Data analysis as a foundation for better decisions
Sound data analysis is the key to gaining valuable insights from large amounts of data. Particularly in complex projects involving artificial intelligence, KIROI coaching helps you to convert data into relevant, usable information step by step. Many companies report that the right methods enable them to better understand their data and utilise it in a more targeted manner. This is because systematic evaluation is the only way to identify behavioural patterns, trends or optimisation potential that often remain hidden in everyday life.
Understanding and utilising large amounts of data
In practice, we encounter huge amounts of data from various sources: Sales figures, web traffic, customer data, social media interactions and more. The challenge is not only to collect this so-called big data, but also to process it in a targeted manner. KIROI helps you to ensure data quality and filter out only the information that really helps. An example from the retail sector shows this: When purchasing behaviour is linked to weather data, stock levels can be better planned and targeted campaigns can be launched.
KIROI BEST PRACTICE at company XYZ (name changed due to NDA contract)
As part of a purchasing project, the customer database was linked to external economic data. Together, data analysis methods were used to identify sales trends that lead to seasonal fluctuations. This enabled the marketing department to create more targeted campaigns and optimise stock levels, which both saved costs and increased customer satisfaction.
Smart data as potential for efficient implementation
The concept of smart data plays a particularly important role here. It helps to extract the information that is relevant and valuable for the company from large volumes of data. This increases the speed and precision of analyses. Examples from the IT sector illustrate how smart data simplifies the analysis of customer feedback. This enables support teams to react more quickly to problems and improve product development in a more targeted manner.
KIROI BEST PRACTICE at ABC (name changed due to NDA contract)
In the IT area, the team used smart data to analyse the incoming customer reviews on a support platform. Error patterns were automatically categorised and prioritised. This significantly increased the processing speed of enquiries, resulted in customer-oriented product improvements and made support more efficient.
Methods of data analysis in projects
Various methods are often combined to analyse data: descriptive, diagnostic, predictive and recommendatory analyses. In KIROI coaching, you will receive support in applying these methods to your issues. One logistics customer was able to use predictive analyses to identify bottlenecks in the supply chain at an early stage, which prevented downtime and reduced costs. Such results show how data-based insights can stabilise processes and create competitive advantages.
KIROI BEST PRACTICE at LMN (name changed due to NDA contract)
By using predictive forecasting models, the logistics company analysed the direct influence of weather and traffic data on deliveries. The adjustment of route planning led to a significant reduction in delays and better utilisation of vehicle capacities.
SEO and the role of data analysis
Data analysis also plays a central role in search engine optimisation. Companies analyse which key terms target groups use to search and how content and technical aspects can be improved. The correct interpretation of the data helps to increase visibility on the web. KIROI advises on how to effectively evaluate SEO data without relying on superficial analyses. Clients often report that they have been able to gain more traffic and increase conversion rates with well-founded insights.
Driving force for the handling of data
KIROI sees itself as a companion and driving force for advancing data-driven projects. There are no patent remedies, but rather customised support depending on the industry and requirements. Many customers find that they gain more control and make more confident decisions thanks to targeted and customised data analysis. Workshops or coaching sessions also help to build internal expertise and improve the handling of data in the long term.
My analysis
Data analysis is more than just collecting information. It is the tool for transforming big data into smart data and creating real added value from it. Companies from a wide range of industries report that they are able to utilise their data more effectively and in a more targeted manner with professional support. KIROI is on hand as a partner to help them gain exciting insights and derive tangible improvements from them. This makes it possible to keep pace in an increasingly data-driven world and successfully organise artificial intelligence projects.
Further links from the text above:
[1] What is Big Data Analytics? - IBM
[2] The importance of data analysis in online marketing - Dtch. Digitals
[3] What is Big Data Analytics - Microsoft Azure
[5] Big Data vs. Smart Data: Is More Always Better? - Netconomy
For more information and if you have any questions, please contact Contact us on the topic or read more blog posts on the topic Artificial Intelligence Blog here.
Deutsch 
English (UK)