The development of Data intelligence is crucial for companies that want to utilise their data efficiently. This ability makes it possible to analyse large volumes of data and gain valuable insights that support strategic decisions. In this context, both big data and smart data play important roles, as they offer different approaches to data utilisation. Big data focuses on the quantity and variety of data, while smart data focuses on the quality and relevance[2][3].
The challenges of data intelligence
One of the main problems in the development of Data intelligence is the processing of huge amounts of data. Big data is often confusing and can lead to information overload, as it comprises huge amounts of data that are not always relevant. This data is often unstructured and requires special tools for processing[6].
However, smart data can be obtained by filtering and analysing big data. Smart data is of high quality and provides direct, actionable insights that can influence business decisions. One example of this is the analysis of purchasing behaviour in a retail company. By identifying the best-selling items and target groups, the company can stock goods in a targeted manner and develop marketing strategies[3].
Areas of application for smart data
Another advantage of smart data is its ability to be cost-efficient. As it focuses on relevant data, the costs for storage and processing are reduced compared to big data. This is particularly important in industries that rely on quick decisions, such as the financial sector or healthcare[2][4].
In the healthcare industry, for example, smart data can be used to create patient profiles and develop personalised treatment plans. These individualised approaches improve the efficiency of medical care and lead to better treatment outcomes. Smart data also plays a crucial role in logistics by optimising supply chains and supporting just-in-time production[3].
Data intelligence with KIROI Coaching
KIROI Coaching offers companies support in the development of Data intelligence through targeted project support. It helps to identify and analyse the right data and translate it into strategic decisions. Particularly important here is the ability to organise the data in such a way that it is directly aligned with the business objectives and can provide viable insights.
By using artificial intelligence and machine learning, companies can utilise their data more efficiently and translate the insights gained into concrete actions. This can lead to a significant increase in efficiency and productivity, as resources can be utilised in a targeted manner.
KIROI BEST PRACTICE at ABC (name changed due to NDA agreement). This company used smart data to optimise their sales channel. By analysing sales trends and customer data, they were able to adapt targeted marketing strategies and increase sales by 20%. Data intelligence helped them make the right decisions and better understand customer needs.
Smart data and its role in data intelligence
Smart data is important for the development of Data intelligenceas they form the basis for well-founded decisions. It is not just a quantity of data, but offers directly applicable insights that can optimise the business process. By focussing on quality and relevance, smart data helps companies to move away from the quantity of big data and work more efficiently[2].
Another important aspect of smart data is its ability to act in real time. This enables companies to react quickly to market changes and adapt their strategies accordingly. In today's dynamic business world, this flexibility is crucial in order to remain competitive.
The future of data intelligence
In future, the development of Data intelligence will continue to gain momentum as companies increasingly want to make data-based decisions. Smart data will play a central role in this, as it improves the quality and relevance of data and provides directly applicable insights. Supported by KIROI Coaching, companies can master these challenges and optimise their business processes.
Data intelligence is also being further strengthened by the increasing use of artificial intelligence and machine learning. These technologies help to analyse data more efficiently and identify relevant patterns that result in smart data. This in turn enables companies to make targeted investments in their business strategies and optimise the use of their resources.
My analysis shows that the development of Data intelligence is crucial for the success of companies. Through the targeted use of smart data and the support of KIROI Coaching, companies can increase their competitiveness and work more efficiently.
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Further links from the text above:
[1] What Is Smart Data?
[2] Big Data vs. Smart Data: Key Insights for Operational Optimisation
[3] Big Data vs. Smart Data: Is More Always Better?
[4] Big Data vs. Smart Data: Valuable Insights to Optimise Your Operations
[5] What is SMART Data and How Can It Drive Better Business Decisions?
[6] Big Data Basics: Definition, Smart Data
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