XBRL a global standard for exchanging business information. It is already extensively used in the US and in many other countries around the world where stock exchange listed companies have to file their reports with the SEC in this format. In Australia many companies are already filing XBRL based report and legislation for mandatory XBRL filings of corporate financial reports is currently under discussion.

XBRL is a derivative of XML, a widely used format used for storage and exchange of data on the internet. XBRL’s use is intended to standardise financial reporting and improve the quality and comparability of business information.

The Managility Adva solution automatically extracts the relevant financial data from documents filed by companies with the regulative authorities and financial exchanges and makes them available through an advanced business intelligence framework.

As opposed to traditional solutions in this space the framework does not just provide a solution to analyse data but offers extensive options to interact with the data for example write back data for forecasting, changes in the model strucutures e.g. the simulation of adding a new business unit or the acquisition of an entity as well as the implementation of own calculation models.

This is available either as an on premise solution or hosted by Managility as a cloud solution and can be tailored to your specific needs.

This approach completely avoids manual rekeying of financial reports with the related data quality and consistency problems. Users are provided with a variety of business modelling, forecasting and unparalleled analysis options: from predictive analytics, simulations and goal seek as well as sector and portfolio comparisons. Moreover the solution facilitates building typical financial models used by analysts around the world to assess company valuations, from investment banks, sell-side brokers or buy-side fund managers (Equity or Credit), advisory boutiques, corporate finance, consulting or hedge funds (M&A accretion/dilution models, M&A arbitrage, Leveraged finance: cash flow models like DCFs, LBO models and screens, cash-flow waterfalls for distressed debt valuation, Altman Z-score, comparable multiples). In addition the solution can integrate any external data from pricing information, news, and analysts’ consensus numbers.

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