ABOUT US
//ABOUT US
About Us at SDATA
Our mission: At SDATA, our mission is to help companies and organizations use their data effectively and make informed decisions. We believe that the right analysis, combined with industry-specific knowledge, is the key to success in today's data-driven world.
Our team: Our team consists of passionate professionals with deep expertise in statistical analysis, software skills and industry-specific knowledge. We are proud to have a diverse team that excels in continuous education and dedication to their respective areas of expertise.
Our values:
- Customer focus: Your needs are our focus. We strive to provide solutions that not only meet your requirements, but exceed them.
- Innovation: We stay at the forefront of technological and methodological developments to ensure that our services always meet the highest standards.
- Integrity: We always adhere to the highest ethical standards in our work and in our relationships with customers and partners.
- Trustworthiness: Through our comprehensive expertise and strict quality controls in statistical analysis, we ensure that our customers always receive precise and trustworthy results.
Our services: We offer a wide range of services including statistical analysis and evaluation, research methodology advice, software expertise in tools such as SPSS, Stata, R, industry-specific expertise and tailored training and workshops.
Our Commitment: At SDATA, we are committed to providing excellent services that create real value for our customers. We look forward to working with you and helping you unlock the full potential of your data.
Efficient and in-depth analysis
Thoughtful and effective planning
Visionaries and Pioneers Implementation
Services
Advice on research methodology
Expertise and guidance in the selection and application of appropriate scientific methods to ensure the reliability and validity of research results.
//Do you have questions?
Frequently Asked Questions:
The initial consultation typically lasts between 30 minutes and two hours, depending on the scope and complexity of your project. We begin by exploring the background of your project and understanding the available data, if any. We discuss your goals and expected outcomes of the project, as well as your timeline and expectations of our contribution.
We ask targeted questions to gain further clarity and, where appropriate, ask you to see some of your available data. We then explain how our expertise matches the needs of your project and suggest how we can contribute effectively. The aim of this phase is to find the most suitable service to meet your needs.
Should both parties agree to work together, we will prepare a comprehensive summary outlining the proposed work, costs involved and terms and conditions, and a contract will be presented for you to review and sign should you choose to use our services.
Our team consists of experts with extensive experience across various industries including healthcare, finance and marketing. Our professionals have relevant academic qualifications as well as practical experience, complemented by ongoing training and industry engagement. We pride ourselves on being able to offer our clients expert knowledge based on real-world experience and deep industry understanding.
The typical flow of our services begins with an initial consultation to understand your specific needs. For projects such as statistical analysis, this is followed by a phase of data collection and cleaning, followed by the actual analysis using advanced statistical methods. In our training courses and workshops, we place a strong emphasis on interactive and hands-on learning. Every step of the process is closely coordinated with you to ensure that the results meet your expectations.
The success of our services is measured by clearly defined metrics that are established at the start of each project. These can include quantitative results, such as improved performance indicators, or qualitative improvements, such as increased customer satisfaction. We provide regular updates and detailed reports on progress and results achieved to ensure transparency and accountability. Your feedback is important to us, and we adapt our approaches accordingly to ensure our services meet or exceed your expectations.
Data protection is our highest priority. We ensure the protection of your data by complying with all relevant data protection laws, in particular the EU General Data Protection Regulation (GDPR). Our measures include:
Secure data processing: We use advanced protocols to protect your data from unauthorized access and misuse.
Privacy by design: Our processes and systems are designed from the ground up with privacy in mind to ensure your data is protected at all times.
Limiting data retention: We retain personal information only for as long as necessary to provide our services and follow strict data deletion policies.
Transparency and control: We provide you with clear information about how your data is used and respect your rights regarding your personal information, including the right to access, rectification and erasure.
Our commitment to data protection is an integral part of our corporate philosophy and is reflected in all our business processes.
Determining the sample size is a crucial step in any statistical analysis as it significantly affects the accuracy and reliability of the results. Our sample size determination procedure includes the following steps:
Clearly define the aim of the study: We start by clearly defining the aims of your study. This helps us determine the focus of the analysis and identify relevant parameters such as the expected effect size and variability in the population.
Determining the confidence level and the margin of error: We choose a confidence level that indicates how confident we want to be that the sample results reflect the actual population parameters. We also define the acceptable margin of error for the study.
Consideration of population size: When determining sample size, we consider the size of the entire target population. For smaller populations, a larger sample may be required to achieve representative results.
Applying statistical formulas: Based on these factors, we use statistical formulas and software tools to calculate the required sample size. This ensures that the sample is large enough to provide reliable and accurate results, but also remains practical and cost-effective.
Adjustment based on specific conditions: We adjust the sample size to special conditions of your study, such as the existence of subgroups that should be analyzed separately.
Our approach guarantees that your sample is both statistically valid and specifically tailored to your research objectives. By carefully planning and calculating the sample size, we ensure that your analysis results are meaningful and reliable.
