Partnering with the Flatworld Solutions (FWS) data cleansing and data management team allows all organizations to overcome challenges like these common scenarios -
Flatworld Solutions can help when you need specialized data cleansing services to improve data quality in all file formats and computer systems - including databases (digital, offline and online), social media data, CRM data (in-house systems and cloud-based systems such as Salesforce and Zoho), point of sale systems and omni-channel retailing data.
Working with FWS has been a great experience. They quickly learned our line of business, adapted to our requirements and has consistently performed well. They've also gone above and beyond their duty. They're reliable. A wonderful partner.
Spokesperson,Our data cleansing services help C-level executives and managers at all levels to eliminate poor quality data and ensure that decisions are based on consistent and accurate information. The FWS data cleansing team identifies, corrects and removes "unclean data" - inaccurate, inconsistent and corrupt data records in all file formats and locations (example address data cleansing).
A primary FWS data cleaning service is data deduplication to eliminate redundant data and reduce storage overhead expenses. During the last two decades, our ISO-certified outsourcing experts have helped more than 19,000 global clients. Our client list for data cleansing services includes Fortune 1000 companies as well as individuals, small businesses and private enterprises.
We employ a customer-centric outsourcing approach that is always customized to meet the specific scheduling needs, requirements and budgets of each client. Our workflow includes the following steps -
Definition of data cleansing requirements
(optional) - Delivery of a trial data cleansing project that establishes quality standards. After client approval of the test project
Service level agreement terms such as pricing and scheduling
Appointment of a Project Manager and allocating data cleansing tasks
Importing unclean data (Excel, CSV or Tab-separated text file format) into our cleansing system
Deduplicating data by identifying potential duplicate entries and eliminating them. This task is manually reviewed for mission-critical data
Exporting data in formats that include XML, Excel, PDF and others as needed
Quality check to monitor data cleansing accuracy and make any required revisions
Final delivery via the method specified by the client
Our high-quality data cleansing services are ISO-certified, adhere to international guidelines and are EU GDPR (General Data Protection Regulation) compliant. Here is a brief overview of the expertise offered by FWS -
As reflected by our work style and business practices, it is always easy to work with us -
FWS assisted a financial giant with quick and accurate invoice data entry services by leveraging 5 dedicated data entry specialists. This reduced their workload by 50% and helped them save 60% of their costs.
FWS helped a A U.S. based company to complete their cleansing and enrichment services for their existing Salesforce database in just 30 days.
Flatworld Solutions is a one-stop global outsourcing provider. In addition to data cleansing services, our international team of experts can help with specialized tasks such as visual analytics, industry analysis and packaging design services.
We also offer related data management support that includes data enrichment and data integrity audit services. Contact us today for a no-cost assessment and quote.
Decide in 24 hours whether outsourcing will work for you.
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Ensuring hygiene of existing data is done by scrubbing the old data and appending it with the latest ones. In some cases fixing errors due to inaccurate data entry.
A clean data helps business grow by accelerating decision making. On the other hand, bad data can cause chaos and can increase the overhead to attempt fixing.
In statistics, the hypothesis depends on pattern interpretation and it is only possible when you have clean data to work with. A process of removing or replacing a bad point in a dataset with clean ones.
