In all organizations, analysis is challenging because the analytical experience is broken because a user has to switch between multiple toolsets to analyze. Different tools such as data visualizations tools, OLAP tools, scripting tools and data science tools are used for different types of analysis such as OLAP analytics, Benchmarking, Predictive Analysis and Outlier Analysis. Since different skillsets are required, different kinds of analysts are needed in an organization: “Data Analyst”, “Data Scientist”, “Business Analyst”, “Financial Analyst” etc. However, all of them are analyzing data and trying to find patterns that gives business insights.
Our patent pending analytical solution blends data visualization, data analytics and data science capabilities that empower any user to be able to seamlessly do different types of analysis without having to switch tools. Qvantum envisions that “Analyst” is not a specialized role in an organization and everybody include C-suite should be empowered to analyze with ease.
Organizations do not need have to continuously monitor performance by making analysts do routine analysis on a daily, weekly and monthly basis. Organizations need value-added analysis, not routine analysis. Qvantum offers a Robo-analyst that continuously monitors performance and alerts leadership on anomalies, outliers etc so that analysts can focus on value-added analysis all the time and never have to do routine analysis. Also, Qvantum offers the ability to easily analyze the alerts with it patent-pending visual analytical framework.