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The services we offer include
Statistical consulting and data analysis are important services for companies and organizations. The aim is to collect data, evaluate it and draw conclusions from it. The company Leonardo Miljko offers exactly these services.
Based in Europe, the company provides statistical consulting and collaborative services to the private and public sectors, both locally and internationally. The services offered cover a variety of possibilities, such as data analysis, estimation, statistical modeling and forecasting. Performance analyzes are also carried out and advice on the preparation of diploma and doctoral theses is offered.
The survey and experiment design is carried out by Leonardo Miljko, as is the survey data analysis, survey processing and survey data entry. The company also offers reporting, statistical analysis and reporting. The programming of statistics and automated processes is also an important part of the services offered.
In addition to databases and simulations, the company also offers data mining and economic and econometric consulting. Leonardo Miljko also offers quantitative analytical support for marketing. Personal support with business research and company statistics is also possible.
The company offers its services in the field of medical statistics, bioinformatics and ecological statistics as well as in the field of statistical support for academic research. Statistical consulting, data analysis and structural equation modeling (SEM) are offered as well as software support and training services. The creation of reports and statistical graphics is also one of the company's competencies. Leonardo Miljko's services also include data visualization, web scraping and website development.
The company Leonardo Miljko thus offers a variety of services that enable companies and organizations to evaluate data efficiently and effectively and thus make well-founded decisions.
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Statistische Analyse und Berichterstattung
Statistiken sind aus unserem täglichen Leben nicht mehr wegzudenken. Ob in der Politik, Wissenschaft oder Wirtschaft – sie spielen eine wichtige Rolle bei der Entscheidungsfindung. Eine statistische Analyse kann helfen, wichtige Erkenntnisse zu gewinnen und bessere Entscheidungen zu treffen.

Statistics explained
Statistics is an important part of many research works and decision-making processes. But what exactly are statistics and how can they help us make better decisions? In this article, we give a simple introduction to statistics and show how Leonardo Miljko statistical consulting and data analysis can help you improve your research results.

Structural Equation Modeling (SEM)
If you've ever dealt with structural equation modeling (SEM), you know how demanding and theoretically demanding it can be. SEM is a powerful tool for statistical analysis of complex relationships between variables. But it can also be a challenge to implement it correctly.

Survey Data Analysis: How companies can use their data to make better decisions
Leonardo Miljko's statistical consulting and collaboration services offer companies in Europe the opportunity to use their data effectively to improve their decision-making. One of the most important steps in analyzing data is survey data analysis. This method enables companies to gain important insights into the behavior and expectations of their customers.

Personalisierte Unterstützung: Wie Statistische Beratung und Datenanalyse Leonardo Miljko Ihnen bei der Datenanalyse helfen kann
Daten sind heutzutage ein wesentlicher Bestandteil jeder erfolgreichen Geschäftsstrategie. Doch Daten allein genügen nicht. Es bedarf einer fundierten Analyse, um sie in wertvolle Informationen zu verwandeln, die Ihrem Unternehmen einen Wettbewerbsvorteil verschaffen können. Hier kommt die Statistische Beratung und Datenanalyse Leonardo Miljko ins Spiel.

Power Analysis: How Statistical Consulting and Data Analysis Leonardo Miljko can help you determine the right sample size
Determining the correct sample size is a crucial factor in conducting research studies. A sample that is too small can lead to unreliable results, while a sample that is too large causes unnecessary costs. In either case, this can lead to wrong conclusions and wasted time and effort. Therefore, it is crucial to determine the sample size a priori.