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Building a Data Strategy for Defence Partners

Alation

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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Vendor Security is Key to Preventing Future Data Breaches

Smart Data Collective

The number of data breaches in the first nine months of 2020 dropped 30% compared to 2019, according to a report published by the Identity Theft Resource Center. As data breaches continue to be a serious concern, organizations need to take stringent measures to protect against them.

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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. However, it wasn’t until the 1990s that ESG considerations started to appear in mainstream investment strategies. In 1995, the U.S

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? Assess Variables.

Risk 79
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The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

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Mastering market dynamics: Transforming transaction cost analytics with ultra-precise Tick History – PCAP and Amazon Athena for Apache Spark

AWS Big Data

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. SIAC has recommended that firms prepare for peak data rates of up to 37.3 GBits per second.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

By promptly identifying and addressing risks, it enhances operational resiliency and enables proactive risk management. The solution also reduces incident response times, optimizes processes and streamlines asset management. First of all, it helps bridge the gap between business abstracts and technical realities.