Posted Sep 26, 2022

In Business Analytics, Business Intelligence, Data Science, General, Performance Management


Read time 3 mins

The term “data architecture” has become increasingly popular in recent years as businesses have become more reliant on data to make crucial decisions and drive growth. Data architecture is the blueprint for how data is collected, processed, stored, and accessed by an organization.

Effective data architecture is essential for any business that wants to make the most of its data. It can put your business on the map if executed carefully and with enough support. If you’re interested in building a functional and efficient modern data architecture, then this guide is for you.

What is Modern Data Architecture?

Modern data architecture is a data architecture that is designed to handle the increased volume and variety of data that is being generated by organizations today. The modern data architecture includes a number of different components, including a data lake, a data warehouse, a data management platform, and a data visualization tool. Let’s break down each of these components:

  • Data Lake – A data lake is a centralized repository that stores all of an organization’s structured and unstructured data. The data lake is designed to be a single source of truth for all of an organization’s data.
  • Data Management Platform – A data management platform (DMP) is a tool that helps organizations collect, clean, and organize their data. A DMP can also help organizations track how their data is being used and by whom.
  • Analytics – Analytics is the process of turning data into insights. Basically, analytics can help organizations understand their data, make better decisions, and improve their operations.
  • Data Governance – Data governance is the process of ensuring that data is accurate, consistent, and accessible. This particular component can help organizations avoid problems like data duplication, data loss, and data inconsistency.
  • Machine Learning – Machine learning is a subfield of artificial intelligence that deals with the creation of algorithms that can easily learn on their own and make predictions on data. It essentially allows computers to learn from data without being explicitly programmed.

How Can Data Architecture Modernization Help Businesses?

In the past, businesses have relied on information stored in silos to make decisions. This data was often inaccurate or incomplete, making it difficult to gain insights that could improve operations or drive growth.

Most businesses today are reliant on data in some way or another. This data can be used to help make decisions, track progress, and even understand customer behavior. In order to make the most of this data, however, businesses need to have a modern data architecture in place.

Data architecture modernization is designed to overcome these challenges by making data more accessible and easier to use. By integrating data from different sources and making it available in real-time, businesses can make better decisions based on up-to-date information.

Data architecture can also help businesses improve their customer experience. By understanding how customers interact with their products and services, businesses can make changes to improve the experience. For example, a retail company might use data architecture to track customer behavior and make changes to its store layout or product mix to improve sales.


Data architecture has come a long way in recent years, and businesses have benefited greatly from its advances. By carefully designing their data architecture, businesses can ensure that their data is organized effectively and efficiently, making it easier to use and access. Overall, modern data architecture can help businesses become more efficient and agile, driving growth and improving customer satisfaction.Newcomp Analytics understands that dealing with terabytes of data is never easy, but it is a necessity in the digital age. That’s why we help you tap into your data and help you translate them into a sensible plan of action. Our team can help you build structures and processes to help you collect, assess, and manage your data. Want to learn more about analytics and business intelligence? Reach out to us today.

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