Metrics that will not reconcile
Leadership cannot line up revenue, margin, or operational KPIs across ERP, CRM, finance, and spreadsheets. Meetings start with whose number is right.
PAST THE NOISE
Know where your business really makes money.
We connect your business data and build AI-powered analytical systems that turn fragmented information into trusted insights and better decisions.
Built by consultants who have delivered enterprise analytics solutions across North America, Europe, and APAC.
69 projects delivered4.9★ across 40+ verified reviewsNorth AmericaEuropeAPAC
Platforms we build on
MicrosoftSnowflakeDatabricksAWSGoogle CloudSAPHubSpotShopifyPower BISalesforce
You have the data.
But good data is only useful when you can act on it.
Most companies already own all the data they need. It lives in dozens of systems - none of them speaking the same language when leadership needs an answer.
Finance time lost to the pack
Month-end still means exporting, pivoting, and rewriting variance commentary. The explanation arrives after the decision window.
Analysts stuck in preparation
The people who understand the business spend their week extracting and reshaping data, then have little time left to interpret it.
Questions the warehouse can answer, slowly
Business users want to ask about sales, cost, and profitability in plain language. Today that request becomes another report in a queue.
AI that works in a demo and stalls in production
A prototype answers a rehearsed question. It does not yet have permissions, tested calculations, or a person accountable for the output.
BI that is slow to trust
The existing environment is expensive, poorly governed, or brittle to change. Refresh failures surface in the board pack, not in monitoring.
Capabilities
We do not sell dashboards.
Three practices, one outcome: numbers leadership can reconcile and act on.
Claude & ChatGPT analytics
Ask a business question. Trace the figure behind the answer.
Natural-language analytics is useful when it is tied to approved data. Noeris implements that layer for finance, operations, and leadership teams—and keeps the calculation in the system that already owns the metric.
- The question is interpreted by Claude or ChatGPT.
- The figure is calculated in the warehouse or semantic model.
- A reviewer sees the evidence before the number is treated as a decision.
Illustrative sample
Not a client result
Calculated result
- Gross margin
- 31.4%
- Prior month
- 34.1%
- Change
- −2.7 pt
The decline is concentrated in mix and inbound freight. Price did not move enough to explain the gap.
- Product mix shifted toward a lower-margin family.
- Freight per unit rose in two regions.
- Average selling price was flat.
Figures are computed from a sample semantic model. The language model explains the result. It is not the source of the numbers.
The decision system
Fragmented systems converge into one intelligence layer - then flow outward to the people who decide.
CommerceERPMarketingCRMFinanceIntelligenceBusiness teamsExecutive leadership
Noeris connects commerce, ERP, CRM, finance, and marketing into a governed analytics platform - so every team and every executive works from the same truth.
Built for the businesses we understand.
We partner with organizations that have outgrown spreadsheets and disconnected reporting. Whether you're running an eCommerce brand, a manufacturing business, or a PE-backed portfolio company, we understand the systems you rely on and the leaders who depend on trusted data.
Platforms We Integrate
We build intelligence by connecting the platforms that already power your business.
Commerce
CRM
ERP
Finance
Data Platforms
Marketing
Teams We Empower
Trusted by business leaders who rely on accurate data to make critical decisions every day.
Executive Leadership
CEO
Company performance and strategic decisions.
COO
Operational visibility and execution.
CFO
Financial reporting, profitability and forecasting.
CIO / CTO
Data governance and platform strategy.
Business Teams
Finance
Close, budgeting and performance.
Sales
Pipeline, forecasting and revenue.
Marketing
Campaign attribution and ROI.
Operations
Efficiency, inventory and fulfillment.
Supply Chain
Procurement and logistics.
Customer Success
Retention and customer health.
HR
Workforce planning and people analytics.
Microsoft-CertifiedExpert-Vetted (Top Rated Plus, Upwork)Delivered across 3 continentsPrincipal-led on every engagement
Executive P&L · Live
Revenue
$4.2M
+12%
Margin
34.8%
+2.1pt
Channels
6
Unified
Contribution margin by channelLast 12 weeks
Oil & Gas
From monthly reporting cycles
to daily P&L visibility.
Real-time well monitoring across multi-site operations
A major integrated energy company needed unified visibility across production volumes and environmental compliance metrics from multiple wells. Data lived in disconnected systems with no real-time monitoring, creating regulatory risk and operational blind spots.
Engagement LeadAnkita Jaiswal
The team
Data engineering, analytics, and AI in one practice.
Principal consultants lead the engagement. Platform engineering, enterprise reporting, and AI-assisted analysis are delivered together, so a warehouse change and a management pack do not come from disconnected vendors.
Ankita Jaiswal
Principal Consultant, Analytics Delivery
Leads analytics delivery across executive reporting, Power BI, and Spotfire, with the business definition of each metric kept in front of the build.
Ayush Dubey
Principal Consultant, Architecture & Engineering
Leads data platform and AI engineering: cloud architecture, pipelines, and the controls required to run an analytical workflow.
Shiva Prakash
AI & Analytics Specialist
Focuses on enterprise analytics and AI-assisted reporting: semantic models, financial analysis, and workflows that explain a variance from governed data.
How we work
Discover, design, build, validate, operate.
01
Discover
Map the decisions, the systems that hold the data, and where numbers disagree. A principal consultant leads this with the people who own the outcome.
02
Design
Specify the data model, the reporting workflow, and—where AI is in scope—the controls: approved datasets, permissions, and what a person must review.
03
Build
Implement pipelines, semantic models, dashboards, or analytical workflows in releases your team can review.
04
Validate
Check calculations, reconciliations, and access against agreed tests. An AI explanation is usable when the figure comes from the underlying data.
05
Operate
Hand over documentation and, where you want it, stay for monitoring, report operations, and a queue of improvements.
How to engage
Start with a question, a build, or the system you already run.
Scope is agreed before work starts. These are ways to engage, not packaged prices or response-time guarantees.
Analytics & AI Diagnostic
A fixed-scope assessment of business data, reporting processes, and the AI uses worth taking further.
- Data and reporting assessment
- High-value automation opportunities
- Technical feasibility and risk review
- Prioritized implementation roadmap
Analytics & AI Implementation
A defined project to connect data, implement a governed analytical workflow, and deliver the reporting or conversational layer you agreed.
- Connected sources and a reconcilable model
- Dashboards, reporting automation, or conversational analytics
- Validation of the calculations that matter
- Handover your team can operate
Managed Analytics & AI
An ongoing engagement for data quality, reporting reliability, workflow maintenance, monitoring, and agreed improvements.
- Refresh and data-quality monitoring
- Recurring report and workflow maintenance
- Review of exceptions you choose to watch
- A backlog of improvements, agreed with you
“Ankita is one of the most skilled professionals I have worked with. She has advanced Power BI knowledge along with outstanding communication skills.”
“Ankita is a true professional. She understood the requirements perfectly, delivered quality work on time, and communicated clearly throughout. Highly recommend.”
“Excellent experience working with Ankita. Went above and beyond to ensure everything was accurate and functional.”
Bring the decision the current numbers cannot support.
Every Noeris engagement is led by a Principal Consultant. From discovery and architecture to implementation and executive handover, you'll work directly with the experts responsible for your solution - not a separate sales team.