External Environment: The existing trend towards e-commerce continues with the explosion of aggregators offering energy switching advice and capabilities. Social media is coming to the fore as a contact mechanism. Progressive utilities will mine the data in social media to understand customer sentiment and key influencers.Consumers are now in control:Price and quality information are now easily available to consumersBrand loyalty is reducedHigh availability of choice – in deregulated markets
The combination of the visualizations, the easy-to-use yet sophisticated analytics and rapid delivery of insights will allow you to:Have faster time to insightEasily share information with key stakeholders Put analytics into the hands of more business users …But, practically speaking, it will allow you to ….(AE: YOU CAN SELECT TO KEEP ALL TOPICS LISTED, AND CORRESPONDING SLIDES BELOW, OR CHOOSE TO FOCUS ON THE ONES THAT ARE RELEVANT FOR YOUR ACCOUNTS)
Visualization is critical for quickly understanding what is happening in ‘data’ …and seeing things that we haven’t been able to see before. Data visualization AND analytic visualization are valuable.For example, utilities can effectively visualize consumption trends, identify demand patterns, and target customer segments for specific energy efficiency campaigns on the basis of smart meter data. Or visualize load analysis to understand which assets are being over utilized.Data Visualization is a quick way to gain rapid ‘information’ from your data that is often very descriptive in nature. For example, exploration of customer data would show counts related to number of males versus females, number of customers in specific states or geographies, number of sales of boots to men versus women, etc. Using some basic bar charting techniques, you could easily spot some interesting trends….However, Analytic Visualizations provide more interesting details that result in rapid insight and even foresight. For example, an analytic visualization of customer data would show that there is a strong relationship (high correlation) between women and a particular type of boot sold in a specific state. Another analytic visualization would predict the future revenue of boots in a particular geography, and help determine growth.Analytic visualizations are critical for being able to truly gain insight from the data…and ultimately allow you to share reports/dashboards with others that convey more insight and foresight than hindsight.
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Data to Analytics to Insights in a
Director – Energy and Strategic Initiatives
Global Energy Business Unit
SAS Institute Inc.