Five Things to Consider When Choosing a Data Catalog

whitePaper | May 6, 2022

Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

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.

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.

whitePaper | September 22, 2022

This report introduces the Climate Data Steering Committee (the Committee or CDSC)’s proposed recommendations for the development of an open data utility for climate transition-related data: the Net-Zero Data Public Utility (the Utility or NZDPU). The Utility is designed to be built as part of ongoing enhancements to the United Nations Framework Convention on Climate Change (UNFCCC)'s Global Climate Action Portal and will therefore also support increased integration of private sector commitments and actions within the UNFCCC stocktaking and recognition processes.

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.