In the digital age, decision-makers are faced with a major challenge: how can huge amounts of data be utilised sensibly? This is where data intelligence comes into play. It describes the ability to generate precise and contextualised smart data from the flood of big data. It's not just about the sheer quantity, but also about the quality and meaningfulness of the information. Data intelligence supports companies in making well-founded decisions and developing innovative solutions.
Big data and smart data: the crucial difference
Big data refers to large, heterogeneous and often unstructured volumes of data. This raw information comes from numerous sources such as IoT sensors, transactions or user interactions. Without analysis, however, it offers little direct benefit. Smart data, on the other hand, is high-quality, filtered and contextualised information that is extracted from big data. It is precise, relevant and enables fast and reliable decisions.
Examples from practice
In the financial sector, transaction data is analysed in order to detect attempted fraud at an early stage. In retail, smart data helps to understand the purchasing behaviour of certain customer groups and to develop targeted marketing campaigns. In Industry 4.0, sensor data from production facilities is used to predict maintenance requirements and minimise downtimes.
Data intelligence: From a mountain of data to valuable knowledge
Data intelligence is the key to creating real added value from big data. It supports decision-makers in acting more efficiently, securely and with foresight. In numerous industries, the targeted use of smart data facilitates strategic decisions and operational processes.
Practical use cases
An energy supplier uses data intelligence to combine weather data, consumption measurements and market prices. This enables them to determine the best time to purchase energy or utilise the grid. A retailer analyses customer movements in the shop to optimise the product range and shop lighting. A hospital evaluates patient data to personalise treatment plans and use resources more efficiently.
How data intelligence supports companies
Data intelligence helps to ensure data quality and communicate results in an understandable way. Only reliable, complete and up-to-date data leads to reliable results. Data intelligence must be translated into understandable impulses for action so that decision-makers can act quickly and confidently.
Best practices and tips
A telecommunications company uses data intelligence to monitor network utilisation and manage capacities in a targeted manner. An insurer analyses claims data to better assess risks and adjust premiums. A logistics service provider optimises routes and delivery times through intelligent data analysis.
BEST PRACTICE at the customer (name hidden due to NDA contract) A medium-sized company in the healthcare sector used data intelligence to analyse patient data and personalise treatment plans. Through the targeted use of smart data, they were able to shorten treatment times and increase patient satisfaction. Data quality was continuously monitored and improved, making the results increasingly reliable.
My analysis
Data intelligence is a decisive factor for the success of modern companies. It makes it possible to generate precise and contextualised smart data from the flood of big data. This supports decision-makers in making well-founded decisions and finding innovative solutions. The targeted use of data intelligence leads to greater efficiency, better quality and faster results.
Further links from the text above:
Big data vs. smart data: is more always better?
Smart data: definition, application and difference to big data
Big data: the utilisation of large amounts of data
Unleashing data intelligence: Big Data & Smart Data for Decision Makers
Data intelligence: big data and smart data for decision-makers
Big and smart data - from statistics to data analysis
Smart data, or the intelligent use of data
From big data to smart data - finding the needle in the haystack
Big Data & Smart Data specifically for decision-makers
Smart data - definition of terms in the AI glossary from clickworker
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