Tag Archives: Data Errors

Four Common Data Problems Faced by Fund Marketers

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Four problems with data faced by fund marketers

A few common phrases we hear from investment marketers are, Our data is a bit of a mess and Our data could use a little housekeeping. In our experience, we have learned that marketers have become the de facto experts on fund data management and automation.

Fund marketers themselves are routinely chasing-down their financial data from many disparate sources, both internal and external. Then, they are trying to extract clean data for use in their customer-facing marketing materials. This process is made more challenging when there are tight time frames. Plus, it has to be done with the highest levels of accuracy and consistency in real-time. (more…)

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Getting the Data Right in Investment Commentary: An Interview with Susan Weiner, CFA

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by Emilie Totten

Getting-Data-Right-in-Commentaries

A few weeks ago, my friend Susan Weiner published “Investment commentary numbers: How to get them right.” It’s an excellent blog post about how to prevent numerical errors from being published in investment commentary. Susan is a financial writer-editor at InvestmentWriting.com and author of the book, Financial Blogging: How to Write Powerful Posts that Attract Clients. As a former investment marketing professional turned financial writing consultant, she is no stranger to the intricacies involved in producing these important documents. (more…)

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Proofreading Fund Documents Doesn’t Have to Be a Drag

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by Noah Menikoff 

Proofreading FactSheets

A good proofreader is hard to find. Ask any financial services marketer and they will probably tell you this is the worst part of their job – proofreading, editing and updating documents. It’s time consuming work and it takes an enormous amount of time, patience, attention-to-detail, and focus.

Manual proofreading not only requires time and patience, but it also involves thoughtfulness and empathy. Thoughtfulness is required to interpret what is not always an apples-to-apples comparison and empathy is important for evaluating information from the perspective of the end-user. With so many data points and documents to work with, even the most skilled proofreaders face the undeniable challenge of human error. Not to mention, it’s unsatisfying work that takes up time and resources.

(more…)

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