Dynamic property markets call for sophisticated FP&A systems

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Common challenges

Data integrity and collaboration
Property planning involves different departments with many moving parts. When data isn’t maintained effectively, it stifles collaboration and data integrity.
- Poor data quality
  Any process that involves multiple different departments and people requires a delicate balance of data integrity and useability. The more complex the workflows, the greater the chance both components will fail. This will ultimately degrade the quality of the information used by decision-makers in your organisation.
- Wasted resources
  When data integrity is lost, team members are forced to spend time and resources on low-value tasks like data reconciliations that don’t move the needle for the business. Not only is this detrimental to growth prospects, it can harm morale and productivity when teams are forced to perform onerous and tedious tasks.
- Granular data management
  Cubewise and IBM Planning Analytics / TM1 offer a suite of solutions that help organisations embrace their complexity and manage data at different levels of granularity. Pulling all data into one dynamic structure reduces the need for reconciliation and improves data integrity which, in turn, improves decision making.
Dynamic market conditions
- Version control challenges
  Without a dynamic Financial Planning & Analysis (FP&A) system, simple tasks like changing floor plan and master data such as leasing and cost assumptions can be prone to error. Furthermore, manual version control opens the door to mistakes and limits operational flexibility.
- Reliance on spreadsheets
  Users typically export data to spreadsheets for modelling, which greatly increases the complexity of the planning model and creates a range of data integrity issues. Spreadsheets are simply not set up to handle the complexity of these models and this constrains the insights and planning capabilities that can be unlocked.
- Single source of truth
  Cubewise and IBM Planning Analytics / TM1 enable complete version control from master data to planning parameters all in one tool. This creates a single source of truth and gives users full control of the planning process in a way that harnesses organisational complexity to make smarter and more nuanced decisions.
Siloed planning systems
- System integration challenges
  Property management companies must integrate various planning systems, including rental projection, investment property calculations and CAPEX considerations, if they are to make holistic decisions. Without the right technology they remain prone to error and difficult to manage, creating a wide range of operational problems.
- Incomplete information
  When planning systems aren’t effectively integrated, decision-makers are forced to plan from a place of incomplete information. This creates significant limitations as the reaction to complexity can sometimes overcompensate for integration challenges.
- Unified planning
  Cubewise and IBM Planning Analytics / TM1 offer a single source of truth for the integration of different planning systems. This enables every function to work at its best and allows decision-makers to make holistic decisions that take into account every factor of the property management lifecycle.

Poor data quality
Any process that involves multiple different departments and people requires a delicate balance of data integrity and useability. The more complex the workflows, the greater the chance both components will fail. This will ultimately degrade the quality of the information used by decision-makers in your organisation.
Wasted resources
When data integrity is lost, team members are forced to spend time and resources on low-value tasks like data reconciliations that don’t move the needle for the business. Not only is this detrimental to growth prospects, it can harm morale and productivity when teams are forced to perform onerous and tedious tasks.
Granular data management
Cubewise and IBM Planning Analytics / TM1 offer a suite of solutions that help organisations embrace their complexity and manage data at different levels of granularity. Pulling all data into one dynamic structure reduces the need for reconciliation and improves data integrity which, in turn, improves decision making.

Harness the complexity of your property management planning

Let’s tackle your challenges together

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