Data Cleansing

Specialized data cleansing services that optimize your data quality to transform it into a high performing business asset.

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Robust data cleansing services for enriched & standardized data

As one of the best data cleansing companies, our customized and scalable data cleansing solutions ensure the accuracy of your email lists, CRM database, and B2B Database through constant validation and enrichment.

Effective use of automation, tools and technologies empowers us to clean up large pools of chaotic datasets collected from disparate sources.Our data specialists’ de-duplicate data, normalize irregularities, add missing values, delete erroneous values, remove outliers etc. to prepare ML ready data for running complex algorithms and analytics.

We use structured workflow and multiple quality checks for consist delivery of clean, structured and classified data to artificial intelligence (AI) companies and Machine learning (ML) startups.

40 %

Cost Reduction

24 hrs

Faster Turnaround

500 +

Satisfied Clients

1000 +

Skilled Data Management Experts

99 %

Accuracy

25 +

Years Experience

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Case Study

Discover our Data Cleansing Works

CRM database updation for an IT Company enhanced customer experience

Client database was validated, updated and enriched to make it accurate, comprehensive and high performing to enhance customer experience

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Data update for academic analytics company improves brand credibility

Large and diverse volume of data was verified and validated through web research to enhance database accuracy, build brand credibility and increase performance

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Data verification of investment portfolios to support government bids

Accurate verification and enrichment of financial business data built robust investment portfolio to support government agencies bring in Foreign Direct Investment (FDI).

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Data Cleansing Techniques

Data Verification Process

Data Verification/Validation

Data validation, the key step in our data cleansing process, removes inaccuracies before using it to strategize or compile it with the master database of your company. Our data validation services is a series of cross checks like web research and verification across data sources.

As a leading data verification company, we use manual, semi-automated and automated processes and methodologies to validate your B2B database, Salesforce, ERP, CRM and other business related critical-information databases. We verify or validate data against internal as well as external sources and update outdated or missing values precisely.

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Data Enrichment & Enhancement Process

Data Enrichment & Enhancement

As one of the leading data enrichment companies, we enhance the quality of your data by adding information that is complete, correct, and current. Our data enhancement experts add demographic, financial, geographic values drawn from online or third-party data sources to enrich your customer, Sales, CRM and marketing database.

Our data enrichment services significantly increase your organizational competencies and make your data ready to be used to formulate marketing, sales and customer service strategies. As part of our data appending services, we maintain your business-critical database and keep it up to date by removing duplicates, standardizing address data etc.

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Data Deduplication Process

Data Deduplication

Duplicate data in your database increases the cost of data storage and create noise – negatively impacting effective decision making and analysis. Our data deduplication service is a combination of data merging, data matching, data comparison, and data purging activities; to remove duplicate records from all types of file formats and databases – digital, online and offline.

We dedupe redundant data, improve data quality and make it clean and lean. Our data deduplication experts identify and remove duplicate blocks within datasets of any size and complexity by using a combination of manual techniques, rules, scripts and bots.

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Data Standardization Process

Data Standardization

Data standardization involves bringing together data acquired from different formats into a common database to make it structured and consistent. Standardized data aids easy tracking and collaborative research. A rather cumbersome and time-consuming task, if addressed at your end, our data cleansing experts ease your pain and give you data that is smooth and easy to operate.

Our data standardization services are customized and adheres to formats dictated by your business need.

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Benefits of Our Data Cleansing Services

Data Accuracy

Accuracy

Identify and remove inaccurate and irrelevant details to maintain data accuracy.

Data Integrity

Integrity

Reduce inconsistencies, eliminate errors and perform referential integrity checks.

Data Cleanliness & Correctness

Cleanliness & Correctness

After cleansing and addressing outliers, results are inspected to verify correctness.

Data Completeness & Consistency

Completeness & Consistency

Regular data scrubbing to boost consistency & reliability of your company’s data.

