Oracle Analytics Cloud

July 25, 2019

The answer is easier than you might think. Oracle Analytics Cloud is a single and complete platform that empowers your entire organization to ask any question of any data across any environment, on any device. It fits into your ecosystem, enabling analysis in the cloud while also providing easy access to any data source. The result? The best use of all your data no matter where it is. Oracle Analytics Cloud provides a variety of options for intelligent analysis without being overwhelming to deploy and manage, making it an effective way to engage more people in analysis and extend your organizations expertise.

Spotlight

Vadis S.A. - Data Mining Expert

“Vadis is a leading European company in Big Data Analytics, Data Mining and smart Business Intelligence” We dispose of a set of high level in-house developed tools for Big Data, Web, Text and Graph Mining which we combine with highly developed expertise in Data Analytics, Predictive & Prescriptive Modelling and Data Clustering. This innovative and unique approach enables us to deliver real Business Intelligence Added Value to our customers, especially since results can be analyzed through very user-friendly & customizable data visualization, drill-down and analysis tools. Most of our customers use this approach for improving their Sales Efficiency, Risk Management and Data Quality (enrichment, cleansing). Moreover we can further leverage this insight in data by using our own data sources on B2B relations, assembled over the last years (e.g. we analyze and structure around 2 million press articles per day !). These innovative solutions are used by clients in all sectors and governme

OTHER WHITEPAPERS
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A blueprint for data-driven insights

whitePaper | August 20, 2021

While finding and creating insights can often feel like luck, there are proven methodologies you can use to ensure you’re seeing regular insight from your on-hand data. Access this short e-book to learn how you can start seeing regular, valuable insight success from you big data and analytics investments.

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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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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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The Value of Oracle Enterprise Manager for Managing Oracle Databases

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

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Analytical Data Infrastructure MarketStudy (Excerpt)

whitePaper | June 23, 2021

Analytical data infrastructure (ADI) platforms underpin key analytics models via processes like data integration, preparation, management, and storage. But with complex cloud architectures, as-a-service offerings, and innovative new analytics and process developments, how can the discerning expert choose the right ADI offerings for their business?

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Spotlight

Vadis S.A. - Data Mining Expert

“Vadis is a leading European company in Big Data Analytics, Data Mining and smart Business Intelligence” We dispose of a set of high level in-house developed tools for Big Data, Web, Text and Graph Mining which we combine with highly developed expertise in Data Analytics, Predictive & Prescriptive Modelling and Data Clustering. This innovative and unique approach enables us to deliver real Business Intelligence Added Value to our customers, especially since results can be analyzed through very user-friendly & customizable data visualization, drill-down and analysis tools. Most of our customers use this approach for improving their Sales Efficiency, Risk Management and Data Quality (enrichment, cleansing). Moreover we can further leverage this insight in data by using our own data sources on B2B relations, assembled over the last years (e.g. we analyze and structure around 2 million press articles per day !). These innovative solutions are used by clients in all sectors and governme

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