Home Data Confidence
Service vertical 02 · Big Data and Business Intelligence QA
Data Confidence
Trust every number the business sees. Five specialised offerings, one accountable partner, evidence at every step.
Overview
Data confidence, from source system to boardroom
Leadership acts on dashboards. Regulators act on records. Both assume the numbers underneath are correct. When a migration quietly drops rows, a pipeline breaks a transformation, or two systems disagree on the same customer, that assumption fails without a warning, and the cost lands later in a wrong decision or a failed audit. Baknet’s Data Confidence practice makes data quality measurable at every step: from source systems and pipelines, through the warehouse and semantic models, to the reports your business relies on.
This is testing built specifically for data, not general software checks pointed at a database. We prove completeness and accuracy with reconciliation and checksums, catch regressions before they reach production, and give you evidence you can put in front of an executive or an auditor. As with everything at Baknet, it sits under one accountable partner and is delivered by certified, senior practitioners, backed by an organisation certified to ISO/IEC 27001 and ISO 9001.
What we cover
Five specialised data offerings
Data Warehouse & BI Testing
Source-to-warehouse reconciliation, transformation and aggregation checks, and validation of the dashboards and reports leadership acts on. We prove the figures on the screen trace back to a validated source, so analytics becomes something the business trusts rather than second-guesses.
Data Migration Testing
Row counts, checksums and business-rule verification that prove zero data loss before and after cutover. Migrations are where records quietly disappear or change shape. We de-risk the move, validate retention and referential integrity, and give you a clean go or no-go call backed by evidence.
Data Quality & Validation
Profiling, rule-based checks and cross-system consistency, reported in scorecards your teams can act on. We find the root cause of quality issues rather than patching symptoms, so the same problems stop resurfacing and everyone works from one consistent version of the truth.
Data Advisory & Strategy
Risk assessment, testing strategy, governance models and a phased roadmap towards automation and observability. When you need to know where to invest first and how to build a data-quality function that lasts, we help you prioritise without over-engineering.
Data Pipelines & Continuous QA
Automated regression in your CI/CD process plus production observability, health dashboards and alerts. Quality checks that once ran occasionally now run on every release, so issues are caught in minutes and your data teams ship changes without firefighting afterwards.
Why Baknet
Why organisations choose Baknet for data assurance
Nothing slips between suppliers
Data assurance sits alongside our software quality, security and analytics work under one roof, so a problem caught in a pipeline is owned from end to end instead of falling between providers.
Measured, never anecdotal
We put data quality into figures and evidence: reconciliation results, coverage, and trends you can watch move over time.
Fitted to your systems
Checks are written as reusable assets against your own estate, whether that is a modern cloud warehouse, a long-standing database, or a mixture of the two.
Certified depth, fair price
Senior, certified practitioners and a delivery model spanning the UK, UAE and India give you both rigour and responsiveness without an inflated bill.
Measured, owned end to end, and fitted to your estate: data you can put in front of an executive or an auditor with confidence.
How we work
One disciplined path, from data landscape to evidence
We start by mapping your data landscape and agreeing what correct means for your business. We build rule sets and reconciliation suites, run them with the right tooling, remove false positives, and report defects with severity and business impact. A retest is included, and where it makes sense we leave automated checks behind so quality holds on every future release. See How We Engage for the full picture.
Questions, answered
Frequently asked
Is data testing not just part of normal software QA?
There is overlap, but data has failure modes that functional testing misses: silent truncation, encoding errors, broken transformations, and drift between systems. That is why our Data Confidence work uses techniques built specifically for data, and why it pairs well with our Software QA practice.
Do you need production access to our data?
Usually read-only access to the systems in scope is enough, agreed during discovery along with the critical data elements and thresholds we will check against.
Can you validate a migration we have already planned?
Yes. We can design an independent validation around your existing plan, covering pre-migration profiling, reconciliation and post-cutover checks, so you get an objective go or no-go decision.
How does a data assurance engagement begin?
Most engagements open with a short, obligation-free scoping conversation. We map the systems in scope, agree the critical data elements and thresholds that define correct, and confirm access, then return a scoped plan before any testing starts.
Which data platforms and tools do you work with?
We work across modern cloud warehouses, long-standing on-premise databases, and mixed estates, along with common ETL and pipeline technologies. Checks are written as reusable assets against your own environment rather than tied to a single vendor stack.
How do you handle confidentiality and data security?
We work under a signed non-disclosure agreement and to least-privilege, read-only access wherever possible. Baknet is itself certified to ISO/IEC 27001 and ISO 9001, so the information-security and quality standards we hold clients to are the ones we run our own business by.
How is the work priced?
Pricing is scoped to the systems, data volumes and depth of assurance you need, so you receive a clear proposal rather than an off-the-shelf rate. The initial scoping conversation carries no obligation.
Can you leave automated checks behind for ongoing assurance?
Yes. Where it makes sense we build reusable reconciliation and validation suites into your CI/CD process, so regression checks run on every release and quality holds over time. Our Data Pipelines & Continuous QA offering is built for exactly this.
What do we receive at the end?
A severity-rated report, quality scorecards, evidence of what was executed, and, where agreed, a set of reusable automated checks for ongoing assurance.
Ready to put your data on solid ground?
Tell us about your environment and your goals. We will map them to the right offerings and return a scoped, evidence-driven proposal.