Streaming Analytics: Connecting Insight to Action

January 24, 2019

Analytics leaders are now starting to tackle the hardest, but arguably most important part of their analytics journeys: connecting insights to actions. Discovering unique insights is great, and obviously most valuable if acted upon in moments when they will have the most impact. The first thought that comes to mind for many is that you need to be an expert in analytics to do that; But, that’s really not the case.

Spotlight

Clariba

Clariba, recognised as one of the leading SAP partners in EMEA, is an independent, expert analytics consultancy that provides industry-focused solutions for enterprise performance management, business intelligence and organisational alignment. Our mission is to deliver innovative, reliable and high-quality business analytics solutions, providing our customers — leaders in telecommunications, retail, healthcare, transportation & logistics, oil & gas, and banking sectors — with clarity and actionable insight to improve their business performance.

OTHER WHITEPAPERS
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On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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The Path to Self-Service Analytics on the Data Lake: Asset

whitePaper | May 2, 2022

Download this white paper to get a step-by-step roadmap for adopting Dremio and migrating workloads while maintaining coexistence and interoperability with existing systems and technologies.

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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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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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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

Clariba

Clariba, recognised as one of the leading SAP partners in EMEA, is an independent, expert analytics consultancy that provides industry-focused solutions for enterprise performance management, business intelligence and organisational alignment. Our mission is to deliver innovative, reliable and high-quality business analytics solutions, providing our customers — leaders in telecommunications, retail, healthcare, transportation & logistics, oil & gas, and banking sectors — with clarity and actionable insight to improve their business performance.

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