Hire Experts to Clean Your Data Professionally
Data Cleansing Services
Are inaccurate, poor, and duplicate datasets turning your business decisions into a chore?? Are you facing difficulties standardizing your business data even after dedicating large amounts of time and resources? The answer is to let experts take care of validating, enriching, and de-duplicating your organization’s data with data cleaning services.
Our Services
We Provide Best Services
Lorem ipsum, dolor sit amet consectetur adipisicing elit. Voluptatibus, consectetur
World Class Innovation
Lorem ipsum dolor sit amet elit consectetur adipiscing vestibulum.
World Class Innovation
Lorem ipsum dolor sit amet elit consectetur adipiscing vestibulum.
Marketing Features
Lorem ipsum dolor sit amet elit consectetur adipiscing vestibulum.
Marketing Features
Lorem ipsum dolor sit amet elit consectetur adipiscing vestibulum.
AI best generation
Lorem ipsum dolor sit amet elit consectetur adipiscing vestibulum.
AI best generation
Lorem ipsum dolor sit amet elit consectetur adipiscing vestibulum.
Express Analytics’ Approach
Why Does Your Business Need Professional Data Cleaning Services?
Having dirty data in your company can lead to making wrong decisions according to that data, and you will be spending money on marketing efforts that could have fewer budgets if you had already cleaned up your database.
However, finding the top data cleaning companies to clean your data is a complicated task. However, you can make things simple by contacting a dedicated data cleaning service provider like Express Analytics, which provides 100% assured services.
Steps to improve Data Quality
-
Data Cleansing
- Remove Duplicates: Keep 1 Latest Customer Record (Merge/Delete)
- Fix Invalid Emails: Correct the Email Domains and Top-level domains
- Handle Missing Values: As Customers are from the USA, the Default country can be “USA”
- Remove Invalid Foreign Key Entries: If Sales tables refer to customer_id, if customer_id is not in the customer table, that must be handled
-
Data Transformation
- Normalize Customer Names: Make Customer Name and Last Name as UPPER CASE/INIT CAP
- Aggregate Sales Data
- Derive Additional Fields: Age Group (Below20/21-35/36-50/ Above 50)
-
Data Validation
- Check Email Format: ‘%_@__%.__%’
- Validate Age Range: Age < 0 OR Age > 120
- Date Range Validation: Orders should be between 01-JAN-00 to SYSDATE
- Unique Constraint Validation: Customer IDs should be Unique
- Pattern Matching Validation: Phone Number should be of Format <+91-9999999999>
- Length Validation: Email should not exceed 255 Chars
- Combination Validation: if Age>18 , Email should be Present
How Does Data Cleansing Simplify Your Business Operations?
Poor or dirty data allows companies to make incorrect decisions, leading to poor customer satisfaction and the waste of money and energy. Without a standard practice to begin and maintain clean data, poor or dirty data issues are expected to increase. Loss of operational productivity as the resources spend their time evaluating and confirming data accuracy manually. The productivity of data experts is wasted as they invest time in cleaning, normalizing, and standardizing data.
With well-maintained and clean data, you can shift your focus to revenue-producing activities and not spend much time fixing errors. It boosts the ROI of any promotional activity or marketing effort.
-
Boosts productivity
Our data cleansing services ensure your data is clean and neatly maintained, thereby boosting efficiency.
-
Quicker analysis
Our professionals can do database cleaning and allow you to make quicker and more correct decisions.
-
Boosts revenue
We do provide reliable and up-to-date data for productive analysis and decision-making, which results in higher revenue.
Data Cleansing Service Offerings
-
Data Integration and Auditing
Integration involves combining data from multiple sources or formats into a unified dataset. Remove inconsistencies, remove errors, and conduct referential integrity checks.Data Integration and Auditing
Integration involves combining data from multiple sources or formats into a unified dataset. Remove inconsistencies, remove errors, and conduct referential integrity checks.
-
Data Verification
Data verification is the process of verifying that data meets predefined criteria, ensuring its accuracy, integrity, and consistency.Data Verification
Data verification is the process of verifying that data meets predefined criteria, ensuring its accuracy, integrity, and consistency.
-
Data Hygiene
It is the act of cleaning groups of data or datasets to ensure they’re organized and correct.Data Hygiene
It is the act of cleaning groups of data or datasets to ensure they’re organized and correct.
-
Data Tagging
It minimizes the amount of time spent on secondary data analysis and improves organizational decision-making.Data Tagging
It minimizes the amount of time spent on secondary data analysis and improves organizational decision-making.
-
Synthetic data
Synthetic data reflects real-world sensitive data, statistically or mathematically. It is not the same as randomized and augmented data.Synthetic data
Synthetic data reflects real-world sensitive data, statistically or mathematically. It is not the same as randomized and augmented data.
-
Data Quality Management
It can reduce the waste of energy and time needed to manage incorrect or low-quality data by manually reprocessing it.Data Quality Management
It can reduce the waste of energy and time needed to manage incorrect or low-quality data by manually reprocessing it.
Why Choose Express Analytics for Data Cleaning Services?
Want to book an intro call? We can do that!
-
We at Express Analytics convert data into the preferred format, remove obsolete entries, conduct RI checks, clean mailing lists, index in designated fields, and more. Each record is carefully checked, cleaned, and renewed at regular intervals. Our experts maintain thorough quality control benchmarks via multi-layered quality checks and save you money and time by offering constant, accurate, and clean data. Making your data errorless and cleaning it manually is tedious and complicated. However, our proficiency in using various data cleaning tools ensures the cleaning of your data and organized evaluation in less time. In our data quality management approach, we use systematic workflow and various quality checks for the constant delivery of classified, organized, and clean data to machine learning (ML) startups and AI companies.
Fill up the contact form below to get in touch !
Don’t submit a contact form for guest posts. For guest post inquiries, please reach out to marketing@expressanalytics.net
Benefits of Our Data Cleansing Services
- Improve customer acquisition activities
- Increase productivity
- Simplify business practices
- Increase in response rates and revenue
- Optimize the productivity of experienced resources
- Improve efficiencies by depending on automation
- Preserve priceless resources
Loading….
Recommended latest ResourcesCheck out other resources from Express Analytics
