5 Reasons to Build Enterprise Data Warehouse

What are the reasons to build enterprise data warehouse in this digital era? Every modern business possesses and operates vast volumes of data, ranging from financial records and customer details to operational information.

This wealth of data is readily available for storage, organization, reference, and analysis to support decision-making processes. Unfortunately, in many organizations, this data is stored within different departments or business units, limiting access and blocking enterprise-wide decision-making. This can result in several business challenges:

• Inconsistent reporting or discrepancies in data between departments.
• A lack of a comprehensive view of data across the entire organization.
• Missed opportunities for addressing issues through interdepartmental analysis.
• The potential risk to data quality and integrity.

To address these challenges, many organizations opt to build an enterprise data warehouse. Let us explore the concept of an enterprise data warehouse (EDW) and the key reasons why modern businesses invest in the creation of EDWs.

What is an EDW and what tasks does it solve?

An enterprise data warehouse serves as a virtual repository within a corporation, consolidating and housing its business data. The organization can disperse this data throughout its structure while maintaining a high level of accessibility. The fundamental purpose of an EDW is to ensure that relevant individuals can retrieve the necessary information required for informed decision-making.

An EDW possesses the capacity to store both structured and unstructured datasets. These datasets can originate from a myriad of potential data sources, including:

• Enterprise resource planning systems
• Customer relationship management applications
• Social networks
• Internet of Things devices
• Supply chain management systems
• Human resources and payroll records
• Metadata

The size and technical intricacy of an enterprise data warehouse can vary significantly, contingent upon the specific requirements of the business. When executed effectively, an EDW centralizes data, performs necessary transformations, and makes it accessible to end-users. This accessibility can manifest as reports or outputs from the preferred business intelligence tool.

When delving into specific use cases and scenarios, we uncover a number of challenges and objectives that businesses seek to address through the implementation of enterprise data management, with a particular focus on EDWs.

Many of these challenges are integral to typical business scenarios, and they essentially revolve around tackling fundamental tasks associated with enterprise data management. The underlying cause of these challenges often stems from data inconsistencies, which are frequently the result of a historical sequence of events such as company expansion, shifting strategic goals, and tumultuous software development and deployment.

5 Reasons to Build Enterprise Data Warehouse

Let’s check five reasons to implement a cloud-based Enterprise Data Warehouse. The unique capabilities and advantages of a cloud data warehouse position it as the preferred option for most organizations. Here are five compelling reasons why transitioning your data warehouse to the cloud can be a strategic decision:

1.   Cost savings

Affordability stands out as a top motivation for businesses of all sizes to embrace data warehousing, especially cloud-based options. Smaller and mid-sized enterprises, in particular, find cloud-based solutions more accessible as they require fewer resources to maintain hardware, server rooms, networking, and related components.

Larger enterprises are increasingly adopting cloud-based data warehouses to reduce operational expenses. These cloud solutions offer cost savings through their scalability, enabling organizations to meet expanding analytical demands without incurring substantial additional costs. Implementing cost-effective data warehouse automation tools like Astera DW Builder can further enhance these savings.

2.   Enhanced security

Data security is a paramount concern for organizations. Migrating a data warehouse to the cloud represents a significant stride toward bolstering the security of sensitive business information. The absence of onsite physical infrastructure virtually eliminates the risk of physical theft of confidential data.

Cloud-based data warehouse solutions implement robust internal controls and protocols to safeguard sensitive data. Advanced encryption and security measures fortify protection against external threats like cyberattacks, ensuring the security and integrity of data.

3.   Improved integration

Modern cloud data warehouses become much easier to integrate into the existing infrastructures and third-party solutions. They seamlessly integrate with third-party data integration tools, streamlining processes such as data cleansing, ETL mapping, and transformation. In essence, they offer superior integration capabilities compared to their on-premises counterparts.

Cloud data warehouses excel at integrating data from diverse sources, including other cloud platforms and semi-structured or unstructured data inputs. Users can easily establish connections and configure source systems to build a data warehouse tailored to their specific business requirements.

4.   Greater flexibility and scalability

Scalability emerges as a pivotal factor favoring cloud-based data warehouses. This makes cloud data warehouse migration particularly advantageous for enterprises experiencing increasing storage and computational demands. Scaling up to support business expansion is straightforward, requiring no substantial capital investments.

For instance, as a startup matures, it may require more computational power for in-depth analytics. A data warehouse offers independent scalability for computing and storage, facilitating operational upscaling to support analytics and business intelligence.

Data warehouses typically expand over time. By moving to the cloud, organizations eliminate the need to purchase and configure additional storage hardware or enhance network bandwidth, streamlining data retrieval.

5.   Data accessibility and availability

Timely and accurate information is indispensable for informed business decisions. Traditional on-premises data warehousing, with its slower batch processing, can lead to outdated insights, potentially hampering reporting infrastructure. Moreover, traditional data warehouses are reliant on physical equipment and human resources, making them vulnerable to downtime caused by mechanical or system failures.

In contrast, cloud data warehouses are optimized for near real-time and streaming updates, facilitating swift, timely analytics. The constant availability of cloud infrastructure ensures that data insights are readily accessible to business users and remain up to date.
Advanced features such as automated load balancing enhance data processing efficiency, further enhancing the advantages of cloud data warehouses.

Summary

Hope now you know the reasons to build enterprise data warehouse. Constructing an enterprise data warehouse hinges on cultivating a robust data-centric culture within an organization. On the journey towards becoming data-driven, enterprises require a reliable and seasoned transformation partner. This journey would include a thorough assessment of the company’s data culture and expectations. It will also take the industry’s best practices in enterprise data management to deliver tailored recommendations that align with your business needs.