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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.
Data auditing is the foundation of every cleansing engagement we run. 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 confirms your records are accurate, consistent and within the tolerance ranges your business rules define. 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 deduplication expertise removes duplicate and redundant records using fuzzy-match, phonetic and rule-based algorithms tuned to your dataset. 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 data 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.
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, our data cleaning services deliver datasets that are accurate, deduplicated, standardized and ready for analytics, AI or migration.
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.
We start by reviewing your data sources, structure, and business requirements. At Bacancy, the focus is on understanding where issues exist and how they impact your operations. This step helps define what needs to be fixed first and sets a clear direction for the work ahead.
We examine the data in detail to understand patterns, formats, and inconsistencies. Our team identifies duplicate records, missing fields, and unusual values that can affect accuracy. This helps in setting practical rules for cleaning and improving data quality.
We bring consistency to your data by aligning formats, naming conventions, and structures. Bacancy ensures that fields such as dates, locations, and identifiers follow a uniform format across systems. This makes the data easier to use and reduces confusion during analysis.
We clean the data by removing duplicates, correcting errors, and fixing incomplete or invalid entries. Our team applies defined rules to ensure the output is reliable and usable. The goal is to turn scattered and inconsistent data into something dependable.
We improve the value of your data by adding missing or relevant information where needed. Bacancy focuses on making the dataset more complete so it can support better reporting and decision-making. This step helps you get more context from the same data.
We run final checks to confirm the data meets the expected quality standards. Our team reviews accuracy, consistency, and completeness before handing it over. You receive clean, structured data that is ready for use across your systems and reports.
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.

Data wrangling, sometimes called data munging, is the process of reshaping or converting data from one format into another. On the other hand, data cleansing, also called data cleaning, is a process of finding and rectifying errors from a particular dataset.
We also run column-level data profiling and row-level verification (using tools like Informatica Data Quality and OpenRefine) to confirm every record meets your business rules before delivery. We clean the data by removing duplicates, fixing errors, filling in missing values, deleting irrelevant data, and correcting syntax errors.
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.
The cost of data cleaning services at Bacancy depends on factors such as data volume, complexity, number of data sources, and the level of cleansing required. Simple tasks like deduplication and formatting cost less, while large-scale projects involving multiple systems, enrichment, and automation require more effort.
Flexible engagement models are available, including hourly, fixed cost, and dedicated resource options, so pricing can be aligned with your specific needs. Share your requirements, and a tailored estimate can be provided based on the scope of work.