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The 3 Keys to Loyalty Marketing in 2012 and Beyond

On July 21, 2011, Posted by , In Recorded Webinars, By , With No Comments

At the heart of effective Customer Loyalty Management is the data that represents customers and their interaction with your business. There are three key areas to managing this big data: depth, breadth and speed. Breadth of big data focuses on accessing as much historical data as is relevant. Depth of…

Big Data: How to Release the Value

On July 13, 2011, Posted by , In White Papers, With No Comments

Enterprises are investing heavily in BI tools to deal with the deluge of Big Data, they are only capturing the tip of the iceberg, and failing to tap the full potential of their data. Fortunately, new technologies now make it possible for companies to roll out analytics enterprise-wide, with a…

Business Intelligence: How to Deploy Analytics Fast

On July 12, 2011, Posted by , In White Papers, By , With No Comments

Companies that want to rapidly deploy BI applications across the enterprise, with Big Users and Big Data, need to ensure that they have their data in the right place at the right time. By following Agile BI Methodology, using best-of-breed BI tools, and ensuring adequate database performance, enterprises can achieve…

Business Intelligence: Multiply the Value

On June 22, 2011, Posted by , In White Papers, By , With No Comments

The key to getting value from analytics is to deliver high performance to a wide audience. If the BI tool is too slow or dragged down by too many users, it becomes worthless. This is why, in the past, it was impossible to widely deploy BI – the underlying technology…

How to rapidly deploy BI applications across the Enterprise

On June 15, 2011, Posted by , In Recorded Webinars, By , With No Comments

Business Intelligence applications are the doorway to unleashing the analytic power of your enterprise data warehouse. But more often than not your data remains locked away, inaccessible to all but a handful of users. So you can’t get the answers you need when you need them. What good is the…

Meeting the New Demands of Enterprise Analytics with Business Intelligence

On May 26, 2011, Posted by , In Recorded Webinars, By , With No Comments

Getting more from your analytic environment is critical to successfully enabling enterprise wide business intelligence. As BI adoption grows within your company, your systems will be challenged by exploding data volumes, greater demands for high-speed analytics and pressure from a growing and pervasive community of users. This expanding user base…

The key to SAP BW performance

On March 9, 2011, Posted by , In Recorded Webinars, With No Comments

What do some of the largest companies in the world have in common? They use SAND’s certified, integrated Nearline solution to improve SAP BW performance. On March 29, 2011 SAND Chief Operating Officer Mike Pilcher presented a special webinar on the **key to achieving SAP BW performance** — the one…

5 big changes in Consumer Analytics

On March 1, 2011, Posted by , In Recorded Webinars, With No Comments

SAND powers hundreds of terabytes, thousands of users, and the most complex Consumer Analytics in the world for companies like dunnhumby, Krogers, Tesco, and Home Depot. On March 1, 2011 SAND Chief Operating Officer Mike Pilcher presented a special webinar on the **5 big changes in Consumer Analytics** and outlining…

SAND: Analytic User Scale

On December 7, 2010, Posted by , In White Papers, With No Comments

Data warehousing applications require a database system capable of efficiently performing ad hoc queries on large amounts of data. Traditional systems designed for OLTP applications with conventional lock-based schedulers do not perform well in this environment. For a query that visits every row in a table, a lock-based scheduler must…

How SAND powers Tesco Club Card and big data for dunnhumby

On September 21, 2010, Posted by , In Videos, By , , With No Comments

Paul Hunter, head of core delivery for dunnhumby talks about using SAND, the world’s most advanced column MPP database, to deal with big data — large concurrent user populations, and complex analytics for over 350 million retail analytics customers on behalf of clients such as Tesco, Kroger, and Home Depot….