Organizations get the picture. Fast
Five industries, five ways to use data visualization
Picture this: billions and billions of rows of data stretching into infinity. What does staring at a billion rows of data get you? Not much. Mere mortals can't get their heads around that much data. That's where visual analytics comes in.
SAS® Visual Analytics takes those billions of rows and, in just seconds, displays a visual that allows you to spot trends and opportunities. With one glance, you can explore massive amounts of data in real time to see connections among data that you never dreamed were linked, and suddenly you're seeing your business in a whole new light. And with an easy point-and-click interface, you don't have to be a data scientist to use it.
So, what does this look like in real life? Read on to find out what five organizations in five different industries are doing with SAS Visual Analytics.
However, this is a fast-changing market. The company must be able to respond quickly with new and improved offers to its customers, and must be able to analyze the impact of these offers. Analysis that is valuable and makes sense today may be irrelevant tomorrow. On top of this, the volumes of data involved are huge.
With data visualization, the company can compare the performance between all competitors for key indicators (such as accessibility or percentage of dropped calls) on a single screen. In an instant, users can see an overview of areas of competitive strengths and weaknesses.
By bringing together massive amounts of information to uncover statistical trends, patterns and relationships in the data, data visualization software allows the HKEU teams to respond appropriately. For example, they can now identify the root causes of complaints, such as peaks in vehicle registration applications, higher-than-usual water tables or land subsidence. Data visualization helps Hong Kong understand its citizens, improve service delivery to the public, make informed decisions and communicate more effectively.
With the help of data visualization, the bank has uncovered new information on customer behavior, enabling the bank to plan and react to customers' needs based on a detailed understanding of what's on their minds and current market trends.
Small-to-Midsize Businesses (SMB):
The problem for DirectPay lay in getting this information into the right hands at the right time. With data visualization, DirectPay can now easily create and share the results of analytics more effectively, notably with field sales staff who access the information via mobile devices before making customer visits.
With data compiled from its customer loyalty program, SM-MCI uses SAS Visual Analytics to understand buying patterns and identify trends, which leads to better service – and greater customer satisfaction. SM-MCI uses its insight to improve the customer experience with relevant, timely offers and promotions. It also can work to acquire new members, reduce churn and identify new up-sell opportunities.
Who can use visual analytics?
Data scientists and other data handlers can explore all of their data and the relationships between data elements. Billions of rows can be manipulated in seconds, and advanced analytics such as regression analysis can be performed.
Business analysts had been dependent on data scientists through much of the early stages in the analytics life cycle. Now they can do their own data exploration because SAS Visual Analytics is easy to use and the results are automatically displayed in the most appropriate format.
Nontechnical users can quickly view and interact with reports via the Web or mobile devices, while IT maintains control of the underlying data and security.
This story appears in the Second Quarter 2013 issue of