Data Quality Consulting Services

Stop guessing. Start trusting your numbers.
Inaccurate data isn’t just an IT annoyance—it’s a barrier to growth. We help enterprise leaders eliminate the “garbage in, garbage out” cycle. Our data quality consulting services transform fragmented, unreliable information into a certified corporate asset, giving you the confidence to make strategic decisions, ensure compliance, and drive profitability.

BUSINESS IMPACT

Is Bad Data Holding Your Business Back?

You Can’t Trust Your Own Reports

When every department brings different numbers to the meeting, strategy stalls. If you find yourself relying on “gut feeling” because the dashboard looks wrong, you have a data quality crisis that is paralyzing leadership.

Customer Experience is Suffering

Duplicate records and missing details lead to embarrassing errors—like billing the wrong client or sending marketing emails to the wrong names. Poor data quality directly erodes your brand reputation.

You Are Wasting Budget on Manual Fixes

Your highly paid teams are spending hours scrubbing spreadsheets instead of analyzing trends. This “hidden factory” of manual data correction is a massive drain on operational efficiency and morale.

Regulatory Compliance is at Risk

Inaccurate data isn’t just inconvenient; it’s dangerous. Whether it’s GDPR, HIPAA, or financial reporting, data quality issues can lead to failed audits, heavy fines, and significant legal exposure.

Your AI Strategy Can’t Take Off

You are ready to invest in AI and Machine Learning, but your algorithms are only as good as the data feeding them. Without high-quality data, your advanced analytics projects will fail to deliver ROI.

OUR PRINCIPLES

Our Approach – Turning Data Liability Into Asset

We believe effective data quality is not a technical ticket to be closed; it is a core business discipline. Our consulting is built on three strategic principles to deliver results that your entire leadership team can measure and trust.

Value-First Prioritization

We don’t try to “boil the ocean” by fixing every meaningless error. We identify the critical data elements that directly impact your revenue, compliance, and strategic reporting. We focus our efforts where they deliver the highest Return on Investment (ROI) for the business.

Prevention First

Cleaning data is an expense; preventing bad data is an investment. We help you move from a reactive “fix-it” cycle to a proactive governance model. By implementing automated quality gates, we stop errors at the source before they pollute your decision-making.

Business-Led Ownership

Data quality cannot be solely an IT problem. We empower your business leaders to take ownership of their data assets. We establish the definitions, roles, and accountability structures that ensure your data remains trusted and accurate long after our engagement ends.

FULL-CYCLE CAPABILITIES

From Diagnosis to Sustainable Data Health

We don’t just find the problems. We fix them and ensure they stay fixed.

Many consultants will hand you a report listing your data errors and then wish you luck. We are different. We combine strategic advisory with hands-on technical execution. Whether you need to define a corporate governance policy or physically cleanse millions of records in your ERP, we handle the entire lifecycle. You get a single partner accountable for the result: trustworthy data.

Strategy & Governance Framework

We design the “rules of the road” for your organization. We help you define data standards, assign ownership roles, and establish the policies that ensure accountability across the business.

Deep-Dive Audit & Profiling

We go beyond surface-level symptoms. We technically profile your data to identify root causes of inaccuracies, quantifying the financial impact of bad data on your operations.

Remediation & Cleansing

We perform the heavy lifting of fixing historical data. From de-duplicating customer records to standardizing product codes, we ensure your baseline data is accurate and ready for use.

Automated Quality Firewalls

We implement technical validation rules and automated workflows that prevent bad data from entering your systems, stopping the “garbage in” cycle permanently.

Culture & Enablement

Tools alone won’t solve the problem. We train your teams and internal “Data Stewards” to maintain data quality standards, fostering a culture where everyone values accurate information.

We take full ownership of the problem, from diagnosing the root cause to engineering the permanent solution – delivering a governed data foundation you can finally trust.

OUR STEPS

A Proven Path to Trusted Data

Discovery & Impact Analysis

We start by understanding your business goals. We assess your current data state, identifying critical pain points and quantifying the cost of poor data quality on your operations and decision-making.

Outcome:

A clear, objective view of your data health and a prioritized business case that highlights exactly where fixing data will generate the most ROI.

Strategy & Rule Design

We work with your business stakeholders to define what “good data” looks like. We establish specific quality rules, metrics, and governance policies tailored to your industry requirements.

Outcome:

Documented standards and a governance framework that aligns IT execution with business expectations, eliminating ambiguity.

Remediation & Cleansing

This is the execution phase. We deploy automated tools and expert teams to cleanse historical data—removing duplicates, filling missing values, and standardizing formats across your systems.

Outcome:

An immediate, measurable improvement in data accuracy. Your teams stop wasting time on manual fixes and can trust the reports they generate.

Automation & Prevention

To ensure long-term health, we implement validation rules directly into your data pipelines and entry forms. This “firewall” prevents bad data from ever entering your systems again.

Outcome:

A shift from reactive cleaning to proactive prevention. Operational efficiency increases as the flow of bad data is permanently stopped.

Monitoring & Sustainment

We set up real-time quality dashboards and assign Data Stewardship roles. We provide the training and tools needed for your team to monitor data health as an ongoing KPI.

Outcome:

Lasting confidence. Data quality becomes a sustainable business discipline, ensuring your foundation for AI and analytics remains solid.

Our Technology Expertise & Capabilities

Enterprise-Grade Tools for Trusted Data

We leverage the most robust platforms in the industry to secure your data foundation. While our primary focus is the Microsoft Azure ecosystem, we are fully equipped to handle multi-cloud environments (AWS, Google Cloud) and modern data stacks.

