User statistics

One thousand, seven hundred users, one hundred eighty-four banks, downloaded the FIBO Data Model. This article analyzes downloads by data modeling tool, institution type, and geography. The impressive size of the user community influences the data model and by extension the Enterprise Data Management Council (EDMC).

Daily downloads

The chart shows the daily number of users submitting the FIBO Data Model Download form. The orange line of totals remains remarkably linear, climbing at around twenty new users per week.

FIB-DM daily downloads (column chart)
FIB-DM daily downloads (column chart)

The columns show daily downloads including zero activity on weekends and other days. Spikes often happen when there are FIB-DM news or publications, like the DAMA International presentation.

While there is no poll data, feedback suggests that data architects find the FIBO model from Google Search, LinkedIn, DAMA International, the EDM Council, and mouth to mouth, recommendations. The Financial Industry Business Data Model is already outpacing competing vendor industry models, and there is no plateau in sight.

Financial Institution Type

FIB-DM institutional downloads
FIB-DM institutional downloads

Financial Markets are the major FIBO content area with ontology modules for Securities, Derivatives, and Indices in production, and Corporate Actions, Collective Investment Vehicles (Funds), and Market Data in development.

Investment Management/Servicing, Brokerage, and Financial Markets constitute 17% of institutional downloaders. Three quarters are Banks and Credit Card Companies. Pointing out the large banking user base, I am asking to prioritize and accelerate banking content like Loans, in discussions with the EDMC. However, this requires more active participation from banks in the FIBO content groups.

172 Banks downloaded the FIBO Data Model

An abstract world map of Banks who downloaded the FIBO Data Model.
Banks downloading FIB-DM, the FIBO Data Model

The global map depicts their icons within the regions. The underlying list compiles from the form submission email or company field.

Data Modeling Tools

PowerDesigner, ERWin, and Sparx EA are the data modeling tools most widely used with FIB-DM. The largest segments, PowerDesigner and ERWin, are also the most widely used tools in the financial industry.

FIB-DM Data Modelling Tools (pie chart)
FIB-DM Data Modelling Tools

The FIB-DM Masterfile is a PowerDesigner Conceptual Data Model. Hence 40% of users use that tool. However, most other data modeling tools, including ERWin, can import native PowerDesigner model files.

When the FIBO Data Model was released in the fall of last year, some disappointed Sparx Enterprise Architect and IBM InfoSphere Data Architect users told me that their tools cannot import the PowerDesigner model. The statistics made me realize that Sparx, IBM IDA, comprises 20% of modelers interested in the industry standard. I created FIB-UM, the universal model, a UML-XMI download that works. This is a prime example of user statistics driving product development.



Users from all continents (except Antarctica) downloaded the model.

FIB-DM downloads by region
FIB-DM downloads by region

The chart breaks down 210 FIBO Data Model users by region. European banks made the most downloads. The “Global” slice comes from multinational banks and large global consulting companies.

I like the diversity and global interest in the FIBO data model. There should be even more users from South America and Africa!

East Asia is still unrepresented. Just a few users from China and Japan and still no downloads from Korea and Taiwan!

Data Source and quality

The download form log is the underlying data for statistics.

Download form

When FIBUM, the UML-XMI version came out a user on the Sparx EA forum asked: Why do I have to provide my email in order to download the model?

  1. The secure download link sent via email limits the proliferation of the model file, including defective or modified versions across the web. (Bots can’t reach the encrypted model file).
  2. I send updated download links and the newsletter to the email list.
  3. Freemium to Premium, I individually contact banks that catch my attention. Sure commercial licensees are funding the Open Source model. I want institutional users to upgrade to the Full Model.
  4. The domain part of the email address identifies the company.

Email address

The domain part of your office email, right of the ampersand, is the URL that uniquely identifies your company. The full email address also is the primary key for the download log. In other words, I can remove duplicates from multiple form submissions.

Alas, almost a third of downloaders use a generic (e.g. Gmail) address. Many users want to check out the model at home first or must do so because their firewall prevents file downloads. In these cases, the form’s company field helps to classify institution type and country. However, there remain 22% of all submissions with unknown company types or country.

Non-institutional downloads, mostly consulting companies constitute 37% of downloads. They range from individual contractors, small and medium-sized companies to large global IT and Business Consultancies.

There can be double-counting when a user submits the form twice, with her office and personal email.

Other modeling tools

There are four hundred form submissions with the data modeling tool stated as “other”; half of these have a blank moment field. I would think that many were downloaded by mistake, but so far only one email requested “remove” from the newsletter.

In summary, only two-thirds of submission records are high-quality data to aggregate region, modeling tool, and institution type. However, there is no indication that the charts would change substantially if submission data was complete.

Downloads vs. users

To the best of my knowledge, there are around Two hundred fifty active downloading users. That is the total number of form submissions minus remaining duplicates and one-off downloads.

Some very large banks and consultancies had several employees downloading the model. I usually connect them, so they can leverage migration and other work already done.

From meetings with banks, I learned that many downloaders put FIB-DM on ERWin ModelMart, the PowerDesigner or another repository, or an intranet fileserver. It is not unusual for me to find half a dozen data modelers at a bank attending the FIB-DM overview meeting.

More users may have received the data model file from a colleague or associate as an email attachment.

I estimate that one active downloader creates on average 2-3 active users.

That puts the total of active FIB-DM modelers between 500 and 750.

