Market Trend Analysis & B2B Data

Trend analysis is used to predict future financial movements based on data. It assumes that what happened in the past indicates what could happen in the future.

It is most commonly used in the stock market to forecast price movements. 

Trend analysis often uses historical data points, including:

• Prices changes
• Volume
• Liquidity

However, professional investors will usually dig deeper and conduct fundamental analysis on a business. This involves analysing factors like the company’s financial position, whether it has had legal action taken against it and identifying its growth potential.

Data analysis is a data science process that involves inspecting data, data cleaning and modelling data. It aims to support good business decision-making. It is sometimes known as business analytics. 

Computer algorithms play a critical role in data analysis as they allow data scientists to process a huge amount of data very quickly. 

This is when businesses analyse past and current changes in the market and identify trends and patterns. Companies use this information to plan campaigns and support their strategic planning. 

We collect raw data on every business in the UK and in most countries around the world. 

We then enrich this data with our own predictive analysis using our machine learning algorithm. This algorithm uses 20 years of company data to identify trends and accurately predict each company’s future financial performance.

We essentially do most of the hard work for data scientists and statistical analysis experts. This allows them to spend less time gathering data and modelling and more time focusing on their business strategy.