01
Which decisions should the BI environment improve?
Start with the operating and management decisions that require better visibility, not with a list of dashboards.
Analytics & Decision Intelligence
Business Intelligence
Build a governed analytical layer that gives people the right information at the right level of detail, without recreating another reporting silo.
NoèmeX works with organizations to design business intelligence environments around the decisions people actually need to make. We connect data models, KPI definitions, reporting logic, access and user experience so dashboards become part of how the organization operates rather than a parallel reporting exercise.
The work can range from consolidating fragmented reporting into a governed BI application to designing role-specific dashboards, automated refreshes and analytical workflows across finance, sales, operations and executive management.
NoèmeX perspectiveMake the system intelligible first: reveal the structure, constraints and variables that determine where change can produce the intended outcome.
Related leadership priorities
Analytics matters when it changes a decision, not when it adds another dashboard.
Use these pathways to connect analytical capabilities to the executives accountable for financial, operational, data and enterprise performance.
Questions we address
The decisions that shape the business intelligence work
We frame the engagement around the business, information and operating questions that must be resolved before the analytical capability can become dependable at enterprise scale.
02
Which KPIs need one governed definition?
Identify the measures that vary across teams, locations or systems and establish a shared business definition.
03
What level of detail does each user need?
Design executive summaries, management views and operational drill-downs around the needs and responsibilities of each audience.
04
How should reporting be refreshed and governed?
Define source systems, data pipelines, refresh expectations, ownership, access and change control so the analytical layer remains trusted.
What we deliver
A practical analytical capability that can move into operation
The exact scope depends on the organization, but the work typically produces a combination of these outputs.
01
BI current-state assessment
A review of reports, dashboards, data sources, ownership, duplicated metrics and manual reporting effort.
02
KPI and metric framework
Governed definitions, calculations, dimensional logic and ownership for the measures that matter most.
03
BI information architecture
A structure for executive, management and operational views, including navigation and drill-down behavior.
04
Data and refresh design
Source mapping, transformation logic, refresh cadence and orchestration requirements for the analytical layer.
05
Dashboard and application design
Role-specific analytical experiences designed around the questions users need to answer.
06
BI governance and adoption model
Ownership, release management, access, documentation and training required to sustain the environment.
Selected work
Evidence from a real enterprise environment
This example is drawn from the documented Global Data & BI case-study portfolio and illustrates the operating conditions behind the service.
Retail and e-commerce analytics10 systemsRetail & e-commerce · Sales and customer analytics
Integrated sales and e-commerce intelligence
A national retailer needed one analytical view across physical stores and e-commerce. NoèmeX consolidated data from 10 systems, including Salesforce, Oracle R12, Oracle E-commerce Cloud, Google Analytics and finance sources and organized seven years of historical data into a daily refreshed BI environment for store, regional and digital teams.
Read the case studyRelated analytics services
Continue into the adjacent analytical 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 analytics problem.
Analytics work can begin as focused advisory and continue into project delivery, embedded support or an ongoing managed model.
Advisory
Focused support for assessment, KPI design, governance, operating decisions and analytics roadmaps before implementation commitments are made.
Read more →Project delivery
Structured delivery when analytical design needs to move into data engineering, BI development, rollout and adoption.
Read more →Embedded teams
Specialists working alongside internal teams when production support, continuous improvement and analytical continuity 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 →
Business Intelligence
Start with the decision or performance problem that needs better evidence.
Share the business process, systems involved, current reporting or analytical 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 analytics and data environment.