How data warehouse as a service is transforming the business landscape

The current data-driven business world is very competitive, and to survive and grow, companies must have access to the apt data integration platform. In every company, humongous amounts of data are generated on a daily basis, and companies that do not use such information fail to survive in the market.

Manual processes are prone to cumbersome errors, and there also might be a big loss while carrying out the data. Moreover, they become time-taking and with an increase in complexity, it is becoming very complex to depend on manual methods in the present scenario. Every minor change that organizations want to witness for their data will take time to reflect, and the whole data analytics process becomes very cumbersome.

Owing to these challenges, organizations find investing in data warehousing far better than the manual processes and maintaining a regular database. After all, if organizations must stay competitive in today’s world, they must work towards a bright and intelligent strategy by leveraging advanced technologies to keep pace in the hyper-competitive market. So, a data warehouse (DW) is one of the most essential elements that every organization must-have in the current era. Let’s delve in to know more about data warehouses and it works as a service model.

What is a Data Warehouse?

Frankly speaking, data warehouse (DW) is a data management system designed to enable and support BI activities, mainly analytics. Data warehouses are solely intended to perform queries and analysis and often contain humongous amounts of historical data. The data within a Data Warehouse is typically derived from a wide range of sources such as application log files and transaction applications.

A DW centralizes and consolidates huge amounts of data from multiple sources. Its analytical abilities give companies the ability to derive valuable business insights from their data to improve and enhance decision-making. Data warehousing provides the Business with Intelligence users to have structured data to form valuable insights. Additionally, it builds a historical record that can be invaluable to data scientists and business analysts. Because of these capabilities, a data warehouse can be considered an organization’s “single source of truth.”

Benefits of Providing Data Warehouse to An Organization

With the data continuously expanding globally and organizations establishing their presence on numerous platforms, data warehousing becomes even more crucial. Let’s check it out.

• Having Data warehousing (DW) at your side, analytics & Optimization, various discrepancies can be addressed. These issues can be determined before the loading of info, making the reporting process much more easy.
• Having a Data Warehouse Solutions in place means having the data under the control of the organization.
• Data Warehousing optimization is dominant in augmenting the value of customer relationship management systems and operational business applications and .

Defining Data Warehouse as A Service (Dwaas)?

Data Warehouse as a service (DWaaS) is an attempt to allow businesses to focus more on what they do best and not let problems around storage and resources get in their way.

The ‘As-a-Service’ model puts more focus on offering various services to clients via the Internet, for instance, Dropbox. Along with these services, clients are offered with the advantages of scalability and low cost. This model includes PaaS, SaaS, and IaaS and has become a means to enable technologies via analytics, digitalization, and automation. It is the newest addition of data warehouse to the ‘as-a-service model.

Here are Some Business Benefits of DWaaS

#1. Improved Speed and Performance

With the increasing data from various resources needs an effective data management solution. This transformation has given rise to DWaaS that offers cloud data warehouse service to enhance and improve the overall efficiency, performance, and speed of data analysis and processing within an organization. Typically, DWs present on the cloud emphasizes numerous servers that speed up the processing. Additionally, it can seamlessly integrate with new data sources.

#2. Huge Data Storage Capacity

Previously, IT teams were purchasing massive storage that cost them a lot. Simultaneously, the cloud data warehouse offers them to decide the storage limit according to their present needs. However, organizations can quickly scale up anytime with an add-on cost which is quite inexpensive. What’s more? It also offers flexibility and agility that allows firms to deploy a change swiftly without affecting the organization’s architecture or budget.

#3. Shared expense of Ownership

Unlike the huge cost involved in the on-premise Data Warehouses, cloud data warehouses are inexpensive, which adds value to its popularity. It doesn’t need maintenance, expensive hardware, or continuous updates as everything is taken care of by the service provider. The management can purchase the necessary amount of compute power and storage, which can be expanded as per the requirements. Besides, DWaaS does not demand server rooms or networking.

Some Examples of Data Warehousing Across sectors

Take a look at some industries that consider data warehouses an essential part of their day-to-day operations.

Insurance and Investment sector

DWs in the insurance and investment sector primarily analyze market trends and customer and other data patterns. Stock markets and Forex are two significant sub-sectors where DW plays a substantial role as a single point difference leading to immense losses across the board. In this sector, data warehouses are generally focused and shared on real-time data streaming.

Retail Industry

A DW in the retail sector is majorly utilized for distribution and marketing to scrutinize tracking of items, pricing policies, keep track of promotional deals, and analyze customer buying trends. Retail chains typically implement enterprise data warehouses for forecasting and business intelligence requirements.

Conclusion

Therefore, a data warehouse is crucial for any organization that requires it to scale its business operations and become a known name in the data-driven business world. At Polestar solutions, we comprise DW professionals who have worked on sophisticated and complex enterprise-level data warehouses.

Our expert professionals have architected systems & processes that have not only optimized for the current requirement but are also scalable to meet future perspectives. So, if you are looking to implement DWaaS into your company’s operating systems, reach out to us.