Gain Business Insights with SAS® Visual Analytics

Intuition has always been a key aspect in decision making process among business leaders and taking informed business decisions has been a highly valued wish and CXO’s invest in data related tools and technologies with this thought in mind. SAS® Visual Analytics has an intuitive web interface that provides a drag and drop functionality to make the decision making process simple. Alerts, display rules and other functionalities of SAS® Visual Analytics provide the right building blocks for technological automation and to help decision management.

SAS® Visual Analytics provides numerous capabilities to analyze data quickly and efficiently which makes it easier for making key business decisions that are critical for day-to-day operations. Depending on your organization (for example, Human Resources, Sales, or Finance) the data can be easily mined by decision makers, providing information that empowers the user to make key business decisions. The right data preparation during report development is the key to success. SAS® Visual Analytics provides the ability to explore the data and to make forecasts using automatic charting capabilities with a simple click-and-choose interface. The ability to load all the historical data into memory enables you to make decisions by analyzing the data patterns.

The decision is within reach when the report designer uses SAS® Visual Analytics Designer functionality such as alerts, display rules, ranks, comments, etc. Planning your data preparation is critical for the success of the report. Identify the category and measure values in the source data, and convert them appropriately, based on your planned usage. Alert notifications are sent to the right decision makers by e-mail when the report objects contain data that meets certain criteria. Display rules help in highlighting the right metrics to leadership, which helps decision makers focus on the right metric within the data maze. For example, color coding the metrics quickly tells the report user which business problems require action. Ranking the metrics, such as top 10 or bottom 10, can help the decision makers identify success or problem areas. They can drill into more details about why they stand out or fall behind. This also allows for report comments, which gives power to the business users to improve the data quality.