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Data Warehousing Consulting

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
Trusted by Clients: Rated 4.9 Stars.
Free Consultation with Our Experts
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Empowered Clients
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Our Experience in Data Warehouse Consulting

  • 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
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Data warehouse technologies
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Data integration
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Data visualization
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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.
Automated Testing
Our Process to Execute Data Warehouse

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:

Pharma

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

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

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.
Retail

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
Travel

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

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
Banking

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
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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.

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  • Data Warehousing - Car Rental

They specialize in offering GPS-enabled vehicles to provide real-time tracking and monitoring capabilities to their customers.

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  • Cyber Security

Our client has created a Risk engine which will prepare a detailed report by analyzing different data received from different sources.

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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

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.
Latest Insights

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.