Data analysis.

We find structures and connections in your data.

Benefit-oriented, profound, understandable

With methods of data analysis we create real added value

With regressions, cluster analyzes and conjoints we answer the classical market research questions. With new data science methods, we bring the findings into practice.

Design

You tell us what data you want to analyze and what your interest is. Together with you, we develop a possible procedure and provide you with a non-binding offer, including a security concept that ensures the integrity of the data.

Conduct

We will aggregate the various data sources and may collect additional data by inviting people from our online access panel or your customers to interviews.

Analysis

We analyze the data obtained, form models and test hypotheses. After having provided all the insights, we will prepare a clear and understandable report and point out the determining factors and pitfalls in regard of your knowledge interests. At SPLENDID RESEARCH, we focus on transparency: Upon request, we will disclose the programming and algorithms we use to help you understand and continue our work.

Which data analysis should we support you with?

You have unclear internal or external collected data and need support in the analysis, interpretation or preperation? Contact us and we will find a solution.

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OUR PROFESSIONAL SERVICE IS YOUR BENEFIT.

High data quality
Very good accessibility of special target groups with low incidences
Organizationally smooth handling with a permanent contact
Excellent value for money

Short field times and thus fast project handling and fast data delivery
Our own global online panel, which is constantly being expanded
Long-term partnerships with our clients

CLIENTS FROM ALL OVER THE WORLD ENJOY OUR WORK.

What can we do for you?

LIKE THE STATISTICAL ANALYSIS METHODS USED, THE BENEFITS OF DATA ANALYSIS ARE ALMOST LIMITLESS.

Many processes in companys generate data, including queries, purchases, complaints, and terminations. If one can connect this data, conclusions can be drawn about the customers and the processes can be adapted in a way that brain drain is avoided and additional potentials are realized. But even in normal survey data there are often surprising findings that statistical analysis methods can uncover.

Develop a target group oriented approach for your customers and increase satisfaction. Predict the Customer Lifetime Value and implement actions that are valuable from the first day of the customer relationship. Lower the brain drain probability and turn customers with properly handled complaints into bigger fans of your company than before.

We have great expertise in statistical analysis and in handling programming and database languages. This allows us to choose the optimal method for your data and your questions. In addition, we have extensive experience in aggregating and processing data from multiple sources - a step that typically accounts for more than 80 percent of the data analysis effort.

WHAT IS DETERMINED IN A DATA ANALYSIS?

Connections between events
Differences between groups
Predictive power of key figures
Impact of company actions

WHAT DO YOU NEED TO DELIVER?

Your questions and goals that you want to achieve with the data analysis
The types of data that are available
Expertise about your own processes
Specifics of your project

HOW IS A DATA ANALYSIS CARRIED OUT?

In general, pure data analysis rely on already existing data. In addition, it is often useful to obtain additional information by interviewing to find out exactly what has disturbed migrant customers or why someone is intensively using a specific product. The statistical analysis then combines all available data sources to create the most complete picture possible.

HOW LONG DOES THE DATA ANALYSIS TAKE?

In a data analysis project, you work with a fixed project manager who is your point of contact and also does all the analysis. This avoids delays through coordination processes and knowledge transfer on our side. The data analysis itself can be done within five working days for small scopes, for larger projects with multiple data sources the project duration is at least four weeks.

What secrets lie in your data?

We are happy to assist you with your data analysis project. Feel free to contact us or give us a call so we can talk about your project and our support in analyzing existing internal, external or yet to be collected data.

Examples of the analysis methods we use

Among our SPLENDID COLLEAGUES are experts for different, important methods of data analysis. We master demanding quantitative statistical methods, such as conjoint analysis, which we use successfully in price research or loyalty research. We also value the range of qualitative methods used to generate deep insights from subjects, for example in the context of creative workshops for generating slogans or name ideas. Furthermore, we use self-created methods and algorithms, for example in cooperation or in testimonial research.