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Data Warehousing Consulting

  • 15+ years of experience in completing enterprise data warehouse projects.
  • Offering end-to-end Data warehousing consulting solutions in over 30+ industries.
  • Created scheduled, event-based, and real-time data pipelines for ETL Purposes
  • Assisted businesses in building data marts, warehouses, and lakes for all types of data
Trusted by Clients: Rated 4.9 Stars.
Free Consultation with Our Experts
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Empowered Clients
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Partner With Data Warehousing Consulting Service Provider

Aegis Softtech can help you design and deploy a reliable and highly secure data storage solution, including a data lake, data mart, & data warehouse, tailored as per your requirements. We utilize different approaches (Bill Inmon & Ralph Kimball) to execute different data warehouse projects to ensure timely delivery with quality and performance models for implementation.

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
Pharma

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

Accelerate Productivity With Data Warehousing Consulting Services

Data warehousing services supports innovative data management to utilize your enterprise data in the best way possible. Aegis Softtech begins the modernization process with analyzing the existing infrastructure and data sources and understanding the integration, accessibility, and migration requirements.

Based on the analysis, we conceptualize the data model based on business requirements, and perform the ETL process to seamlessly clean, transform, and load the data in a central repository. We can assist you in eliminating the burden of storing your data through our DWaaS services. You will pay only for the data you use and it comes with flexible, scalable, and reliable data storage.

Our Capabilities

  • 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 team has 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.

Client Testimonials

Why Choose Aegis for Developing Data Warehousing Solutions?

  • 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.

Data Warehousing Technologies

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 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 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.

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.