Understanding and utilising big data
Many companies are faced with the challenge of analysing large amounts of data efficiently. Data intelligence helps to gain valuable insights from big data. This is not just about storing large volumes of data, but above all about filtering out relevant information in a targeted manner and utilising it intelligently. This change plays a key role, particularly in sectors such as retail, production and healthcare.
Companies in the retail sector use data to analyse customer behaviour and create personalised offers. In production, smart data helps to optimise processes and reduce downtime. In the healthcare sector, intelligent data analyses enable better diagnoses and individual treatment plans. This shows that data intelligence goes far beyond pure data storage and creates real added value.
Smart data as the key to efficiency
The next step is to turn big data into smart data. This process of data refinement means selecting relevant data points and providing them with context. This is the only way to create a clear overview that enables well-founded decisions to be made. Smart data helps companies to utilise time and resources in a targeted manner and focus on really important findings.
In the financial sector, for example, smart data enables rapid risk analyses and prevents fraud better than conventional methods. In logistics, intelligent data improves route planning and increases the punctuality of deliveries. The automotive industry relies on smart data to efficiently analyse vehicle sensors and develop new assistance systems.
KIROI BEST PRACTICE at company XYZ (name changed due to NDA contract) The transformation of big data into smart data was accompanied as part of a project. Firstly, huge amounts of data were collected from production plants. This was followed by a targeted analysis that highlighted only the most important signals for optimising maintenance intervals. This led to a noticeable increase in efficiency without any additional investment in hardware.
The role of KIROI coaching in data intelligence
Many companies are looking for support in order to safely take the step from data overload to data intelligence. Coaching provides support not only with the technology, but above all with strategic issues and organisational challenges. The aim is to provide the right impetus and think together about practicable solutions without making unrealistic promises.
In the telecommunications industry, clients often report that the coaching helped them to realign their data strategy and improve data governance. Another focus is on selecting the right tools and methods to act in a data-intelligent manner based on the company's objectives. This gives companies more clarity and security when dealing with complex data volumes.
KIROI BEST PRACTICE at ABC (name changed due to NDA contract) As part of a coaching process, the team was supported in the introduction of a data platform. The aim was to improve the networking of sales and customer data. Data quality was improved through targeted workshops and analyses. This led to more precise market analyses and more sustainable customer management.
Predictive use of data intelligence
The future of data intelligence lies in predictive analytics. Companies that recognise important patterns in their data today can better assess trends and react more quickly. This is a decisive competitive advantage in dynamic markets. This is supported by AI-based systems that are continuously learning and thus becoming ever smarter.
For example, the energy industry uses predictive analyses to optimise energy consumption and ensure grid stability. In the media industry, smart algorithms help to target specific target groups across different channels. The retail sector also benefits by adjusting stock levels precisely to peak demand.
KIROI BEST PRACTICE at DEF (name changed due to NDA contract) A company from the transport sector received impulses on how traffic flows can be optimised with the help of data intelligence. This involved combining historical data with real-time information. The coaching enabled a gradual introduction that made the employees' everyday lives easier and measurably improved the flow of traffic.
My analysis
Data intelligence is an essential building block for future-proof companies. The path from big data to smart data is challenging but worthwhile. Support through professional coaching can help to accompany projects in a structured manner and respond individually to the needs of the organisation. It is important to focus on sustainable processes and realistic goals. Clients often report that the combination of technical expertise and strategic input brings great added value.
Further links from the text above:
[1] Sanjay Sauldie | KIROI Step 3: Big data and smart data - Instagram
[2] Blog - SAULDIE
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