Unified Governance (Purview) 

We use Microsoft Purview (and alternatives like Collibra or AWS DataZone) to create a holistic map of your data estate. This establishes the strategic framework, identifying where sensitive data lives, visualizing lineage, and enforcing quality policies across the organization.

Profiling & Discovery 

Before fixing data, we must understand it. We use tools like Azure Databricks and AWS Glue DataBrew to statistically scan your datasets. This deep profiling uncovers hidden anomalies, pattern inconsistencies, and “quality hotspots” that manual checks miss.

Automated Cleansing (ADF) 

We don’t just patch errors; we build automated remediation pipelines. Using Azure Data Factory, Azure Functions, or Spark, we implement scalable business logic that standardizes formats, enriches records, and deduplicates data as it flows through your system.

Master Data Management (MDM) 

To solve the “multiple versions of the truth” problem, we implement MDM solutions like Profisee (optimized for Azure) or Informatica. We help you create a single, authoritative “golden record” for critical entities like Customers and Products.

Quality Dashboards (Power BI) 

We make data health visible to the business. We build dedicated Power BI dashboards that track key quality metrics (completeness, accuracy) over time. This provides leadership with a clear, ongoing view of data reliability and ROI.

Pipeline Validation (dbt) 

For modern data stacks, we implement “Quality as Code.” Using tools like dbt and Great Expectations, we write automated tests that validate data integrity at every step of the pipeline, stopping bad data before it ever reaches your reports.

We Make Data Quality Visible and Measurable

You can’t manage what you don’t measure. We implement executive dashboards that give you a real-time view of your data health. We translate technical error counts into business-relevant KPIs.

Executive Data Health Overview

Scope: Enterprise Master Data

System Healthy

Trust Score Improvement (6 Months)

Quality by Data Domain

Automated Action	System Source	Impact	Status

Our Offer

Beyond Data Management – Our End-to-End Data Services

Data Governance Consulting

A strategy requires trust in your data. We help you implement the practical, day-to-day processes that keep your data accurate, secure, and compliant.

Data & Analytics Maturity Assessment

How do you know if your strategy is working? We provide a clear benchmark to assess your current capabilities and track your progress over time.

Data Warehouse Consulting

Your strategy needs a strong technical foundation. We design and build the scalable, secure cloud architecture to make it a reality.

Get Your Data Quality Roadmap with Multishoring

Let’s discuss the gap between the data you have and the data your business needs. Schedule an initial strategy call—no obligation involved. You’ll walk away with a clear assessment of your current data maturity and a prioritized action plan to restore trust in your numbers.

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Thank you for your interest in Multishoring.

We’d like to ask you a few questions to better understand your IT needs.

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FAQ

Frequently Asked Questions about Data Quality Consulting

Why can't our internal IT team simply fix the data?

IT teams are often focused on the “pipes”—keeping systems running and secure—rather than the quality of the “water” flowing through them. Data quality is often a business process issue (e.g., how sales teams enter data) rather than a technical bug. We bring the cross-departmental authority and specialized frameworks to solve the root cause, which is often political or procedural, not just technical.

What is the typical ROI of a data quality engagement?

The ROI is delivered in three areas: Operational Efficiency (reducing the 20-30% of time teams spend fixing data manually), Revenue Protection (preventing billing errors and lost leads), and Risk Mitigation (avoiding compliance fines). We typically aim to help clients reduce data-related operational costs by 30-40% within the first year.

How long does it take to see results?

While a full governance maturity transformation is a journey, we focus on “Quick Wins.” During our initial Discovery & Remediation phase (typically 4-6 weeks), we identify and bulk-cleanse the most critical errors impacting your immediate reporting. You will see tangible improvements in data trust within the first quarter of engagement.

Do we need to switch platforms to work with you?

No. Our philosophy is to maximize your existing investment. We are experts in the Microsoft stack (Azure, Purview, Power BI) as well as major cloud platforms (AWS, Snowflake). We implement quality rules *inside* your current architecture, only recommending new tools if your current stack is technically incapable of meeting your governance requirements.

Our customer data is inconsistent across Sales and Finance systems. How do we fix this "Single View" problem?

This is a classic Master Data Management (MDM) challenge. When data lives in silos, you end up with duplicate records and conflicting information. We solve this by implementing a “Golden Record” strategy—creating a centralized, authoritative source for your critical entities (like Customers or Products) that pushes validated data back to all your operational systems, ensuring everyone is looking at the same numbers.

We are planning a major system migration (e.g., to cloud/ERP). Should we clean our data before or after?

Always before. Migrating bad data is one of the primary reasons ERP and cloud modernization projects go over budget and fail to deliver ROI. We perform a “Data Quality Health Check” and remediation before the migration begins. This ensures you only pay to move accurate, valuable data, significantly reducing the risk of errors in your new environment.

Our BI dashboards are unreliable because of missing or incomplete data. Can you help?

Absolutely. Analytics initiatives often fail because of the “Garbage In, Garbage Out” principle. If your input data has null values or incorrect formatting, your dashboards will lie to you. We trace these errors back to the source, implementing automated validation rules and enrichment processes to ensure your BI tools are fed with complete, certified data you can base decisions on.

How does poor data quality impact our regulatory compliance (GDPR, HIPAA, ESG)?

It creates significant legal risk. If you cannot accurately identify customer records due to duplicates, you cannot honor “Right to be Forgotten” requests (GDPR). If your reporting data is flawed, your ESG or financial disclosures may be incorrect. We implement Data Governance frameworks that ensure your data is not only accurate but also traceable and compliant with international regulations.