The use of smart data opens up new opportunities for companies to utilise information intelligently and helps them to achieve sustainable competitive advantages. This intelligently prepared data not only makes it possible to search through large amounts of data, but also to gain targeted, relevant insights that help in the management of projects and strategic decisions. In a highly competitive environment, data-intelligent decision-making processes play a central role by supporting managers in risk assessment, opportunity recognition and resource-saving actions[1][2][3].
Smart data in the company: Efficiency and innovation
Smart data is more than just a collection of data; it is high-quality, context-rich and actionable information that helps companies to act strategically and proactively. By combining modern technologies such as artificial intelligence and machine learning, companies can use this data effectively to make informed decisions and increase their efficiency[5][7].
One example of this is the use of smart data in industry for predictive maintenance. A production company can use sensor data to significantly reduce unplanned downtime by planning targeted maintenance measures[7]. The situation is similar in retail, where smart data is used for market segmentation in order to identify regional sales patterns and better control advertising campaigns[6].
Application of smart data in various industries
Insurers use smart data to assess risks more accurately and develop individualised offers. This leads to improved customer loyalty and satisfaction[1]. In the telecommunications sector, smart data supports capacity planning through real-time analyses of network usage and customer feedback in order to offer the service more efficiently[1].
In healthcare, intelligent data helps in the development of personalised therapies by bringing together patient data in the right context. This leads to improved treatment outcomes and higher patient satisfaction[1].
Data intelligence through smart data
The combination of big data and smart data forms the basis for a distinctive data intelligence that decision-makers urgently need. The intelligent selection, processing and interpretation of data enables well-founded decisions to be made, efficiency to be increased and innovation to be driven forward[2].
BEST PRACTICE at the customer (name hidden due to NDA contract) A leading retail company used data intelligence to identify seasonal sales patterns. The data-based forecast led to optimised order quantities and minimised excess stock in the long term[2].
Smart data to increase competitiveness
The use of smart data enables companies to stand out in a highly competitive environment. Through more precise customer analyses, more efficient operating processes and innovative business models, they can react more quickly to market changes and exploit strategic advantages[4][6].
Practical tips for the use of smart data
In order to utilise smart data effectively, companies should ensure the quality and relevance of their data. This can be achieved by integrating different data sources and using AI-supported data preparation[4].
A further step is the development of business strategies based on the findings from smart data. This could include, for example, adapting products to customer needs or optimising processes to increase efficiency[3].
My analysis
Overall, smart data offers companies the opportunity to set themselves apart from the competition through well-founded decisions and targeted process optimisation. By combining modern technologies and data-intelligent strategies, companies can increase their competitiveness and tap into new business opportunities[2][3].
Further links from the text above:
Smart data: competitive advantages through intelligent data
Data intelligence - big data and smart data for decision-makers
What is smart data? Definition, application and advantages
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