • Cloud MDM (IDMC) and SIF/BES integration

Advisory & Migration

  • Platform assessment and selection
  • Informatica to Reltio migration
  • Match-rule re-baselining and tuning
  • Data model rationalisation
  • Stewardship operating model design
  • Data governance and ownership frameworks
  • MDM programme review and recovery
  • Downstream consumption architecture
05

Cybersecurity & Network Solutions

Build security into the technology foundation before risk becomes disruption.

Business Outcomes

  • Known and prioritized exposure, not assumed safety
  • Access that matches roles instead of history
  • Monitoring that produces actionable signal
  • Continuity maintained through disruption

Security added at the end of a programme is expensive, brittle, and usually the first thing compromised. Security designed into the architecture is cheaper to run and far harder to break.

VYLQORA assesses the estate against how it is actually configured and operated, not how it was documented. That produces a prioritized set of findings ranked by exploitability and business impact — not a generic checklist.

From there we harden the foundations: identity and access, network segmentation, perimeter and endpoint controls, and monitoring that produces signal a small team can genuinely act on.

What this covers

Security Architecture

  • Security architecture and design review
  • Zero-trust and segmentation strategy
  • Security assessment and gap analysis
  • Control framework alignment

Identity & Network

  • Identity and access management
  • Privileged access controls
  • Firewall design and rule rationalization
  • Network security and segmentation

Operations & Hardening

  • Security monitoring and alerting
  • Server and endpoint hardening
  • Vulnerability and patch governance
  • Incident response readiness
06

Application Development & Modernization

Build and modernize applications that stay maintainable long after launch.

Business Outcomes

  • Faster, safer release cycles
  • Lower cost of change on core applications
  • Systems that integrate instead of duplicating data
  • Reduced dependency on individual engineers

The cost of an application is not what it takes to build. It is what it takes to change five years later, under load, with the original team gone.

VYLQORA engineers for that horizon: clear domain boundaries, tested code, documented interfaces and deployment automation. Modernization follows the same discipline — we carve capability out of monoliths incrementally rather than attempting a rewrite the business cannot absorb.

Integration is treated as a first-class concern. APIs are designed as products with versioning, contracts and observability, so the estate becomes composable instead of increasingly entangled.

What this covers

Engineering

  • Enterprise application development
  • Custom web and SaaS platforms
  • Frontend and backend engineering
  • UI/UX design and design systems

Modernization

  • Application portfolio assessment
  • Incremental monolith decomposition
  • Re-architecture and re-platforming
  • Technical debt reduction planning

Integration & Support

  • API design and engineering
  • API-led and event-driven integration
  • CRM, ERP and SaaS integration
  • Application support and enhancement
07

Managed IT Services

Run technology with predictable service, cost and accountability.

Business Outcomes

  • Predictable resolution times against agreed SLAs
  • Falling incident volume as root causes are removed
  • Operational cost that is planned rather than reactive
  • Institutional knowledge captured in runbooks

Operational teams rarely fail on capability. They fail on volume — the same incidents recurring because nobody owns the underlying problem.

VYLQORA structures managed services around two loops: a responsive loop that restores service against agreed SLAs, and an improvement loop that removes the recurring causes. The second is what makes the cost curve bend downwards over time.

Reporting is written for the business, not just for the service desk: what broke, what it cost in availability, what was permanently fixed, and what is scheduled next.

What this covers

Service Operations

  • L1, L2 and L3 support
  • Incident and request management
  • Problem management and root-cause analysis
  • Change and release management

Monitoring

  • Infrastructure monitoring
  • Application and service monitoring
  • Alert design and noise reduction
  • Capacity and availability tracking

Service Management

  • SLA and KPI definition
  • Service reporting and governance
  • Runbook and knowledge development
  • Continuous operational improvement
08

Server Deployment & Management

Server estates that are built to standard, hardened by default and recoverable on demand.

Business Outcomes

  • Consistent, hardened builds across the estate
  • Patch compliance that is measured, not assumed
  • Recovery objectives validated by real restore tests
  • Fewer outages caused by configuration drift

Server estates degrade quietly. Builds drift from standard, patch cycles slip, directory services accumulate objects nobody can account for, and backups pass their jobs while failing their restores.

