While the volume and variety of data has exploded in recent years, data analysis tools have only recently moved beyond the spreadsheet. It’s not hard to understand why. With spreadsheets, your eyes are always on the data. Unfortunately, you aren’t getting any real-time feedback or suggestions on how to improve data quality or derive new data.
While the volume and variety of data has exploded in recent years, data analysis tools have only recently moved beyond the spreadsheet. It’s not hard to understand why. With spreadsheets, your eyes are always on the data. Unfortunately, you aren’t getting any real-time feedback or suggestions on how to improve data quality or derive new data.
Data analysis software meets the need for feedback with data processing, modeling and visualization. Data analysis allows companies to make data-driven decisions that benefit the organization in ways that may have been invisible without analysis. For example, if a company is debating changing key features of a product, management can use the trends revealed from data analytics to move forward with confidence. With the Trifacta, organizations use formatting suggestions to begin organizing and structuring data to reveal patterns that can drive business decisions.
Data analysis software can also benefit customers. Companies can use data analysis tools to provide improved customer experiences. For example, data analysis software can help visualize the current customer experience landscape and then model opportunities for improvement. Trifacta’s suggestions for cleaning data helps create these improved customer experiences because it provides usable data on the current situation that can then be used to determine the best customer experiences.
Data analysis software has the capability to inform better decision making in various industries. Healthcare has benefitted from data analysis software when leveraged to inform clinical research. These organizations use data to better understand the patient environment and effectively forecast enrollment and potential. Using the Wrangler, users are guided on how to clean data for analysis to reveal the patient platform that can then help analysts determine statistical information and potential for clinical research.
Because of these benefits, increasing organizations are beginning to strategize with data analysis software. The difficulty is the raw data needs to be cleaned and prepared before analysis. The data preparation process could potentially waste crucial periods of time before the data is even analyzed. The key to achieving the benefits of data analysis is to have a software system that can prepare the data beforehand. Companies need a data preparation system that efficiently cleans the data to lead companies to the most valuable insights.
Trifacta was created to provide data analysts with an intuitive and powerful way to view, visualize, and prepare data of all types and formats. With Trifacta, you’re able to:
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