Services by AB Data Solutions

A tool alone doesn't build a data strategy — people do.

Our product, AB Data Management, is software-first. But when a team wants expert help — getting started, closing a specific gap, or standing up a governance program from scratch — AB Data Solutions offers a focused set of data-management advisory services. Domain-agnostic, applicable whether your data lives in finance, operations, product, sales, or anywhere else — and designed for exactly the same audience as our product: small and mid-sized companies who need real data management capability without hiring a governance department.

Data Strategy & Roadmap

Turn fragmented problems into a clear, prioritized plan.

Most companies don't lack data problems — they lack a way to see them as one problem. We gather the scattered, siloed pain points living across business and technical teams and structure them into a coherent data strategy: what's broken, what matters most, and what to do about it — split into near-term quick wins and a longer-term roadmap tied to business priorities, not just technical debt.

Includes

Current-state data & systems assessment, stakeholder input synthesis, a prioritized quick-wins + long-term roadmap, and an executive-ready narrative for investment and change.

Best for

Any company about to invest in data management for the first time that wants to spend that budget on the right things, in the right order.

Governance Transformation

Move governance from a policy document into decisions, roles, and daily practice.

A governance policy nobody follows isn't governance — it's a document. We map your actual requirements against the core data-management capability areas (ownership, quality, metadata, architecture, lineage), define concrete ownership and stewardship roles, and turn abstract policy into workflows people actually use.

Includes

Capability-area assessment and gap mapping, ownership/stewardship/accountability model design, policy-to-workflow translation, and a maturity-based roadmap tied to adoption, not just compliance box-ticking.

Best for

Teams that already have a policy, a framework, or a governance "initiative" that hasn't actually changed how anyone works yet.

Data Quality, Metadata & Lineage Assessment

Find out what's actually wrong — and where it comes from — before it costs you.

A structured review of your data estate: where quality breaks down, where metadata is missing or stale, and how data actually flows from source to the reports and decisions built on top of it. Delivered as a prioritized findings report tied to real business impact, not a raw list of technical issues.

Includes

Source-to-target mapping and lineage review, quality-rule and validation-gap analysis, metadata/documentation coverage review, and a ranked remediation plan.

Best for

A "we think we might have a data trust problem, but don't know how big" moment — before a board presentation, a customer audit, or a new system migration.

Data Product & Platform Roadmaps

Turn strategy into something engineering and analytics can actually build.

Strategy only matters once it's translated into a backlog. We help define the vision, success metrics, and delivery priorities for your key data products and platform capabilities — from requirements and acceptance criteria through impact analysis — so the roadmap survives contact with real delivery teams.

Includes

Data-product vision and success metrics, backlog definition (requirements, acceptance criteria, dependencies), schema-evolution and impact-analysis support, and delivery partnership with engineering/analytics teams.

Best for

Teams that have a strategy but need it turned into something a sprint board can actually track.

Metadata & Catalog Onboarding

Go from "nobody knows what this table means" to a clean, business-readable catalog — fast.

We do the unglamorous first-mile work: connecting your sources, reconciling naming across systems, writing initial plain-language descriptions for your highest-traffic tables, and setting up automatic business-name translation so it stays clean going forward without manual upkeep.

Includes

Source connection and validation, initial description/glossary population (AI-assisted, human-reviewed), naming-pattern configuration, and a clean first-pass catalog ready for your team to take over.

Best for

Teams with a legacy, undocumented data estate and nobody left who remembers why two tables are related.

AI-Ready Data Foundations

Prepare governed, well-documented data so AI and automation can be trusted with it.

Before an AI assistant, agent, or automation touches your data, it needs the same thing a new employee would: clear definitions, known ownership, and visible quality gaps. We assess your sources, mappings, and controls for AI-readiness and prioritize the fixes that matter most, tied to real business value and risk — not a generic AI-readiness checklist.

Includes

AI-readiness assessment across sources/mappings/controls, metadata design for assistants and automation use cases, governance touchpoints for AI-enabled workflows, and a risk-and-value-based prioritization.

Best for

Any team about to plug AI tools, agents, or automation into their data and wants to do it on a trustworthy foundation instead of finding out the hard way.

How services and software work together

Every service above is designed to make you more self-sufficient, not dependent on us — the goal of every engagement is to leave you owning your own data strategy. Services can stand alone, or sit alongside the product when that fit makes sense. Contact us to discuss what you need.

Not sure where to start?

A short conversation is the fastest way to find out which service — if any — fits your situation.

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