Big data and commercial real estate

On Behalf of | Aug 14, 2015 | Firm News |

Entrepreneurs and investors in California may benefit from understanding more about how big data is changing the commercial real estate market. The recent advances with these applications has made critical aspects of the real estate industry less expensive, including assessing property damage, matching clients with the right properties and responding to a prospect’s concerns. Generally speaking, commercial real estate has become more transparent because of big data.

Under the current market conditions, big data has risen to the level of partner for many successful investors, owners, lenders and brokers. Investors are now making smarter choices by analyzing enormous public and licensed data sets with credit risk algorithms to perform risk assessment of various regions of real estate. It’s now easier for investors to assess a physical structure’s soundness, a prospect’s creditworthiness and the date of the last renovation. Big data applications also make it easier for individual investors to research a property’s financial history as well.

Some of these insightful applications are now being provided in smartphone apps by real-estate startups. Expediting feedback between prospects and owners can help aid negotiations for many commercial real estate transactions. Producing precise reports from data directly captured through interactions with prospects can help owners and investors make more profitable decisions going forward. The information provided by big data applications is also changing the way many buildings are managed as well.

Investors who need information about a commercial real estate transaction or proposal may benefit from consulting a lawyer. Legal counsel may be prepared to review the proposed agreement and help determine whether or not there are terms or provisions that can prove to be problematic for the future. Lawyers are often an effective resource for investors who are interested in enhancing their due diligence and reducing exposure to risk.

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