How Data Cleansing Helps Your Business Operations Grow

Clean data drives effective decision making, analysis, strategies and increases productivity. With clean and well maintained data you spend less time on fixing errors and focus more on revenue generating activities. It increases the ROI of any marketing campaign or promotional activity.

Improves Productivity

Outsourced data cleansing services ensures your data remains clean and well-maintained and, thereby increase efficiency.

Better Analysis

Our experts clean up your database and empower you to do correct and quick analysis for better decision making.

Saves Time and Money

Working with cleaned data you don’t waste time and resources on invalid contacts and prospects.

Increases Revenue

We help you with up to date and reliable data for effective analysis and decision making, thereby increasing revenue.

Quick Decision

Clean and enriched data helps in quick business decisions which are based on accurate and consistent information.

Minimize Compliance Risk

Clean and organized business data empowers you to keep a tab on data security and avoid breaching GDPR.

Our 4 Step Data Cleansing Process

Your insights and analysis are only as good as the quality of your data. We help you schedule, monitor, and manage data cleansing and enrichment to analyze it faster and have more confidence in your data.

data collection and analysis

Collect and analyze data

Import dirty data and analyze to identify the data format, inconsistent records and check for data glitches present in the database.

data cleanup and data deduplication

Data cleanup & de-dupe

Eliminate duplicate and inconsistent values to resolve redundancy in the database, done manually for critical customer data.

database validate and verify

Validate & verify

Once the data is de-duplicated and validated, the information is standardized to a common format for easy integration and analysis.

regular monitoring and tracking

Monitoring and tracking

Regularly monitor data cleansing accuracy and make any required revisions on real-time basis for ongoing data management.

7 Best Practices to Cleanse Sales Lead Data
Related Blog Article 7 Best Practices to Cleanse Sales Lead Data

Accurate marketing data is the key to actionable sales insights, and drives customer engagement. Its impact on lead conversion and accuracy of sales forecast ensures profitable growth.

Read full post →

Frequently asked Questions

 

What is data cleansing and why is it important?

Data cleansing is the process of identifying any incomplete, incorrect, inconsistent, irrelevant or duplicate data in a dataset and rectifying the same so that the data gets clean, correct, consistent and usable. Data is valuable asset that defines the growth of business; therefore, it needs cleansing as it moves across the organization. Good and clean data helps with decision making, analysis, strategies and increases productivity. A well-maintained clean data is a boon to any organization. With clean data you spend less time on fixing errors and focus more on revenue generating activities. It further helps strengthen your customer segmentation and target your prospects in a more effective way apart from keeping your data compliant to GDPR.

What data cleansing methods do you use?

Our data cleansing techniques include the following:
  • Data Verification/Validation – Data is checked/verified for accuracy and inconsistencies after data migration is done. Data is also validated using different methods like research, cross-checks and even authenticated against internal and external sources.
  • Data Enrichment – Quality of data is enhanced by adding additional value to it in terms of information.
  • Data Deduplication – Removal of duplicate records to remove data clutter
  • Data Standardization – Data is made structured and consistent.
How does data cleansing work?
Data cleansing works by identifying errors and inconsistencies in your dataset and rectifying them so that clean, reliable and updated data is available for effective business processes thereby increasing productivity and revenue.

What happens during the data cleansing process?

The process of data cleansing can’t be really structured; it depends on the level of cleaning your data requires and the size of your data. While Excel or Google worksheet can be used for small datasets; for larger ones you may require cloud-based software. Once you have imported data next you need to look for problem areas. You need to figure out whether your data needs correction, standardization, verification, validation etc. Based on the requirement, different techniques are used to clean the data. And lastly a good quality control ensures that data is ready for your applications or fits your production requirement.

How much does it cost to cleanse my data?

The cost of cleaning your business data depends on various factors including number of records, number of fields in each record, age of the records, location of the records, degree of cleaning required, and many more. Providing a fixed cost for cleaning up your data, or an average cleansing cost-per-record is not possible; but determining the impact of dirty data on your business is possible. Bigger the impact, the more you should spend for accuracy of your business data.
 

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