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Enterprise Data Warehouse

Your Performance Management Core

Store, transform, and extract your data from a single interface across all sources.

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what we do

Enterprise Data Warehouse Service Offerings

Experience a complete performance management system with our robust enterprise data warehouse solutions

Data Integration

Utilize ETL processes to extract, transform, and load data from various sources, including transactional systems, external databases, and other data repositories, to enrich the data and provide a more comprehensive picture for analysis and decision-making.

Data Storage

Provides a centralized and scalable storage infrastructure for storing structured, semi-structured, and unstructured data. It ensures data integrity, consistency, and security while providing efficient storage mechanisms to handle data varieties and volumes.

Data Modeling

Assists in designing and implementing data models based on Data Vault, Star or Snowflakes Schema or that support the organization’s reporting and analytics requirements. This involves creating data schemas and dimensional models and defining relationships between data entities for optimal query performance and analysis.

Data Quality and Governance

Apply cleansing, validation, and enrichment processes to eliminate inconsistencies, inaccuracies, and duplicate records, as well as data governance practices to establish standards, policies, and management controls.

Querying and Analysis

Enable organizations to run SQL queries, generate reports, create dashboards, and explore data using BI tools or data visualization platforms to perform complex queries, ad-hoc analysis, and reporting on their EDW data.

Data Security and Access Control

Security measures implementation to protect sensitive data from unauthorized access at different levels. These measures include role-based access controls, data masking, and encryption techniques.

Scalability and Performance

Design an Enterprise Data Warehouse (EDW) to handle large-scale data volumes and accommodate growth over time. Employ optimization techniques like data partitioning, indexing, and parallel processing to ensure fast and efficient data retrieval and analysis.

Metadata Management

Provide context for data discovery, data lineage, and impact analysis by capturing and managing metadata, which includes information about the structure, attributes, and relationships between the data.

Data Lifecycle Management

Manage the data lifecycle, including archiving, purging, and retention policies to ensure long-term data preservation, data relevancy, and up-to-date data alignment with business requirements.

Data Migration and Upgrades

Migrate the data from legacy systems or previous versions of the data warehouse to new platforms or upgraded versions. It includes data mapping, data validation, and ensuring a smooth transition without data loss or disruption.

Ready to Transform Your Data Infrastructure?

Gain a competitive edge and unleash the full potential of your data with our advanced enterprise data warehouse solutions.

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service Platforms

Streamline Your EDW Deployment with Cutting-Edge Platforms

Choose an EDW environment type that best suits your needs

tool and technologies

Set of Technologies We Use

Utilizing 40+ most robust resources to provide you with the best possible results.

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Why brickclay

Our Enterprise Data Warehouse Benefits

Empowering collaboration, streamlining operations, and unleashing insights

Enhanced Collaboration and Productivity

Enable strong collaboration across departments by providing access to a single, reliable source of structured data, empowering business users to make informed decisions efficiently.

Time Savings

Automate various data management procedures, such as data collection, transformation, cleansing, structuring, and modeling, reducing the workload for IT staff and data analysts.

Comprehensive Business Insights

Provide a 360° view of your business by consolidating data from key business applications over time, enabling performance analysis and decision-making based on historical trends.

Improved Data Quality

Ensure data consistency, accuracy, completeness, and auditability by adopting a holistic enterprise data management approach, leading to improved overall data quality.

Enhanced Collaboration and Productivity

Enable strong collaboration across departments by providing access to a single, reliable source of structured data, empowering business users to make informed decisions efficiently.

Time Savings

Automate various data management procedures, such as data collection, transformation, cleansing, structuring, and modeling, reducing the workload for IT staff and data analysts.

Comprehensive Business Insights

Provide a 360° view of your business by consolidating data from key business applications over time, enabling performance analysis and decision-making based on historical trends.

Improved Data Quality

Ensure data consistency, accuracy, completeness, and auditability by adopting a holistic enterprise data management approach, leading to improved overall data quality.

Partner

Your Trusted Microsoft Gold Partner

We have achieved the highest level of recognition from Microsoft validating our technical expertise, proficiency, and commitment to delivering innovative solutions within the technical expertise, proficiency, and commitment to delivering innovative solutions within the Microsoft ecosystem.

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our Process

How It All Works

From initial assessment to implementation and ongoing support, we deliver a seamless and streamlined process, ensuring our clients achieve data-driven success with clarity and confidence.

Business and Data Analysis

Collaborate closely with your organization to understand your data environment and business objectives, identifying data sources, types, and quality requirements to lay the foundation for a successful EDW project.

Data Assessment and Preparation

Conduct a comprehensive data assessment, ensuring accuracy, completeness, and consistency. Our team cleanses, transforms, and organizes the data using industry-leading techniques, optimizing it for analysis within the EDW environment.

Architecture Design

Based on analysis insights, we design a robust and scalable architecture for your business data warehouse. Considering data modeling, storage, performance, security, and compliance, we align the architecture with your specific requirements and future growth.

Implementation and Integration

Build and integrate the data warehouse solution, employing industry best practices and cutting-edge technologies. Our skilled team ensures seamless integration with your existing systems and data sources.

Testing and Validation

Thoroughly test and validate the implemented data warehouse solution, ensuring data accuracy and quality. Our comprehensive testing verifies data integrity, query performance, and overall system functionality, providing confidence in your EDW’s reliability.

Deployment and Training

After thorough testing and validation, we deploy the EDW system with minimal disruption to your operations. Our experts provide comprehensive training, enabling your users to leverage the power of the data warehouse analytics and its insights effectively.

Ongoing Support and Optimization

Offer ongoing support and optimization services, monitor your EDW’s performance, make necessary enhancements, and resolve issues proactively. We keep the system up to date and provide regular insights to maximize the value derived from your data.

general queries

Frequently Asked Questions

An EDW database distinguishes itself from a traditional database through its comprehensive integration of disparate data sources, advanced data modeling techniques, and optimized performance capabilities.

An Enterprise Data Warehouse (EDW) can integrate various data sources, including relational databases, cloud storage solutions, on-premises systems, web services, spreadsheets, and structured/unstructured data formats, to provide comprehensive and unified insights for informed decision-making.

Our comprehensive security measures include data backup procedures, regular audits, robust encryption protocols and access controls to ensure the utmost protection of data stored in our enterprise data warehouse software.

Yes, EDW software is designed to handle both structured and unstructured data, providing a comprehensive solution for organizing, storing, and analyzing diverse data types within a single integrated platform.

The timeline for implementing an enterprise data warehouse varies depending on the scope, complexity, and data maturity of the organization, typically ranging from several months to a year, as it involves processes such as data modeling, extraction, transformation, loading, and testing in block building fashion.