Data Warehousing Consulting
Build a robust, cloud-ready, reliable data warehouse with a trusted partner.
Are limited business insights and scaling challenges hindering your business growth? The right data warehouse, lets your company make quick and confident choices with accurate, timely data. With our comprehensive data warehouse consulting services, your business can scale and achieve high ROI.
Since 2010, Our data warehouse consultants have been helping businesses with expert guidance to optimize data architecture, implement robust governance, and streamline data pipelines that enable insights to drive success in the global markets. Let’s build your data warehouse today!
- 15+ years of experience in Hybrid cloud and on-prem Data warehousing.
- 90+ completed projects in DWH with a 100% success rate.
- Clients in over 30+ countries and global time zone compatibility.
- Access to 40+ Senior DW consultants and many under one roof.
- Expertise in delivering complex and large-scale DWH solutions.
Our Proven Experience in Data Warehouse Consulting
Over the last 15 years, the Aegis Softtech team has been helping various businesses design, deploy, and maintain scalable, secure, business-specific, and high-performance data warehouse solutions. Explore our proven experience!
| Well-versed in designing and delivering Data warehouse solutions. (On-premise, cloud, and hybrid) |
| We are recognized in the industry with certifications, awards, and strong partnerships. |
| Excellent in handling big data technologies Eg: Hadoop, Spark, and NoSQL databases. |
| Proficiency in ETL/ELT tools. For example: Informatica, Talend, Apache NiFi. |
| Skilled in ingesting data from various sources Eg: databases, APIs, and IoT. |
| Skilled in dimensional modeling Eg: star and snowflake schemas. |
| Expertise in integrating data lakes with EDWs. |
| Skilled in implementing strong data security practices that include encryption, access control, and data masking. |
| We ensure data quality and apply data cleansing techniques and integration best practices. |
| Expertise in cloud data warehouses Eg: Redshift, Synapse, BigQuery, and beyond. |
| We create Solutions that comply with industry-specific data privacy regulations. |
| Well-experienced with cloud platforms. Eg: AWS, Azure, GCP, etc. |
| Successfully delivered EDW projects on time and within budget. |
Our Data Warehouse Technology Expertise
We have access to the most developed tools and innovations to build a protected and superior data storage solution. As one of the most reliable data warehouse consulting service providers, here's our tech stack:
| Cloud data storage |           |
| Data warehouse technologies |           |
| Data integration |             |
| Data visualization |                  |
Our Data Warehouse Consulting Services
Aegis has partnered with several clients providing winning solutions for their business growth. We put forth our technical expertise and 15 years of experience to deliver enhanced business intelligence. Explore how we benefit your business!
DWH Strategy and Roadmap Development
We assess your data maturity and create a blueprint aligned with your goals, ensuring scalable and efficient data solutions for future growth.
- Data maturity assessments to understand systems.
- Tailored data architecture blueprint.
- Defined data governance policies.
- Platform selection based on scalability needs.
DWH Design and Architecture
We design efficient and flexible data warehouse architectures, optimizing data storage and access.
- Centralized or hybrid models based on needs
- Dimensional modeling for better reporting
- Optimized query partitioning for faster access
- Set up materialized views to speed up response times.
ETL & ELT Solutions and Data Integration
Our ETL or ELT solutions help integrate data smoothly, delivering timely and accurate insights for better decision-making.
- Design, implement, and Integration through ETL or ELT pipelines
- Real-time and batch processing.
- Develop Data transformation scripts.
- Automated data delivery for consistency.
Cloud Data Warehouse Migration
Aegis team makes the transition from on-premise to cloud-based solutions seamless, improving scalability and performance for your business.
- Cloud migration planning and execution
- Optimized cloud configurations for performance
- Data integrity assurance post-migration
Data Governance and Compliance Consulting
Aegis team implements data governance frameworks to maintain data quality, security, and compliance minimizing risks.
- Implements Data quality frameworks for accuracy.
- Deploys Data lineage and security implementation
- Role-based and attribute-based access control.
- Set up auditing and monitoring tools.
Business Intelligence and Reporting Solutions
Our BI solutions provide real-time 360-degree insights through interactive dashboards for your teams to make data-first decisions.
- Implementation of BI tools like Power BI and Tableau.
- Optimizes SQL queries.
- Automate reporting and data refresh schedules
- Self-service BI for non-technical users
Data Science Integration and Advanced Analytics
Our team integrates ML models and real-time analytics into your data warehouse to unlock the predictive power of your data warehouse.
- Integrates Machine learning models for data analysis
- Develop Predictive analytics for trend forecasting
- Perform big-data analytics
- Set up Real-time insights with streaming analytics
Performance Tuning and Query Optimization
We enhance query performance and optimize storage, reducing response times and operational costs.
