Lease Data Abstraction/
Lease Abstraction Services

With its range of lease abstraction services, DataEntryIndia.in provides real estate agents, property dealers, lease administrators and realtors with key business, financial and legal information stored in a commercial real estate lease. Our team of lease abstract experts aggregates relevant lease information to enable clients in managing a portfolio of leases with complete ease and accuracy. We draw out details from “dates and dollars” provision of a real estate lease such as commencement, expiration and renewal term along with rents, operating expenses, and square footages.

Aimed at helping global clients in easily and quickly reviewing pertinent lease details, our lease data abstraction services include creating a clear and concise master summary of relevant information along with referenced section headings

DataEntryIndia.in’s Broad Range of Lease Abstraction Services: An Overview

Offering a complete suite of lease data abstraction services, we provide an accurate overview of key business, financial and legal details from commercial real estate leases to support clients in making effective acquisition decisions. Our experts read, review and summarize lease information, while paying meticulous attention to all the provisions, financial obligations and other data.

Opting for lease abstraction outsourcing can help you gain easy access to key lease information from all types of leases such as retail, industrial, office or any other. Our experts research and draw out the following details:

Operational Data

Financial Data

Our lease abstract process includes the following steps:

Further, our team of Quality Assurance professionals review the summarized data to ensure utmost accuracy and precision.

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If you intend to outsource lease data abstraction to us or gather more information about our services, simply write-in to us at info@dataentryindia.in and our experts shall get back to you in the shortest possible time-frame.

Contact our experts today to start your Data Project.

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