Inaccurate data adversely impacts your company's decision making and revenues. Get end to end data cleansing services to enhance and enrich your data quality, helping you meet key business goals.
Remove dirty or inaccurate data to improve operational efficiencyOutsource your data cleansing needs →
25+Years of Experience
800+FTEs across 3 locations
25MRecords cleansed annually
Web crawlers and programmable bots collected person name, company information, phone numbers, location, etc. from 100+ regional search engines.
Accurate contacts helped the client to optimize the lead conversion funnel.
Lead Generation Company, USARead Case Study »
Adhering to meticulous process to structure, standardize, validate, cleanse and enrich millions of hospitality records comprising of multiple fields.
Quality check through programmable macros and scripts to ensure data integrity.
Data Aggregator Company, USARead Case Study »
Building reliability and credibility into your business data for enhanced efficiencies and profitability.
Increased data generation and digitization of documents makes data cleansing an imperative for organizations. Cleansing the past, present and future customer data has a clear and strategic impact on your sales and marketing efforts – and the bottom line.
We leverage data wrangling tools and scripted batch processing for faster delivery of time-critical data used for customer acquisition and information management. Our data cleansing services are customized and scalable.
The best-in-class data cleansing services at the most reasonable costGet in touch for pricing details →
Director – Marketing & AdvertisingMedia & Publishing Firm, USA
What is data cleansing and why is it important?
Data cleansing is as important as cybersecurity and information security for small and medium-sized companies and Fortune 500 businesses as well. In today’s rapidly changing marketing landscape dirty data is a huge problem with severe effect on everything right from customer service, compliance, marketing, ROI, and revenues.
Data cleansing process is to identify incorrect, incomplete, inaccurate, or irrelevant data from a record set, table, or database. These are then modified, replaced or deleted while ensuring that all such issues are taken care of automatically in the future interactively with help of data wrangling tools, or as batch processing through scripting. Data cleansing gives your company, correct, consistent and actionable data for insights which help you make confident decisions, boosts sales and marketing efforts and underpin the success of your business initiatives.
What happens during the data cleansing process?
With increasing number of industries relying on data have realized the importance of data cleansing and also that the only way to achieve maximum operational efficiency is to reduce all kinds of data errors and inconsistencies. In order to have all customers’ past, present and future data proves really helpful to your company, you need to ensure that below mentioned data cleansing steps are followed.
Businesses looking out to make a competitive mark while staying atop concurrent market dynamics not only require clean data, but also should know where to find it and how it all ties together.
How much does it cost to cleanse my data?
The cost of cleansing your data depends on various factors including number of records, age of the records, location of records, number of fields associated with each record, degree of cleaning required and many more. However, the cost you pay for cleansing your data is too less, as compared to the costs you incur by not cleaning a record set, table, or database. Let’s see how.
Cost of Duplicates: $1,000 to $3,000 for de-duping 10,000 records
With industry standard of 5-10% duplicate leads; a sales rep working for $30 an hour gets through 4 leads every hour – and costs your organization $3,750 to $7,500 in un-necessary sales time. By de-duping the database you are actually saving: $2,750 to $4,500 in unnecessary sales costs.
Cost of Missing Data: $0.50 to $5.00 per record to append missing data
Going by industry standard of 30% database with missing values, data appending might cost you $1,500 to $15,000. However, decreased email performance and time wasted in qualifying prospects due to lack of email personalization and segmentation, and of course the operational expenses incurred can hit your sales and marketing efforts real hard where it pains.
Cost of inconsistent or incorrect data: $0.05 to a $1.00 to validate and clean a record
For 10,000 records spending $500 to $10,000 is much cheaper as against potential loss of sale that can cost your company more than $10,000 per email not delivered/returned.
All these calculations nowhere include the embarrassment, cost of damage to the brand image and administration time wasted due to dirty data.
Do you offer a free trial?
We understand the sensitive nature of your data. We combine our domain knowledge, technology expertise and executional capabilities while adhering to the highest standards of data privacy and security to deliver best data cleansing services. Yes, we do offer free trial data cleansing project before you assign us the actual project – which we are sure you would.
Also before that, do not forget to browse through our resource library to learn how our data cleansing services has helped organizations across the globe to overcome data challenges and leverage it to improve operational efficiency.
How do I get started?
It’s pretty easy. Click here and fill in your details, our business development executive will get in touch with you shortly.
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