Ebooks and other materials - Integral Solutions  
Integral Solutions - IT solutions for companies
Integral Solutions - IT solutions for companies

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Ebooks and descriptions of solutions for you

5 core business value metrics to build a solid foundation for cloud data management

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Accelerate business success with data sharing

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Ensure data democratization in your organization

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Build a data strategy –
actionable insights from data and analytics leaders

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Data observability: the key to success
in the field of data and analytics

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Data management and Data Governance - the most important priorities of the CDO data strategy in 2023

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Drive business results with an effective master data strategy,

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A 5-Step Plan for Master Data Management Success

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Proper product information management strategy

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7 steps to create an intelligent Customer Engagement

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3 best practices for success with Snowflake

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6 things to consider before using a cloud data warehouse

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6 things to consider before using a cloud data warehouse

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7 Best Practices for Data Catalog Implementation

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Imagine a new Data Governance
framework you need

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Data quality: The foundation of any successful cloud migration

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Accelerate your journey to the cloud with the data catalog

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Extract value from your data with AI-powered data discovery

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Next generation 360-degree view of customers - learn about the key features of the solution

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Accelerate your journey to the cloud with data you can trust

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Cloud data integration, services Informatica in the field of intelligent cloud

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Data archiving – Archive inactive data and reduce the cost of maintenance

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The right strategy for product content management

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Data quality in the cloud data warehouse

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Supplier 360 – master and manage supplier information

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Eliminate the weak links in your supply chain

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Cloud application integration Informatica: an overview of the possibilities

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Integrate applications and hyper-automate complex business processes

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Informatica API Manager – Modernize your data, API and integrate applications

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Top 8 trends in multi-domain master data management

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Stay updated.

13.07.2026

Agentic AI needs a layer of control, not just more agents.

AI agents are increasingly finding their way into real business processes, but scaling them requires visibility, governance, cost control, and the ability to respond quickly.
06.07.2026

AI doesn't scale through models alone. It scales through trusted data, governance, and competencies.

Organizations are implementing GenAI at an increasing rate, but data trust and governance often lag behind.
21.05.2026

How does advanced data analytics support business decisions?

In 2026, agentic AI is no longer a curiosity. The problem is that the scale of deployments is growing faster than trust, governance, and data readiness. Here's what's blocking production—and how to unblock it.

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