Open Data Portal
Data Integration & Access
The number of people using the internet has surged over the last years, with more than one million people coming online for the first time each day since January 2018. It’s not just internet users that have been growing so has the data that is available. By 2020, there will be around 40 trillion gigabytes of data (40 zetabytes). But the vast quantity of big data has no value unless it is tagged or analyzed.
When developing the open data portal, the question was if we could combine data from outside sources as well as from the ‘inside’ of the company. Providing a dashboard for investors offering an overview of all small cap companies categorized in sectors and industries. In one overview the investor can search for companies by keywords, dive deep into the financials of each company, read what analysts have to say and form an idea how the company is trending based on news articles provided.
The challenge was to combine and present the general ‘free to use’ information from sources like Yahoo Financial and Bloomberg with specific data from Quote Media and with institutional research reports from specialized analysts from the client.
Seecago used the selected internal and external data sources and pulled the relevant information from it. By creating relationships amongst the data sources and combining them we were able to present the relevant information in one dashboard from 6,000 companies for self directed small cap investors, creating the first comprehensive platform ever to combine company news releases, SEC filing, detailed corporate profile, financial data, securities data, sector reports, research reports with price target and fundamentals analysis, ChannelCASTS (HD video webcasts) and the company’s corporate presentation.
Getting value from the data
When creating an open data portal, whether it is a publicly accessible website aiming at a specific target group or an internal company system, Seecago understands that it is not about collecting as much data as possible, it is about getting value from the data collected and presenting the data in a way that is meaningful and easy to interpret.
- Create transparency and insights
- Improved efficiency and effectiveness
- Combining data sources
- Showing patterns in large data volumes
- Accessibility of large data volumes
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