In today's digital world, intelligent data plays a crucial role in business decision-making. This data enables informed decisions to be made and business processes to be optimised. Intelligent data is often based on Big Data, which is transformed into valuable insights through targeted analysis and processing. Companies use these insights to increase their competitiveness and achieve sustainable advantages.
Was ist Smart Data?
Intelligent data are the results of targeted analysis of large data sets. They are obtained through the use of techniques such as data mining, machine learning, and artificial intelligence to extract relevant information and utilise it for specific applications [4]. In contrast to Big Data, which focuses on the processing of large data sets, Intelligent Data focuses on targeted utilisation and analysis to achieve concrete objectives.
Applications of intelligent data
Intelligent data finds application in various industries, such as healthcare, manufacturing, and the finance sector. In healthcare, it can be used to develop personalised therapies by consolidating patient data in the correct context [5]. In manufacturing, it supports process optimisation and trend forecasting to increase efficiency [4].
BEST PRACTICE at the customer (name hidden due to NDA contract)An energy supplier uses intelligent data to analyse consumption data and control grids more efficiently. This allows for better integration of renewable resources and increased customer satisfaction.
Intelligent data in everyday life
In everyday life, companies use intelligent data to better understand customers and meet their needs. By analysing customer data, personalised marketing strategies can be developed that are specifically tailored to customer preferences [3]. Furthermore, intelligent data supports the optimisation of supply chains by improving goods flow and inventory management, thereby reducing costs and increasing customer satisfaction [4].
Advantages of Intelligent Data
The advantages of intelligent data lie in their ability to support informed decisions and optimise business processes. They enable companies to increase their efficiency and gain competitive advantages [5]. Furthermore, they can contribute to more efficient resource planning and early trend identification in order to react to changes in a timely manner [3].
BEST PRACTICE at the customer (name hidden due to NDA contract)A retailer uses intelligent data to account for regional specificities in promotions. This leads to an increase in customer satisfaction and loyalty.
Intelligent data and big data
Big Data forms the foundation for Intelligent Data. Large volumes of data are analysed and transformed into valuable insights to support companies in their decision-making [1]. Big Data is applied in various fields, such as the Internet of Things (IoT), the financial sector, or scientific research [2].
Differences between Big Data and Intelligent Data
While Big Data focuses on processing large and diverse datasets, Intelligent Data concentrates on the targeted use and analysis of this data to achieve specific goals [4]. Intelligent Data, therefore, represents the outcomes of targeted analysis and processing of Big Data to extract relevant information and utilise it for specific applications.
Intelligent Data in the Enterprise
Companies use intelligent data to optimise their processes and make informed decisions. By employing techniques such as data mining and machine learning, they can extract valuable insights from large datasets to increase their efficiency and gain a competitive advantage [5].
BEST PRACTICE at the customer (name hidden due to NDA contract)An insurer uses intelligent data to more accurately assess risks and develop personalised offers. This leads to an increase in customer satisfaction and retention.
My analysis
In summary, Intelligent Data supports companies in decision-making and the optimisation of business processes. Through the targeted analysis of Big Data, they can gain valuable insights to increase their efficiency and achieve competitive advantages. The integration of Intelligent Data into everyday business operations enables a better understanding of customers and the fulfilment of their needs, which ultimately leads to increased customer satisfaction and loyalty.
Further links from the text above:
– Smart data: definition, application and difference to big data
– Big Data: Definition, Application, Tips
– What is smart data? Definition, application and advantages
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