Investment Managers

CIOs tend to focus on the ways firms must management enormous data volume and IT infrastructure when discussing Big Data, according to "Advanced Statistical Methods for the Analysis of Large Data-Sets." (edited by Agostino Di Ciaccio, Mauro Coli, and Jose Miguel Angulo Ibanez, 2012) For asset management and portfolio managers in the front office, Big Data must provide investors with completeness and transparency.

Investment managers, unlike non-financial businesses, must know how to rapidly analyze, disseminate and implement Big Data. Asset management and portfolio managers must know how to extract immediate value and use the kernels of information. Markets move quickly, and IT professionals within money management firms look for ways to direct technology for client and end-user benefit. The investment management firm has specific IT requirements for back office operations and front-office customer interfaces.

Portfolio management analytics
Big Data's client portfolio challenge stems from the difficulty of streaming all relevant data into a single place. Even cloud-based analytics systems (with access to almost unlimited caches of price and performance data), do not always draw from a comprehensive data set (CDS), according to Kevin Roebuck in "Big Data: High-Impact Strategies - What You Need to Know." (2011) That's because such a comprehensive view is not easily achieved. When an asset manager chooses a portfolio management/PM interface that allows extraction and interpolation of lots of data to look for risky positions, the output's precision cannot exceed the input. Improving ways to stress-test accounts or provide accurate portfolio performance is essential. If data inputs are delayed or aged, the resulting output is inaccurate.

Data aggregators
For these reasons and others, asset management's decision-making process is best supported by multiple data sources, according to "Managing Financial Information in the Trade Lifecycle: A Concise Atlas of Financial Instruments and Processes." (Martjin Groot, 2008) Data aggregators supply asset management firms with access to Big Data, but do so after "refining" raw downstream data prior to delivery.

In this way, portfolio managers use information they deem highly reliable when making daily investment calls to clients or populating PM analytics systems. Asset management and portfolio managers must make accurate and time-sensitive assessments and decisions.

Burlington portfolio managers
Data aggregator toolkits also provide cost-effective research solutions to portfolio managers. Rather than purchase multiple market research subscriptions, aggregators offer access to essential sources such as TD Ameritrade, Morningstar, and Schwab. Each portfolio under management benefits from blue-chip resources.

Portfolio managers and investors must partner to achieve client goals. Burlington portfolio managers support clients' rights to transparent, up-to-the-minute accuracy. Information needed to make investment decisions is seldom derived from a single source. Combining SaaS portfolio analytics in the cloud and proprietary performance assessment solutions, aggregators offer a crucial data service required by client high net worth investors, businesses and family offices.

Investors must have access to on-demand portfolio information and tools, such as firm investment reports, presentations, forms and statements. Burlington portfolio managers work together with data aggregator firms to masterfully produce visually appealing, accurate portfolio performance information and reports.