Optimizing Data Quality for Accurate & Consistent Analysis
At ESSGEEKS, we believe that the quality of output is directly proportional to the quality of data input. The benefits derived from implementing any application invariably depend on the data that it uses for processing. With ESSGEEKS data cleansing services, you can say goodbye to inaccurate, incomplete or irrelevant data because by leveraging the best tools in the box, we remove every redundancy, duplicity and inconsistency from your data set, thus improving its accuracy and in turn, usability.
So whether you need to eliminate duplicate data or filter out unwanted one, ESSGEEKS’s data cleansing services can be the ideal solution.
When to Choose a Data Cleansing Service?
When you need to remove Data Inaccuracies like typographical errors, missing values or inaccurate information.
When data needs to be enriched by adding relevant information to aid in Data Analysis.
When you are migrating your existing applications to another solution provider, platform, services or database.
Eliminate Duplicate Data
When you are combining data from multiple data sources, we need to eliminate duplicates for better data quality.
Helping you unlock the potential of cleaned, scrubbed and refined data
Why Choose ESSGEEKS?
Accuracy is our gold standard and we live by it. Our data cleansing experts ensure every tiny detail that may affect your business is meticulously scanned and cleaned.
We don’t just clean and remove duplicities; we ensure the data is standardized, accurate and ready for analysis.
Regular standardization is the most essential part of our data cleansing lifecycle, ensuring uniformity and reliability of your company’s data.
ESSGEEKS's data cleansing services involve a fast turnaround at affordable prices – with zero compromises on quality.
Better Data Health = Better Results = Better Decisions
We, at ESSGEEKS, tackle each data cleansing project differently, based on YOUR requirements. However, the general process includes-
- Eliminate Duplicates
- Reconcile Data
- Standardize the Data
- Implement Data Validations
Once all the data is imported from multiple sources to a single platform, our data cleansing experts work rigorously to remove duplicate, unwanted and incorrect data, check typographical errors and format your data set.
Missing or incorrect data can lead to inaccurate analysis. So, by identifying missing data values, our experts generate appropriate content based on the observations and discussions with customers, ensuring good data quality for analysis.
When you have hundreds and thousands of data points, it becomes tedious and expensive to handle the scale and intricacy of the data set. This is why, once the data is reconciled, we standardize the data. This involves, but is not limited to, using the same unit of measure or using similar terms and formats for presenting the same information across the application, ensuring consistency and better analysis of the data.
After the data is standardized and normalized, we ensure it satisfies the constraints laid out by the application where the data would be used. We ensure that the data makes sense, follows the appropriate rules, and is free of data quality issues.
Helping You Meet Your Data Cleansing Goals
Fuel your business strategies and processes with our robust data cleansing services.