Artificial Intelligence
- Machine Learning
- Deep Learning
- Python
- Pandas
- Numpy
- API
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Data
Science
- Data Engineering
- Data Maning
- Data Analysis
- Structured Query Language (SQL)
- Clustering
- Big Data
- R
- Spreadsheets
- Data Visualisation
- Tableau/Power BI
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Digital Marketing
- Google Analytics
- Google Tag Manager
- Google Ads
- SEO
- Social Media Marketing
- Marketing Analytics
- Email Marketing
- MailChimp
- E-Commerce
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Web
Development
- Front-end
- Back-end
- CMS (e.g. Wordpress, Drupal)
- Cloud Computing (GCP, AWS, Azure)
- E-Commerce (e.g. Magento)
- Payment Gateway
- Testing
- Maintenance
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Artificial Intelligence
Artificial Intelligence (AI) is a branch of computer science that focuses on creating intelligent machines that can think and act like humans. AI systems use algorithms to learn from data and make decisions on their own. Deep learning is a subset of AI that uses multiple layers of neural networks to analyse data and detect patterns. Deep learning can be used to create systems that recognise images, process natural language, and make predictions.
Data Science
Businesses across the globe use data science to solve a real-world problems. This involves using machine learning algorithms to identify patterns in large datasets, analysing customer behaviour to identify trends, or using data visualisation to uncover insights. Data tools including SQL, Spreadsheets, as well as data visualisation tools such as Tableau and Power Bi are used to solve a variety of business problems, from predicting customer churn to optimizing marketing campaigns. It can also be used to discover new opportunities, such as uncovering previously unknown correlations between different datasets. By leveraging data science, businesses can gain valuable insights into their operations and make more informed decisions
Digital Marketing
The latest form of marketing that utilises digital technologies, such as the Web, mobile phones, and other digital media and platforms, to promote products and/or services. It involves the use of online advertising such as Google Ads, Search Engine Optimisation (SEO), Content Marketing, Social Media Marketing, and many others in order reach customers. Digital Marketing can be used to target a wide range of audiences, including individuals, businesses, and organisations. For any organisation to stay ahead of competition, using analytical tools such as Google Analytics in combination with Gogole Tag Manager is a must!
Web Development
Full stack web development is the process of developing both the frontend and backend components of a web application. This includes creating user interfaces, server-side logic, and a database. Full stack web developers are responsible for building and maintaining the entire web application, from the user interface to the database.
Data is Demanding...
We have worked with clients worldwide, including the UK, the US, the EU, Middle East, and Asia. Because Data is Demanding, the members of our team hold higher qualification degrees such as PhD in Computer Science, MSc. in Software Engineering, MSc. in Digital Marketing and more!
Happy Clients
Team Members
Years in Business
AI-Powered Hospitals
Hospitals can use AI-powered text and voice recognition systems to quickly transcribe patient notes and records, and AI-powered chatbots can be used to help answer patient questions and provide timely medical advice. AI-powered computer vision can also be used to detect abnormalities in medical images and help doctors diagnose and treat diseases.
Google Analytics Case Study
Background:
eShopper is an e-commerce company that sells a variety of products to customers all over the world. They have recently started to use Google Analytics in order to better understand the behaviour of their customers and improve their online marketing efforts.
Problem:
eShopper wanted to gain insight into their customer's online behaviour in order to improve the performance of their website and increase their sales.
Solution:
eShopper implemented Google Analytics on their website via Google Tag Manager in order to track customer behaviour and identify areas of improvement. Using Google Data Studio, they also set up custom dashboards and reports to monitor their website performance and track customer engagement.
Results:
Using Google Analytics, eShopper was able to gain valuable insights into their customer's online behaviour. They were able to identify areas of their website where visitors were being lost and make changes to improve the customer experience. Additionally, they were able to track the effectiveness of their online marketing campaigns and optimise them for better results.
Conclusion:
Google Analytics, Google Tag Manager, and Google Data Studio were invaluable tools for eShopper in understanding their customer's online behaviour and optimising their website and online marketing efforts. It allowed them to gain valuable insights into their customer's online experience and make improvements to increase their sales.
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Data is not only demanding, but it also requires a wide variety of resources. Get in touch and let us know briefly what you need and we will get back to you with the best solutions according to your needs!