{"id":1138,"date":"2025-06-24T15:41:57","date_gmt":"2025-06-24T15:41:57","guid":{"rendered":"https:\/\/iqeq.com\/lu\/insights\/keeping-pace-in-the-data-arms-race-why-investment-in-data-tools-is-no-longer-optional-for-fund-managers\/"},"modified":"2025-08-27T13:03:08","modified_gmt":"2025-08-27T13:03:08","slug":"keeping-pace-in-the-data-arms-race-why-investment-in-data-tools-is-no-longer-optional-for-fund-managers","status":"publish","type":"post","link":"https:\/\/iqeq.com\/lu\/insights\/keeping-pace-in-the-data-arms-race-why-investment-in-data-tools-is-no-longer-optional-for-fund-managers\/","title":{"rendered":"Keeping pace in the data arms race: Why investment in data tools is no longer optional for fund managers\u00a0"},"content":{"rendered":"
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By Tamas Mark, Global Head of <\/span><\/i>Real Assets<\/span><\/i><\/a>, and Tanuja Adiani, Managing Director<\/span><\/i>\u00a0<\/span><\/p>\n

Seven years ago, the investment industry stood on the edge of a technological evolution. Today, it\u2019s clear \u2013 we\u2019ve crossed that threshold. Data analytics is no longer a “nice to have” for fund and asset managers; it is the very backbone of performance, compliance, transparency, and investor confidence.<\/span><\/b>\u00a0<\/span><\/p>\n

The pace of change is relentless. Investment management firms that fail to keep up with technological advancements risk being left behind. It’s not just about implementing technology; it\u2019s about investing in people, in training, and in transforming operations to meet the growing expectations of investors by propelling reporting tools that serve growth.<\/span>\u00a0<\/span><\/p>\n

Worldwide spending on artificial intelligence (AI) and related IT and business services will more than double by 2028, reaching $632 billion, <\/span>according to<\/span><\/a> research by the International Data Corporation. <\/span>One indication of the potential return on this investment comes from PwC, which <\/span>estimates<\/span><\/a> that AI alone could contribute up to $15.7 trillion to the global economy by 2030 \u2013 more than the current combined economic output of China and India.<\/span>\u00a0<\/span><\/p>\n

Advancements in large language models (LLMs), AI and machine learning tools are fuelling much of this acceleration. In the investment management world, the right technologies now enable firms to consolidate millions of data points<\/span> (<\/span>from funds across multiple strategies and systems<\/span>) <\/span>into a single, trusted, \u201cgolden source of truth\u201d for generating usable, accessible insights.<\/span><\/p>\n

Finding problems to solve<\/h2>\n

Despite these opportunities, asset and investment managers continue to spend precious human resource time on processes that machines can handle. Administrative tasks such as collecting, inputting, initial review, manipulating, and distributing data are prime candidates for automation.<\/span>\u00a0<\/span><\/p>\n

Take the <\/span>real estate<\/span><\/a> fund management sector, for example. Each fund may hold details on hundreds, if not thousands, of leases. Tracking these rental agreements and revenue streams is a massive burden on human resources. Here are some key areas where data analytics can offer meaningful impact:<\/span>\u00a0<\/span><\/p>\n