Data Intelligence
Find Useful Signals in Business Data

A data warehouse gives you one source of truth. Data intelligence is what makes that truth usable day to day: the reporting, dashboards, and analytics layer that turns raw, governed data into answers leaders and teams can act on without waiting on a manual pull.

We design and build the reporting and analytics layer on top of your data foundation, so every team gets fast, consistent answers instead of a week of spreadsheet reconciliation. This also forms the foundation for powerful AI solutions to help you move your business forward rapidly.

Reporting & Dashboard Design

We design dashboards and reports around the decisions your leaders and teams actually make, not a generic set of default charts. Each view is built to answer a real, recurring question.

KPI & Metrics Framework

We help you define and standardize the metrics that matter, so "revenue" or "active customers" means the same thing in finance, sales, and operations. This is what keeps a report from becoming a debate.

Self-Service Analytics Enablement

We set up the tools and access model that let teams explore data on their own, within clear guardrails, instead of routing every question through an analyst.

What a Real Analytics Layer Gets You

Faster, More Confident Decisions

Reporting that used to take weeks happens in a fraction of the time, so decisions get made while they still matter.

Consistent Metrics Across Teams

Everyone works from the same defined KPIs. Meetings no longer stall while leaders debate over whose number is right.

Less Analyst Time Spent on Manual Pulls

Self-service dashboards free up your analysts to work on higher-value questions instead of recurring report requests.

Trends You Can Actually See

Consistent historical reporting makes year-over-year and quarter-over-quarter comparisons reliable instead of guesswork.

A Head Start on Predictive Analytics

A well-structured reporting layer is the natural next step toward forecasting and predictive models, when you're ready for them.

On-Demand Visibility for Leadership

Leaders get a live view of the numbers whenever they need it, instead of waiting on someone to compile a deck before the next meeting.

7 Signs Your Business Has Outgrown Spreadsheets and BI Tools

If your teams struggle with conflicting reports and slow insights, it may be time to move beyond spreadsheets and BI tools.

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Your Data Is Your Greatest Asset—If You Can Trust It

Mid-market companies have plenty of data, but not enough trust in it. Learn how a single source of truth turns data into a scalable asset.

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Trust Our Technology Stack

The technologies we work with on a regular basis so you don't have to.

Frontend

Blazor
Nativescript
Typescript
Vue.js
Flutter
HTML
CSS
JavaScript
jQuery
Maui
Unity
Xamarin

Backend

.NET Framework
.NET Standard
.NET Core
PHP
MSSQL Server
MySQL
Firebase
Puppeteer
Node.js
Blazor
Laravel

Dev Languages

C#
C++
Cobol
Google Apps Script
Java
JavaScript
Kotlin
Perl
PHP
Python
Swift
VB
VB.Net
VBA
Objective-C

AI Platforms

AI-Enabled IDEs
Gemini
ChatGPT
Claude
Copilot
Pieces

CMS

DotNetNuke
Magento
OctoberCMS
Wix
WordPress
nopCommerce

UX Design

Miro
Adobe
Figma
Sketch

Project Management

Azure DevOps
Jira

Mobile Platforms

Android
iOS

BI Platforms

Google Data Studio
Microsoft Power BI

Cloud Infrastructure

Azure
AWS
Google Cloud

Payments

Bill.com
Payrix
Stripe

Containers

Docker
Kubernetes

HCM

Paycor
ADP

RPA

OpenRPA
UiPath

CRM

Dynamics CRM
HubSpot
Salesforce

API Technologies

GraphQL
REST
SOAP

ERP

Dynamics AX
Epicor
SAP

Messaging Services

Firebase
SendGrid
Twilio / MessageBird

Frequently Asked Questions

Is this only relevant for large enterprises?

No. Mid-market organizations often feel the pain of inconsistent reporting sooner, since they tend to scale quickly without a lot of guardrails already in place.

How is this different from just building more dashboards?

More dashboards without standardized metrics and governed data usually just means more places to disagree. This service starts with getting the definitions and data right, then builds the reporting layer on top of the single point of truth.

Do we need to be ready for AI to get value from this?

No. Faster reporting and aligned metrics deliver value on their own. A strong analytics layer also happens to be a natural stepping stone toward forecasting and predictive analytics later on.

Built Around Your Growth

Custom Software Assurance

Proof Is in the Work

Ideas That Move Work Forward

Data IntelligenceFind Useful Signals in Business Data