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KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » Unleash data intelligence: Mastering Big Data & Smart Data

27 September 2024

Unleash data intelligence: Mastering Big Data & Smart Data

Digital Leadership Big data and smart data Digital transformation HR work and Teams 4.0 Industry and Factory 4.0 Artificial intelligence AI Glossary

In the digital age, data intelligence is gaining increasing importance. Companies face the challenge of extracting real added value from vast amounts of data. Data intelligence describes the ability to generate precise and contextually relevant smart data from the flood of big data. This is not just about the sheer volume, but particularly about the quality and expressiveness of the information. This intelligently processed data 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

A manufacturer collects data from machines and sensors. This raw data alone is not yet helpful. Only through intelligent analysis does Smart Data emerge, which predicts maintenance needs and prevents failures. A retailer analyses customer data to create individual offers. The raw data is confusing, but through targeted filtering and AI-supported processes, Smart Data emerges, enabling personalised marketing measures. A telecommunications provider analyses usage data to optimise networks. The raw data is confusing, but through targeted filtering and AI-supported processes, Smart Data emerges, increasing performance.

Data intelligence: From a mountain of data to valuable knowledge

Data intelligence is the key to deriving real added value from big data. It helps decision-makers to act more efficiently, securely, and with foresight. In numerous sectors, the targeted use of smart data facilitates strategic decisions and operational processes. A consistent data strategy, combined with modern technology, helps to successfully leverage the potential of modern data worlds.

Practical use cases

A logistics company uses data intelligence to operate dynamic route optimisation. This shortens delivery times and saves costs. A healthcare provider analyses patient data to create personalised treatment plans. A financial services provider uses data intelligence to identify risks early and take preventative measures.

Data intelligence in consulting

Many companies report that Big Data alone only yields limited hoped-for benefits, as the data is often unstructured and flawed. Smart Data is carefully cleansed, filtered, and processed into meaningful information using Artificial Intelligence or Machine Learning, enabling real-time decisions. Data intelligence supports decision-makers in acting more efficiently, securely, and proactively.

Best Practices from Consulting

A car manufacturer collects data from vehicles and customers. Intelligent analysis creates Smart Data, which supports product development and increases customer satisfaction. A retailer analyses customer data to create individual offers. The raw data is confusing, but targeted filtering and AI-supported processes create Smart Data, which enables personalised marketing measures. A telecommunications provider analyses usage data to optimise networks. The raw data is confusing, but targeted filtering and AI-supported processes create Smart Data, which increases performance.

BEST PRACTICE with one customer (name hidden due to NDA contract) A medium-sized manufacturing company wanted to optimise its maintenance processes. By using data intelligence, we were able to generate smart data from the collected machine data. This data made it possible to identify maintenance needs early and prevent failures. Productivity increased significantly, and the costs for unplanned maintenance decreased considerably.

My analysis

Data intelligence is the key to creating real added value from Big Data. It supports decision-makers in acting more efficiently, safely, and with foresight. In numerous industries, the targeted use of Smart Data facilitates strategic decisions and operational processes. A consistent data strategy, coupled with modern technology, helps to successfully exploit the potential of modern data worlds. Data intelligence is not just a technical issue, but a strategic challenge that enables companies to use their data in a targeted and meaningful way.