MeLLmo, the developer of business data visualization platform Roambi, has raised $10 million in new funding. The startup declined to name its investors in the round but revealed that to date, MeLLmo has raised a total of $20 million in funding.
Roambi is meant to allow business professionals to access visualized data from anywhere. Roambi’s website and iPhone and iPad apps allows for data in spreadsheets and documents to be easily viewed on both the web and mobile platforms in customizable charts and graphs.
Roambi users simply upload their data from Excel spreadsheets, Google Spreadsheets, HTML table data, CSV files, and Salesforce CRM reports to the online Roambi Pro Publisher. Roambi also support uploads of data from business applications including those from IBM, Microsoft, Oracle, and SAP. After the data is downloaded, you can select a pre-designed template to deliver the data (i.e. pie chart, graphs etc.). Once published, the data transforms into interactive visualizations for the iPhone and iPad.
Roambi Trends identifies and visualizes trends in data and offers data comparisons across whatever period a user chooses – years, months, even minutes; users can easily focus on specific time periods by sliding the dateline at the bottom of the graph. CataList view organizes data into hierarchical, categorized lists with the ability to drill down to into detailed summaries, as well as simultaneously compare or analyze different sets of data.
For enterprise users, Roambi offers both a Pro version, which is a secure, hosted service that connects mobile; and Roambi ES, a secure, on-premise server solution. As we’ve written in the past, the view of the data within Roambi’s app is impressive as data-filled spreadsheets are automatically turned into interactive graphs and charts which allow you to easily understand the information that’s being delivered.
Within graphs, you can also delve deeper into certain data points by simply touching the screen. And the app itself intuitively stores various charts according to subject matter and category, making it easy to access various visualizations quickly and efficiently.