In today's business world, data intelligence is playing an increasingly important role in coping with the growing flood of information. Decision-makers are faced with the challenge of gaining valuable and action-oriented insights from huge amounts of data, often referred to as big data. This can be achieved by transforming big data into smart data - the intelligent use of data that lays the foundation for well-founded decisions.
Understanding data intelligence: From a mountain of data to a valuable resource
Companies collect immense amounts of data every day, whether in retail, industry or the healthcare sector. Big data describes this enormous, often unstructured and complex information. However, large amounts of data alone do not provide any added value if they are not analysed and interpreted in a targeted manner. This is where data intelligence comes in: it supports decision-makers in filtering out the data that is really relevant and provides real benefits as smart data.
In retail, for example, data intelligence can be used to analyse customer behaviour in detail. This enables the development of personalised marketing campaigns that cater to individual preferences. A logistics company can use smart analyses of delivery data to identify bottlenecks at an early stage and increase the efficiency of supply chains. In manufacturing, predictive analyses of machine data help to plan maintenance work in a targeted manner and reduce unplanned downtime.
BEST PRACTICE at the customer (name hidden due to NDA contract) and then the example with at least 50 words.
The role of smart data in data-driven corporate management
While big data stands for the volume of data collected, smart data focuses on the quality, precision and usability of the information. Data intelligence uses algorithms, artificial intelligence and machine learning to filter complex data flows and generate structured, usable insights.
In finance, for example, intelligent data analysis helps to recognise fraud patterns in real time. Marketing managers use smart data to tailor campaigns to different customer segments and thus increase the conversion rate. In the healthcare sector, intelligent data solutions improve patient care through the targeted analysis of electronic health records and sensor data.
BEST PRACTICE at the customer (name hidden due to NDA contract) In the manufacturing industry, the introduction of data-intelligent systems has significantly reduced machine downtime. Sensors continuously recorded the condition of the systems. This enabled maintenance to be scheduled as required and production-critical faults to be avoided.
Impulses for action for decision-makers: efficient use of data intelligence
Decision-makers should focus on continuously improving data quality and defining clear objectives for analysis projects. The involvement of interdisciplinary teams, the combination of specialist knowledge with modern analysis technologies and the prioritisation of relevant data sources are essential.
A retail company that uses data intelligence can, for example, identify weaknesses in its product range by analysing returns and customer feedback. This enables improvements that strengthen customer loyalty. A telecommunications provider can use targeted analysis of usage and network data to individualise offers and increase customer satisfaction. Service providers also benefit by using smart data to increase the efficiency of internal processes.
BEST PRACTICE at the customer (name hidden due to NDA contract) A company from the service sector used data intelligence to integrate comprehensive customer analyses. As a result, service offers could be better targeted and response times to customer enquiries reduced.
Data intelligence as a driver of sustainable corporate success
Data intelligence helps managers to recognise risks at an early stage, drive innovation and make better use of market opportunities. It creates a solid basis for transparent and fact-based decisions. It is important not only to record data technically, but also to place it in a company-relevant context and to implement the insights gained in a practical way.
Data intelligence also supports companies in digital transformation projects by empowering multipliers and decision-makers to successfully introduce and manage data-based strategies. Many report that they experience greater certainty in complex decisions and measurable process improvements thanks to data intelligence support.
My analysis
The ability to transform big data into smart data is essential for decision-makers today. Data intelligence opens up ways of analysing complex data volumes in a targeted manner and thus achieving strategic advantages. The targeted use of smart data not only promotes efficiency gains, but also supports the sustainable design of business processes and innovations. Companies that recognise this potential at an early stage and allow it to accompany them are better equipped for future-oriented business.
Further links from the text above:
What is smart data?
Big data vs. smart data: is more always better?
From big data to smart data with data intelligence
Big data: the utilisation of large amounts of data
Data intelligence: How decision-makers use big & smart data
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