When your data looks outdated and getting not a good result, apply our solution
The data within a database to either remove or update information that is incomplete, incorrect, improperly formatted, duplicated, or irrelevant.
Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a recordset, table, or database and refers to identifying incomplete, incorrect, inaccurate, or irrelevant parts of the data and then replacing, modifying, or deleting the bad records or coarse data. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting and formating to structure data.
Data cleaning consists primarily in implementing error prevention strategies before they occur (see data quality control procedures later in the document). However, error-prevention strategies can reduce but not eliminate common errors and many data errors will be detected incidentally during activities such as:
When collecting or entering data
When transforming/extracting/transferring data
When exploring or analyzing data
When submitting the draft report for peer review
There are many benefits to having clean data:
1. It removes major errors and inconsistencies that are inevitable when multiple sources of data are being pulled into one dataset.
2. Using tools to clean up data will make everyone on your team more efficient as you’ll be able to quickly get what you need from the data available to you.
3. Fewer errors mean happier customers and fewer frustrated employees.
4. It allows you to map different data functions, better understand what your data is intended to do, and learn where it is coming from.
Clean data means clear direction
Good decisions, bad decisions: they all hinge upon the quality of the data that informs them. Errors cost money, take time to correct, and can damage your brand. Data cleansing is one way to make sure that you can trust the data that your business relies on. And when you trust your data, you can make decisions with accuracy, precision, and confidence.
Data validation, the key step in our database cleansing process, removes inaccuracies before using it to strategize or data 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.
IRCOIT, As a leading data verification company, we use manual, semi-automated and automated processes and methodologies to validate your B2B database. We verify or validate data against internal as well as external sources and update outdated or missing values precisely.
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.
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.
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.
Our primary source of data building
We have covered more than 40% market including Information Technology, Computer software, Internet, Telecommunication, Computer network, Computer network & security. Our majority of clients come from IT businesses. If you are a technology company and looking for competitive technology installed base user’s information, then you are on the right page. Using our portal you can review the number of companies using a particular technology. You can search more than 40k+ technologies including IaaS, SaaS, PaaS, Storage, and ERP along with Virtualization Software getting used globally and also place a sample request for data validation and quality review.
Our Technology database covered more than 400+ tech categories and has 10k+ verified Tech vendors operating in the global market.
100+ Million Digital Documents
15+ Million active website
40k+ Installed Technologies
10+ Million News/PR Alerts
100+ Recruitment Agencies
30+ Global Datacentres
200+ Research Firms
20+ Partner APIs
We deploy a multiple market research activities to gain the perfect data & insights of each projects
Once the research analysis is over, we gather all the semi-structured data in one place
All the data get through a proper validation under several resources and legal compliance
During the data validation program, we also deploy an opt-out campaigner to let the audience unsubscribe on demand of each project approval. These activities help us to get the accurate file upon delivery.
Upon satisfaction of data nurturing, validation, privacy updates, now it's time to prepare an excel/.csv file and upload them to the server so the client can download the file through an end-to-end encrypted server.
