{"id":879,"date":"2020-01-07T12:05:00","date_gmt":"2020-01-07T17:05:00","guid":{"rendered":"https:\/\/treehousetechgroup.com\/?p=879"},"modified":"2021-05-20T11:05:58","modified_gmt":"2021-05-20T15:05:58","slug":"how-to-improve-your-data-visualization-process","status":"publish","type":"post","link":"https:\/\/treehousetechgroup.com\/how-to-improve-your-data-visualization-process\/","title":{"rendered":"How to Improve Your Data Visualization Process"},"content":{"rendered":"\n
Organizations today receive an ever-increasing volume, velocity, and variety of data. A powerful organizational data visualization system can pull this data from multiple sources, analyze it and present it in the right visual formats that help decision making. In the absence of such a system, data is fragmented in silos across the company and there is no cohesive and structured approach to viewing and sharing the data. <\/p>\n\n\n\n
If data is not effectively processed and analyzed in alignment with business objectives, then the huge volume of data collected actually becomes an overhead, as you need more and more storage space — and risks develop related to data breaches and liabilities under data protection laws.<\/p>\n\n\n\n
In order to generate actionable insights that enhance profitability, the organization must plan and execute data collection, cleaning, exploration, analysis, and visualization. <\/p>\n\n\n\n
So is your organization getting the optimum benefits from data visualization and are you following an effective data visualization process? To help you answer that, let’s look at the right data visualization approach and process for businesses:<\/p>\n\n\n\n
The best data visualization process for your company may start with defining the business problem, then understanding the available data, preparing the data, running some experimental models, and finally building visualizations for presentation. The key is to know how to unearth valuable insights and minimize noise or unwanted data. <\/p>\n","protected":false},"excerpt":{"rendered":"
Organizations today receive an ever-increasing volume, velocity, and variety of data. A powerful organizational data visualization system can pull this data from multiple sources, analyze it and present it in the right visual formats that help decision making. In the absence of such a system, data is fragmented in silos across the company and there…<\/p>\n","protected":false},"author":2,"featured_media":907,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[20,83],"tags":[],"class_list":["post-879","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence","category-data-visualization"],"acf":[],"yoast_head":"\n