Start smart. Build right. Scale with confidence.

See it. Score it. Scale it.

Every organisation starts from a different place — some have one system everyone complains about, others already know the real problem sits between systems: orders that never become invoices, or the same customer living in three places under three spellings.

ISW's Data Quality service profiles your data, automatically generates the rules to fix it, and gives you a clear, traffic-light view of where you stand, with a roadmap to scale as your needs grow.

Scope Options

Small
  • Shape: 1 integration process, 1 source
  • Source tables: up to 5
  • Max columns: up to 100
  • Daily task run time (max): 2 hours
  • Implementation: 4 weeks
  • Sample scenario: member/customer contact quality
  • Typical sources: Dynamics 365 or Salesforce
  • Typical target(s): Databricks, Fabric Lakehouse + Power BI dashboard (100+ pre-built connectors available)
  • Rule types: completeness, validity, format, duplicates
  • Best for: proving value fast, cleansing one data set, once-off or scheduled

Choose Small if you have one system everyone complains about, a specific upcoming event (a campaign, an audit, a migration), or need a quick win to secure a larger budget.

Medium
  • Shape: 1 integration process pulling from multiple source applications
  • Source tables: up to 10
  • Max columns: up to 500
  • Daily task run time (max): 4 hours
  • Implementation: 8 weeks
  • Sample scenario: Order-to-Cash quality across CRM, ERP, and a supplier price file
  • Typical sources: CRM + ERP + flat file (SFTP)
  • Typical target(s): Fabric Warehouse + Power BI dashboard + email alerts
  • Rule types: cross-system consistency and reconciliation
  • Best for: a business process with recurring reconciliation pain

Choose Medium if the pain is felt at a hand-off between systems — for example, month-end reconciliation, or sales and finance reporting different numbers.

Large
  • Shape: 1 deliverable solution across multiple source and target applications
  • Source tables: up to 50
  • Max columns: up to 1000
  • Daily task run time (max): 8 hours
  • Implementation: 16 weeks (phased)
  • Sample scenario: enterprise customer and product data quality for a multi-brand business
  • Typical sources: CRM, ERP, e-commerce, legacy database, supplier files
  • Typical target(s): Fabric Lakehouse (bronze/silver/gold), BI/analytics, write-back to CRM or MDM
  • Rule types: match and merge, address verification, stewardship workflow
  • Best for: an enterprise data quality capability and roadmap to data governance

Choose Large if data quality is becoming a governed, organisation-wide capability, with data stewards, write-back of corrected data, and quality SLAs for downstream analytics and AI.

The scale is flexible and can be adjusted at proposal stage. Every rule, connection, and dashboard carries forward to the next size up, with no rework.
 

Book a cnsultation

Why choose ISW

Local & Experienced

An Australian team with 30+ years delivering enterprise data and analytics solutions.

Certified Databricks Specialists

Certified in Data Engineering, Analytics, and Governance, so your implementation follows best practice from day one.

Multi-Platform Partner

Authorised reseller and implementation partner for Databricks, Microsoft, AWS, Snowflake, IBM, and Informatica.

Cloud Agnostic

We deploy on Azure, AWS, or GCP, built around what's right for you.

Flexible Engagement Models

Fixed price or time & materials, whichever fits your project.

We Scale With You

From a focused pilot to an enterprise-wide platform.

See what this looks like for your data

From one messy system to a customer living in three different places, tell us what's happening and we'll help you scope it.
 

Book a consultation

Getting started

  1. Book a 30-minute consultation — tell us your top data quality challenges.
  2. Choose a starting scope — Small, Medium, or Large — or ask us to recommend one.
  3. Share your IDMC rate card (optional) — so we can turn the IPU estimate into your actual expected consumption.
  4. Receive a custom proposal within 48 hours — including scope, schedule, IPU estimate, and investment.

Book a consultation

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FAQ

Who manages the infrastructure this runs on?

You're responsible for provisioning and managing the virtual machine hosting the Secure Agent, including the networking (firewall rules, VPN or ExpressRoute, DNS, and port access) needed to reach your on-premises applications, databases, and files.

What source systems are supported?

Any source accessible via a standard IDMC connector. A custom REST API data source is out of scope unless separately quoted.

What do we need to provide?

Business subject-matter experts available for rule definition and user testing, around 2–4 hours a week.

 

Who fixes the data?

You correct data in your source systems, except for the agreed write-back included in the Large scope.

Book a consultation
ISW is trusted by companies worldwide
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Talk to the experts

Nick Young
Nick Young
Business Development Manager NSW
ISW

Nick leads operational strategy and service delivery with a strong focus on data management and integration. With deep expertise in Informatica and enterprise data platforms, he helps organisations streamline processes, scale efficiently, and make smarter, data-driven decisions to support long-term business transformation.

https://www.linkedin.com/in/nickwyoung/