‘Data scientists, according to interviews and expert estimates, spend 50 percent to 80 percent of their time in the mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets’
- The NY Times

Our Data Wrangling services will help you in the effective utilization of your Citizen (in-house) Data scientist’s time so that they can focus on doing what they do best i.e. algorithm design and selection, fitting the model and paramater tuning.

We provide services around the following areas in Data Wrangling: Data Extraction, Data Blending, Data Standardization, Data Cleansing, Missing Value and Outlier Data Treatment, Feature Engineering and Publishing a Exploratory Data analysis report along with the ‘Clean’ Data.

We have a proprietary data ingestion engine that can process terabytes of data at a phenomenal rate. For most of our clients, we have been able to crunch data up to 10 times faster than any of their existing data engines, giving them a tremendous advantage in extracting and integrating data sources in a short period of time. This engine has elastic scaling-out capability built into it, so it can handle large volumes of data quickly and on demand.

We have a state of the art Data integration routines and Data wrangling libraries that is available for use on day one of implementation. This routines & libraries give you instant access to exploratory data analysis capabilities on raw, big data.

We have connectors for commonly connected mediums of data extraction. This means connecting with databases & servers for strucutred and unstructured data with ease. So, instead of worrying about how to connect to different sources and prepare your data, you can concentrate on the design of machine learning algorithms and tuning them for greater accuracy.