Big data and predictive analytics have a lot of applications, including sales forecasting, marketing and strategy optimization, machine maintenance, even sports and design. Police and security experts already know that big data and predictive analytics might be extremely helpful in fighting and preventing crimes. We are going to explain how they do it.
FinTech stands for Financial Technology. It is a common term used for companies offering added value or entirely new financial services via technology. Financial business is generating a huge amount of data also known as big data. This is where the point of intersection for Data Analytics and FinTech is located. We also have to keep in mind that FinTech covers a lot of financial business domains like asset management, insurance, lending, transferring money, to name a few.
From the Facebook ability to curate information flow designed for you, to the ability to read the human genome, modern data analytics has a lot of applications in different forms and shapes. So does the energy sector.
Businesses can apply analytics for reaching insights into every process and to explore optimization opportunities. Starting with better-managed operations to the demand side of commercial channels but analytics also is opening a lot of new opportunities related to smart grids, smart homes, renewable energy, etc. Since at A4E we are tempted by all things analytics, in this blog post we share real-life application of energy data analytics.