PALADIN Framework logo

PALADIN Framework

PALADIN Framework logo
PALADIN Framework logo

PALADIN Framework


Customize your business with PALADIN! Powered by the IBM software Planning Analytics with Watson (TM1), PALADIN offers a flexible framework for integrated analysis, reporting, and planning. Providing common components such as P&L, balance sheet, liquidity and turnover for customization, its versatility equally allows for highly specialized solutions, addressing unique requirements efficiently.

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Streamline your TM1-based solution: Standardized technical modules integrate prebuilt customizable business content. PALADIN enables the generic construction of foundational structures in TM1, such as rights management, user management, authentication methods, ETL pipelines, and APIs for popular source and target systems. Based on these foundational structures, PALADIN allows for the implementation of highly performant systems with various business orientations.


As part of PALADIN, our Mailer is administered via a web-based GUI. Authorized users can automatically archive and/or send any number of reports through simple selection. The mailer exclusively uses TM1Web for this functionality. Archiving can be done on local drives, network drives, or via a SharePoint server. For sending, the existing mail server infrastructure of the company is utilized. An immediate send option can be integrated into existing reports.

PALADIN DevCompose

DevCompose4TM1 is a tool for synchronizing TM1 objects between different TM1 systems. It can be used to transport developments from a development environment to a production environment during operation without any risk or need for system restarts in either the source or target systems. This tool greatly simplifies the standardization of processes and rules. The laborious collection of updates and their deployment to test or production systems is eliminated.

PALADIN Bayes Forecast

Our predictive forecast utilizes stochastic models to predict future developments, surpassing the capabilities of traditional methods. The forecasts are based on historical data, but in specific cases, real-time systems can also serve as a data source. The predictions can be adjusted to account for unforeseen circumstances through human interventions and actions. Thus, forecasts become more accurate, action planning becomes more realistic, and overall business management becomes more efficient.

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