Quantitative Maximization
Companies and organizations are collecting an increasing amount of data in this rapidly expanding digital age. However, there is not always a direct correlation between the amount of information/data collected and the value of the data. Our multi-disciplinarian team has extensive experience across all prominent analytic platforms, software packages, and data collection programs to maximize the value from your quantitative data.
Expanding Data Potential
What is it? There is a growing consensus that quantitative data is quite valuable but difficult to tap into and leverage for the valuable asset it is. Maximizing the value of quantitative data requires insight into managing and optimizing multiple data sources and creating the infrastructure to streamline capturing data and getting the most of it. If you want to take advantage of the near-limitless power of your data, most of which you are probably already collecting, you need to be confident that you have the right system in place to integrate multiple data sources and access relevant findings from your data.
Most companies and organizations do not need to collect more data, but rather they need to integrate data from multiple sources and optimize the return on investment from the data they already have. There are other options for collecting data from secondary sources or previous data studies and reviews. Only when you have obtained a comprehensive and accurate portrayal of the story told by your data can you truly determine how to expand or improve your data processes.
Let our team help you integrate multiple data sources, and help you build a comprehensive quantitative data collection and optimization strategy to unlock your data’s power.
How can we help you?
- Identify existing data reviews pertinent to your data collection needs that could drastically reduce the overall cost of implementing a comprehensive data collection strategy
- Provide insight and access to secondary data sources you may have not considered
- Review current data processes to identify opportunities to get more from your data by reducing certain processes and expanding others
- Identify and combine data from multiple sources
- Provide data mining, advanced analytics tools, and visualization to explore more data potential and insights
- Assess current data sources and optimize data collection moving forward
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Learn MoreArticles and White Papers Expanding Data Potential
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Read MoreFAQ About Expanding Data Potential
Data processes benefit from a multidisciplinarian approach across qualitative and quantitative skillsets. Assessing the research design, data collection, data cleaning, analysis, results and reporting steps are all important components of robust data processes. Sometimes a fresh perspective or third party consultant or coach can help shore up potential weaknesses in process.
There is a nearly endless supply of data opportunities. Awareness of potentially untapped resources often requires a research background beyond the specific field in question.
There are multiple platforms for collecting, organizing and analyzing data across different types of operations and infrastructures. The best fit for a particular use involves balancing cost, simplicity, data platform collection approaches, and technical capacity to use particular analytic methods.
There are numerous statistical analytic softwares and platforms capable of modeling and simulation based on known and variable inputs. Experience modeling these simulations helps to properly contextualize and dial results in order to apply and garner feedback useful to processes.
Secondary data sources publish research collected from academic, governmental, philanthropic, journalistic, medical and other sources to public, private, and academic channels. These secondary data sources can complement, replace, reshape, or enhance your research goals and approach.
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Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas