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All Blog Posts Tagged 'Warehousing' (8)

What Is the Future of Data Warehousing?

There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail. As a result, most savvy businesses now understand that they must be customer-obsessed to succeed. They must have up-to-the-second data and analytical…

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Added by Ronald van Loon on November 1, 2016 at 7:00am — 4 Comments

In spite of everything, 4th generation Data Warehousing will save Big Data...

From the consummate safety of his bunker, Posh Dave surveyed the magnificently pastoral pastel shades painted by God herself on the canvas that is the Pacific Ocean. "How on earth" he thought, "can people die of thirst and polluted water, when we have so much fresh, clean and pristine water on this goddam planet?"

The Data Leviathan, Martyn Jones

This may come as a surprise to some people who know my opinions on the subjects of data in…

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Added by Martyn Jones on November 11, 2015 at 2:15pm — No Comments

Success factor of the data warehouse and business intelligence implementation

Data warehousing project is a complicated task that demands goals and resources from both business and technical departments. It is expensive but normally a basic project. If it is done by non experts and non skilled support, it can be an expensive and may cause project failure. Several business analysts believed most of the data warehousing projects are unsuccessful to meet their proposed objectives (Furlow, 2001).

Hwang and Xu (2007) have chosen eleven success…

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Added by Avesh Dhakal on June 16, 2014 at 2:30am — No Comments

Data Warehouse Architecture

According to Weisensee et al., Data warehouse architecture follows following principles:

  • Data Sources
  • Data Warehouses
  • Data Marts
  • Publication Services

Extraction, Transformation and Loading (ETL):

ETL process is the foundation of BI. Success and failure of BI projects depends upon ETL process. It plays a vital role to integrate and enhance the worth of data. After the extraction, cleansing and arrangement…

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Added by Avesh Dhakal on May 20, 2014 at 12:30am — No Comments

Benefits of Data warehouse and Business Intelligence

The prime benefit of data warehousing is simplicity. The presentation of data in data warehousing is a single image. This single image is made by collecting data from different department of the organisation. Due to this, time for production and operation of data reduces and thus simplifies the decision making as well. This reduction of time to access data also leads to increase in production and effectiveness. Data warehouse will also help to enhance the function of operational systems. It…

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Added by Avesh Dhakal on May 4, 2014 at 9:30pm — No Comments

Business Intelligence Value Chain

BI is a group of concepts, methods and procedures for making better business decisions using information from several sources and applying knowledge and presumptions to build up a precise understanding of business. It gathers, manages and analyse the raw data for making good understanding/understandable information for…

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Added by Avesh Dhakal on April 28, 2014 at 9:00am — No Comments

Business Intelligence and Data Warehousing

In the modern era, business environment is changing rapidly. They are seeking for valuable business information as being essential assets which will not only lead organisation towards the path of success but also help to sustain business in a competitive environment. Business Intelligence (BI) is a model which relates managerial values, and a tool which is used in an organisation to handle and filter information in order to make healthy business decisions. It refers to the appropriate…

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Added by Avesh Dhakal on April 18, 2014 at 9:30pm — No Comments

The Fallacy of the Data Scientist Shortage

There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.

On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:

 

Duration…

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Added by Neil Raden on June 27, 2012 at 10:00am — No Comments

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