- Improve Indexing and partitioning for speed
- Optimized query execution for faster performance
- Resource scaling for peak demand
Data Lake and Data Lakehouse Solutions
Our data lakes and lake houses provide flexible, scalable storage solutions, enabling advanced analytics on raw data.
- Implement Scalable data lakes with cloud platforms
- Build Data lake houses with transactional integrity
- Implement Real-time data ingestion and processing
Scalability and Future-Proofing Solutions
We design scalable solutions that grow with your business, ensuring efficient performance as data volumes increase.
- Design Horizontal and vertical scaling based on demand
- Implement Auto-scaling for fluctuating workloads
- Implement Cost-effective data archiving strategies.
Continuous Support and Maintenance
Aegis team provides reliable ongoing maintenance and monitoring to ensure your data warehouse operates smoothly for your business.
- Continuous system monitoring with cloud-native tools
- Set up Automated alerts for potential issues
- Regular optimizations for peak performance
Data Integration with External Applications
We integrate external data sources, enabling a unified view for more comprehensive and informed business decisions.
- Seamless integration with Salesforce, SAP, and more
- Implement Real-time data synchronization with external tools
- Holistic analysis through integrated data
Data Warehousing Consulting: Our Capabilities
Modern Data Architecture
Our consulting experts will devise a modern and future-proof architecture as per your data flows. A modern data architecture includes integrating a data lake, a data warehouse, and other purpose-built data stores with unified governance.
Data Mapping and Integration
Our data mapping services will help you understand your organization's processing environment. Accordingly, we will devise a strategy to integrate everything seamlessly. Robust and full-proof integration is essential to ensure a streamlined movement of data across different systems, including modern and legacy.
Data Cleansing
Data cleansing is another area where our consultants will guide you to utilize the best, most cost-effective, and time-efficient practices and procedures. We help remove all redundancies, correct your data, and standardize the data in the required format so that it can be used efficiently.
Data Management
We will first understand your business, data sources, and operations to get an overall idea of what needs to be done. After understanding your business needs, existing infrastructure, challenges, and budget, we will suggest the best and cost-efficient data management solution.
Data Governance
Data governance is of the utmost importance because of the stringent compliance regulations. With our strategy focused on iterative data governance, we assist companies in improving their operations and storage techniques to comply with data governance norms.
Analytics and BI Integration
A robust data warehousing solution can be used to its fullest potential if it is integrated with analytics and powerful business intelligence tools. Our data warehouse consulting team will assist you with finding the suitable analytics and BI tools. We suggest an integration strategy to change or transform your data into insights.
Data Solutions for Enterprise Data Warehousing
Data Lake Solutions
Aegis consultants guide you to design and implement scalable data lakes on cloud platforms and integrate them with existing data warehouses for hybrid architecture. And also,
- Ensure data governance, security, and access control.
- Efficient storage for diverse data types.
- Supports future analytics, ML, and AI models.
Data Lakehouse Solutions
We Implement data Lakehouse architectures using Delta Lake, Apache Hudi, or Iceberg and Integrate with data warehouses for structured and unstructured data. And also,
- Enable real-time analytics, versioning, and transaction management.
- Combines data lake scalability with data warehouse performance.
- Ideal for complex analytics with high data integrity.
Integration between Data Lake, Data Lakehouse, and Data Warehouse
The Aegis team helps companies design seamless data pipelines across systems and Implement unified governance and security. And also,
- Enable real-time or batch data processing.
- Leverage the strengths of each system for flexibility and scalability.
- Maintain a unified view across data types and use cases.
Advanced Analytics and AI on Data Lakes/Lakehouse
Our team helps your business deploy ML models and AI algorithms on lake/Lakehouse data.
- Use frameworks like TensorFlow, PyTorch, and AWS SageMaker. And also,
- Provide predictive analytics, anomaly detection, and pattern recognition.
- Perform advanced analytics directly on raw data.
- Drive innovation and insights faster with direct access to data.
Need analysis
We try to understand the business requirements and objectives by finding data sources, collecting data, and involving the stakeholders in this assessment and analysis process.
DWH Architecture Designing
Our expert engineers design the schema, ETL processes, and data storage solutions that align with the project goals.
Data integration and ETL process
Our data engineers retrieve data from various sources, transform them into required forms, and then load them into data warehouses.
Data quality check through data cleansing
Our team looks for any inconsistencies or errors in the data and corrects them to ensure the highest data quality standards.
Data marts creation
We build data marts by segmenting DWH ensuring they align with DWH architecture for targeted analysis and reporting of business data.
