BARC Score Enterprise BI & Analytics Platforms

August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

Spotlight

zettafox

zettafox is specialized in Data Science (Big Data and Machine Learning). We build proprietary algorithms suggesting decision options to take advantage of explanatory rules called prescription analytics and predictions. We use A.I. to make sense of all of the information our clients harvest and gather (extracting the explanatory essence) to increase their competitive advantage and embrace growth and risk. Our technology bridges the gap between predictive and prescriptive analytics anticipating and explaining business phenomena. We combine HPC and proprietary AI algorithms to better answer difficult business issues to outperform the market and competition. Our company's mission is to generate significant incremental (and measurable) value for our clients’ businesses through the deployment of highly innovative data-driven solutions that leverage sector-specific, leading edge advanced analytics techniques…

OTHER WHITEPAPERS
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GBM-Security

whitePaper | November 15, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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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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Delta Live Tables Value Proposition and Benefits

whitePaper | December 13, 2022

Modern Data Analytics Platforms (DAP) have gone through rapid architectural pattern changes over the past few years, independent of the use cases, to provide maximum benefits to the consumers.

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Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

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Trellix Data Protection

whitePaper | August 2, 2022

The volume of data has exploded across all sectors in the last decade. Enterprise data has grown enormously, and organizations must contend with more unstructured data than ever. In fact, 95 percent of businesses cite the need to manage unstructured data as a challenge.

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Dell CloudIQ: A Detailed Review

whitePaper | December 30, 2022

This white paper details Dell CloudIQ, the cloud-based AIOps proactive monitoring and predictive analytics application for Dell systems. It describes how it uses machine learning and other algorithms, notifications, and recommendations to help you optimize compute, storage, hypercoverged infrastructure, data protection, and network health, performance, and capacity.

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Spotlight

zettafox

zettafox is specialized in Data Science (Big Data and Machine Learning). We build proprietary algorithms suggesting decision options to take advantage of explanatory rules called prescription analytics and predictions. We use A.I. to make sense of all of the information our clients harvest and gather (extracting the explanatory essence) to increase their competitive advantage and embrace growth and risk. Our technology bridges the gap between predictive and prescriptive analytics anticipating and explaining business phenomena. We combine HPC and proprietary AI algorithms to better answer difficult business issues to outperform the market and competition. Our company's mission is to generate significant incremental (and measurable) value for our clients’ businesses through the deployment of highly innovative data-driven solutions that leverage sector-specific, leading edge advanced analytics techniques…

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