Yearly Archives: 2011

The only thing certain about the future is change

As 2011 draws to a close, it seems the economic crisis is set to continue, with the unreliability of the euro only exacerbating an already difficult financial landscape. This economic uncertainty means that the future is increasingly difficult to predict, …Read more

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Streaming Analytics – Handling Continuous Data Flow

Many industries use different analytics solutions, but as the ongoing flow of relevant data is becoming more frequent we see that pure analytics does not really address the need to continuously process this data. Streaming analytics expands system’s processing capabilities …Read more

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Counterparty Risk Analysis – Enhancing Existing Solutions

The current complex global financial markets include risks that are distributed across many entities. Credit risk in no longer limited to two parties, a bank and borrower, it now includes a variety of financial products and instruments, which makes counterparty …Read more

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Risk Management Analytics

Nearly every move in the current business world involves some type of risk. These risks can stem from uncertainty in financial markets, project failures, legal liabilities, credit risk, or any uncertain or unpredictable cause or event. This is why organizational …Read more

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PnL VaR – Drivers and Implications

When discussing PnL VaR, we refer to the implication profit and loss calculations of an enterprise, mostly financial institutions, on its value at risk measures. This data is used to provide an estimate of the amount of economic capital the …Read more

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Value at Risk Aggregation – A Major Challenge of Risk Management

One of the major challenges in the management and measurement of risk that many financial institutions face is finding a coherent approach to value at risk aggregation. Some of the drivers behind this challenge are developments in regulatory standards and …Read more

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CVaR Value at Risk – an Introduction

Value at Risk (VaR) is a general tool for assessing market risk; it measures the worst expected loss over a given horizon under normal market conditions at a given level of confidence. CVaR value at risk is the most common …Read more

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MDX XMLA Basics

If you are looking into MDX, XMLA and the connection between, you arrived at the right place. We have put together this post to provide some basic information about MDX XMLA.

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OLAP Performance Tuning Tips

In this post, we’ve collected a number of typical OLAP performance issues, with tips on how to perform OLAP performance tuning.

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Real Time BI

Many businesses need the ability to aggregate and analyze complex business data in real time. This isn’t possible with traditional business intelligence solutions, which perform resource-intensive analysis and usually run in overnight batches. To overcome this limitation, several vendors have …Read more

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In Memory Business Intelligence – Challenges of Real Time Processing

In classic OLAP solutions, which usually store data on a hard disk, a key bottleneck is data access speed. Storing data in memory speeds up data access dramatically is a first step to performing real time OLAP analysis. In in …Read more

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OLAP, MOLAP, ROLAP or HOLAP? OLAP Acronyms Explained

If you’re looking into OLAP technology, you’ve probably come across a large number of acronyms describing different flavors or types of OLAP. We’ve put together this post to help you make sense of the mess with brief definitions of each …Read more

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Streaming OLAP – Handling Data in Motion

As traditional OLAP systems are usually designed to analyze large databases of historic data, they lack the ability to process the most current events as they are introduced into the system. Streaming OLAP provides the ability to continuously monitor new …Read more

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RTOLAP – Real Time OLAP Explained

Real time OLAP, or RTOLAP, is the capability to quickly retrieve, aggregate, analyze and present multi-dimensional data for cubes whenever there are changes to the data in the relational data source, without having to run heavy batch processing on the …Read more

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OLAP and OLTP Hybrid Systems – Fact or Fiction?

Classic OLAP and OLTP systems are considered to be opposites – OLTP systems process simple, ongoing data such as sales, job orders, stock fluctuations, etc., and need to deal with it in real-time; OLTP is about processing masses of data …Read more

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