Implement Data security and compliance
We protect the Data through encryption, implementing role-based access, and ensuring the DWH aligns with standard regulations and standards.
Testing & QA
Aegis team validates the functionalities and performance of data ware through user acceptance tests and QA.
Deployment
Our engineers deploy the Datawarehouse once it wins through all the above stages successfully.
Post-deployment support
The Aegis team offers ongoing maintenance support through continuous monitoring of the system. We update it for scalability.
Post-deployment support
We track the performance and user feedback and we provide regular updates as necessary.
Data Warehouse Solutions: Industries We Serve
As a part of data warehousing consulting Services and development capabilities, we build a tailored strategy and deploy a personalized solution that simplifies your business process. Different industries deal with different data, and here are some types of data that can be stored in robust data warehousing solutions:
Pharmaceutical
- Clinical trial data, including patient demographics, treatment protocols, side effects, patient data, and efficacy data
- Regulatory data, like submission of drug applications, patient information, drug approval, regulatory guidance, and compliance reports
- Sales and marketing data, supply chain and manufacturing data, and real-world data (mostly includes claims data, patient registries, and others)
Healthcare
- Electronic Health Records (EHR), like patient's medical history, diagnoses, medications, treatment plans, and lab results
- Medical imaging data, like X-rays, MRIs, CT Scans, and clinical trial and genomic data
- Billing and claim settlement data and HR data, like employee scheduling, performance, and compensation
Telecom
- Network-related data, like capacity utilization, maintenance activities, outages, and latency
- Customer feedback, requests, complaints, billing data, and preferences
- Real-time and historical data and data associated with compliance regulations.
eCommerce
- Inventory management data, like stock levels, selling locations, and storage across different stores
- Consumer data, like their preferences, user order history, billing and payment data, and demographics
- Payment transaction data, order fulfillment data, and marketing campaigns
Logistics
- Data related to cargo condition and financial management data, like cash flow, revenue, profit, and payroll data
- Driver behavior data, personnel schedules, weather conditions, and traffic data
- Telematics data, inventory levels and demand data, and customer feedback data
Insurance
- Data associated with insurance plans and products
- Claim management data, customer-related data, and financial management data
- Data from internal systems of credit rating bureaus, data from IoT devices and sensors, and third-party telematics providers
Investments & Banking
- Data associated with financial transactions, customer personal data, borrower's credit scores and financial statements
- Data from portfolio asset allocation, billing, payouts, and taxation data
- Capital market data, data related to investment deals, selling and purchasing data
Media & Entertainment
- Audience demographics data, data related to audience engagement, and audience sentiments
- Financial management data, like revenue attribution and production budgeting
- Content consumption data, advertising, and monetization data
Success Stories: Our Case Studies
Call Center
Our client is leading call center service provider in USA. Our client had multiple call center sites with hundreds of support team handling support for many bit MNCs in USA.
See More
Data Warehousing - Car Rental
They specialize in offering GPS-enabled vehicles to provide real-time tracking and monitoring capabilities to their customers.
See More
Cyber Security
Our client has created a Risk engine which will prepare a detailed report by analyzing different data received from different sources.
See MoreTrust Aegis for Data Warehouse Consulting: Here’s Why.
Aegis's trusted team comprises Data Warehouse Architects, Data engineers, DevOps, data scientists, Leads, data Analysts, QA, and DBA.
- We have the necessary expertise to efficiently handle all sorts of complex problems and challenges while implementing a data warehousing solution.
- We have a vetted pool of the top 3% of Indian talent excelling in building data warehouse solutions.
- We have gained 15+ years of experience in data warehousing and data engineering Domain.
- We have catered robust data warehousing solutions to clients from different industries.
- Our team has proven experience in all advanced platforms, such as Azure, AWS, Snowflake, Amazon Redshift, Oracle, SQL Server, and Pentaho DI.
- We provide end-to-end support post-deployment to resolve your queries anytime.
- All our solutions are designed to keep your data at maximum security and comply with stringent data governance policies.
