White Papers

Choosing BI Tools

The range of BI offerings available can be bewildering. Take the example of a major international bank that made the decision to move into BI tools. They had the experience in-house to understand multi-dimensional databases, slice and dice, OLAP as well as how to apply these to their business. So they approached a number of vendors.

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Implementation of a Real-Time Data Warehouse Hampered by Immature Toolset

The opening of the New Zealand electricity industry to competition with power being bought and sold just like shares on a stock market brings its own IT challenges to a large state-owned enterprise. To be able to participate in the power "share market" this company has to build an ultra-reliable data warehouse that collects real-time power pricing data 24 by 7. The data is collected as it is published by the trading exchange by data feeds that check for updates every few minutes. These occur across the Internet with two completely independent encrypted data feeds operating in parallel loading two separate data warehouses. The energy traders make their buying and selling decisions based on the data as soon as it is received.

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Overcoming major performance problems loading a large data warehouse

A major Australasian bank has a large data warehouse where they are building a customer-centric view of their corporate data. In the past banks have been limited by the product-based nature of their operational systems. Most banks are now moving towards having complete views of their customers' relationships with them as this greatly enhances marketing activities. Of course this involves extracting large data volumes as well as running very big data transformation jobs.

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6 Predictions for Business Intelligence in 2012 -2013

*A look at in-memory analysis, visual discovery, big data, mobile BI, cloud and social BI achievements in 2011 -2012 and forecasts for the year ahead.*

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