Data intelligence unleashed is the strategic handling of data volumes in order to make business decisions more efficient and well-founded. It forms the basis for gaining real insights from the wealth of information available. KIROI Step 3 in particular is about combining big data and smart data in a targeted manner and thus establishing a data-intelligent strategy in companies.
Why data intelligence is indispensable today
Data intelligence enables companies to analyse large volumes of data in a structured way and convert it into valuable knowledge. This ability helps decision-makers to better reduce risks and ensure agile responses to market changes. Many companies report that data-intelligent approaches enable them to noticeably accelerate decision-making processes and minimise sources of error at the same time. This not only saves the company time, but also makes it more competitive.
An example from industry illustrates this: Production data is analysed in real time in order to plan maintenance work at an early stage. This significantly reduces downtime, which cuts costs. In the service sector, data-intelligent systems are used to provide automated and targeted responses to customer enquiries. At the same time, financial institutions use predictive models to reliably assess credit risks and optimise financial decisions.
KIROI Step 3: Optimally combine big data and smart data
The third step of KIROI focuses on the combination of big data and smart data. Big data describes the gigantic amount of unstructured data that is generated every day, while smart data specifically filters and structures this data quality and prepares it for specific use. Only in combination can real data intelligence be created that goes far beyond the mere collection of information.
BEST PRACTICE with a customer (name withheld due to NDA agreement): A leading online retailer used KIROI Step 3 to develop personalised marketing measures from the combination of sales and usage data. This led to a noticeable increase in customer loyalty and a higher conversion rate, as campaigns were customised precisely to individual preferences.
In the energy sector, utilities are using data-intelligent systems to better manage energy flows and avoid downtime. Similarly, large banks work with data intelligence to fulfil compliance requirements and detect attempted fraud at an early stage. These examples show how data intelligence contributes to sustainable success across all industries.
The right technologies and processes for data-intelligent decisions
Technologies such as artificial intelligence and machine learning are revolutionising the use of data intelligence. They make it possible to recognise hidden patterns and trends in large data pools and proactively improve business processes. Equally important is the elimination of data silos through centralised data platforms. This makes it easier for everyone involved to access relevant information and promotes collaboration.
In the financial sector, for example, data intelligence supports fast and precise risk assessment. Those responsible here often report that data-driven processes make a significant contribution to avoiding financial losses. At the same time, the logistics sector uses data-intelligent technologies to plan supply chains more efficiently and identify bottlenecks at an early stage.
Tips for the successful use of data intelligence
In order to successfully unleash data intelligence, companies should develop a clear roadmap and ensure the quality of the data. This involves standardising data formats, eliminating duplicates and establishing consistent data maintenance. This is the only way to create the basis for reliable analysis processes.
Another important point is the promotion of a data-friendly mindset. Acceptance among employees has a direct impact on success because data-intelligent applications are difficult to realise their full potential without the involvement of all specialist departments. Best practice shows that close collaboration between IT and specialist departments is essential.
We also recommend investing in scalable infrastructures that can include both on-premise and cloud solutions. The flexible use of state-of-the-art technologies such as containers and automated data pipelines ensures efficiency and agility.
My analysis
Data intelligence offers companies valuable support in utilising the enormous potential of the collected data. KIROI Step 3 in particular shows how the intelligent combination of big data and smart data not only optimises processes, but also opens up new strategic opportunities. Decision-makers benefit from accelerated processes, reduced risks and improved cost control.
The examples from various industries illustrate how differently and effectively data-intelligent approaches can be used. It is important to choose the right technologies, ensure high-quality data and promote an open corporate culture. In this way, data intelligence can be established as a key driver for sustainable corporate success.
Further links from the text above:
What is data intelligence and what does it mean?
Data intelligence - with KIROI Step 3 to Big & Smart Data
Practical examples for data-intelligent applications (harmless)
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