Category Archives: Data

Techniques misconceptions about data and how important it is to the business

What is Architecture?

Background: Architecture and Engineering are two terms often used to describe IT roles. In 2002, I was fortunate enough to work on a large Enterprise project using Spewak’s methodology. Prior to that project, I worked on many financial data related … Continue reading

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Architecture versus Re-Engineering

Modernization of business applications can take many forms. One approach is doing a deep dive into the current implementations to document the current state. Another approach is to create a technical architecture of the current implementations. In the first approach, … Continue reading

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Master Data Management – Data Velocity

Worldwide master data management (MDM) software revenue will reach $1.9 billion in 2012, a 21 percent increase from 2011, according to Gartner, Inc.  The market is forecast to reach $3.2 billion by 2015.  Research by Dell ‘Oro group is predicting … Continue reading

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Importance of Relevant Data

Most software solutions fall short of customer expectations due to one common problem: Not properly capturing the relevant business data.  Failure to capture the relevant data makes it difficult,  if not impossible for the business to measure results.  In my … Continue reading

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The Purple Trap

Data modeling is a methodology used to logically represent the data you store about your business and is an important early step in any Data Warehouse project. The quality and grain of the data identified in the data model is … Continue reading

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What makes a Business Application

Business Process Modeling, BPM, and Data Modeling, DM, are two disciplines key to designing a robust Business Application.    BPM outlines process, procedures and business logic used to run the business. DM organizes the data stored to manage and measure business … Continue reading

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Systems Thinking

Peter Senge talks about Systems Thinking in his book The Fifth Discipline. His point is that businesses tend to apply simplistic frameworks across complex systems (i.e. your business) and fail to see an organization as a dynamic process.    The basic idea … Continue reading

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Six Sigma, Business Intelligence and Data

Six Sigma is a management strategy developed by Motorola in 1986.  Basically, it’s a set of tools designed to analyze and improve business processes by removing defects.  DMAIC is one of the project methodologies used in Six Sigma to improve existing … Continue reading

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Data Shrinkage

The concept of shrinkage is considered when ordering raw materials to account for the loss of material during the manufacturing process.  Shrinkage is also used in accounting to represent the loss of finished product from the point of manufacture to final sale.  Data shrinkage is when data is lost in the process of … Continue reading

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Perspective on Data

Having the proper perspective is one of the more challenging aspects of data management.   One way to approach data is to consider it in terms of information.  Data is the raw material needed to make an informed decision.   In other words, information is … Continue reading

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