Combined with top-down research, alternative data can make the difference between an accurate model and a sub-par model. Import.io allows research analysts to get non-traditional web data, which is a key component to a modern and thorough bottom-up analysis.
Import.io extracts data from non-traditional sources such as industry blogs, social media sites, social news aggregation sites (i.e. Reddit, ycombinator), ecommerce aggregators, and any website. Analysts get current web data quickly for up-to-the-minute analysis.
Market information is freely available on the web, but spans across hundreds of websites, such as Angel List, TechCrunch, Crunchbase, corporate websites, and others. Combing through multiple websites and online databases by hand can be difficult to manage and isn’t always reliable.
Import.io can parse through the information and even find the latest updated data. This allows equity researchers to quickly pull the relevant information together to evaluate the necessary financials.
Getting a financial statement into a usable format for analysis can be daunting, but analysts need hundreds of financial statements to compare data for clients. Import.io helps to get the data in a usable format by parsing the structure of financial data separate of associated text and descriptions.
Insurance companies can use alternative web data to determine insurance risks on products, people, services, etc. With Import.io they can extract background data, customer sentiment, and ratings across hundreds of websites and use key words and ratings numbers to determine insurance cost and risk.
There is some confusion about ‘scraping’, what it is, whether it is legal and how it can be used. ‘Scraping’ of the web is just automated access to websites and it is lawful. Legal departments know this, which is why some of the largest companies in the world use Import.io…
“Import.io not only allows us to get more data in less time, it also saves us money. Delivering the volume of data we are doing today using those old tools would have cost us almost $5,000 a week.” Situation Success is predicated on its ability to effectively gather vast amounts…
“Import.io is instrumental in helping us continue to improve the quality of our market intelligence database for our clients.” Situation Manage a proprietary market intelligence database of over 300,000 U.S. and Canadian retail brokers. Before Import.io Time-consuming – manual updates Took three weeks full-time employee Delayed expansion of services Error-prone…
“With Import.io, we have been able to deliver more value and higher quality products for our clients. We just love Import.io.” Situation With data at the core of its business, FiscalNote must collect vast amounts of web data across a broad range of sources. Before Import.io Monitored only 1,000 websites…
In 2017 Import.io moved headquarters to Silicon Valley, attracted top talent, delivered over 100 new product features, and more than doubled revenue The web is the largest data source on earth and Import.io can help any organization get value from this data. Demand for alternative data is increasing exponentially and…
Content marketing is getting harder than ever. Organic reach on social networks is diminishing, search results are becoming more competitive, and most topics of any interest have already been written about. Gone are the days where you can simply write a clickbaity top 10 list and make it go…
Online review sites are the world’s repository of customer opinion – every day, hundreds of thousands of customers give publicly available feedback on their experiences with businesses. With customer opinion available on a scale like this, anyone can generate insights about their business, their competitors, and potential opportunities. But to…
Rise in Data Monetization In the beginning, collecting big data was primarily done for the purpose of creating a better customer experience, from how services were offered, to the types of products being made. Big data reigned, and businesses were obsessed with how to collect it. But now companies are…
