Data Insights

Data Insights

Data is all around us. When we shop, watch movies online, travel, exercise in a gym or we try to make better business decisions.

It’s hard to make sense of it all without the right approach in place that will allow us to draw value from it. The data itself is just it, pieces of bytes scattered around.

Only when we turn it into actionable insights, it becomes invaluable source of information. That can make a huge difference in how we make decisions in our businesses and in the world at large.

Data Science

Data science uses scientific methods, algorithms, statistics, computer science, AI technologies and computation processes to extract knowledge and insights from various types of data.

We combine the most advanced, best practises from all the above fields to turn structured or unstructured data into actionable insights. Data Science and related fields like Machine Learning, Deep Learning and Data Mining allow us to not only better understand the current picture but also predict the future and build better products and services your customers will love.

Below are examples of business challenges we can help you with.

KPI tracking

Many businesses successfully track key performance indicators (KPIs) using Big Data techniques. KPIs help with keeping on top of important metrics and finding areas for improvement.

However with vast number of possible metrics to track, how do you know which are the ones, you should be looking at more closely? With advanced Data Science techniques we can identify and the most important ones so that you will never lose sight of progress towards your business goals.

Analysis of customer behaviour

Recent advancements in Data Science and Machine Learning technologies allow us to analyse and make predictions about customer behaviour. The use cases include:

  • Marketing engagement and conversion
  • Sales funnel analytics
  • Data-driven customer segmentation
  • Customer Lifetime Value
  • Retaining customers.
  • Measuring customer churn.
  • A / B testing.
  • Marketing mix analysis.

Product recommendations

Personalised product recommendations have been popularised by big video on demand and e-commerce companies. They are widely used in the industry because they significantly increase customer satisfaction, engagement and sales for all e-commerce businesses. Find out if you could also benefit by utilizing collaborative filtering technology in your business.

Get in touch!

We love telling stories with data. Let us help you get inspired by data insights you never knew they existed.

Contact us today!