Data Challenges Solved by Our Expert Data Warehouse Consultants
| Data Challenge | How does Aegis Help? | Recommended Service | Result for Business |
| Data Silos | We integrate data from multiple systems into a centralized warehouse. | Data Warehouse Design & Integration | Improved data access and collaboration. |
| Inaccurate or Inconsistent Data | ETL processes clean, standardize, and ensure data consistency. | ETL and Data Cleansing Services | Reliable, accurate reports for better decision-making. |
| Slow Decision-Making | Enables real-time data processing for fast access to insights. | Real-Time Data Processing Solutions | Faster, informed decisions that enhance business agility. |
| Limited Reporting and Analytics | We integrate advanced analytics tools for detailed reporting. | Business Intelligence & Analytics Integration | Actionable insights for strategic growth. |
| Inability to Scale | Implements Scalable cloud-based data warehouses to handle growing data needs. | Cloud Data Warehouse Solutions | Seamless growth without performance issues. |
| Security and Compliance Risks | We implement robust security and ensure compliance with regulations like GDPR. | Data Security & Compliance Solutions | Enhanced protection and compliance with data regulations. |
| High Operational Costs | Centralizes data storage to reduce maintenance and IT overhead. | Cost Optimization with Data Warehouse | Reduced operational costs and improved efficiency. |
| Poor Data Governance | We establish governance practices for data quality and accountability. | Data Governance and Quality Control | Improved data quality and accountability. |
| Lack of Real-Time Data Access | Integrates real-time for timely decision-making. | Real-Time Data Integration | Quick access to insights, leads to faster decisions. |
| Difficulties with Data Integration | Simplifies integration across data sources for unified analysis. | Data Integration Solutions | Unified data for accurate and efficient analysis. |
Client Testimonials
Aegis transformed our messy data into a goldmine of insights. Their data warehouse solution made it easy for our team to access and analyze information, boosting our decision-making process.
We were drowning in data before Aegis stepped in. Their data warehousing service streamlined everything, saving us countless hours and helping us spot trends we never knew existed.
Aegis's data warehouse solution is a game-changer. It's user-friendly, and scalable, and has significantly improved our reporting accuracy. Our team now has advanced and real-time access to critical business metrics.
Our Pricing Models
Consulting and Implementation Services
Billed by the hour at $45 or monthly.
Includes system design, implementation, and migration.
Optimization and alignment with business needs.
Cost varies based on project size and scope.
Additional fees for migrating from old systems.
Infrastructure and Cloud Services
On-premises costs Include servers, storage, and data center expenses.
Cloud Costs are Pay-as-you-go based on storage and compute power.
Initial Investment is higher for on-prem and lower for cloud.
Cloud solutions offer more flexibility and growth.
Cloud has regular monthly costs based on usage.
Data Storage and Compute Costs
Storage price is based on GB/month for different storage tiers.
Compute Costs are billed based on compute power and workload.
Cloud Storage Tiers are Hot (frequent), cold (infrequent), and archival (rare).
Costs scale with growing data volumes.
Pay only for what you use.
Licensing and Software Costs
Licenses are based on storage and computing.
Commercial Licenses like Snowflake, Microsoft SQL, and Oracle have fees.
No upfront license, but requires customization.
Subscriptions or per-user fees for Tableau, and Power BI.
Flexible pricing based on actual usage.
Our Engagement Models
Monthly Fix Pricing For Dedicated Consultants
Choose this model if you want to hire a consulting team at fixed monthly pricing. The team will work solely on your project and will be an extended part of your business.
Hourly Pricing For Consulting
More flexibility, with billing based on the working hours of our consultants. The costs can add up if the project takes longer than expected. You can consider it if you have a project with an unclear scope or changing requirements.
Time & Material
Our work is usually priced based on how long the project will take and what resources are needed. Adding or removing the staff based on the project scale is in your authority.
Frequently Asked Questions
Yes, every business aiming to thrive in the competitive market and stand to customer expectations require a data warehouse strategy. Some reasons why it becomes significant:
- Integrates multiple data sources into one
- Quickly access critical data from one single platform.
- Analyze and find industry trends from historical data to predict what the future holds.
It should be time-variant, integrated, subject-oriented, and non-volatile. The characteristics differentiate the data warehouse from any other databases and assist in robust analysis.
Most businesses have witnessed over 20% cost-savings over on-premise solutions, and some have even noticed cost benefits up to 70% - 80%. You can hire data warehouse consulting services to find which solutions fit the best.
There are mainly five types of data warehouses and each of them can utilized for different purpose. For instance:
- Enterprise data warehouse facilitates decision-making throughout the enterprise.
- Operational data warehouse refreshes in real time.
- Data mart is a subset of a data warehouse for storing a particular department's data.
- Cloud data warehouse is hosted on SaaS in cloud computing for scalability and flexibility.
- Big data warehouse is used for processing large amounts of different types of data.
Firms and corporations can pool, manage, and control big data at the workstations very conveniently with cloud data warehousing. But with such convenience comes the owner to put up robust data security and comply with the data through any regulatory requirements.
When an organization has a greater amount of data stored on the cloud, it will be more successful in attracting new clients, developing development plans, and strengthening its position in the market position. To store data, other types of storage are used. Today, data warehousing consulting services are growing with the providers, and data warehouse vendors have introduced cloud data platforms to the market.