Navigating regulatory shifts with better data

In the first half of 2018, two major data-related EU regulations—the Markets in Financial Instruments Directive II (MiFID II), which went into effect in January, and the General Data Protection Regulation (GDPR), which will be implemented on May 25th—are changing how financial services firms manage data. Although legislated in the EU, these two regulations apply to organizations that conduct business in Europe, requiring global firms to come up to speed on compliance.

Meanwhile, other countries face their own regulatory changes and proposals, such as:

Data and Transparency

From navigating regulatory shifts to managing transparency requests, optimising data strategies helps asset owners and asset managers keep up with change. This program explores how institutional investors are utilising new technologies and new processes in areas such as data management and analysis to best serve their stakeholders.

Transforming data into action: The business outlook for data governance

This report, developed by The Economist Intelligence Unit and sponsored by Collibra, draws on a survey of more than 500 business executives working in North America and Europe in the financial services, healthcare and life sciences, manufacturing, retail and consumer packaged goods, telecommunications and technology industries.

Additionally, we conducted in-depth interviews with corporate leaders and experts in data governance. We would like to thank the following for their insights and contribution to this research:

Optimizing data in a transparent world

Transparency ranks as one of asset owners’ and asset managers’ top concerns, (1) but simply sharing more data between both sides does not always lead to better investment outcomes.

Instead, asset managers need to find a balance between fulfilling external transparency requests and protecting competitively differentiating knowledge, while asset owners need to find a balance between understanding what data they need to reach their investment and fiduciary goals and what data could lead to information overload.

Cloud computing in China

Listen to Junsheng Hao, chief technology officer of Shanghai Yungoal Info Tech, Digital China Group as he shares insights on the rapid progression of cloud computing and why he believes the coming decade will be a golden period for the industry in China. 

GDPR – An issue of hearts and minds, not cyber

It bears repeating that, at its core, GDPR is about clarifying where PII is in any given organisation.

Predicting cyber-attacks, not as far-fetched as it sounds

Knowing your assailant’s next move can protect you from the next data breach. Armed with such information, security analysts could take proactive measures to protect sensitive data, patch or update vulnerable software, bolster security settings and block the attacker’s access and progress.

The data-driven CFO

Artificial intelligence, machine learning and big data can all facilitate financial reporting and compliance, monitor market movements, track supply chain inefficiencies, enable smarter outsourcing, support workforce and talent management efforts, and predict future trends. When they fail, modern technologies can destroy entire businesses and their reputations: most notable are the hacks and privacy breaches that are increasingly a top worry about executives across the C-suite. 

 

Why AI and machine learning demand high-quality information

As machine learning becomes pervasive, the quality of the information from which patterns and insight are extracted will be paramount

Broken links: Why analytics investments have yet to pay off

Sales and marketing analytics is integral to the ability of companies to thrive in today’s markets. In an EIU survey of 448 senior U.S. executives conducted for this study, 70% of respondents say sales and marketing analytics is already “very” or “extremely important” to their own business’s competitive advantage. In just two years, 89% of respondents expect this to be the case. 

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