Наталя Хандусенко Useful Guidelines 16 May 2025, 14:57

Intellias has developed a Big Data management guide to help businesses improve the efficiency of their own storage

Intellias presented the infoguide "The Ultimate Guide to Data Warehousing: Building a Future-Ready Data Strategy", where the company's experts explain in detail how to build an effective and secure data warehouse architecture that meets the modern needs of data analysis, AI integration, and digital transformation.

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Intellias has developed a Big Data management guide to help businesses improve the efficiency of their own storage

Intellias presented the infoguide "The Ultimate Guide to Data Warehousing: Building a Future-Ready Data Strategy", where the company's experts explain in detail how to build an effective and secure data warehouse architecture that meets the modern needs of data analysis, AI integration, and digital transformation.

In this guide, the Intellias team reveals why traditional solutions — such as data lakes or separate hubs — are no longer relevant. Instead, the future lies in flexible, scalable, and integrated storage that unifies data sources, supports real-time analytics, and is ready to work with AI algorithms.

The company's experience and expertise in data and analytics is based on many years of experience and over 100 consulting projects. They are based on a combination of industry expertise, frameworks and accelerators to build a customized strategy.

This allowed us to collect in "The Ultimate Guide to Data Warehousing: Building a Future-Ready Data Strategy" key aspects of building a data warehouse strategy and provide answers to the main challenges faced by key roles in organizations:

Chief Data Officers and Head of Data & Analytics: overcoming data fragmentation, creating a unified data strategy, implementing ETL/ELT processes, and maintaining compliance in hybrid environments.
CIOs and IT directors: optimizing infrastructure costs, choosing between a cloud, hybrid, or on-prem solution, integrating data from CRM, ERP, IoT, and preparing the architecture for AI/ML analytics.
BI teams and analytics: data unification, increasing query speed, visualization and implementation of self-service analytics through Power BI, Tableau, Looker.

The guide includes a case study on implementing a cloud data warehouse for one of the world's largest Fortune 500 telecom providers. Intellias modernized the legacy data architecture and migrated data from on-premises to Google Cloud, integrating over 100 sources (including IoT). The engineering team achieved the following results: