Today, data intelligence is a key element in gaining valuable insights from the growing flood of data and securing strategic advantages. With the targeted use of modern technologies and methodical support, data intelligence creates decisive added value for companies of all sizes. In particular, steps such as those taken by KIROI show how a structured approach can combine big data and smart data to enable intelligent business processes.
Data intelligence: more than just collecting data
Many companies today have extensive data collections, but real potential can only be realised through intelligent use. Data intelligence means analysing and classifying this raw data in a targeted manner and placing it in the right context. This results in meaningful information that supports decisions and makes processes more efficient.
In medical technology, for example, data-intelligent algorithms are used to analyse image data and increase diagnostic reliability. In logistics, data-based models improve route planning and reduce delivery times. In e-commerce, too, the analysis of customer behaviour allows personalised offers to be created, which strengthens customer loyalty and increases sales[3][5][9].
Step 3 with KIROI: Combining big & smart data
The third step at KIROI focusses on optimally combining big data and smart data. Big data stands for the sheer volume of information collected, while smart data describes the structured and qualitative selection and processing of this data. Together, they enable a data-intelligent strategy that goes far beyond traditional data collection.
An example from industry shows how production data is analysed in real time in order to plan maintenance work with foresight. This reduces downtime and costs. In the service sector, customer enquiries can be answered more quickly and in a more targeted manner thanks to automated data analyses. In the financial sector, predictive models help to better assess credit risks and thus minimise risk[3][9].
BEST PRACTICE with one customer (name hidden due to NDA contract) As part of KIROI Step 3, a leading online retailer used data-intelligent methods to develop personalised marketing campaigns from the combination of sales and usage data. This significantly increased customer loyalty and the conversion rate.
Using data-intelligent technologies for better decision-making
The right tools are essential. Artificial intelligence and machine learning are increasingly supporting the analysis of large amounts of data. This enables companies to recognise patterns and trends that previously remained hidden. This enables them to proactively improve business processes and make risks more manageable.
Data intelligence also promotes collaboration within organisations, as centralised platforms make data more transparent and accessible for everyone involved. This supports fast and well-founded decisions. For example, regional utilities use data-intelligent systems to optimise energy flows and minimise downtime. Banks use such systems for compliance and fraud detection[6][8].
Practical tips for the implementation of data intelligence
A systematic roadmap is recommended to successfully unleash data intelligence:
- Define clear goals as to which business problems are to be addressed by data intelligence.
- Implement a data strategy that includes both big data and smart data.
- Use AI-supported analysis tools to evaluate data in real time.
- Involve relevant stakeholders to establish a data culture in the company.
A manufacturer of industrial equipment integrated data-intelligent processes to reduce maintenance costs through early fault detection. A logistics service provider used data-based analyses to improve route planning and reduce transport times. An insurance company optimised claims processing using predictive data models, thereby significantly increasing customer satisfaction[3][9].
My analysis
Data intelligence is not a dream of the future, but a practical tool for improving business processes and decision-making. KIROI Step 3 demonstrates how the combination of big data and smart data can create sustainable competitive advantages. Companies that boldly invest in these technologies and methods create a database that optimises processes, minimises risks and promotes innovation. In this way, data-intelligent coaching effectively supports companies on their way to greater efficiency and agility.
Further links from the text above:
Unleashing data intelligence: KIROI 3 - Big data meets smart data
What is data intelligence and what does it mean?
Data intelligence or the art of turning data into gold
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