Data intelligence in practice: the path from big data to smart data
The importance of data intelligence is growing rapidly in almost all industries. Companies often come to us with questions about the efficient use of large amounts of data. They want support in understanding which data is really relevant and how they can use it specifically for their projects. KIROI coaching provides impetus and support in the realisation of these complex artificial intelligence projects.
From the flood of data to relevant insights: What does data intelligence mean?
Data intelligence describes the ability to extract meaningful and actionable information from the enormous amount of data. While big data usually simply describes large and diverse amounts of data, data intelligence focuses on the quality of the data - in other words, on smart data. This transformed form of data has been prepared at the point of origin in such a way that it can be utilised immediately. This enables companies to make faster and more targeted decisions.
An automotive company, for example, collects large amounts of sensor data from its vehicles. Thanks to intelligent data processing, only the relevant information that helps with maintenance planning or improves product development, for example, is filtered out.
Utilising data intelligence: Practical examples from various industries
Data intelligence can be utilised in a variety of ways. Three examples from industry show how companies can benefit from this development:
In the financial sector, huge amounts of transaction data are analysed by intelligent algorithms in order to detect and prevent fraud attempts in real time. In addition, precise data analysis supports the development of better investment models that are tailored to individual customer goals.
In the retail sector, data-intelligent utilisation of customer data makes it possible to tailor offers and marketing campaigns to specific customer segments. This allows inventories to be optimised and sales to be increased.
KIROI BEST PRACTICE at company XYZ (name changed due to NDA contract) In one project, KIROI assisted an industrial manufacturing company with the introduction of data-intelligent processes. Analysing the originally confusing machine data made it possible to precisely predict maintenance cycles and thus significantly reduce downtimes. At the same time, the analysis supported quality control, which increased overall efficiency and saved costs.
In the healthcare sector, large amounts of patient data flow into analytical models thanks to data intelligence. This allows risk factors to be identified at an early stage and individualised treatment plans to be drawn up.
Data intelligence in the course of a project: How KIROI supports
Many companies report that the biggest challenge when dealing with data is getting started in the right way. They are often unsure how they can meaningfully refine their existing databases. This is where KIROI's coaching comes in. It helps to organise data intelligence projects in a structured way. The focus is not on short-term guarantees of success, but on long-term support and providing important impetus.
An important aspect of coaching is reducing the complexity of big data and focussing on the core issues. Companies are encouraged to systematically check the data quality and relevance of the information and to free themselves from data volumes that do not allow clear recommendations for action.
KIROI BEST PRACTICE at ABC (name changed due to NDA contract) As part of a digitalisation project, KIROI supported the introduction of data-intelligent solutions at a service provider. The development of a data governance concept played a key role here. This helped to understand and harmonise different data sources and optimise data usage processes. This enabled the customer to manage its processes more efficiently and improve decision-making.
In view of dynamic market conditions and increasing volumes of data, the ability to utilise data intelligence is becoming increasingly important for companies. It is not a rigid recipe, but a path that can be continuously adapted and improved.
Key points on the topic of data intelligence
Data intelligence requires companies to have clear objectives and a willingness to collect not just any information, but only the information that is relevant. The use of artificial intelligence can help to filter and interpret the flood of data.
In practice, it has been shown that companies benefit in particular from the following aspects: better predictions of market and customer behaviour, real-time analysis of processes and therefore the ability to react quickly and efficiently. The automation of processes through smart data is also a key advantage.
KIROI BEST PRACTICE at startup DEF (name changed due to NDA contract) KIROI supported a young company in the tech sector in the development of data-intelligent solutions to optimise the user experience. Data analyses helped to better understand user behaviour and develop individualised product features. This support enabled the start-up to respond more quickly to customer needs and increase its competitiveness.
The successful use of data intelligence is therefore no coincidence, but the result of systematic work, supporting technologies and clear guidance.
My analysis
Data intelligence represents an exciting opportunity for many companies to actively shape the digital transformation. This shows that projects involving the intelligent use of data are best realised with a partner like KIROI, which not only provides technical impetus but also supports practical implementation. Understanding which data is really relevant and how it can be integrated is an essential key to success.
Further links from the text above:
[1] What Is Smart Data - DATAVERSITY
[2] AI and SEO optimisation for increased online visibility
[3] Big Data vs. Smart Data: Key Insights for Operational Optimisation
[5] Big Data vs. Smart Data: Is More Always Better?
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