The modern business world is characterised by a constantly growing data flood, which presents companies with major challenges. The targeted use of data offers far more than mere data collection – this is where the term Data intelligence In the third step of the KIROI approach, the combination of Big and Smart Data, the potential arises not only to capture data but to intelligently refine and strategically utilise it.
Data intelligence as the key to efficient data utilisation
The ability to capture large volumes of raw data in a structured manner is effectively enhanced by integrating intelligent analytical methods such as machine learning, artificial intelligence, and metadata management. This allows companies not only to gain a comprehensive picture of their business processes but also to identify hidden patterns. For example, a logistics company uses Big Data to optimise transport routes in real time, thereby reducing fuel costs, while an e-commerce provider uses Smart Data to generate personalised product recommendations and improve the customer journey. A financial services provider also continuously analyses transaction data to detect and prevent fraud early on.
In this context, it is crucial that the insights gained are made accessible and understandable to all relevant decision-makers. This promotes a company-wide data culture change and supports daily practice across a variety of sectors.
Big & Smart Data: The perfect symbiosis for more data intelligence
Big Data often refers to the sheer volume of collected information, which originates from a wide variety of sources. Smart Data, on the other hand, makes this data usable by specifically filtering, quality assuring, and contextualising it. This is how companies transform raw data into valuable insights.
An example from the automotive industry demonstrates how sensor data from vehicles can be combined with environmental information to plan preventive maintenance and minimise downtime. In healthcare, the intelligent evaluation of large patient data sets allows for individualised therapies and significantly improves the quality of care. In production, too, Smart Data is used to detect process deviations early on, thereby increasing efficiency and minimising scrap.
BEST PRACTICE with one customer (name hidden due to NDA contract) As part of the KIROI approach, a medium-sized mechanical engineering company integrated Big & Smart Data to evaluate sensor data from multiple production lines in real-time. The results included reduced downtime, optimised maintenance cycles, and improved product quality, thereby sustainably strengthening the company's competitiveness.
Practical impulses for implementing data intelligence
Introducing data intelligence is best achieved step by step and with a clear objective in mind. Here are some tried-and-tested recommendations:
- Define and secure data sources: Clarify what data is needed and how it can be collected in compliance with GDPR.
- Ensure data quality: Improve information reliability through automated cleaning processes and data profiling.
- Introducing modern analysis platforms: Technologies for AI-powered evaluations and dashboards are promoting the rapid interpretation of data.
- Involving stakeholders: Training and regular communication make it easier to accept data-driven decision-making processes.
- An iterative approach: pilot projects help to gather practical knowledge and continuously refine the approach.
In retail, for example, smart data analyses allow us to understand customer purchasing behaviour regionally and seasonally. This enables a fashion house to dynamically adapt its assortment planning and streamline supply chains. Technology companies, in turn, use data-intelligent tools to identify customers with a high probability of churn and initiate targeted retention measures. In public administration, data-intelligent applications help analyse traffic flows and make urban planning more efficient.
My analysis
Data intelligence truly unlocks its full potential when Big Data and Smart Data are closely intertwined. Companies benefit from faster, more informed decisions, as well as reduced risks and costs. Practical, solution-oriented approaches and a clear strategy are key to success. The increasing importance of data-driven processes is evident across all sectors, from industry and retail to services and the public sector. The KIROI concept serves as a helpful guide to sustainably establish data intelligence and thus secure competitive advantages.
Further links from the text above:
What is data intelligence and what does it mean? [1]
What is Data Intelligence? | Definition and Benefits [2]
Why Data Intelligence is the Key to Your Business Success [3]
Data Intelligence: How Decision-Makers Use Big & Smart Data… [4]
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