Data Science Consulting Services
For 30 years, we have been applying data science in its different forms ranging from statistics to machine learning (including its most recent technique – deep learning) to run experiments on your data in search of precious insights.
Benefits that Data Science Brings
We, at ScienceSoft, are devoted to data science services as we see many improvements that it can bring to businesses, regardless of the industry they represent.
Our data scientists can apply an ARIMA model or a deep neural network to generate reliable demand predictions. We can build neural networks or apply ML algorithms, such as hierarchical clustering and multi-class support vector machines, to evaluate your suppliers and assess the risks associated with each of them.
We can help you fight low overall equipment effectiveness (OEE) by identifying the root causes for availability, performance and quality losses. We apply machine learning techniques to achieve predictive maintenance, undisrupted functioning, and enhanced product quality.
- Predictive maintenance
Our data scientists can analyze the data from sensors installed at monitored machinery parts to understand the patterns in machinery functioning so that you could plan its maintenance more efficiently. One of the ways to solve this task is to apply Naïve Bayes algorithm to classify normal and pre-failure events. To get more insights, we can further classify the cases based on the time left until a breakdown. For instance, a failure that can happen within 24 hours gets a red color, a failure within 24h – 72h – yellow, a failure in more than 72h – green color.
- Operational intelligence
Even if the monitored parameters seem to be fine when considered individually, their particular combination can still witness an upcoming breakdown. With the help of data science, we can identify such hidden interdependencies and their potential consequences. As a result, operators can receive real-time alerts and solve issues themselves or escalate them to the attention of the maintenance team.
- Enhanced product quality
Machine learning techniques are helpful when you need to identify process disruptions at each production stage. We compare the actual and expected duration of each operation, as well as check temperature, vibration and other parameters. All this, to move beyond simple thresholds to really complex dependencies and identify the deviations that may affect product quality as early as possible. Having learned at some early stages that raw materials or parts are defective, you won’t waste your time and resources on continuing with them at all the remaining production stages. This can also save the entire manufacturing process from being affected by a defective part or component.
Applying machine learning techniques, such as collaborative or content-based filtering (or both of them combined), we can design a recommendation engine to boost the sales of your ecommerce store. Such an engine can help you make your customers happier with relevant product offers. A webpage showing personalized content, a mobile app with promo offers that spark customers’ interest, as well as relevant email campaigns are also among the gains that you can get with data science.
We can implement machine learning-based lead and opportunity scoring so that you’re sure that your sales team adheres to the chosen business strategy, as well as wisely prioritizes their efforts.
Besides, we can create a machine learning model to make your communication with customers stellar. Trained to detect attitude markers and recognize your customers’ mood, the model will signal your sales team if a particular customer experiences negative emotions.
We can provide you with a machine learning model to help you streamline the sales process by providing your sales team with clever next-step recommendations.
We’ll apply machine learning algorithms to provide you with accurate predictions of your customers’ behavior. For example, you’ll be able to assess whether it’s likely that your customer is a late payer, how they will react to price changes or to promotions. We can also help you identify potential churners so that you can design the strategies to prevent their loss.
Select your Data Science Consulting model
Do you consider building a data science solution in your company, but lack needed experience and resources? ScienceSoft is ready to implement its best practices to ensure a smoothly functioning data science solution that suits your business needs.
If you’ve encountered a problem (noisy or dirty data, inaccurate predictions, etc.) in your data science project, we can serve as your think tank to help you figure out how to adjust your data science solution to be make your project pay dividends.
If you seek continuous support and evolution of your data science initiative, our team will closely cooperate with your subject matter experts and implementation team to provide ongoing recommendations and ensure the models’ continuous improvement. This will increase the quality of insights and help adjust the models to the changing environment.
Methods and Technologies we use
To get to the valuable insights that your data hides, we apply both proven statistical methods and elaborate machine learning algorithms, including such intricate techniques as deep neural networks with 10+ hidden layers.
Non-NN machine learning methods
Neural networks, including deep learning