Customer Testimonials
“What I liked the most was the drag-and-drop feature for putting together a data query…with other solutions you have no choice but to sit and write code…but with Style Intelligence, it doesn’t take two to three hours to design reports – you only need ten to fifteen minutes. The more I get into it, the more capabilities I discover that allow me to organize data in ways that make the most sense to me, and excitingly, our users will be able to benefit from these same features. Additionally, Style Intelligence offers truly superior dashboard graphics. Thus, we’ll be able to provide our customers with the ability to create highly polished, professional reports.” - Tadd Meyers, Business Intelligence Manager at NCN
"Our solution implementing InetSoft's software has been in production for some time now, and we have been very pleased with its reliability. Another benefit we have found in having selected InetSoft is the company's responsiveness to our needs, something that can be lacking among other business intelligence software vendors." - Stewart Morse, Manager of Online Communication Systems at IBRC.
"We selected InetSoft's Style Report Enterprise for its powerful and flexible application programming interface and for the light weight of the Web-based information access and presentation application. We saved months of development time associated with initial internal development and were able to launch applications faster than if the reporting solution were developed in-house." - Dhruv Gupta, Vice President of Product Management at AmberPoint
What Do Laboratory Analysts Put in Database Reports?
Laboratory analysts play a crucial role in generating and managing data for scientific research and experiments. The contents of a database report created by a laboratory analyst typically include:
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Experiment Details:
- Title of the experiment.
- Date(s) when the experiment was conducted.
- Name(s) of the experimenters or analysts involved.
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Objective and Hypothesis:
- The specific goal or purpose of the experiment.
- Any hypotheses or expectations that were tested.
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Experimental Design:
- Description of the experimental setup, including equipment used, reagents, and materials.
- Details about control groups, replicates, and any randomization procedures.
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Methods and Procedures:
- Step-by-step instructions on how the experiment was conducted.
- Specific protocols followed, including any modifications made.
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Data Collection:
- Raw data collected during the experiment. This may include measurements, observations, or any other relevant information.
- Timestamps for data points, if applicable.
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Data Processing and Analysis:
- Details on any data cleaning, normalization, or transformation procedures applied.
- Statistical methods used for data analysis.
- Results of the data analysis, including any graphs, charts, or statistical values.
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Results and Findings:
- A summary of the key findings from the experiment.
- Any trends, patterns, or significant observations.
- Comparative analysis with previous experiments or literature, if relevant.
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Discussion and Interpretation:
- Interpretation of the results in the context of the experiment's objectives and hypotheses.
- Any unexpected outcomes and potential sources of error.
- Suggestions for further experiments or areas of research.
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Conclusion:
- A concise summary of the main findings and their implications.
- Recommendations or conclusions drawn from the results.
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References:
- Citations of any literature, protocols, or resources used during the experiment.
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Appendices or Supplementary Information (if applicable):
- Any additional data, charts, graphs, or images that support the findings.
- Any supplementary information that provides context or clarity.
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Quality Control and Assurance:
- Information about any quality control measures taken during the experiment.
- Details on calibration, validation, and reliability checks.
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“We evaluated many reporting vendors and were most impressed at the speed with which the proof of concept could be developed. We found InetSoft to be the best option to meet our business requirements and integrate with our own technology.”
- John White, Senior Director, Information Technology at Livingston International |
What Do Pharmaceutical Research Managers Put in Database Reports?
Pharmaceutical research managers oversee the development and execution of research projects within the pharmaceutical industry. They are responsible for ensuring that database reports contain comprehensive and relevant information. Here's what pharmaceutical research managers typically include in database reports:
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Project Overview:
- Title and code of the project.
- Names of the researchers, analysts, and team members involved.
- Brief description of the project's goals and objectives.
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Timeline and Milestones:
- Start and end dates of the project.
- Milestones achieved at various stages of the research.
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Budget and Resource Allocation:
- Details of the budget allocated for the project.
- Breakdown of expenses, including personnel, equipment, supplies, and external services.
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Regulatory Compliance and Ethical Considerations:
- Documentation of compliance with regulatory agencies' guidelines and requirements.
- Ethical considerations and approvals obtained from relevant review boards.
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Study Design and Methodology:
- Detailed description of the study design, including experimental protocols, sample size, and control groups.
- Information about randomization, blinding, and any specific methodologies used.
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Data Collection and Management:
- Overview of the data collection process, including types of data collected and sources.
- Details about data storage, security measures, and backup procedures.
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Clinical Trial Information (if applicable):
- For clinical trials, additional information on patient recruitment, eligibility criteria, and informed consent procedures.
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Data Analysis and Interpretation:
- Summary of data analysis methods and statistical techniques employed.
- Presentation of key findings, including any significant results or trends observed.
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Safety and Adverse Event Reporting (if applicable):
- Documentation of any adverse events or safety concerns encountered during the research.
- Reporting procedures and actions taken to address safety issues.
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Discussion and Conclusions:
- Interpretation of the results in the context of the project's objectives.
- Discussion of any unexpected findings, limitations, and potential implications.
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Recommendations and Next Steps:
- Suggestions for future research directions based on the findings.
- Recommendations for potential modifications to the research approach.
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Intellectual Property and Patents:
- Information regarding any intellectual property considerations, patents filed, or proprietary technologies developed during the project.
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References and Citations:
- Citations of relevant literature, previous studies, and resources used in the research.
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Appendices and Supplementary Information:
- Additional data, charts, graphs, or supplementary materials that support the findings.
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