Today, data intelligence is a decisive factor for companies that want to assert themselves in an increasingly digital world. It describes the ability to collect and analyse large amounts of data in a targeted manner and transform it into valuable insights. Many organisations use data intelligence to optimise their processes, improve decisions and identify new opportunities. The combination of big data and smart data forms the basis for sustainable success.
Data intelligence in practice
Companies from various sectors are already successfully using data intelligence. In retail, for example, experts analyse the purchasing behaviour of customers in order to develop personalised offers. This enables them to increase customer satisfaction and sales. In industry, too, sensor data from machines is used to identify maintenance requirements at an early stage and minimise downtime. In the healthcare sector, intelligent data analyses help to identify disease patterns and adapt therapies in a targeted manner.
Another example is the energy sector. Here, consumption patterns are analysed in order to better predict demand and optimise the use of renewable energies. The result: cost efficiency and sustainability increase. In mobility management, too, data intelligence cuts costs and reduces CO₂ emissions through intelligent route planning and vehicle monitoring.
Data intelligence and decision-making
Data intelligence helps companies to make decisions based on facts. It replaces gut feelings with well-founded analyses. This enables managers to better assess risks and utilise opportunities in a targeted manner. Modern tools and algorithms help to recognise patterns and trends. The result: companies become more agile and react more quickly to market changes.
In practice, this means that companies improve their data quality, eliminate duplicates and organise processes transparently. Data intelligence creates the basis for modern data architectures such as data mesh or data fabric. It enables intelligent linking and searching of data across system boundaries.
Data intelligence and innovation
Data intelligence is a driver of innovation. It helps to develop new products and services. Companies use intelligent data analyses to better understand customer needs and adapt solutions in a targeted manner. This creates innovative business models and new markets.
An example from medical technology shows how data intelligence increases the value of image data. Intelligent analyses make diagnoses more precise and therapies more effective. Data intelligence tools are also used in the financial sector to recognise fraudulent transactions and protect customer data.
Data intelligence also promotes collaboration between IT and specialist departments. Platforms enable dialogue and the exchange of knowledge. This results in joint solutions that increase the company's success.
Data intelligence and governance
Data intelligence creates transparency and improves data quality. It supports rule-based data management through guidelines and governance. Access rights are controlled based on roles and sensitive data is classified. This ensures that data is only used for the right purposes.
Monitoring and KPIs help to measure progress. Companies recognise where improvements can be made and initiate targeted measures. Data intelligence thus becomes a key success factor for efficiency, innovation and competitiveness.
BEST PRACTICE with one customer (name hidden due to NDA contract) A medium-sized company from the logistics sector used data intelligence to optimise its supply chains. By analysing sensor data and traffic data, delivery routes could be made more efficient. As a result, costs were reduced, delivery times were shortened and customer satisfaction increased. Collaboration between IT and specialist departments was promoted through transparent data platforms. This resulted in joint solutions that increased the company's success.
My analysis
Today, data intelligence is indispensable for companies that want to hold their own in a digital world. It helps to utilise large volumes of data in a targeted manner and convert them into valuable insights. The combination of big data and smart data forms the basis for sustainable success. Companies that actively utilise data intelligence become more agile, innovative and competitive. They recognise opportunities at an early stage and react flexibly to market changes.
Further links from the text above:
Data intelligence: what is it?
Data intelligence: making targeted use of big data & smart data
How to secure your lead with Big & Smart Data
What is data intelligence and what does it mean?
Smart data - definition of terms in the AI glossary
Data intelligence in mobility management
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