The right Data Analysis software can completely change the way your organization makes decisions. These tools help you truly understand your situation and give you a firm foundation for making informed, insightful choices that help you compete more effectively.
Nearly every large organization has to make critical decisions based on enormous amounts of data. Effective Data Analytics Software lets you take the raw data you have available and make sense of it. If you can properly analyze your data, you can draw better informed, more insightful conclusions.
People working in a wide variety of industries, including Financial Services, Telecommunications and Engineering, use Data Analytics Software every day to make better business decisions. Scientists use these same Data Analysis techniques to verify or disprove existing models or theories.
 Business Intelligence (BI) and data warehousing solutions are becoming increasingly important to maintaining profitable operations in the present economic environment. Many organizations have spent substantial sums on BI technology but have yet to truly unlock the potential value of those investments.
Using Panopticon information visualization software with other tools can enable enterprises of all sizes to assimilate and use the massive amounts of data available to them effectively.
Integrate Data Analytics Dashboards into Existing BI Systems with Panopticon
Every business has different needs and we have found that certain tools, including Data Warehousing systems and Business Analytics Dashboards, are excellent means of managing the fast pace of business, monitoring historical data and quickly analyzing information in order to uncover opportunities and identify threats.
Panopticon EX — or enterprise applications using embedded data visualizations created with our Developer SDK — provide user-facing functionality that enables organizations to leverage their legacy BI investments. A properly integrated BI system provides senior executives, data analysts and middle managers with the tools they need to make timely decisions that benefit the whole organization. Treemaps, Heatmaps, Scatter Plots, and our other interactive data visualizations make it easy to find outliers and spot patterns in business or technical data and allow data analytics specialists to test theories.
Data Analytics Explained
The science of Data Analytics is generally divided into three major categories:
- Exploratory Data Analysis: The data analyst seeks to discover patterns, trends and outliers in the data.
- Confirmatory Data Analysis: The data analyst seeks to test theories against available information.
- Qualitative Data Analysis: This is most often used in the social sciences to draw conclusions from non-numerical data like words, photographs or video.
The Data Analytics term also has a special meaning in the context of IT; organizations may conduct IT audits to examine controls for systems, operations and processes. Data Analysis software helps determine whether the systems in place work as designed to protect data and operate.
Panopticon tools are best used to support Exploratory Data Analysis and Confirmatory Data Analysis applications.
The software is easy to implement and connect to disparate data sources. The software's unique StreamCube™ OLAP Data Model allow users to slice and dice huge amounts of data on the fly.
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