Today, data intelligence is regarded as a key competence for gaining valuable insights from the flood of information. KIROI 3 combines the power of big data and smart data, opening up new opportunities for companies to utilise their data strategically and intelligently. Data intelligence is at the centre of this because it helps to structure complex data volumes, recognise patterns and derive recommendations for action.
Data intelligence as a success factor in the digital transformation
Companies from a wide range of industries are increasingly relying on data-driven processes to increase their efficiency and competitiveness. For example, a large logistics provider uses sensor data, weather information and traffic analyses to adapt delivery routes in real time. This combination of big data with intelligent analysis techniques precisely describes the potential of data intelligence.
In retail, on the other hand, retailers analyse the purchasing behaviour of their customers in order to precisely control their product range and marketing campaigns. In addition, data-intelligent systems enable dynamic pricing based on demand and stock levels. Streaming services such as Netflix also benefit from such algorithms by providing personalised recommendations, strengthening user loyalty and optimising the user experience.
In the healthcare sector, patient data from various sources is combined to develop personalised treatment plans. This smart data connection noticeably increases the quality of medical care, while at the same time reducing the susceptibility to errors in diagnoses. These examples show how data intelligence brings practical benefits and supports processes in different sectors.
AI and data intelligence: the connection between big data and smart data
AI technologies play a decisive role in making big data usable for companies. While big data comprises a lot of structured and unstructured information, smart data uses targeted filtering and analyses to ensure that only relevant and high-quality data is processed further. KIROI 3 is an example of a platform that combines both aspects and thus actively promotes knowledge acquisition and decision-making processes.
For example, companies can use predictive models to forecast market developments or identify potential risks. In the financial sector, this helps to better assess creditworthiness and recognise attempted fraud. In the energy sector, intelligent data evaluation optimises consumption and increases security of supply.
BEST PRACTICE with one customer (name hidden due to NDA contract) shows how a single industrial client uses AI-based data intelligence to monitor its production processes, identify error patterns at an early stage and thus significantly reduce machine downtime. This data-driven support helps the company to reduce costs and maintain consistent product quality.
Application examples that bring data intelligence to life
The link between big data and smart data can also be seen in mobility management. Traffic flows can be analysed using sensors and AI-supported algorithms to avoid traffic jams and reduce CO₂ emissions. Companies from the public sector are using these approaches to improve their services based on data.
Another example is the automatic classification of emails in customer service. By using machine learning, enquiries are assigned and processed more quickly, which increases customer satisfaction and saves resources.
In the area of IT infrastructure, data-intelligent tools make it possible to precisely analyse system dependencies. This allows bottlenecks or overloads to be recognised at an early stage. This significantly increases the availability and stability of the IT landscape.
How transruptions coaching supports data intelligence projects
Many companies approach us with complex challenges when it comes to successfully implementing data intelligence. Practicable strategies for integrating big data and smart data solutions into operational business are often lacking. This is where transruptions coaching comes in by directly supporting projects and providing individual impulses for sustainable project management.
We recently received enquiries from the production, finance and retail sectors. In one case, we supported a medium-sized company that was unable to optimally link its existing data sources. Through targeted analyses and methodical support, we were able to make the data flows more efficient and thus create a better basis for decision-making.
In retail, clients reported that the introduction of data-intelligent processes increases customer satisfaction because products are presented in a more relevant way. This leads to sustainably stronger customer loyalty.
My analysis
Data intelligence unfolds its full potential when big data and smart data flow together in a meaningful way. KIROI 3 impressively demonstrates how intelligent data processing can be used to generate valuable insights and achieve strategic advantages. Companies benefit from this by making better decisions and organising their processes more efficiently.
Practical examples from logistics, retail, healthcare, mobility and IT show how diverse and useful data intelligence is already being used today. The accompanying support provided by transruptions coaching can make this path easier - especially when it comes to integration into existing structures and complex projects. In this way, data intelligence becomes a tool that accompanies companies into the future and constantly provides new impetus.
Further links from the text above:
[1] Data intelligence: what is it?
[2] What is data intelligence?
[5] Unleash data intelligence: Mastering Big Data & Smart Data
[7] What is Data Intelligence? (IBM)
[8] Data intelligence in practice
[13] Big data & smart data for smart decisions
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