Consolidating your scattered data into one central hub.
Get expert and trusted guidance from our data warehouse consultants with 15 years of experience to design and deploy reliable and highly secure data warehouse solutions to optimize DWH performance for accurate, data-driven business insights.
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
Since 2009, maintaining a trusted legacy in Data warehousing consulting.
Top 3% Indian data engineers with proven excellence.
Expert consultation service for businesses to implement Data Warehouse for all types of data.
Proven experience in both traditional cloud Data Warehouse and Microsoft, AWS, IBM, and Oracle.
Risk-free, On-time deliveries of expertly managed projects.
Expertise in delivering complex and large-scale solutions in 30+ industries. Eg: Real-time data warehousing solutions.
ISO / IEC 27001 certified company with strict NDA in place
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 for your business growth.
If you have your data warehouse, we can help you modernize and optimize it by employing the latest technologies.
Assessment of your existing infrastructure.
Identification of opportunities for improvement.
Implementation of upgrades to enhance performance, scalability, and data quality.
Our Data Warehousing Consulting Services team provides both advisory support & full project management.
We start by thoroughly reviewing your business objectives, data sources, and analytics requirements.
Then, we build a comprehensive data strategy to ensure maximum value from your data assets.
Every business is unique, and off-the-shelf solutions might not meet some needs.
That's why we offer a custom cloud data warehousing services strategy.
Design and implement scalable and future-proof architectures that can adapt to your evolving business needs.
We have replicated previously built multi-tenant data warehouses for product teams for various clients with minimal customizations.
We ensure efficient data integration for cloud Data Warehouse solutions.
Our expertise includes integrating diverse data formats (unstructured, semi-structured, and structured) and eliminating silos.
Our data warehouse service providers perform data cleansing, standardization, modeling, and solution architecture.
We utilize industry-leading tools, maintaining data accuracy and consistency to build a data warehouse that integrates perfectly with other applications.
Our data warehousing services offer end-to-end services, from design to maintenance; we are with you.
Our team employs performance-tuning techniques such as query optimization, indexing, and data partitioning.
It helps maximize the speed and efficiency of your data warehouse operations.
Moreover, robust metadata management enables the implementation of advanced features like Rollback, Auditing, and Event-Based Loading.
We establish robust data governance frameworks as per your organizational model, which include data policies, standards, and procedures.
Establish strong data governance frameworks, including data standards, policies, and procedures, as per your organizational model.
Ensure proper data classification and authorized access.
Extensive implementation of metadata management, which includes technical, business, and operational metadata
Our full-scale data warehousing Consulting services ensure optimal performance and seamless management.
We implement efficient ETL, develop scalable data models, integrate with systems, and execute tailored solutions.
We achieve high-quality data by optimizing data storage and processing and establishing secure data governance practices.
We translate complex data into meaningful and actionable insights through seamless integration of data warehouse to data visualization tools.
Enable clients to explore data, discover patterns, and make informed decisions.
Make instinctive and interactive dashboards and reports.
Implement business intelligence (BI) and analytics solutions on top of data warehouses to monitor diverse KPIs, dashboards, Ad Hoc Analysis, and collaboration BI for business users.
Our Data Warehousing Consulting India team assists you in maximizing the Extract, Transform, and Load (ETL) processes that are necessary to transform raw data insights into meaningful insights.
In-depth information on ETL tools and methods.
Design and implement proficient ETL processes to ensure the idealness and accuracy of data in your warehouse.
Execution of ELT, ETL, and data ingestion pipelines utilizing various tools.
We empower businesses with predictive analytics and customized machine-learning models.
These advanced analytics help businesses gain predictive insights and identify trends in enterprise data.
Our expert team can develop machine learning models tailored to your specific business needs.
These will enable you to make data-driven predictions and optimize decision-making processes.
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.
Optimize Data with our Data Warehousing Consulting Services
Expertise Of our Data Warehousing Consultants to scale your Data Warehouse
Aegis Data Warehouse Consultants recommends innovative strategies to optimize the data warehouse for utilizing your enterprise data in the best way possible for business intelligence and analytic purposes. Leverage our data warehouse consulting expertise to scale your success.
We can assist you with master data management, data cleaning and standardization, data normalization, and denormalized data models for business intelligence and analytic purposes.
Expertise in data modeling and solution architecture of data warehouse development using RBDMS technologies, like Oracle, SQL Server, and MySQL.
Our team has the skills to build a data warehouse using a NoSQL architecture, including Hive, MongoDB, Cassandra, and Hbase.
We have implemented ETL, ELT, and data pipelines using multiple tools, like Informatica, Datastage, Pentaho DI, and Talend.
Our Data Warehouse consultants have experience building real and near-real-time data ingestion pipelines in Spark, Scoop, Kafka, and Kinesis.
Experience in building MPP data warehouse using Vertica, Snowflake, Google BigQuery, Redshift, Azure & Aws.
We have built on-premise, multi-cloud, and hybrid data warehouse solutions.
Our Process to Execute Data Warehouse
01
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.
02
DWH Architecture Designing
Our expert engineers design the schema, ETL processes, and data storage solutions that align with the project goals.
03
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.
04
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.
05
Data marts creation
We build data marts by segmenting DWH ensuring they align with DWH architecture for targeted analysis and reporting of business data.
06
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.
07
Testing & QA
Aegis team validates the functionalities and performance of data ware through user acceptance tests and QA.
08
Deployment
Our engineers deploy the Datawarehouse once it wins through all the above stages successfully.
09
Post-deployment support
The Aegis team offers ongoing maintenance support through continuous monitoring of the system. We update it for scalability.
10
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.
Trust 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 14+ 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.
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.
~ Michael Brown
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.
~ Sarah Davis
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.
~ James Wilson
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.
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.