Data Automation Company
We Provide Professional Services That Suit Your Data Needs
Data Discovery
Data Analytics Services
Understanding deeply about the Data is crucial prior performing methods to clean it. We help you to have a better idea about what the data is about and how we could bring value out of it. It needs to be done in specific manners, based on some criteria which could demarcate and divide the data accordingly – these are identified in Data Discovery.
Data Structuring
Data Analytics Services
In most cases, the Raw Data is in a chaotic manner without clear structure to it. Based on the criteria identified in the Data Discovery, we help you separate the Data for ease of use and better analysis.
Data Cleaning
Data Analytics Services
As we all know most if not all datasets are sure to have some outliers, which can skew the results of the analysis. These will have to be cleaned, for the best results. We provide Data Cleaning services where the data is cleaned thoroughly for high-quality analysis. Null values will have to be changed, and the formatting will be standardised in order to make the data of higher quality.
Data Enriching
Data Analytics Services
After the Data is cleaned, it will have to be enriched. This means that we will have to take stock of what is in the data and strategise whether we will have to augment it using some additional data in order to make it better. We will brainstorm together with you to derive any new data from the existing clean data set that you have.
Data Validating
Data Analytics Services
Our Data Validation refer to repetitive programming steps which are used to verify the consistency, quality and the security of the data that you have. For example, we will have to ascertain whether the fields in the data set are accurate via a check across the data, or see whether the attributes are normally distributed.
Data Visualisation
Data Analytics Services
The prepared wrangled data is published or visualised in various presentation glass (dashboards, apps etc) so that it can be used further down the line and action can be taken to measure performances, rectify issues, gain new business insights etc– that is its purpose after all.
