Why do you need Data Science services for your business?
Data scientists at SoftElegance develop logical paths and methodologies for data science projects that trigger instant alerts on detection of unusual or suspicious data, thereby mitigating potentially fraudulent actions.
Data scientists at SoftElegance use data collation and analytics techniques to help you to conveniently track your customers’ behavior as it changes from time to time.
Applying unique, feasible analytics for different business operations ensures effectiveness and efficiency in achieving operational excellence as regards the customer’s needs.
Data science experts at Softelegance launch professional reviews on your various campaigns to determine which is the most efficient and will be able to bring more new customers to your business.
Neural networks and machine learning algorithms are applied by the data scientists at SoftElegance to ascertain a realistic prediction of future results.
When you have tangible data on your business at hand, you can come up with objective decisions. This is what the team at SoftElegance does: it makes all your business data available for you to analyze and work with.
The first stage of the data science workflow is to define your business needs and issues to solve. This is where you discuss with the SoftElegance team your requirements and decide on how data processing can help in the realization of your business’ goals.
The next stage is to define access to the source data that would be used for your project. This is crucial because the source data might be fixed, unstable, or automated. Sometimes, the data preparation stage can take more than 70% of the time required for data science tasks. The obtained source data is being processed into a “clean” form so that it becomes fit to be used in the modeling stage.
At this stage, the main focuses are to maintain a feature engineering logic and flexibility of the target datasets. In some cases, this stage includes ascertaining that the full pipeline of a project is traceable to a source.
In this data science workflow stage, all dataset volumes will be optimized, since not all of the features or values are necessary for the model predictions. To get the requirements for your project values in this modeling stage, different algorithms can be used by SoftElegance’s team. Similarly, modeling to group data may be used to understand a certain logic behind those clusters.
After the source data has been accessed and processed into a “clean” form, a model is built and implemented. The SoftElegance team will present the results in a digestible way, like graphics, email, API, etc. This will allow you to see the progress of your project and offer you flexibility for applying in your business.