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Conduct fast, accurate analysis with enhanced financial modeling

Kailey Raymond

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June 24, 2021


The past 30 years have been times of unprecedented business growth. Since 2007, the volume of mutual funds has nearly doubled, with total net assets of open-end funds worldwide reaching over $63 trillion. In the corporate sector, profits keep growing overtime and many of the US’s largest companies managed to turn a profit even amidst the COVID-19 pandemic.  

To gain a competitive edge and maintain profits, businesses rely on fast and accurate information to inform the investment theses and financial models propelling strategic decision-making. The challenge in creating these models lies in the fact that the necessary information often lives across disparate systems. Moreover, in the effort to search for actionable insights and accurate information, efficiency and precision can be lost. 

With more and more businesses treating information and data as a corporate asset, fast, reliable and reputable sources of information have never been more important to help businesses make informed decisions, update financial models and ultimately grow profits. 

Building financial models

The process of building financial models is relatively simple. The summary of a company’s financial performance, a model is based on variable metrics and helps the business forecast future financial performance. 

Financial models built on clean historical data can take hours or days to build. Normally, they require you to copy and paste individual values from 10Ks, 10Qs and 8Ks into discrete cells in Excel. Not only is this tedious process time-consuming, it can lead to data-entry errors impacting your model.

Automating your modeling process

New tech-enabled workflow enhancements to financial modeling have upgraded this once-manual process, automating much of this laborious and error-prone activity. AlphaSense’s Table Tools suite and AI-powered KPI extraction allow you to quickly and accurately export data into Excel and quickly identify quantitative insights hidden within transcripts to help accelerate your modeling process.

Extracting time-series data in seconds

If you’re creating or updating a model, the first place you’re likely to start is a company’s most recent SEC filing. You’ll want to find their income statements, cash-flow or balance sheets and compare how they’ve changed over time. With Table Extraction, you can select and export time-series data for any table within the filing into one Excel sheet. 

Auto-extraction empowers you to manipulate this data for your own models and saves valuable time in understanding how a company’s performance has changed over-time.

Additional data to further your model

Once you’ve taken a look at a company’s SEC filings, you find yourself searching for additional data to improve your model. You can benefit from adding the rich quantitative insights from global filings, ESG reports, and company presentations by clipping and exporting them directly to Excel. 

Upon clipping a table or chart, AlphaSense parses the object for quantitative data, then, organizes the data into a clean data table in Excel, which can be manipulated, reformatted, and redesigned to your convenience, helping you to take your model one step further, without the need to copy and paste.

Extracting KPIs from transcripts

The last resource that is rich with information for modeling is a company’s transcripts. Because AlphaSense’s AI algorithms are trained in the language of business, extracting key KPIs from text-based documents like earnings transcripts, can now be automated at scale. As our algorithms parse through earnings calls, they automatically aggregate and group together KPIs like revenue, Capex and growth.
 

Not only will our KPI module take you directly to the mentions within one transcript, you can easily understand the historical context of how a company speaks about this metric by opening up Snippet Explorer to view all mentions of the KPI over-time, within one single view. The ability to automatically extract these KPIs from transcripts at scale accelerates meaningful analysis.

In using AlphaSense’s suite of AI and productivity tools, one PE analyst found that not only was he able to save time, he strengthened his investment theses.

Check out this video of best practices in leveraging AI to help automate your financial modeling and unlock a 2 week free trial of AlphaSense here.

Here are a few scenarios and how AlphaSense can help automate your financial modeling process:

What info you’re seeking

Scenario

How to do it in AlphaSense

Balance sheet Uncover changes in Facebook’s balance sheet QoQ Navigate to Facebook’s SEC filings, find the balance sheet, and use Table Extraction to export QoQ data into Excel.

Product tour for AlphaSense users.

Growth rates Identify growth rates of cannabis hydroponics

Search across broker research for cannabis growth. 

Export the table from a research report showcasing CAGR across hydroponics, cultivation and vertical farming. 

Product tour for AlphaSense users.

Price Discover changes in Disney’s pricing strategy over-time

Filter by transcripts and go to Disney’s most recent earnings call.

Leverage KPI Module to navigate directly to key snippets related to price, then open Snippet Explorer to see how this strategy has changed over time. 

Add a # into the search bar to uncover mentions with numerical values.

Product tour for AlphaSense users.

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Kailey Raymond

A customer-obsessed and data-driven marketer, Kailey Raymond leads Customer Marketing at AlphaSense. Previously, she was an early employee at two high-growth tech startups, in charge of launching new markets and building local communities.


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