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Research Validation

The Problem:

Poor data is costing businesses an average of $15 million per year.*

Cortex Solution:

  • FeedStock’s data analytics allows you to identify where you are deriving real value throughout the investment process, and from whom.
  • By differentiating between bespoke and generic research and classifying how research is being engaged with, FeedStock equips you with qualitative and quantitative data to negotiate research fees.

* Gartner, Data Quality Market Report” (2017)

Example Cases

Hedge Fund
London

The head of research at a London-based hedge fund contacted FeedStock because they had opted to pay for sell-side research from their P&L, but with their current system had little visibility as to whether the firm was really benefitting from their contracts with over fifty research providers. He wanted a much more granular understanding of how the PMs and analysts in the firm were consuming sell-side research so that he could pay for those services accurately and proportionately. Since installing FeedStock this firm has made considerable cost efficiencies in how they assign their research budget.

 

Asset Management Firm
London

Our client, an asset management firm, wanted a MiFID II research inducement tracking solution that did not demand any incremental tasks of its revenue generators and allowed them to focus entirely on the investment process. Recognizing that their PMs and analysts were already time-starved, automation and non-disruption were paramount for the head of operations who was choosing the solution.  FeedStock was the perfect fit because it integrated with all their existing IT systems and ensured compliance without distracting the front office from their core roles. Overall, FeedStock was able to reduce bureaucratic burden of compliance for this firm, keeping the front office happy and compliant.

Multinational Investment Bank
Europe

This investment bank had been using a traditional CRM system to record their client engagement and interaction. An internal audit revealed that the information it contained was largely inaccurate and much of it was out-of-date or missing. They also knew that their greatest blind spot was the high-frequency, high-value communications. The company wanted to leverage our unique technologies to track the distribution of their research services and monitor their client relationships. FeedStock’s automated engagement analytics delivers a richer dataset than any of the traditional CRM systems. Using artificial intelligence, FeedStock embeds invisibly to generate an average of 3000 data points per user per day, without any need for manual input. The granularity of this information enables this client to truly understand the efficacy of their outreach and calculate the value-add to each of their individual clients.