VYLQORA builds to a defined standard image and configuration baseline, then keeps the estate there through patch governance and configuration monitoring. Recovery is proven by testing restores, not by reviewing backup reports.

The same discipline applies to the foundations most estates depend on entirely — Active Directory, DNS and DHCP — where a single unreviewed change can take an organization offline.

What this covers

Platform & Directory

  • Windows Server deployment and standards
  • Linux server deployment and management
  • Active Directory and domain controllers
  • DNS and DHCP design and management

Resilience

  • Virtualization design and management
  • High availability and clustering
  • Backup design and verification
  • Disaster recovery and restore testing

Estate Hygiene

  • Server hardening and baselines
  • Patch management and compliance
  • Performance and capacity monitoring
  • Estate documentation and standards
09

Technology Consulting

Decide with clarity before committing budget.

Business Outcomes

  • Investment aligned to stated business priorities
  • Trade-offs made visible before commitment
  • A roadmap with dependencies and sequencing resolved
  • Vendor selection based on evidence, not positioning

The most expensive technology decisions are made early, with the least information, and are the hardest to reverse. Advisory work earns its cost by improving the quality of those decisions.

VYLQORA provides independent assessment of the estate, the architecture and the options — including the option of not proceeding. Recommendations are written with the trade-offs visible, so leadership can see what is being accepted alongside what is being gained.

Every engagement produces something usable: a documented target architecture, a sequenced roadmap with dependencies, and a business case tied to outcomes the organization already measures.

What this covers

Assessment

  • Technology estate assessment
  • Architecture review and maturity analysis
  • Risk and technical debt evaluation
  • Cost and licensing analysis

Design

  • Enterprise and solution architecture
  • Target-state technology design
  • Technology roadmaps and sequencing
  • Standards and reference architecture

Advisory

  • Vendor and platform evaluation
  • Build-versus-buy analysis
  • Programme and delivery advisory
  • Executive technology briefings
Signature Practice
The VYLQORA MDM Practice

Master data, done so the business actually uses it.

Deep platform work across Reltio and Informatica MDM — and a delivery method built around the decisions that determine whether anyone trusts the golden record.

Greenfield implementation

Data model, match strategy, survivorship, stewardship workflow and downstream consumption designed and delivered end to end.

Programme rescue

Review and re-baselining of an MDM implementation already in flight that is not producing a record the business will act on.

Platform migration

Informatica to Reltio and comparable moves, where the data model and match strategy are rethought rather than lifted across unchanged.

Match-rule tuning

Measured re-tuning of match and merge behaviour against a labelled sample, with precision and recall reported before and after.

Platform Depth

Reltio

Cloud-native, API-first MDM. Suits organizations that need a graph view of relationships and real-time consumption by downstream applications.

  • Tenant and environment design
  • Entity, relationship and graph modelling (L3)
  • Match rules, tokenization, merge and unmerge
  • Survivorship and golden-record configuration
  • Reference Data Management (RDM)
  • Data Change Requests and stewardship workflow
  • Integration Hub, streaming and consumption APIs
  • Initial load, delta strategy and safe reprocessing

Informatica MDM

Deep, highly configurable multidomain MDM with mature data quality tooling. Suits complex estates with established governance and demanding match requirements.

  • Multidomain MDM Hub design and configuration
  • Customer 360, Product 360 and Supplier 360
  • Landing, staging and base object modelling
  • Trust, validation and match/merge tuning
  • Hierarchy Manager and relationship modelling
  • Informatica Data Quality (IDQ) profiling and cleansing
  • ActiveVOS workflows and Data Director (IDD)
  • Cloud MDM (IDMC) and SIF/BES integration
Delivery Standards

Ten practices we hold to on every MDM engagement.

MDM programmes rarely fail on platform capability. They fail on these decisions — which is why we make them explicit at the start rather than discovering them at go-live.

