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We ensure our clients get consistent, complete, and robust data to improve the outcomes. Get our data cleansing services focused on cleaning, de-duplicating, verifying, and validating a large pool of erroneous and rogue data.
Auditing the existing data is the primary focus of your data cleansing services. We perform a detailed assessment of your current data to ensure its efficacy and quality. Our expert data cleansing team can compile data from large datasets and aggregate it in a more straightforward medium using sum, average, mean, or medium references.
Our end-to-end data verification services can help you identify if your organizational data is in the acceptable range, accurate, and consistent. We verify your data at every level, even if it is merged or migrated from an outside source. Our data engineers use manual, semi-automated, and automated methodologies for data verification.
We combine data collected from internal sources with siloed data sources from internal, third-party, and external sources to enrich the value of data in your possession. Our professional data cleansing services empower you to monitor the changes in the quality or sources of data enrichment without compromising data security or compliance.
Our data duplication expertise helps companies to eliminate duplicate data or redundant entries. Besides, it helps to increase the data storage capacity significantly. Our skilled data team performs data deduplication using in-line or background processes, ensuring zero data loss and no downtime.
Our data standardization services help you harmonize data across systems and improve data portability and interoperability. By adhering to the data standards, we transform data collected from numerous sources into a consistent format. These standards cover capitalization, acronyms, punctuation, incorrect value fields, and alpha-numeric characters.
Every dataset is different, so there's no one-size-fits-all approach to data cleaning. Our AI developers tailor data cleansing services to address the specific errors, inconsistencies, and quality issues in your data. Leveraging advanced AI technology and tools, they ensure that your data is thoroughly cleansed and optimized for your needs.
Our data team is highly skilled in managing data health and hygiene. They can monitor and manage your data handling process, from collection to implementation and distribution to analytics. Providing error-free and consistent data that can serve your intended purpose is the primary aim of our data cleansing services.
We ensure you’re matched with the right talent based on your requirement.
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We use best-in-class tools, state-of-the-art technologies, and modern approaches to scale up your business
| Data Cleansing | Integrate.ioTibco ClarityDemandToolsRingLeadTrifacta WranglerOpenRefine |
| Data Quality | Melissa Clean SuiteWinPure Clean & MatchInformatica Cloud Data QualityOracle EnterpriseData QualitySAS Data QualityIBM Infosphere Information Server |
| PM Tools | JiraTrelloSlackAsanaAzure DevOpsHubstaff Tasks |
| Communication Tools | SlackHangout |
| Meeting | Google MeetZoomGoToMeeting |
We have completed many data science, BI, and analytics projects. Data cleansing was the central part we executed in many of those projects.
At Bacancy, we offer data cleaning services intending to keep the data clean, lean, and green. That’s why we use our expertise to give you clean, free of errors, and consistent data.
Remove Duplicate Entries
When you collect data from different sources or enter it manually, duplicate entries become one of the significant issues. We have data cleansing experts with a keen eye for finding such duplicates and removing them.
Remove Irrelevant Data
Often, you get irrelevant data when you are collecting data on a larger scale. After understanding your needs, we can use our skills to identify the irrelevant or unrelated data and remove it column-wise, row-wise, text-wise, intent-wise, etc., to give you domain-relevant and business-specific data.
Remove Syntax Errors
We can help you remove white spaces and extra spaces and fix pad strings, typos, and other categorical variables. We use our skills in Standardizing capitalization for clean text, making it processable by computer models and custom algorithms.
Convert Data Type
Our data engineers can ensure numbers are stored as numeric types and date as date objects with Unix timestamps. If needed, they can convert categorical values into and from numbers.
Clear Formatting
When you are using ML algorithms, it becomes difficult to process heavily formatted data. We can help you clean this mess by removing all kinds of formatting, ensuring you get consistent and highly accurate data for processing and analytics.
Language Translation
When you collect from different sources, language changes according to geography. Our data cleansing services offer Natural Language Processing (NLP) models to ensure the entire dataset is predominantly monolingual.
Handle Missing Values
We have two approaches to dealing with missing values: either remove them or research and fill in the missing value. We want to maintain the data quality. Hence, we take your assistance to make the right decision.
As a reliable data cleansing service provider, we have gained essential skills and industry expertise to manage and maintain data quality. Our team saves you time and money by providing clean, consistent, and accurate data.
Cleaning your data manually and making it error-free is time-consuming and complicated. But our expertise in utilizing different data cleansing tools and technologies ensures systematic assessment and cleaning of your data in minimum time.

Both concepts have similar functions but with a slight difference. Data wrangling is also called data munging and is a process of converting one data format to another. Data cleansing, also called data cleaning, is a process of finding and rectifying errors from a particular dataset.
Generally, we use both manual and automated methods to cleanse the data. We clean the data by removing duplicates, fixing errors, filling in missing values, deleting irrelevant data, and correcting syntax errors. We also perform data profiling and verification to ensure clean and healthy data.
The cost of our data cleaning services depends on different variables, such as the amount of data, the number of fields, the age of the field, the location of the datasets, and how old it is. Besides, the complexity, methodology, and technology also have a role in determining the costs.
You can contact us with your requirement to get a custom quote.
You will come across different clickable action buttons on the page; click any of them, fill in your requirements, and we will get back to you. Besides, you can fill out the requisition form at the bottom or call us.
Yes, we have successfully delivered many data science, BI, and data analytics projects where data cleansing was a significant attribute.
We have a vetted team of data scientists, engineers, and analysts offering bespoke data-cleansing services.