SERVICES

Data Science

Data science is a discipline that sits at the heart of decision-making, strategic planning and innovation for businesses across all sectors. It involves three fundamental areas: computer programming skills, maths and statistics knowledge and substantive domain expertise. Insight Data Solutions is a leader in all three.

Insight Data Solutions
By Insight Data Solutions

Programming skills

Our team of data engineers use cutting-edge technologies and programming languages such as Python, R and SQL. This technical agility allows us to tailor solutions that meet the specific needs of our clients

 

Maths and statistics knowledge

Our actuaries and statisticians have strong quantitative skills and can expertly apply various statistical models and machine learning (ML) algorithms to analyse trends, identify patterns and predict outcomes.

 

Substantive domain expertise

The true value of data science lies in its application to real-world problems, so it is important for us to understand the industries and sectors we serve. We combine technical proficiency with a deep understanding of both domain-specific challenges and customised-solutions opportunities.

The intersection of these three areas is where the real data science magic happens. We operate in this sweet spot, offering you solutions that are technically sound and strategically aligned with your business objectives.

 

Categorising our services

Through our world-class data science expertise, we equip you with the tools and insights to understand your current business performance and to shape the outcomes you are striving for. We help you to understand, predict and act.

Our capabilities cover the full spectrum of analytics, guiding you from understanding your data to taking action:

 

 

1. Descriptive analytics 

We analyse historical data to identify trends, patterns and relationships, providing you with a clear view of past performance to help understand what has happened in your business.

 

2. Predictive analytics 

We use advanced statistical models and AI (artificial intelligence) to forecast future trends, anticipating future opportunities and challenges to enable a proactive approach.

 

3. Diagnostic analytics 

We delve deeper into the data to uncover the reasons behind past performance, explaining the “why” behind your data and leading to better decision-making.

 

4. Prescriptive analytics 

Based on algorithms and optimisation techniques, we recommend specific goal-aligned actions that help to shape optimal business outcomes.

 

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