Remove Big Data Remove Business Intelligence Remove Cloud Remove Strategic Planning
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5 Technical Reasons for a Cloud Analytics Migration

Datavail

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

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How Mapfre gets cloud to coexist with its tech model ambitions

CIO

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. And in what state is the execution of this strategic plan? In the long run, it will come.

Cloud 227
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Less is More: The Benefits of Streamlining Your Data Integration Workflow

Datavail

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

Data 40
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. No wonder only 0.5 percent of this potentially high-valued asset is being used.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning.