Quantitative Collection
Data collection is the bridge between design and analysis. A solid design plan requires technical expertise and execution to ensure quality analysis. The methodology for collecting, storing, and determining who to sample culminates with data primed for optimal analysis. Our quantitative collection services equip you with the vehicle to identify, collect, and analyze the highest quality data.
Database Management
What is it? Database management is a technology solution to organize, store, and retrieve data in a computer. As technology advances and the volume of data grows, it is necessary to implement and support stored data in order to maximize its value and utilize data more efficiently. Database management also ensures data security and data privacy. By controlling database from creation to its retirement, an organization could protect its data and prevent compliance risks. SQL, Oracle, and Hadoop are popular database management software solutions used for different applications, such as updating data, relating data from multiple resources, integrating data, deleting, backup, and recovering, etc. In the end, all organizations need their data safe and accessible. Our team works with various organizations on database management. Let us help your organization meet its database management needs.
How can we help you?
- Extract information from multiple related databases for business report requests
- Provide strategies on database management procedures
- Provide database backup support
- Optimize database performance
- Evaluate database storage risks
Related Services
Customized Dashboards
A dashboard is a management tool that visually tracks, analyzes, and displays key points by combing multiple data views and graphs.
Learn MoreResults Presentation
Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
Learn MoreSurvey Collection
Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
Learn MoreInstrument Development
Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
Learn MoreArticles and White Papers About Database Management
What Are Some Data Collection Challenges and How Do You Overcome Them? (Part 2 of 3)
Articles and White Papers About Considerations How do You Develop an Evaluation Plan? Read More How Do You Get Started With Your Program Evaluation? Read More What Do You Need to Consider About Program Evaluation? Read More How Does Your Organization Build Its Credibility? Read More Load More
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What Are Some Data Collection Challenges and How Do You Overcome Them? (Part 1 of 3)
Articles and White Papers About Considerations How do You Develop an Evaluation Plan? Read More How Do You Get Started With Your Program Evaluation? Read More What Do You Need to Consider About Program Evaluation? Read More How Does Your Organization Build Its Credibility? Read More Load More
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5 Advanced Data Mining Techniques for Insights in Medical Health Databases
Introduction Data mining refers to “the use of machine learning and statistical analysis to uncover patterns and other valuable information from large datasets”.[1] In other words, it is primarily used for either describing the dataset in question or predicting results by utilizing machine learning algorithms. Data mining is often performed...
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Optimizing Database Queries for Efficient Data Retrieval in Independent Research
Introduction Some research has described open data as “having the potential to transform science and fast-track the development of new knowledge”;[1] other researchers have observed that this potential is limited if data-seekers are unable to find the data that they seek[2]. We present these guidelines on optimizing database queries for...
Read MoreFAQ About Database Management
Investing in data cleaning adds an often overlooked integral layer of accountability and rigor to your data process. Data cleaning and preparation will ultimately simplify and maximize what the data does and does not tell you in analysis by ensuring the data is valid, has no issues with missing data and meets require assumptions for desired analyses.
Data mining seeks to discover patterns in data whereas data analysis tests a hypothesis to which the answer affects processes or phonemena.
Analytics projects generally require research design/methodology, data collection, data cleaning, analysis, results, presentation, and implementation. There are numerous intermediate processes for various steps depending on how customized and complicated the project is.
Research that is not practical or readily adaptible for implementation is wasteful. Determining the correct advanced analytics that are ready for actionable steps is a critical part of research design and methodology.
Effective research design will consider the cost benefit analyses of multiple types of analytic approaches before determining the right approach. The best approach may encompass several methods, but trying too many methods will likely result in wasting an excessive amount of time and resources.
What Our Clients Say About Us
Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas