Securonix User and Entity Behavior Analytics

January 25, 2019

Today’s cyber threats are more sophisticated, executed on a larger scale, and have the ability to spread rapidly. For example, in 2017 WannaCry infected 45,000 systems across 74 countries within 24 hours. Traditional correlation-based security monitoring tools are not capable of detecting advanced threats like these because they lack the ability to scale, lack a broader context, and have weak analytic capabilities.

Spotlight

Syvylyze Analytics LLP

Syvylyze Analytics is a young, energetic and dynamic organization that is passionate about data visualization & business analytics. Therefore, we provide visual analytic services to help our clients discover insights from their data. In today’s digital age, with the proliferation of multivariate data from a profusion of structured and unstructured sources, our single minded purpose is to help companies make sense and gain insights from these vast arrays of data using visual analytics. Our preferred tool for data visualization and analytics is Tableau; using which we render services for our clients to help them answer business questions and gain insights. Our vision is to transform the way companies view and interact with their data to make data-driven decisions.

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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Using Alation to Accelerate Your Active Data Governance

whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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Are Predictive Analytics Truly Predictive?

whitePaper | April 19, 2023

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

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Top 5 Data Ops Tools to Use in 2022

whitePaper | October 13, 2022

Generally, data-driven companies mainly struggle with data quality issues. Massive amounts of data, changing data storage requirements due to changing company regulations, and the various types of data sources and formats do make data management quite difficult for companies. Hence, the need for robust DataOps took to automate and simplify data life-cycle phases is of utmost importance at this point. Here are, some of the most important DataOps took that professionals can use in 2022.

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Spotlight

Syvylyze Analytics LLP

Syvylyze Analytics is a young, energetic and dynamic organization that is passionate about data visualization & business analytics. Therefore, we provide visual analytic services to help our clients discover insights from their data. In today’s digital age, with the proliferation of multivariate data from a profusion of structured and unstructured sources, our single minded purpose is to help companies make sense and gain insights from these vast arrays of data using visual analytics. Our preferred tool for data visualization and analytics is Tableau; using which we render services for our clients to help them answer business questions and gain insights. Our vision is to transform the way companies view and interact with their data to make data-driven decisions.

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