​+1 (917) 512-9523
99 Wall Street Suite 1672 New York, NY 10005​
info@investmentscy.com
 
 
Schedule a Meeting
Investment Science | NYC Consulting Services
  • What We Offer
  • Who We Serve
  • About
  • Insights
  • Contact Us
  • Case Studies
  • What We Offer
  • Who We Serve
  • About
  • Insights
  • Contact Us
  • Case Studies

Insights

XBRL Data Quality For Financial Applications

8/2/2020

0 Comments

 
Picture












               This post is a re-post from altova's blog in regards to how inaccurate publicly available financial data is for consumers. We have worked for many premier financial institutions, and the data quality across all products in regards to accounting is quite an eye-opener.

The  table below shows each line item on a firms financial balance sheet. For example, 'Other Current Liabilities', on the firms balance sheet would show the other current liabilities for a given firm. The data sources for the table are Fidelity, Google, and Yahoo. This means if one were to go to google's website for every publicly traded firm in the United States, that 43% of the data for current liabilities, on the balance sheet, does not match the data displayed on  Fidelity and Yahoo. Investment Science has spent three years in processing xbrl data directly from the government, which means we could analyze whether or not your firm's financial applications are actually publishing accurate accounting information.

Picture
Hire us as xbrl consultants
0 Comments



Leave a Reply.

    Author

    Michael Kelly has been working within banking technology for over a decade, and his experience spans across algorithmic trading, project management, product management, alternative finance, hedge funds, private equity, and machine learning. This page is intended to educate others across interesting topics, inclusive of finance.

    Archives

    February 2021
    January 2021
    December 2020
    November 2020
    September 2020
    August 2020

    Categories

    All
    Agile Project Management
    Change Management
    Data Science
    Disruptive Innovation
    Financial Education
    Natural Language Processing
    Portfolio Management
    Technology Strategy
    Trading Research
    XBRL

    RSS Feed

Picture

WHAT WE OFFER /  WHO WE SERVE /   ABOUT  /   INSIGHTS  /   ​CONTACT US  /   ​CASE STUDIES

OUR OFFICE

SAY HELLO

If you are interested in working with us or ​just want to say hello simply drop us a line!

Email: info@investmentscy.com
Phone: ​+1 (917)-512-9523
​
RESERVE TIME

OUR INSIGHTS

Stay up to date with our latest content from our insights page.
Subscribe To Our Insights
  © 2020 Investment Science, LLC  | ​ Venture Capital Funding  |  Legal Statement