Data and Analytics
Reporting leadership can trust.
We structure, model, and validate your data first, then build the dashboards, reports, and conversational tools on top of it. Whether the answer comes from a dashboard or a chatbot, it holds up because the data underneath is accurate, consistent, and governed. The same foundation makes your data ready for AI.
Signs you need this
- Every department brings a different number to the leadership meeting.
- Reports are rebuilt by hand every week or month.
- Nobody trusts the dashboard, so people keep their own spreadsheets.
- Revenue, margin, or headcount mean different things to different teams.
- You want AI, but your data isn't ready for it.
What we deliver
Data assessment
A source data inventory, data quality findings, the leadership questions and KPIs your reporting has to answer, and a phased build plan.
Data quality scan
A scan of source databases using eSapiens ThunderScan, where structured databases are in scope.
Agreed metric definitions
Every report and answer uses the same meaning of revenue, margin, or headcount.
A governed data foundation
Data models and a governed foundation, including a data warehouse where needed.
Automated quality checks
Pipelines with checks that flag problems before they reach a report.
Dashboards and conversational analytics
Leadership dashboards, scheduled reporting, and, where in scope, a chat interface that answers questions from the same governed data.
Dashboards are only as good as the data underneath them.
Proof
Results we've delivered
90%+
AI accuracy raised from under 50% to 90%+
Financial services
Zero
Zero client-reported data discrepancies in the first 90 days
Financial services
6 weeks
Full data remediation in 6 weeks with zero downtime
Real estate
ERP data gaps caught before build, avoiding rework in both the app and the ERP
Industrial distribution
How we work
Step 1: Assessment
Three weeks to inventory your data, settle the KPIs, and plan the build.
Step 2: Build phases
Six to eight weeks each. Most engagements run one to three phases.
Step 3: Support & Maintenance
Keeps reporting accurate after launch.
Pricing tailored to your scope
Assessment is $20,000, fixed. After that, we price the work to your scope in a fixed proposal before it starts. Find your starting point or book an intro call to begin.
Frequently asked questions
What does Data and Analytics cost?
The data assessment is $20,000, fixed. Build phases are priced to your scope in a fixed proposal before work starts.
Do we need System Integrations first?
Not always. Data and Analytics often follows System Integrations, but if your data is reachable where it lives, we can start with the assessment.
How does this help with AI?
The same governed data foundation that makes reporting trustworthy makes your data ready for AI.
Ready to get your team's time back?
In 30 minutes, we'll map where your time and money are leaking, and you'll leave with at least one idea you can act on, whether or not we work together.