Data Warehousing

Strengthen your business with actionable insights and informed decision-making.

Data Warehousing

Without a centralized solution, organizations can get lost in a sea of data, struggling to navigate the complexities. Siloed information scattered across various systems, difficulty in extracting meaningful insights, and limited access to reliable historical data hinder effective decision-making. Data warehousing empowers businesses by solving these problems.

It offers a unified view of data, breaking down silos and fostering collaboration across departments. Imagine seamlessly accessing data from different sources, effortlessly uncovering correlations and patterns that were previously obscured. You can now identify trends and make informed predictions for the future.

But data warehousing extends beyond individual decisions; it revolutionizes business processes. With it, you can easily streamline operations by leveraging the centralized repository to optimize workflows, identify bottlenecks, and enhance efficiency. From supply chain management to customer relationship strategies, data warehousing injects intelligence into every facet of the business.

We can help you if you want...

  • A centralized location to share all of your company's data
  • Implementation of a standardized process for data entry and maintenance
  • Analysis of historical data to identify trends and patterns over time
  • Integration of data from multiple sources
  • To protect your data against unauthorized access and potential security breach

Technologies

We Believe in…

Scalability

to increase storage capacity and processing power as needed without compromising performance

Data Security

to protect your confidential data from unauthorized access.

Performance Optimization

to ensure fast and efficient data retrieval and analysis.

Personalization

to design custom solutions that meet your requirements.

Data Integration

to provide a comprehensive view of your data

Continuous learning

to stay at the forefront of technological innovation and industry best practices.

40+

Clients

60+

Projects Completed

70+

Employees

95%

Client Retention Rate

Why Choose Us?

We have extensive expertise and experience in data warehousing, so we are equipped with enough field intelligence to get your job done right.

Every business has distinct data warehousing needs. So our service is tailored to your specific requirements so that you get exactly what you need without paying for unnecessary services or features.

The customer is the king, and we work closely with them at each stage so that their requirements are fulfilled and that they are satisfied with the end result we deliver.

By using rigorous quality assurance procedures, we ensure that your data is accurate and secure. For that, we are constantly improving ourselves by staying up-to-date with the best industry practices.

Data warehousing should be affordable for businesses of every size. So we offer cost-effective solutions without compromising on performance or quality.

Our many successful data warehousing projects are a testament to our commitment and expertise to quality. So you can always trust us to deliver the results you need on time and on budget.

Our Awesome Projects

What Our Clients Say About us

Customer satisfaction is our major goal. See what our clients are saying about our services.

“Augmented has the best resources to take on any job. They are professional, deliver the projects on time and always meet their commitments. We have engaged in a long term business relationship.”

Ruchir Shukla

Head of Business Development

“We thank Augmented for the wonderful job in helping us develop our program. Everyone was professional, excellent and hard working. Thanks to them, we were able to achieve our goal on time.”

Priyanka Rawal

Co-Founder

“Love to work with Augmented team with a fair pricing and very valuable developers for complex use case. Actually we worked on a really big module based application and every work is awesome done.”

Urvish Patel

IT Director Head

FAQss

Data warehousing is the process of collecting, storing, and managing large volumes of data from various sources in a central repository for business intelligence and decision-making purposes.

Data warehousing provides benefits such as:
Establishing a reliable, centralized repository for historical data
Enhancing business processes and decision-making with actionable insights
Maximizing return on investment
Enhancing data quality

The key components of data warehousing are data sources, data integration, data storage, and data access.

ETL stands for Extract, Transform, and Load. It is a process of extracting data from various sources, transforming it into a standard format, and loading it into a data warehouse.

There are three different types of data warehousing
Enterprise Data Warehouse (EDW): Serves as a central database for decision-support services across the entire enterprise.
Operational Data Store (ODS): Refreshes data in real-time to meet immediate operational needs.
Data Mart: A focused subset of a data warehouse catering to specific departmental or business function requirements.

A database is used for transactional processing and stores data in real-time, while a data warehouse is used for analytical processing and stores historical data.

Data warehousing helps with business intelligence by providing a centralized repository for data. This enables businesses to analyze and gain insights into their operations and make informed decisions.

To choose the right data warehousing solution for your business, you should consider factors such as your business needs, data volume and complexity, scalability, cost, and vendor reputation and support. It is recommended to consult with a professional data warehousing provider to help with the selection process.

The cost of data migration depends on a variety of factors, including maintenance, training, and data warehouse support. Consult us for a detailed cost breakdown today!

The five key components of a data warehouse are ETL, Metadata, SQL Query Processing, Data layer and governance security.