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Data Cleansing
GIS Mapping
Geocoding
Our products are transforming the way people use data to solve problems. We make analysing data fast and easy, beautiful and useful. It’s software for anyone and everyone.
We stay on top of our industry by being experts in yours. We measure our success by the results we drive for our clients.
We are a Data Company working with big data, profiling of data, providing services in data analytics.
Data cleansing or data cleaning is the process of identifying and removing (or correcting) inaccurate records from a dataset, table, or database and refers to recognising unfinished, unreliable, inaccurate or non-relevant parts of the data and then restoring, remodelling, or removing the dirty or crude data. Data cleaning may be performed as batch processing through scripting or interactively with data wrangling tools.
Lead generation is very important for the growth of a business. The buying process has changed and marketeers need to rethink and refocus their efforts in order to stay relevant. If people demonstrate to you that they are interested in your business, when you go to contact them about your offering they are no longer a stranger– but rather a true sales prospect who has “told” you they are interested in your product or service.
Geocoding is the process of transforming a description of a location—such as a pair of coordinates, an address, or a name of a place—to a location on the earth's surface. You can geocode by entering one location description at a time or by providing many of them at once in a table. The resulting locations are output as geographic features with attributes, which can be used for mapping or spatial analysis.
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The Fancy that recognize the talent and effort of the best web designers, develop-ers and agencies in the world.
Learn MoreThe Fancy that recognize the talent and effort of the best web designers, develop-ers and agencies in the world.
Learn MoreThe Fancy that recognize the talent and effort of the best web designers, develop-ers and agencies in the world.
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