01

Define the golden record by consumption, not by source

Start from the decisions and downstream systems the record has to serve. That determines which attributes genuinely need survivorship and which merely need storing — and it stops the data model being shaped by whichever source was loaded first.

02

Agree the trust hierarchy with the business before configuration

Trust scores encode a commercial judgement about which system is authoritative for which attribute. That is an ownership decision, not a technical one. Configuring it without that agreement guarantees it will be disputed after go-live.

03

Tune match rules against a labelled sample before go-live

Vendor defaults are a starting point, not a configuration. We measure precision and recall against a hand-labelled sample and publish the numbers. Over-matching destroys business trust faster than under-matching, and is far harder to unwind.

04

Make survivorship per-attribute, not per-record

The most reliable source for a postal address is rarely the most reliable source for a tax identifier or a credit status. Record-level survivorship is simpler to configure and consistently produces a golden record nobody quite believes.

05

Onboard sources in waves with explicit exit criteria

Every additional source changes match behaviour across everything already loaded. Sequencing sources with defined acceptance criteria is what makes a regression traceable to the wave that caused it.

06

Size the stewardship queue to the team you actually have

An MDM platform that generates more tasks than stewards can clear degrades quietly into a backlog, and a backlog is indistinguishable from bad data to the people consuming it. Auto-merge thresholds are tuned against real steward capacity.

07

Treat reference data as a governed domain

Country, currency, industry and status codes feed match rules and survivorship directly. Left as uncontrolled lookup tables, they undermine the golden record from underneath while every dashboard still reports green.

08

Design for reprocessing from day one

Match rules will be retuned after go-live — that is a sign the programme is working, not failing. If reload and re-match cannot be run safely and repeatably, tuning stops and the configuration ossifies at its least-informed state.

09

Baseline data quality before, and publish the scorecard after

Without a measured starting point, MDM cannot demonstrate what it changed, and becomes a cost line at the next budget review. The scorecard is agreed with the business at the start of the engagement.

10

Keep MDM out of the integration business

It is a mastering system, not an enterprise service bus. Absorbing orchestration and transformation logic couples the entire estate to the MDM platform and makes future migration prohibitively expensive.

Reltio and Informatica are trademarks of their respective owners. VYLQORA implements, migrates and supports these platforms; naming them describes the technologies we work on and does not imply partnership, certification or endorsement by either vendor.

Discuss an MDM engagement
Engagement Models

Structured to match how you want to work.

The commercial shape of an engagement should follow the problem and the maturity of the team already in place — not a fixed delivery template.

01

Advisory & Consulting

Assessment, architecture and roadmap work that improves the quality of decisions before commitment.

02

Project-Based Delivery

Scoped, end-to-end delivery against agreed outcomes, milestones and acceptance criteria.

03

Dedicated Engineering Teams

Embedded capability that extends an internal team while working to shared standards.

04

Managed Technology Services

Ongoing operation and improvement of the estate against defined SLAs and KPIs.

05

AI Innovation Labs

Time-boxed proofs of concept and MVPs that establish feasibility before production investment.

Industries

Where these capabilities apply.

  • Financial Services & Insurance
  • Healthcare & Life Sciences
  • Manufacturing
  • Retail & Consumer
  • Technology & SaaS
  • Education
  • Professional Services
  • Travel & Hospitality
  • Logistics & Supply Chain
  • Startups & Growth Businesses
Case Studies

Published only once a client has approved them.

VYLQORA does not publish illustrative or anonymised examples presented as completed work. When engagements conclude and clients consent to release, documented case studies will appear here.

The structure each case study will follow

01
Challenge
The business problem, stated in the client’s terms.
02
Context
The estate, constraints and starting position.
03
Approach
How the work was sequenced and why.
04
Solution
What was designed, built or migrated.
05
Technology
Platforms and tooling actually used.
06
Outcome
Verified results, measured against agreed criteria.
Next Step

Not sure which capability the problem sits in?

That is usually the sign it sits across several. Describe the symptom and the constraint — the first conversation is about locating the actual problem, not selling a service line.

Chat on WhatsApp