Appeal for data quality


  1. Use your office email in the download form or to subscribe to the newsletter.
  2. Long-term contractors, or personal emails, put the FI you work at in the company field.
  3. Take care to specify your “other data modeling tool.”
  4. Use the newsletter subscription form to update your info!


One thousand, three hundred users, one hundred seventy-two banks downloaded the FIBO Data Model. There are 1,112 active user emails subscribing to the FIB-DM newsletter.

The impressive size of the user community influences the data model and, by extension, the Enterprise Data Management Council (EDMC).

The community is global with users in Europe, Asia, Africa, and the Americas.

Thanks for reading. I appreciate your feedback.

Jurgen Ziemer,

Appendix 1, FIB-DM Download Banks

ABN AMRO, AK BARS Bank, APS Bank, Absa, Abu Dhabi Islamic Bank, Affinity Federal Credit Union, Akbank, Al-Rajhi Bank, Allianz Bank Malaysia Bernard, Allica Bank, Alpha Bank, AmeriCU, American AgCredit, Arab Bank, Arab bank, Arion Bank, Asian Infrastructure Investment Bank, BBVA, BMO, BNP Paribas, BNY Mellon, BOK Financial, BanBajio, Banco Caja Social, Banco Supervielle, Banco del Progreso, Banco del Sur, Bank AL Habib, Bank Indonesia, Bank Maskan, Bank Muscat, Bank Nationale Canada, Bank OZK, Bank Of America, Bank al Etihad, Bank of China, Banque Du Caire , Barclays Wealth, Borner Banca, Brown Brothers Harriman, CAF, CDG Capital, CIBC, CaixaBank, Capitec, China International Capital Corporation, Circulo de Credito, Citi, Citizens Bank, Coast Capital Savings, Commonwealth Bank of Australia, Community Preservation Corporation, Conexus Credit Union, Coppel, Cornèr Banca, Credicomer, Credit Suisse, Cross River Bank, DBS, DIGIPAY, DMCard, DNB, Danske Bank, Davivienda, Deutsche Bank, Digipay, Discover, EMPAYS PAYMENTS SYSTEM PVT LTD, ETHD, Earnest, Ecobank, Emirates NBD, European Investment Bank, Export–Import Bank of the US, FE Credit, FHL Bank of San Francisco, FMO, Fannie Mae, First Citizens Bank, First National Bank, First National Bank of Pennsylvania, First Rand, Fulton Bank, Fulton Financial Corporation, GMF, Gazprombank, HDFC Bank, HSBC, HawaiiUSA Federal Credit Union, Holm Bank AS, IADB , ING, IOM, Illimity, Innovation Credit Union, Itau Unibanco, Itaú Unibanco, JPM Chase, Jyske Bank, Karnataka Vikas Grameena Bank, Kiwibank, Kleinwort Hambros, Komplett Bank ASA, Liberis, Liberis Finance, Lloyds Banking Group, MTS, Macquarie, Mashreq, Metro Bank, Minbank, MoneyExpress, Morgan Stanley, National Bank of Canada, Nedbank, Nomura, Northern Trust, OCCU, OTP Bank, OceanFirst Bank, Oldmutual, PayMaya, PayPal, Peleman, People’s United Bank, Qatar National Bank, Quicken Loans, RBC, RSLFC, Raseedy, Reserve Bank of Australia, Rightvi, Rivermark Community Credit Union, Royal Bank of Canada, SBL, SEB, SVB, Sagicor Group Jamaica, Sallie Mae, Santander, Saturn Bank, Saxo Bank, Sbanken, Sberbank, Scotiabank, Sicredi, South African Reserve Bank, Standard Bank, Standard Chartered, TP Bank, Tejarat Bank, Toyota Financial Services, U.S. Bank, UAP/OM, UBS, UCPB, UOB, Union Bank, United Amara Bank, VBT, VIB, VTB, VUB, Vietnam International Bank, WLB, Webster Bank, Wells Fargo, WesBank, Westpac, Wintrust Financial, Worldpay, Zürcher Kantonalbank

Appendix 2, FIB-DM Countries:

Albania 1 Angola 1 Argentina 5 Australia 28 Austria 1 Bangladesh 1 Belarus 1 Belgium 11 Bermuda 1 Brazil 16 Bulgaria 1 Canada 54 Chile 1 China 15 Columbia 3 Croatia 1 Cyprus 2 Czech Republic 3 Denmark 6 Dominican Republic 1 Dubai 1 Egypt 3 El Salvador 1 Emirates 13 Estonia 1 Ethiopia 2 Finland 1 France 18 Germany 27 Ghana 1 Global 97 Greece 2 Honduras 1 Hong Kong 5 Hungary 4 Iceland 1 India 44 Indonesia 11 Iran 12 Ireland 3 Israel 1 Italy 5 Jamaica 2 Japan 12 Jordan 9 Kenya 2 Korea 2 Luxembourg 7 Madagascar 2 Malaysia 2 Malta 2 Mexico 13 Morocco 1 Nepal 1 Netherlands 19 New Zealand 9 Nigeria 1 Norway 6 Oman 1 Pakistan 1 Peru 5 Philippines 2 Poland 3 Portugal 4 Qatar 1 Romania 1 Russia 13 Saudi Arabia 5 Singapore 17 Slovakia 4 South Africa 30 Spain 6 Sweden 19 Switzerland 14 Thailand 1 Tunesia 1 Turkey 10 UK 72 Ukraine 2 USA 212 Venezuela 3 Vietnam 13 Yemen 1