DATA & AI CONSULTING

Connect your data. Trust your insights. Put AI to work.

SnapBiz helps organizations build reliable data foundations, trusted analytics, and practical AI solutions, from strategy and architecture to implementation and ongoing support.

Power BI, Microsoft Fabric, Databricks, Azure Data & AI, Palantir Foundry, and Power Platform

Discuss Your ProjectExplore Our Services

Start with one challenge. We'll help you define a practical next step.

Connect → Understand → Apply AI → Act
Interactive demo · Sample data · Simulated AI
1/4

Step 4 · Shared semantic model

Shared semantic model

One dictionary for dashboards, AI, and workflows

Revenue

$1.25M

Open Pipeline

$420k

Conversion Rate

28%

  • Revenue
  • Open Pipeline
  • Conversion Rate

Ready for interactive analytics →

Connected sources. One trusted data foundation.

Common challenges

Where data and AI work usually gets stuck

Disconnected systems

CRM, finance, HR, and operations each hold part of the truth, so every report starts with a manual join.

Disputed metrics

Teams argue about definitions before they can decide. Shared models and owners are missing.

Manual reporting

Month-end and weekly packs still depend on copy-paste extracts that break when someone is out.

AI that is hard to trust

Experiments stall without approved sources, evaluation, permissions, and a clear human-review path.

Six ways we help

SnapBiz is a data and AI consulting firm. Start with the line that matches your problem: strategy, engineering, analytics, AI, applications, or ongoing support.

Data Strategy & Advisory

Data Strategy & Advisory

Define the architecture, priorities, and roadmap for data and AI that support your business goals.

View Strategy

Data Engineering & Integration

Data Engineering & Integration

Connect business systems and build reliable data foundations for analytics, applications, and AI.

View Engineering

Business Intelligence & Analytics

Business Intelligence & Analytics

Turn fragmented reporting into trusted dashboards and shared business metrics.

View BI

AI & Machine Learning

AI & Machine Learning

Apply AI to business information and workflows with clear evaluation and human oversight.

View AI

Data Applications & Automation

Data Applications & Automation

Build applications and workflows that help teams act on their data.

View Apps

Managed Data Services & Enablement

Managed Data Services & Enablement

Keep your data solutions reliable and help your team use and maintain them confidently.

View Managed

Platforms

Capabilities on the platforms you already use, or are adopting

Explore how we help on Power BI, Microsoft Fabric, Databricks, Azure, Palantir Foundry, and Power Platform.

Power BI Consulting

Turn business data into clear dashboards, shared metrics, and reporting your teams can trust.

Explore Services

Microsoft Fabric Consulting

Connect your data estate with integrated pipelines, lakehouses, warehouses, and analytics built on Microsoft Fabric.

Explore Services

Databricks Consulting

Build and modernize lakehouse platforms for data engineering, analytics, and machine learning.

Explore Services

Azure Data & AI Consulting

Design and implement cloud data platforms, integrations, and AI applications on Microsoft Azure.

Explore Services

Palantir Foundry Consulting

Connect enterprise data, develop your Ontology, and build applications that turn insights into business action.

Explore Services

Microsoft Power Platform Consulting

Build business applications, automate workflows, and create AI assistants with Power Apps, Power Automate, and Copilot Studio.

Explore Services

Examples

Data solutions for every business function.

Give your teams connected information, consistent metrics, and better tools for making decisions.

Financial reporting

Shared financial models, consolidation support, and variance views so finance leaders trust the pack without a weekend of spreadsheet reconciliation.

Revenue & customer analytics

Connect CRM and billing so pipeline, conversion, and revenue metrics use shared definitions leaders can defend.

Workforce analytics

Governed headcount, attrition, and workforce reporting with clear owners and appropriate access.

Operational analytics

Service, inventory, project, or asset information in views managers can investigate, and optionally act on through data applications.

AI knowledge assistants

Grounded assistants and document search over approved sources, with citations, permission boundaries, evaluation, and human review.

A clear path from problem to working solution

Standard sequence: discovery, assessment and scoping, design, implementation, validation, deployment and handover, then optional managed support. Scope depends on your systems and constraints.

  1. 1

    Discovery

    Learn how work moves today: the systems, people, definitions, and where friction shows up.

  2. 2

    Assessment & scoping

    Agree on outcomes, first slice, assumptions, exclusions, and how we will know it worked.

  3. 3

    Design

    Architecture, models, permissions, and UX for the scoped solution, with tradeoffs recorded.

  4. 4

    Implementation

    Build pipelines, analytics, AI, or applications with clear checkpoints and documentation.

  5. 5

    Validation & handover

    Reconcile totals, confirm filters and access, and hand over ownership with runbooks.

  6. 6

    Optional support

    Managed data services when you want ongoing monitoring, maintenance, and enablement.

Full delivery approach

DATA GOVERNANCE & RELIABILITY

Trusted data starts with clear definitions and ownership.

We build quality checks, shared business definitions, and appropriate access into your data solutions, so your team can understand the numbers and use them with confidence.

  • Shared definitions and accountable data owners
  • Validation, reconciliation, and refresh visibility
  • Role-based access and traceable data flows
Explore Our Approach
Data quality & lineage
Illustrative demo · Synthetic data

Source → model lineage

CRM→Finance GL→HRIS→Semantic model

Refresh

On schedule

Last 06:12 PT

Validation

2 warnings

Needs review

Owners set

12 / 12

Metric dictionary

Metric definition

Recognized revenue (QTD)

Invoiced + recognized from Finance GL, excluding tax, matched to CRM account ID.

Owner · Finance Controller

Validation issue

3 invoices missing CRM account link · West region

How we work with you

SnapBiz is founder-led. You work with the people doing the work. We show demos clearly labeled when they use sample data.

Founder experience

Aditya Bholla brings enterprise analytics, data platform, and application experience from large operating environments, including programs where many analysts depended on trusted definitions.

Working demonstrations

Sample, reconciled data across Connect, Understand, Apply AI, and Act. Deeper job-cost examples remain available as demos.

Clear claims

We describe what we deliver. Partner badges and client logos appear only when verified.

Questions we hear often

Straight answers about how SnapBiz works.

Start with one data or AI challenge. Share a little about your organization and what you want to improve on the contact form. We will help you define a practical next step.

Let's make your next data step clearer

Tell us what is getting in the way: disconnected systems, disputed metrics, manual reporting, or AI you cannot evaluate yet.

Discuss Your Project