Leading banks use business analytics to predict and prevent credit fraud, saving millions. Retailers use business analytics to predict the best location for stores and how to stock them. Pharmaceutical firms use it to get life-saving drugs to market more quickly. Even sports teams are getting in on the action, using business analytics to determine both game strategy and optimal ticket prices.
But these advanced business applications tell only part of the story. What’s going on inside these market-leading companies that sets them apart?
They have committed to deploying their people, technologies and business processes in new ways. They have committed to a culture that is based on fact-based decisions – which helps them anticipate and solve complex business problems throughout the organization. By embracing an analytical approach, these companies identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and identify the true drivers of financial performance.
This slideshow features eight essential actions, identified by SAS®, to help you get started with business analytics.
Copyright © 2011 SAS Institute Inc. Cary, NC, USA. All rights reserved.
A Step-by-step Guide for Getting a Job in 30 Days Ten solid tips for finding a job in a month.
Prepare for Canada's Anti-spam Law with Email Best Practices Tips to help organizations practice permission-based marketing and prepare for compliance with Canada's new anti-spam legislation.
Promising New Tablets New tablets that are looking to compete with the iPad.
What if dinosaurs had had technology? Or Big Data? Would it have made a difference in their story? Would they still be alive today? ... More >>
The Deep Data framework is based on the premise that a small number of information-rich data streams, when leveraged properly, can yield greater business value at lower cost than vast volumes of data. ... More >>
Cognitive clouds address three of the biggest challenges facing businesses today: securely sourcing data from multiple sources, analyzing unstructured data, and getting actionable results from analytic initiatives. ... More >>