Data Science Services
At ASPER BROTHERS, we believe that a comprehensive service offering is a key to success when it comes to data. That is why we cover it all – from data collection through data science consulting to adding predictive analytics and machine learning algorithms on top of the insights we derive. This extensive experience in data science services is leverage on the path towards digital transformation. Are you ready to join this ride?
Machine learning is a way of analysing data via automated models. Using ML, computers can learn from the data they analyse, identify patterns without being explicitly programmed to do so and support making decisions without involving humans.
Deep learning is a subfield of machine learning concerned with algorithms and networks able to learn in an unsupervised way from even unstructured and unlabeled data. With deep learning, computers learn by using text, speech or images samples with a great level of accuracy.
Data Driven Development
Software development plays a vital part in the field of data science. But the data-driven development approach puts data first and takes it to the next level. It’s a great way to collect a lot of valuable data and increase its availability across the whole software solution.
Capturing and collecting data is one thing, but adding a layer of predictive analysis on top of it is a completely different story. Predictive modelling is a method of deriving insights regarding unknown future events by a mixture of statistics, modelling machine learning and artificial intelligence.
We advise not only on the choice of technology but also business issues and strategy related to new software development.
Let’s make a short phone or video call, listen to your needs, and advise the best solutions.
Process of Data Science
Consulting and Development
A well designed and thought-through process related to data science services tested in action is our recipe for success.
Analysis of Business Needs
Always start with the basics and understand what the true business need is underlying the technology. Gathering end users and customer insights before doing any actual data mining or big data analytics are crucial for the latter to be successful.
Preparation of the Data Source
Once the business insights are collected, we can prepare the data to be leveraged by data science technologies. This stage is important to make accurate predictions that meet the business objectives and support decision making. The data must not be biased.
Building and Validating Models
The next step of a data science project is focused on preparing technical solutions such as neural networks, artificial intelligence and machine learning models. These will be later used to derive valuable insights out of the data they will be fed with.
Machine & Deep Learning Development
Some development services also include advanced data science solutions such as predictive modelling using AI solutions or introducing deep learning or machine learning services. If Big Data is to support digital transformation, then leveraging neural networks might be necessary.
Delivering Data Science Output
As a result of the big data science consulting services, intelligent insights are being produced on top of analytics. These could be related, for example, to tangible business problems such as demand forecasting, logistic regression, computer vision or sentiment analysis.
Support and Consultations
The process of data science services does not end after the first actionable insights are produced. Analytics solutions are also provided during a longer period of time, as the experts need to optimize the models that drive business. That’s the way of maintaining the highest product quality.
Learn about the history of successful cooperation with companies from around the world.
Data Science translates into tangible business goals
Big Data is not only one of the future trends – it’s already proven in action in an ever-changing environment on the market. Here are just some of the solutions that power the businesses and increase the customer experience.
Automated Valuation in real estate
Real estate is a great field of development for data science. Companies in that domain often need to invest a lot of time in valuing immovables. In contrast, properly trained machine learning models can automatically suggest a relevant value based on other similar transactions thanks to data solutions.
Effective risk management
Risk management, thanks to predictive analytics, can be a real piece of cake. Imagine your company having a tool that would let you know when to perform specific maintenance tasks or optimize your solutions. With data science and artificial intelligence, it’s possible to translate meaningless information into valuable insights.
Increase in sales
Data science is also a great method of increasing sales for your company. For example, by analysing data related to personal information and customer behaviour, financial organizations put forward tools based on artificial intelligence that recommend other solutions to cross-sell.
Improving business operations
Data solutions are great leverage of existing information and transforming it into meaningful insights. The beauty of this concept lies in how universal it is. Clients scale these data services to almost every part of their organisations and enjoy the benefits.
Computer Vision systems
These solutions are based on intelligent models that are trained to be able to analyse and identify what’s on the image. This high-level understanding has plenty of use cases. For example, once the computer can classify objects in the picture, they can react accordingly and make further use of that data.
ASPER BROTHERS - your data science services partner
A team of experienced engineers
ASPER BROTHERS is a team of experienced data analytics that satisfy our customers by creating a tangible value for their organisations. We know how to translate the expertise gathered throughout the years of working on numerous data science projects into real business opportunities.
Expertise in machine learning and deep learning projects
If your company wants to base decision making on data science and data services, it’s important to choose a partner with relevant experience. Machine learning, deep learning and other valuation models are not something easy to pick up. Luckily, with ASPER BROTHERS, appropriate skills and ready solutions that add value are at your fingertips.
Focus on business analysis and consulting
Data Science solutions are all about analysis that translates data into a better understanding of a certain aspect. At ASPER BROTHERS, we emphasise these analytical solutions, consulting and building a sound business understanding. That makes our algorithms and services more relevant.
Flexible cooperation models
We’re agile not only in terms of software development but also when it comes to the way we do business with our customers. We’re open to different cooperation models such as Fixed Price and Time & Materials, and it’s our goal to adapt to our client’s needs and optimize our solutions to their businesses.
How does it feel to work with us? BROTHERLY.
From the very beginning of the project, we focus on mutual understanding and respect. See what our wonderful business partners say about us.
Technologies related to Data Science services
Python is one of the most popular entry-level languages of developers nowadays. Its simple philosophy emphasizes code readability, ease of syntax and reducing the costs of program maintenance.
Django is a high-level Python web framework. It enhances development services by introducing speed, security and maintainability to development. In addition, Django takes care of the repeatable aspects of coding so that you can focus on the important aspects.
When it comes to data analysis and data science services, companies leverage Pandas because it’s flexible, fast and easy to use. It’s a software library with Python that supports data structures and solutions such as manipulating numerical tables and time series.
When it comes to science services, NumPy is used to support large, multi-dimensional matrices or arrays. This Python library also serves as a tool to tackle significant collections of high-level mathematical functions to operate on these arrays.
Sklearn is one of the tools that enhance simple and efficient predictive analytics. It’s a free machine learning library for Python that makes big data services more robust. It introduces a lot of shortcuts when it comes to classification, regression or dimensionality of data.
This open-source machine learning framework is used to enhance the speed of going from research and prototyping to big data mining and production deployment of the data models. It works great with deep learning algorithms and tools for predictive analytics.
ASPER BLOG posts
a solid dose of knowledge on data science and AI
Image Segmentation Based on U-Net Architecture. Implementation & Code Example for Buildings Recognition
Image Segmentation is a process of partitioning images into sets of pixels (segments) that correspond to objects on the image. This...
Sentiment analysis is the way of identifying a sentiment of a text. In this case, sentiment is understood very broadly. It...
Historically, one of the first implementations of the QA system was the program BASEBALL (1961), created at Stanford University. It was...