Data Analytics & AI Integration
We connect your data, fix your reporting, and put AI to work where it actually helps.
ClarusIQ is a data analytics and AI integration partner for teams who already have Power BI, spreadsheets, and systems — but still can't get a straight answer out of them.
CRM
$482K
Spreadsheet
$451K
Ads platform
$509K
ERP export
$470K
Illustrative example — synthetic data
Clarity That Drives Intelligence
Clarus — clarity
Making complex information understandable, and removing the confusion between the two.
IQ — intelligence
Connecting information with business context to produce insight you can actually act on.
Making complex data clear — and making intelligence useful.
The problem isn't data. It's what happens after the report.
Most teams we talk to already have dashboards, exports, and a folder full of spreadsheets. The reporting still isn't the problem.
Two reports get pulled up in the same meeting, and they disagree.
Nobody remembers why a metric changed, so the debate is about the number instead of the decision.
A dashboard exists, but someone still rebuilds the same view in a spreadsheet every Monday.
An AI pilot got built, but nobody trusts the data underneath it enough to put it in front of a client.
“Analytics and AI have to work inside the business, not just inside a report nobody opens.”
Talk to us about your data01 — Foundation
Trust your data
Connect your systems, standardize your definitions, and stop reconciling reports by hand.
- Connect information from different business systems
- Automate data preparation and movement
- Establish consistent business definitions and metrics
- Improve data models, validation, and reporting reliability
Before
After
Quarterly performance
Illustrative example — synthetic data
Pipeline value
$1.2M
+6.4% vs. last quarter
Conversion rate
3.8%
-0.3% vs. last quarter
Avg. deal cycle
34 days
-2 days vs. last quarter
Revenue by week
Last 8 weeks
02 — Reporting
Understand your business
Reporting built around the decisions you actually need to make — not just what happened, but what deserves attention.
- Reporting built around real business questions and decisions
- Power BI reports and semantic models that hold up under scrutiny
- Investigate what changed, where conversion is leaking, and what's driving it
03 — Applied AI
Put intelligence to work
AI applied to real, recurring tasks — grounded in your actual, trusted data. Not AI for its own sake.
Authorized users ask questions of approved business data
Grounded performance summaries and recurring analysis assistance
Suitable workflow steps automated, with appropriate controls
“We evaluate every AI use case against one test: does it measurably improve a defined task. If it doesn't, we say so.”
Talk about your use caseDomains
Built for a specific kind of mess.
Not every business has this problem in the same way. This approach tends to help most where operational data is spread across systems that were never designed to talk to each other.
Marketing
Campaign, spend, and attribution data spread across ad platforms and a CRM that never quite agrees with the numbers finance is looking at.
Manufacturing
Production, inventory, and supply data spread across ERPs and spreadsheets, with reporting that lags behind the shop floor.
Professional services
Utilization, project margins, and client data scattered across time-tracking, invoicing, and one-off spreadsheets.
Retail & e-commerce
Sales, inventory, and marketing data living in disconnected platforms, with reporting that trails actual demand.
Nonprofit & programs
Program and outcome data spread across grant systems and spreadsheets, built more for funders than for decisions.
Why ClarusIQ
Built by someone who's done this at scale — now doing it for you directly.
Every engagement gets direct access to the person actually doing the analysis, backed by hands-on experience across the Microsoft ecosystem: consolidating fragmented data pipelines, automating large-scale Power BI reporting, and integrating AI into real analytics workflows.
See the case studiesHow it works
A low-risk way to start.
01
Diagnose
A scoped Reporting Diagnostic looks at where your current metrics disagree and why — with a defined deliverable regardless of what happens next.
02
Recommend
A short, written recommendation for what fixing the foundation — or building the report you actually need — would involve.
03
Implement
If it makes sense to continue, the work proceeds in scoped stages — never a platform overhaul you didn't ask for.
Let's find out what your data is actually telling you.
A short conversation is enough to know if there's a real fit.
Book a Reporting Diagnostic