Big data analytics.

October 1, 2015

Analytics-generated insights are increasingly driving successful decision-making for communication service providers (CSPs). From network enablers to business support systems, there are opportunities to utilize insights gathered from careful analysis of network data.

Spotlight

Syntasa

Syntasa helps businesses and governments leverage data and digital behavior to make informed decisions for the greatest impact. We help brands leverage their first-party behavioral data from websites, apps, and devices to create better analytics, make better decisions, and take better actions. Our self-service platform provides digital professionals with the capabilities they need to collect and process data, develop custom AI/ML models, and activate them in production systems.

OTHER WHITEPAPERS
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Enhancing data mesh: How distributed ledger solutions empower decentralized governance

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

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How to accelerate operational reporting and analytics for Oracle E-Business Suite (EBS)

whitePaper | August 18, 2022

What Oracle EBS does not offer is a high-performance, quick-to-implement analytics solution that seamlessly combines data from multiple sources in an instant. Many EBS customers are stuck using multiple legacy tools and high-cost professionals to generate even the simplest reports, and are unable to modernize and migrate to more cost-effective platforms. But the demand for faster, easier, and near-instant reporting and analytics have dramatically increased over the past decade, placing tremendous pressure on CFOs, CEOs, and IT leaders.

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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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Data Lake Whitepaper

whitePaper | December 22, 2022

We live in a digital world in which data analytics and artificial intelligence significantly impact our daily lives. They influence what we wear, what we eat, where we travel, and how we spend our free time. In medicine the impact of data has much more drastic effects, as access to high-quality medical data is a matter of life or death for patients every day. In this particular area, the desire to save human life by discovering modern methods of therapy and diagnostics often contradicts another fundamental right of the patient - the right to privacy and the right to dispose of one’s data.

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Why Open Architectures Matter in BI: A White Paper on Openness

whitePaper | September 1, 2022

Lock-in occurs when the cost or effort of moving away from a particular choice (platform, vendor) outweighs the benefit of doing so, even if that choice is good for the business overall. The pain of moving is simply too great to consider doing it.

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Enterprise analytics: Ideal vs. Reality

whitePaper | September 28, 2021

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

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Spotlight

Syntasa

Syntasa helps businesses and governments leverage data and digital behavior to make informed decisions for the greatest impact. We help brands leverage their first-party behavioral data from websites, apps, and devices to create better analytics, make better decisions, and take better actions. Our self-service platform provides digital professionals with the capabilities they need to collect and process data, develop custom AI/ML models, and activate them in production systems.

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