The most accurate B2B and B2C data cleansing software to date. Fortune 500 Data Quality near you!
Each year close to 30% of your data can be rendered deficient or incomplete. Even worst, somewhere between 10% to 25% of these records have errors, creating a major problem for salespeople and business managers, as it prevents them from doing their job safely and effectively, thus wasting hundreds of hours, dollars, and resources on data cleansing efforts.
Data cleansing, also known as data wrangling or data scrubbing, is the process of identifying and correcting errors, duplicate data, and unnecessary data. Data cleansing is a vital step in the data preparation process that enables reliable data quality resulting in accurate visualizations, models, and data based decisions.
Analytics, algorithms and models are merely a representation of data pre data wrangling. Gartner reports say 25% of enterprise data is flawed on average. Companies lose out on their total profits, a result of dirty data, but they also suffer significant non-financial losses. To be a leader in your industry clean data is a must. As Gartner says, dirty data is a business problem, not an IT problem.
“Datos Maestros” is spanish for Master Data and thats all we know. With over 40 years of combined experience, accross 40 countries and more than 400 system integrations under our belt, we have seen the good the bad and the ugly. It’s safe to say we know a thing or two about data quality.
Why pay more for less, our unicorn business model allows a one man band and small to medium companies pay on the go, with credits or our pay per match check out options. For the the big dogs we don’t sacrifice quality for quantity and can count on the best bang for your buck with guaranteed lowest price without loosing our Fortune 500 memory.
Getting clean is the first step in data cleansing process the next challenge is staying clean. With our business automation integration reap the following benefits:
We integrate seamlessly with your preexisting tools and databases or ETL workflows for easy to access data that is processable and clean to make data driven decisions.