Data Entry Services in Philippines
Choose us for highly efficient, accurate, and cost-effective data entry services
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Every organization relies on accurate and consistent data. Clean data leads to improved marketing, accurate performance analytics, and ultimately, elevated company performance.
At Outsource2india (O2I), our data cleansing services help businesses who need assistance with data quality problems including -
Irrespective of an organization's database systems or file formats, O2I can cleanse all types of data and help you improve poor data quality. These include (but are not limited to) the following -
Compiling huge databases of customers and contacts through data verification and cleansing duplicate entries are removed. Outsourcing data cleansing services to O2I minimizes instances of information being repeated.
O2I offers other services related to data cleansing including -
When you outsource data cleaning services to O2I, you gain access to skilled data entry professionals, robust infrastructure and a seamless workflow that includes the following steps -
Define data cleansing requirement based on client inputs
Deliver a trial project to set quality and price expectations (if required)
On approval of trial, draft SLA (finalize project completion time, required resources, pricing etc.,) with the client
Designate the required resources, allocates tasks and appoints a Project Manager
Unclean data from your system is imported into our cleansing system in an Excel, CSV, or Tab-Separated Text file format
Identify potential duplicate entries. For mission critical data, these results are manually reviewed and the database updated accordingly
Export data in numerous formats (Excel, XML, PDF, or as required)
Quality Check conducted to ensure accuracy
Required output is delivered in the client's method of choice
The benefits of outsourcing data cleaning services to O2I include a high operational cost savings and timely delivery. Other benefits include but are not limited to the following -
CASE STUDY ON DATA MINING TO EXTRACT CONTACT INFORMATION FROM LINKEDIN
Outsource2india provided a Swiss manufacturer with data mining services. They required contact information data mining services and had prior experience in data mining several social media channels especially LinkedIn.
Read the case study
CASE STUDY ON BUSINESS JOURNAL CATALOG INDEXING
Outsource2india developed a business journal indexing solution for a leading US based organization that improved their reputation as an easy-to-use business journal in the reader's eyes.
Read the case study.
I am more than pleased with the way the project has turned out, & with the overall experience itself. I have been raving about your company to everyone I know, & I will definitely be sending you more projects in the future.
CEO,Contact us to outsource database cleaning services and get a FREE quote within one business day. O2I supports your entire data entry, data processing, and data management requirements.
Outsource2india's outsourcing services include Data Management, Creative Services, Engineering services etc. A leading ITES (IT Enabled Services) provider, we empower clients around the world to achieve business transformation and growth.
Decide in 24 hours whether outsourcing will work for you.
Have specific requirements? Email us at: data.info@outsource2india.com
Choose us for highly efficient, accurate, and cost-effective data entry services
Read more
Key Differentiators
Case StudiesDecide in 24 hours whether outsourcing will work for you.
Have specific requirements? Email us at: data.info@outsource2india.com
No.6, Banaswadi Main Road, Dodda Banaswadi, Bangalore - 560 043
Corporate Court, #15, Infantry Road,
Bangalore - 560 001
Lucita Building Lapu Lapu Cr. Sobrecarey Street, Davao City 8000
116 Village Blvd, Suite 200, Princeton, NJ 08540
Data cleansing is the process of going through all the data within a database and updating or removing incomplete, incorrect, duplicated, or irrelevant information.
Data cleaning in ETL, also called data scrubbing, deals with detecting and removing errors and inconsistencies from data to improve the quality of the data.
