Three ways to master the complexities of data in real estate financial reporting

Abstract

Considering the huge number of reports you need to maintain, the amount of time spent on this essential reporting starts to add up. Do you find that you have to either outsource some of the work to expensive consultants, or just put off those reports that aren't necessary right away and run the risk of not having them when you need them? And what about report design? Are you spending time creating your own formats, which then have to change when your organization acquires a new property, or switches REITs, or merges with another company? Find the "Needle in the haystack" - quick answers to any errors After creating your reports, you may discover an error. In which system did it originate? Which data dump had the source noted on it? After some time, you finally discover the source of the data, but now you have to go back and rework your reports and rerun them. The right approach to accelerating insights and reporting Using the appropriate tool for the job is an approach we take for granted, but in the case of financial reporting for real estate, it can make a tremendous difference. Consolidating data across multiple properties or investments means the reporting tool would have understood your specific real estate and property management terms and how the data was stored in various systems. What if the reporting tool already knew the majority of the report layouts you needed, or was built for quick ad hoc report creation without relying upon a power user or an IT consultant? And if the data in that report could be refreshed at any time, without requiring any rework of formatting changes? If you are spreadsheet user, what could be better than a reporting tool that provided the data you needed inside a tool you already use? Don't struggle with your data and reporting anymore. With the help of insightsoftware reporting and analytics solutions for real estate and property management, you can simplify and accelerate your reporting, master any data complexities, and meet your deadlines on time.