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Data Governance Services & Solutions

Ensure data consistency, transparency, quality, and compliance with our automated data governance services.

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Secure, Manage, and Optimize
Your Data Seamlessly

Intelliswift provides comprehensive data governance services to ensure consistent, accurate, high-quality, and accessible data throughout its lifecycle. Our solutions include robust data handling frameworks, elevated data quality, and regulatory compliance navigation. By enhancing data accessibility and reliability, we empower your organization to discover the true potential of data, driving informed decision-making and business innovation while safeguarding data integrity.

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Solutions

Intelliswift's data governance services assist organizations in effectively managing their data, providing data classification based on
sensitivity and insights into data storage locations. Our services include data scans to identify data origins, storage locations,
access restrictions, security provisions, and data quality issues. We also offer guidance for developing enterprise data
governance and management programs to address gaps and safeguard against evolving data security threats
while ensuring the highest data quality standards.

    Standardize and integrate data from diverse sources into your enterprise platform with tailored ingestion design patterns and source system agreements to maintain data quality from the outset.

    Ensure data integrity, quality, and compliance with transparent tracking from source to destination using our data discovery and lineage solutions.

    Search, discover, and understand your data assets with our comprehensive metadata storage and centralized data cataloging solutions, ensuring data quality and usability.

    Achieve a shared understanding and improved data quality with standardized vocabulary through our comprehensive business glossary and rules services.

    Establish data reliability and accuracy by identifying inconsistencies and anomalies with our data profiling service. Our solutions enhance data quality by systematically assessing and improving data standards across your organization.

    Protect sensitive information and ensure regulatory compliance with our privacy solutions for data pseudonymization and anonymization while maintaining data quality and integrity.

    Ensure secure, compliant, high-quality data management from acquisition to disposal with our comprehensive lifecycle frameworks and solutions, adhering to GDPR and CCPA regulations.

    Optimize consistency, reliability, and quality across references and manage master data with our robust classification, categorization, and analysis solutions.

    Organize and manage multi-dimensional relationships within your data lake with our entity relationship management service, supporting complex analysis and reporting while protecting data quality.

Data Governance Framework

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Data Architecture

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Data Modeling & Design

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Data Storage & Operations

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Data Security

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Data Integration & Interoperability

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Document & Content Management

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Reference & Master Data Management

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Data Warehousing & Business Intelligence

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Metadata

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Data Quality

Our Approach

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Strategy

Develop, communicate, and oversee the execution of both data strategy and data governance strategy, focusing on data quality enhancement.

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Policy

Establish and enforce policies governing data and metadata management, access, usage, security, and quality.

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Standards and quality

Define and apply standards for data quality and data architecture, ensuring the highest data accuracy and reliability levels.

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Oversight

Provide active observation, audit, and intervention in critical areas such as quality assurance, policy adherence, and data management (commonly known as stewardship).

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Compliance

Ensure the organization adheres to data-related regulatory requirements, maintaining data quality and integrity.

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Issue management

Identify, define, escalate, and resolve issues concerning data security, access, quality, regulatory compliance, ownership, policy adherence, standards, terminology, or governance procedures.

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Data management projects

Sponsor initiatives aimed at enhancing data management practices and improving data quality.

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Data asset valuation

Establish standards and processes to consistently determine the business value of data assets, emphasizing data quality.

Data Quality

Our Data Quality Services adopt a holistic strategy that encompasses data profiling, cleansing, validation, and enrichment processes.
Leveraging cutting-edge tools and methodologies, our skilled team effectively identifies and addresses data quality issues,
thereby enhancing data integrity and usability. Whether you need us at the beginning, middle, or end
of your data quality journey, we are here to assist.

Key Activities

  • Define Quality Rules: Establish business-specific data quality rules.
  • Improve Quality: Design and implement methods to cleanse and enhance data.
  • Monitor Results: Track improvements against targets.

Data Quality Assessment Framework

  • Source System Profiling: Analyze data structure, content, and quality to gain insights into completeness, accuracy, and consistency.
  • Data Quality Assessment & Criteria: Identify trends, anomalies, and patterns in sample data while assessing dimensions like accuracy, completeness, and consistency.
  • Data Quality Rules Validation: Validate data formats and ranges and ensure referential integrity and compliance with business rules/regulations.
  • Report Results & Recommendations: Communicate assessment findings and propose actionable recommendations for improvement.

Data Quality Framework

iDeeQ is Intelliswift's proactive Data Quality framework powered by machine learning. It offers a comprehensive set of features to ensure data excellence:

  • Data Quality: Continuous monitoring and improvement of data integrity.
  • Data Quality Management Dashboard: Provides data quality scorecard and analytics for actionable insights.
  • Data Profiling: Analyzes historic and delta data to track changes over time.
  • Manual & Adaptive Business Rules: Implements static and dynamic rules to ensure compliance.
  • Data Drift Detection: Utilizes machine learning and statistical techniques to detect shifts in data patterns.
  • Deduplication: Ensures data consistency and standardization by removing duplicates.
  • Data Shaping: Detects and corrects corrupt or inaccurate records.
  • ML-based Data Warehouse Audit: Utilizes machine learning to audit data warehouses.
  • Metrics and Confidence Level Dashboards: Provides metrics and confidence levels for data quality assessment.
  • Remediate Using Workflows: Implements workflows for cleaning and transforming data.

iDeeQ

Key Implementations

  • Transitioned subcontractor and spend data from SAP BW to Snowflake DW on Azure.
  • Connected clearing houses and Subcontractor Portal via REST APIs.
  • Conducted thorough checks in the Snowflake Stage environment.
  • Developed Power BI dashboards for spend analysis, annual reports, and goals tracking.
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  • Designed and implemented data integration and master data management with Informatica Cloud.
  • Performed transformation, cleaning, standardization, and business rule validation in the staging layer.
  • Implemented rigorous data quality checks.
  • Defined precise matching rules for accurate MDM creation.
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  • Used machine learning models for data integration.
  • Established golden source, data lineage, labeling, and annotation processes.
  • Forecasted out-of-stock situations and automated ordering.
  • Analyzed demand trends for best-selling products.
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Why Intelliswift?

Why Intelliswift

Become data-driven leaders by leveraging our expertise in data governance to control your data strategy.

Why Intelliswift

Get an unbiased perspective with our independent assessment to align your data practices with business goals.

Why Intelliswift

Embrace cutting-edge technology with our tools to streamline data management, enhance security, and gain insights.

Why Intelliswift

Scale your data governance with support from our specialists, extending your team even with limited resources.

Why Intelliswift

Optimize costs and drive ROI using our solutions to minimize data management costs and maximize data asset returns.

Insights

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Blog

Building a Data Lineage Framework: Tips and Tools for Success

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Blog

5 Reasons Why Data Governance is Critical for Data Democratization

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Data Lineage in Cloud Environments: Challenges and Solutions

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Contact us to discover how our data governance services and solutions can enhance your data management practices.

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