Proper data warehouse (DWH) implementation allows you to drill down into the organization’s data. It enables you to conclude from the information. Further, to implement an effective BI tool, an organization needs a well-designed data warehouse first.
The design & implementation of data warehouse deals with building a solution for data integration from many sources. It supports analytical reporting and data analysis. However, a poorly designed data warehouse can expose you to the risk of making strategic decisions based on erroneous conclusions.
This post will discuss how to go about data warehouse implementation, its components, benefits, best practices, resources required, and more.
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Mission-critical systems like ERP, CRM, and more are the backbone of any business. They utilize relational databases for data storage. But as companies scale with acquisitions & mergers or expand into new verticals, visibility becomes an increasing issue. The task of retrieving data from disparate systems & analyzing it is highly time & resource intensive. This visibility issue gradually starts hampering further business growth. Here comes the need for the implementation of a Data Warehouse System.
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Here’s a step-by-step data warehouse implementation process based on our experience developing custom DWH solutions across multiple industries. It covers all phases of DWH development – from the consultation to the support & maintenance.
The steps in data warehouse implementation include the following:
Read our blog on data warehouse development if you want to create one from scratch. However, some steps may vary depending on project complexity, data quality, data analytics objectives & more.
A standard DWH is based on an RDBMS server which acts as a central information repository. It is surrounded by data warehousing components to make the entire environment functional, manageable & accessible.
The core components of a data warehouse architecture include:
Each layer performs specific functions and uses a particular set of Software. To understand each layer in detail, read here.
Data warehousing provides immense advantages to companies of all sizes. Here are some of them:
We don’t just know but have hands-on experience working on many data warehouse projects across industries. Our team can build a custom DWH solution for your business.
Being a significant component of a data engineering project, it is more likely to meet roadblocks. However, an experienced tech partner like Rishabh Software can help you navigate through them & support you with the right solution for your business.
Based on our experience, here are some of the proven practices for data warehousing implementation:
We provide a full suite of data warehouse development services that cover migration, design & development, modernization, and support. Our multidisciplinary team is highly skilled & experienced in data modeling, management & governance, and business intelligence.
Here’s a use case from our experience;
Our client, a US-based hospitality giant, used many applications (PMS, POS, analytics, inventory, and more) to manage business data. They wanted to create a data warehouse as the single version of the truth. It would help stakeholders derive valuable insights.
Our team provided consultation, gathered requirements & created a detailed project roadmap. Our data warehouse development process included the following:
The DWH solution included features like:
A data warehouse benefits companies of all sizes; however, small & mid-sized organizations do not recognize it now. Businesses can gain a competitive edge by discovering the hidden patterns & opportunities in their existing data. They can better predict future trends by leveraging data analytics & reporting capabilities & plan accordingly.
While data warehouse implementation is complex, it doesn’t have to be with an experienced & skilled tech partner guiding you throughout the process. They can help you avoid pitfalls & navigate challenges along the way while delivering a fully functional DWH solution that meets your business needs.
Our experts can provide a data warehouse consultation & design a custom solution suitable to resolve your business issues & satisfy your expectations.