Hiding in Plain Sight: The Untapped Value in Unstructured Data

Table of Contents

1. The size of the opportunity
2. Two ways to put it to work
3. Getting it right: the SellWizr approach
4. Conclusion

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Introduction

Every day, financial institutions generate and collect an enormous amount of client intel. Much of it is in the form of unstructured data, meaning information that is not organized into the rows and columns of a database. Examples of this are emails, electronic chats, social media posts, slide decks, financial statements, press releases, and web pages. Unlike the fields in a CRM or a trading system, it cannot simply be sorted or loaded into another system. It comes in many formats and only becomes useful once someone interprets what it says and works out which client it relates to.

Because it is hard to work with, most of this information goes no further than the compliance function, a reconciliation project, or a mandatory archive. Often, it is simply collected and never examined at all. Extraordinarily little reaches the people who manage client relationships and revenue, or the teams responsible for keeping client data accurate. That gap is one of the largest untapped assets in financial services, and closing it would help firms predict client needs quickly and accurately and give them client records they can trust.

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The size of the opportunity

It was estimated in 2023 that more than 90% of the data organizations produce is unstructured. In addition, a 2025 Salesforce survey of more than 7,600 leaders found that data executives consider 19% of their company's data unusable, and 70% believe their most valuable insights sit in that unused portion.

Every part of the industry experiences a version of this. A card issuer has dispute narratives, a wealth manager has client review notes, and in capital markets, broker votes spell out what each asset manager values in the banks it pays. Yet in each case, because the information arrives in a format that a CRM cannot easily absorb, the insight tends to live briefly in a few people’s heads rather than shaping how the firm manages the relationship. The volumes can be significant; Bank of America’s virtual assistant Erica alone handles about 58 million client interactions a month. Taken together, this information is the most direct record a firm has of what its clients want and how its relationships are changing, and much of it is in the clients’ own words.

Much of this information is already organized and searchable because regulators require it. Broker-dealers and investment advisers must keep their client communications, banks must document who owns their business clients, and card issuers must record how they resolve disputes. Firms take this seriously: the SEC alone has collected more than $2 billion in penalties since 2021 from firms that failed to preserve communications.

The result is a rich archive that compliance teams search every day, but that is rarely connected to the CRM or to the people who manage relationships.

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Two ways to put it to work

The most obvious use for unstructured data is to proactively manage client outcomes. Transaction and CRM data record what a client has already done, while the reasons behind those actions, and early hints of what comes next, tend to show up first in unstructured information. A cardholder who asks twice about balance-transfer rates may be preparing to move a balance. A corporate treasurer who mentions a new market may soon need cross-border payments. Each of these points to a specific action, and each loses value the longer it goes unnoticed. Acting on them depends on individual salespeople having the time and motivation to dig through the information themselves, assuming they have access to it in the first place, which many do not.

The less discussed benefit, and arguably the more important one, is data quality. Every decision a firm makes about a client depends on accurate account and contact data. That data decays constantly as people change jobs and corporate structures shift, and it is often still (poorly) maintained by hand.

Unstructured information is usually where these changes show up first. A new title in an email signature or a KYC refresh that reveals a change in ownership can update the client record when the change happens, rather than months later in a periodic cleanup (if at all). This matters well beyond sales, because a firm cannot build reliable analytics or automation on client records it does not trust.

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Getting it right: the SellWizr approach

All of this depends on tying each piece of information to the right client, and that is harder in financial services than in most industries. The same person might be a retail customer and the treasurer of a corporate client, with each relationship recorded in a different system. Institutional relationships are more complex still, spanning parent companies, subsidiaries, funds, pods, and outside advisers. When a signal is matched to the wrong record, the right banker never sees it, and when an automated update is matched to the wrong record, the client data gets worse instead of better. Role-based access is just as critical. If a solution cannot control who sees what, inside the firm and out, it will fail.

SellWizr was founded by people who led client technology and sales data teams in financial services and watched insights go unused because the underlying data could not be trusted. Its platform connects both structured and unstructured data with CRM and account information, links related accounts across the parent-child and advisor relationships before it identifies signals and recommends a next step. It is the equivalent of an incredibly talented quantitative strategy team for your client ecosystem.

SellWizr handles native PDFs and scanned pages as easily as slide decks, spreadsheets, and web pages, so the format information arrives in no longer matters. In SellWizr’s own benchmarks, it missed 29% fewer values than the leading open-source alternative at 25% lower cost, and it keeps tables intact, so every number stays attached to its label. Everything it extracts goes into a searchable knowledge graph, which means teams can answer questions in minutes instead of reopening documents for hours. And because every review and correction feeds back into the system, its accuracy on a firm’s own documents improves the more it is used.

In practice, a banker preparing for a client review can see how the client has been using the firm’s platform and which products or issues keep coming up in its conversations, without opening a single file. And when a key contact changes jobs or a KYC refresh shows a change in ownership, the client record updates itself quickly and accurately, and the right person on the team hears about it that day.

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Conclusion

Financial services firms already invest heavily in capturing and storing client information, largely because they have no choice. Putting that same information to commercial use turns a compliance expense into a source of revenue. Combined with the ability to bring structured and unstructured data together at scale, it becomes a decisive competitive advantage. The firms that use it well will spot what clients need sooner and make every decision on records they can trust. Most already have the data; the winners will be the ones that connect it to the right client and act on it first.