Business Intelligence, Big Data Management, Data Science

Data Beyond Borders 3.0

July 6, 2023

Data Beyond Borders 3.0
Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT.

Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

Spotlight

Idiro Analytics

Idiro Analytics provide Big Data solutions to businesses - we turn your data into insights and then into money. Idiro's award-winning software service is used by its customers to predict churn, acquire customers, drive revenue growth and many other marketing / CRM applications. We provide bespoke analytical solutions to companies across a vast range of industries including, telecoms, banking, utilities, transportation and healthcare. These solutions can be delivered on-site or via an analytics-as-a-service model. Additionally, for companies who need to grow their analytical capabilities Idiro can provide on-site consultants to help accelerate your projects. For all enquiries contact our Corporate Account Sales Manager, Gerry Reid, via: gerry.reid@idiro.com.

OTHER WHITEPAPERS
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atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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Dell PowerProtect Data Manager: Deployment Best Practices

whitePaper | July 28, 2022

Data protection has become an integral and essential part of any successful business. The need to provide a powerful, scalable, and simple disaster and operational recovery solution is at an all-time high.

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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Spotlight

Idiro Analytics

Idiro Analytics provide Big Data solutions to businesses - we turn your data into insights and then into money. Idiro's award-winning software service is used by its customers to predict churn, acquire customers, drive revenue growth and many other marketing / CRM applications. We provide bespoke analytical solutions to companies across a vast range of industries including, telecoms, banking, utilities, transportation and healthcare. These solutions can be delivered on-site or via an analytics-as-a-service model. Additionally, for companies who need to grow their analytical capabilities Idiro can provide on-site consultants to help accelerate your projects. For all enquiries contact our Corporate Account Sales Manager, Gerry Reid, via: gerry.reid@idiro.com.

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