Results Driving Your Business Forward

45%

Faster Roadmap-to-Execution Alignment

35%

Reduction in Analytics Rework

40%

Fewer Data Incidents with Observability

30%

Lower Platform TCO

Shifting Enterprise Data Assessment from Reporting to AI

Organizations are no longer competing over data volume, but rather on trusted, reusable, and governed data products. However, building a data platform that supports current and future business deliverables is a complex task that may fail to translate data strategies into actionable impact. At TxMinds, our data assessment consulting services leverage AI-ready foundations to shift your isolated and temporary pipelines to domain-aligned data platforms. Our global data assessment & delivery capability involves:

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Data and platform assessment
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Data migration planning
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Data quality and governance
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Data platform modernization
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BI testing
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Trusted by Global Clients

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Commonwealth Charter Academy
Beam Suntory
KFC
Why Data Quality Is Important

Investing in Data Assessment Services

Fragmented and low-trust data erodes decision-making, leading to a high degree of dissatisfied customers, and revenue loss for organizations. Low powered analytics slows data modernization, reduces efficiency, and brings a lot of inconsistencies. TxMinds' data assessment services address these challenges to turn the execution roadmap into AI readiness.

Your Data Platform Might Be Lacking Due to

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Contradictory dashboards leading to unexecuted decision-making
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Zero observability across legacy pipelines is causing late incident detection
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Rising cost of cloud modernization while value delivery stalls
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No proper data governance and control policy in place
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AI initiatives are repeatedly failing due to gaps in data readiness
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No trusted data source across multiple systems

What TxMinds Bring to the Table

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Customized data architecture assessment plan based on enterprise-fit
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Shared ownership model and semantic layer to bridge the gap between data and business
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Data governance for advanced AI model readiness 
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Built-in privacy and auditability to handle compliance and data risk
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High degree of focus on data quality
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Align your data engineering plan with business objectives for measurable outcomes and value tracking
What We Assess

Delivering Full-Scope Data Assessment Services at Enterprise-Level

AI Model Drift

Data Inventory

CRM, POS, Web/App Analytics, Finance Systems, Data Lakes/Warehouses, and more.

Hidden Data

Quality Profiling

Data Completeness, Consistency, Timeliness, Duplication, and Validity.

Ensure Data Traceable

Architecture Review

Data Pipelines, ELT/ETL, APIs, Dependencies, and Batch vs Real-Time.

Automated Data

Governance & Ownership

RACI, Data Quality Standards, Stewardship Model, and Decision Rights.

AI Data Lakes

Data Security & Privacy

PII Locations, Access Controls (RBAC/ABAC), Encryption, Audits, and logging.

AI Data Lakes

KPIs

Semantic Layer Assessment, KPI Tree, and BI Tools Assessment.

AI Data Lakes

AI Readiness

Training Data Authenticity, Responsible AI Controls, and Data Lineage.

TxMinds End-to-End Data Assessment Approach

TxMinds Data Testing and QA Approach

Let's Engineer
What's Next

Engineer data-first solutions with speed and precision.

Deliver measurable value through data transformation.

Build trusted data platforms that scale with your business.

How Do We Assist

Our Data Assessment Consulting Services Portfolio

Data Maturity Assessment

Data Maturity Assessment

TxMinds delivers a gap-to-roadmap plan and quantitative maturity scoring across capability dimensions by:

  • Measuring maturity level
  • Identifying ROI gaps
  • Uplifting data roadmap
Cloud & Data Platform Strategy

Cloud & Data Platform Strategy

Implement reference architecture, workload placement plan, and performance model for data lakehouse/warehouse to:

  • Generate TCO model
  • Reduce data latency
  • Prevent vendor lock-in errors
BI & Analytics Strategy

BI & Analytics Strategy

Our experts deliver semantic layer designs, KPI governance models, and a reporting modernization blueprint to:

  • Define the metrics layer
  • Standardize data marts
  • Enable metric lineage traceability
Data Assessment for AI

Data Assessment for AI

We offer an AI readiness assessment and a governed data foundation plan for RAI controls to:

  • Enable production-grade RAG
  • Implement data access controls and audit logging
  • Hallucination checks, bias testing, and acceptance tests
Data Governance Framework

Data Governance Framework

TxMinds’ governance operation model and control mechanism allow you to:

  • Set data ownership by domain and implement RACI
  • Define retention policy enforcement
  • Introduce data contracts (SLA, schema, etc.)
Data Modeling

Data Modeling

With domain data models, canonical entities, data contracts, and interoperability standards, we help:

  • Improves downstream stability
  • Reduce data integration complexities
  • Align reusable domain models with BI
Data Quality and QA Assessment

Data Quality and QA Assessment

Our quality engineering assessment covers test strategy, automation, and defect prevention via:

  • Automated validation checks
  • Data test automation strategy
  • Defect logging and RCA workflow

Modernize Your Data Foundation Strategy with Expert Assessment Services

Get Consultation Now
What We Deliver

Achieve Measurable Results with Enterprise Data Assessment Services

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Safer GenAI Adoption

Governed datasets with pre-defined access controls, data lineage, and evaluation readiness.

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Optimized Data Reusability

Domain-aligned data products with detailed contracts and ownership.

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Accelerated Blueprinting

Faster solution delivery with target-state architecture and execution plan.

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Data-Driven Decision Making

Eliminate metric conflicts with proper KPI governance and semantic layer.

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Governed Foundations

Enforce data consistency with governed operating models, policies, and stewardship.

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Risk Management

Embedded data privacy, auditability, security, and compliance measures.

Core Technologies We Use

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What Separates Us

Data Assessment Services Built for Execution

  • 100+ experienced functional and certified technology experts.
  • Use of advanced AI-driven accelerators for faster and accurate strategy alignments.
  • Robust process to define Business aligned technology roadmaps.
  • Cloud and Technology agnostic approach.
  • Highly focused tech stack with proven industry partnership led consulting approach.
  • Certified and fully equipped data Labs across the globe to acquire right talent globally.
  • Understanding of business preferences and data across several Industries (banking, insurance, retail, healthcare, and more).
  • Modular Data Assessment Approach reduces commitment risk and delivers defined outputs.
  • Robust data governance frameworks.
What Separates TxMinds

Insights

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Podcasts

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FAQs

What does a data assessment include?

TxMinds’ customized data assessment approach includes:

  • Data inventory and ownership mapping
  • Data quality profiling
  • Architecture review
  • Governance and security assessment
  • KPI/metrics consistency check
  • AI readiness review
  • Cost and performance analysis
  • Prioritized roadmap with target-state architecture and execution plan
How to choose a data assessment consulting firm?

Selecting the right data assessment consulting firm involves checking various factors such as:

  • Clear deliverables
  • Proven assessment methods
  • Strong data governance and security expertise
  • Experience in your industry/domain
  • Ability to convert strategy into an execution backlog
  • Measurable outcomes proof
What industries can benefit from data assessment consulting?

Any sector with complex data and high decision risk benefits from our data assessment consulting, including

  • Banking/FinTech
  • Retail/eCommerce
  • Healthcare/Life Sciences
  • Insurance
  • Telecom
  • Manufacturing
  • Logistics
  • SaaS/ISVs
  • Energy
How does the TxMinds Data Assessment Service help my business?

We at TxMinds leverage AI-enabled data assessment practices to help you:

  • Identify data gaps, risks, and cost drivers
  • Standardize KPI definitions
  • Improve governance and security controls
  • Define target architecture
  • Deliver a prioritized roadmap and execution plan