Today, data intelligence is an indispensable skill for companies that want to be successful in the digital world. The focus here is on how valuable information can be obtained from a large and heterogeneous data pool. In KIROI step 3 in particular, companies are supported in transforming big data and smart data. This approach opens up significant added value in the analysis, control and optimisation of a wide range of processes.
Data intelligence: From the flood of data to strategic benefits
The reality for many companies is an enormous amount of data from a wide variety of sources: Systems provide transaction data, IoT devices generate sensor data, customer interactions are digitally documented. This sheer volume of data is referred to as big data. Analysing it is often complex and resource-intensive. This is where data intelligence comes in, by ensuring that big data is transformed into smart data - in other words, into high-quality, relevant information that supports the company. This allows decision-makers to gain precise insights and be provided with recommendations for action.
A typical example is a manufacturing company that uses sensor data from machines. Data-intelligent algorithms enable anomalies to be recognised at an early stage and maintenance to be planned in a targeted manner. This reduces downtime and cuts costs. Another example can be found in retail: by analysing purchasing patterns, personalised offers can be developed that increase customer satisfaction and sales. Data intelligence is also used in the financial sector to recognise cases of fraud by identifying irregular patterns in transaction data.
The particular challenge lies in preparing the data in such a way that it is not only technically accessible, but also understandable and usable for all relevant areas of the company. This is where the shift towards a data-driven corporate culture comes in. Modern technologies such as artificial intelligence (AI) and machine learning help to recognise patterns and create forecasts that make decisions more informed.
KIROI step 3: Practical support for success with data intelligence
As part of the support offered by the KIROI approach, step 3 stands for the active unleashing of data intelligence. Teams are supported in critically analysing existing data and transforming it into valuable insights. The focus is on integrating technologies and methods in order to utilise big data potential and incorporate it into smart business processes.
In practice, this approach works across all industries: thanks to data-intelligent processes, one logistics company was able to optimise route planning by linking traffic data, vehicle statuses and delivery priorities. This led to shorter delivery times and significant cost reductions. At the same time, an insurance agency benefited by using data-based precision analyses to better assess customer risks and thus offer more individualised policies. A service company, on the other hand, uses data intelligence to automatically analyse customer enquiries and manage service offerings more effectively.
BEST PRACTICE with one customer (name hidden due to NDA contract) Here we supported a medium-sized mechanical engineering company. Using data-intelligent solutions, sensor data from production systems was systematically analysed, enabling preventive maintenance in real time. The result: significantly higher plant availability and lower downtime costs.
How companies can implement data intelligence in practice
Technological foundations are the prerequisite for allowing data intelligence to realise its full potential. This includes automated data integration, data quality assurance and the implementation of AI-driven analysis tools. Data governance and transparent processes also play a key role in ensuring that data can be used securely, comprehensibly and effectively.
An example from the retail sector shows how intelligent data selection can be used to implement personalised marketing campaigns. The segmentation of customers based on purchasing behaviour and preferences leads to more targeted offers and improves customer loyalty. The manufacturing industry also benefits from permanent monitoring of production lines through data intelligence, which enables flexible adaptation to market requirements. Finally, providers of financial services use predictive models to recognise potential payment defaults at an early stage and derive individual measures.
KIROI Step 3 provides the impetus for combining the right tools in a meaningful way, empowering employees and optimising processes step by step. In this way, companies develop sustainable data expertise that provides all decision-making levels with reliable information.
My analysis
Data intelligence is not an end in itself, but a strategic lever. It transforms confusing amounts of data into clear insights that make companies more efficient, agile and innovative. The third step in the KIROI process shows how practical and motivating this approach can be. Those who utilise this approach create the basis for staying ahead of the competition and tackling future challenges with greater strength. Personal guidance and targeted support help to establish data intelligence in a meaningful and sustainable way.
Further links from the text above:
What is data intelligence and what does it mean? [1]
Data intelligence - big data and smart data for decision-makers [7]
What is data intelligence? [4]
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