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.
Data Quality Consulting Services
Data quality consulting services help enterprises assess, remediate, and govern the accuracy, completeness, and reliability of business data across critical systems. Multishoring works with executive stakeholders to transform fragmented, error-prone information into a trusted corporate asset—enabling confident decision-making, regulatory compliance, operational efficiency, and AI readiness.
What we deliver
- Enterprise data quality audits & profiling
- Data cleansing & remediation programs
- Master data standardization
- Automated validation pipelines
- Governance frameworks & stewardship
- Quality monitoring dashboards
When leadership engages us
- Conflicting reports across departments
- Customer or product data duplication
- Compliance & audit exposure risks
- Manual spreadsheet corrections
- Failed analytics or AI initiatives
- Poor trust in executive dashboards
Platforms & ecosystems
- Microsoft Purview
- Azure Data Factory
- Power BI quality dashboards
- Databricks & Spark profiling
- dbt & Great Expectations
- MDM solutions (Profisee, Informatica)
Business outcomes
Trusted enterprise reporting, reduced regulatory exposure, improved customer experience, and a governed data foundation supporting strategic growth.
Operational impact
Automated quality controls, standardized master data, reduced manual remediation effort, and proactive prevention of downstream reporting errors.
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 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.
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.
A Proven Path to Trusted Data
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.
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
| Automated Action | System Source | Impact | Status |
|---|
Beyond Data Quality – Our End-to-End Data Services
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.
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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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.