Data reliability, a challenge for asset managers
Real estate is a sector that produces and consumes a lot of heterogeneous data: market and trend data, environmental data, technical data, occupancy data, property asset operating data, energy data, financial and accounting data…
Data access capacities and formats are also plural: open data, private data, IOT platform data, protected, archived and often forgotten data, data to be maintained and enhanced, paper data or, on the contrary, ultra-defined digital models.
…to centralize and make reliable
Knowing and centralizing knowledge of your buildings is important, but in the process you also need to be concerned about the reliability of the data, as well as keeping it up to date.
Incorrect or concealed information on a single boiler can affect the energy score, and even cancel out the certification of an entire building, with all the consequences that this entails in terms of value.
During due diligence, the attention paid to the completeness and quality of information is exacerbated, as the buyer seeks to reduce his risks and the seller wishes to optimize his investment as much as possible.
If asset managers do not have full rental, financial or technical information, this can undermine confidence in the property and delay or even invalidate a sale-and-acquisition transaction.
A cumbersome, time-consuming process
The visit to the asset precedes an often long and laborious phase of gathering and structuring information to create the datarooms. Faced with documentation sometimes stored in regional warehouses in paper format in boxes, gathering information on a property can then take months for several qualified people. What’s more, it’s a thankless job, which discourages and demotivates asset managers.
Real estate EDMs have long played a part in making documents more readily accessible, but the reliability of the data stored in them often remains problematic.
An asset manager knows very well the rental status of a property and its charges, but the history of work carried out is often more complicated to obtain, and the building itself remains for many a black box in which it is difficult even to know essential constituent elements such as surface typologies, equipment, work carried out, components, etc.
However, these elements are essential for projecting the evolution of a property, generally over a 10-year period. Projections that are even more closely watched by potential buyers.
The real estate industry has historically had a culture of written documents, which has had the effect of obscuring knowledge by dispersing real estate information across a wide range of documents.
Results? datarooms that are difficult to complete and slow to set up
Feedback from asset managers during the sale-acquisition phase is abundant.
Cancelled deals, loss of value, legal complications, additional costs for advice and dedicated expertise, etc.
A lack of information about an asset can often result in sales lead times being extended by several months, sometimes even leading to a price reduction of around 1 to 2% of its value…
Greater knowledge, transparency, reliability and availability of data in the sale and acquisition process, and in the creation of datarooms, can considerably increase the level of trust, speed up transactions and limit risks. Prediction could soon supplant projections, and the entire real estate industry could be the better for it.
The Stonal platform: a booster
The Stonal platform integrates datalake and artificial intelligence technologies with real impacts on the liquidity of real estate assets.
Fast, controlled data collection
The platform can collect and organize vast quantities of real estate data from a variety of sources, giving potential investors access to accurate, up-to-date information on buildings, their history, their constituent parts, etc. To ultimately increase confidence in the property.
By way of example, OPH31 has decided to rely on the Stonal solution to digitalize its business. Thierry Besançon, General Manager, points out that with a completion time of just 9 months, the integration of 38GB of digital data and the processing of 5 tons of paper documents, the deployment has exceeded their expectations.
The artificial intelligence built into the platform can use this data to perform analyses and benchmarks of real estate assets. This saves time and reduces the costs associated with manual assessment and control.
Reliable, immediately accessible information to reduce risk and accelerate decision-making
The platform provides a secure environment for storing data, documents and plans for real estate transactions. Relevant information and documents can be shared seamlessly between parties, reducing risk.
Artificial intelligence can be used to assess the risks associated with a given real estate asset, such as market risks, regulatory risks, environmental risks and so on. What’s more, by analyzing market trends and historical data, AI can provide forecasts on the future evolution of real estate asset values, helping investors to make informed decisions.
In short, the Stonal platform can improve the liquidity of real estate assets by providing fast and accurate access to information, facilitating the matching of buyers and sellers, securing transactions and assessing risks. This can help speed up the process of setting up datarooms or carrying out due diligence for sale-and-acquisition transactions, while reducing uncertainty for the parties involved.
