Data science

Businesses stand to reap great benefits from data and analytics to gain critical customer insights and drive growth. Today, companies can collect data along every point of the customer journey and make the most of it with the help of specialized data science solutions. 

At Sunscrapers, we deliver data science software using advanced technologies such as artificial intelligence (AI), machine learning, deep learning, and data visualization to equip our clients with tools that enable success.

Here are some critical benefits of data science:

  • Anticipating needs proactively – the competitive pressure of most sectors means that only businesses that understand their clients can succeed. Data science tools help to optimize and personalize the customer experience and deliver contextually-relevant experiences.
  • Delivering tailored products and services – product management teams can use data science solutions to recognise trends and formulate better strategic roadmaps for innovation and new features.
  • Risk mitigation and fraud prevention – security data science solutions protect all physical, financial and intellectual assets through quick detection of potentially fraudulent activity and anticipation of future threats.
  • Responsiveness – data science brings organizations the tools to address customer queries in real time and develop a personal relationship with customers by engaging in tailored interactions. 
  • Excellent customer experience – companies that know their customers can deliver experiences that are positive and drive brand loyalty. 
  • Smarter decisions – analytics tools and dashboards bring a wealth of information to managers who can make the most of these insights for a truly data-driven decision-making.

At Sunscrapers, we help companies make the most of data science innovations by building tools that bring optimal business value, be it recommendation systems, analytics dashboards, reporting tools, or data visualization solutions. 

Check out our blog for how-to guides, step-by-step tutorials and expert tips about the most impactful data science languages, frameworks, and tools. 

Data science

Tech talk: PostgreSQL and JSON with Python

This presentation is a part of our weekly talks. This week, our CTO Przemek talked to us about the use of PostgreSQL and JSON in combination with Python. Check [...]

Data science Python Web development

The Ultimate Tutorial for Django REST Framework: CRUD (Part 1)

Joining a project that uses Django REST Framework (DRF) is often stressful because of things like spaghetti code or antipatterns. I encounter the problem so often that at some [...]

Data science Startups

What is data cleaning and why is it important?

Small businesses can get away with a few Excel spreadsheets for tracking their operations. However, as these companies continue to grow, they can no longer keep up the speed [...]

Data science Python

Django, Flask, or Pyramid? How to choose the right Python framework for your project?

Django, Flask, and Pyramid are frameworks for web development in Python. A web framework includes a collection of packages or modules that allow developers to write web applications without [...]

Data science

4 business challenges Machine Learning solves

During the last few years, machine learning became a key industry buzzword and practically the Holy Grail people believe would solve every kind of business problem. Let’s get one [...]

Basics Data science Python

What is Django and how to get started?

Django is the largest and most popular Python web framework used all around the world by over 5 thousand websites. Its story began in 2003 when two developers, Adrian [...]

Data science Python

8 best Python Natural Language Processing (NLP) libraries

Natural language processing (NLP) is a field located at the intersection of data science and Artificial Intelligence (AI) that – when boiled down to the basics – is all [...]

Data science Python

Ansible deployment using Python 3

In this presentation, I'm going to show you how to deploy Ansible for Python 3. If you already know Ansible and you're curious why it's a good idea to [...]

Data science

Setting up HTTPS on Nginx with Certbot and Letsencrypt

Security of our applications is nearly as important as the business logic. As software developers we are completely aware of it. That’s why we follow all the good practices [...]

Data science

Tech talk: Where to Put Business Logic in Django

This presentation is a part of Sunscrapers’ weekly talks. Michał presents and evaluates different approaches to organising business logic code in a Django Project. Watch it to learn more [...]

Get insights from software experts.

Almost finished…

But we need to confirm your email address first.

To complete the subscription process, please click the link in the email we’ve just sent you.

Sunscrapers Sp. z o.o.

ul. Pokorna 2/947

Warsaw 00-199


Add us to your address book

Thanks for subscribing!

Your email address already exists in our database.

Every month, you’ll get a portion of insights about tech trends, best practices in building software, and managing tech teams. You’ll hear from us soon.

Scroll to bottom

Hi there, we use cookies to provide you with an amazing experience on our site. If you continue without changing the settings, we'll assume that you're happy to receive all cookies on the Sunscrapers website. You can change your cookie settings at any time.

Learn more

Learn how to create a REST API for Django projects !

Build a functional REST API with the Django REST Framework

Download ebook No, thank you
Rest API eBook