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Digitisation has a really huge impact on how competitive you are on the market. Data analytics services are services that allow companies not only to analyse data, but also to properly interpret it and create software dedicated to business needs on this basis. Such custom software is a way to predict trends and quickly respond to changes that occur on the market. How does data analysis help companies that build custom software?
- Data analytics services—understanding market and user needs
- Data analysis and optimisation of performance and resources
Data analytics services—understanding market and user needs
Why is data analytics important? Data analytics services enable understanding of current user behaviour, needs, and preferences. These are key analyzing raw data that facilitate better customisation of specific software functionality to be valuable to the customer.
Statistical analytics make it easy to understand patterns in how a group of users behave in a specific industry, so that you can create more personalised and unique features for them. Such information makes it easier not only to identify trends, but also to choose software development tools and decide whether it should be, for example, a mobile application or a cloud-native application. Sometimes the data analytics process provides knowledge that allows you to make a good decision to modernise the application.
Data analysis and optimisation of performance and resources
Statistical analysis, data mining, data visualization, data analytics tools and historical data are information that allow you to predict the costs of creating an application and plan its infrastructure in the most successful way. Data analysis process allows you to determine the performance of the application, reduce possible errors, reduce the risk of failure and excessive software expenses.
Data analysts help reduce the risk of expensive fixes and create the most intuitive, efficient software that will be easy to scale and further adapt to changing market needs.
To sum up, predictive analytics is a way to analyse user needs and expectations, perform necessary tests before software implementation, define necessary functions and design user-friendly solutions. It is therefore a comprehensive IT strategy that takes into account performance, user satisfaction, the company’s business needs, its financial capabilities, and increased application security, keeping in mind the latest technological achievements and digitisation in the long term.