Articulated Managing by Fact

Organizations rely on measurement and analysis data to view their performance for decision making. Appropriate measure and analysis should derived from business strategies. It should provide an insight about data and information about business processes, operation processes, customer and market data, competitor or other form of comparative data, Financial performance, benchmark data etc.

For the purpose of improvement or trouble shooting, data should be broken down into various level meaningful for decision making. Such data should include market segmentation, market share by region, loss of accounts, new market entry, product profiles, Cost of production, reject rate, time to market etc. Appropriate tools for analysis should be used to provide different set of scenarios for comparison.

Performance indicator for comparison should be taken from best practices, better competitors, Customer preference, Voice of customer etc. And these should be evaluated and used for target setting for improvement initiatives.

Case Study on Management by Fact

The companies I worked with have comprehensive sets performance indicators such as Investment and Financial indicators, key market indicators. To some, key operation indicators are included. Many still lack appropriate indicators for overall business process, operation issues, Human Resource, and other support processes.

Since indicators or data are not available for many areas, decision making are based on past experience and judgment. Due to lack of accuracy, some decisions are not favorable hence resulted in changes to the decisions. If data are available, time spend to collect them became a burden due to lack of infrastructure to support it etc. lack of the use in computerized data capturing system. In many cases, manual data collection into log sheet is widely practices in many companies. As data collation is done manually, its accuracy is way done the drain.

Opportunity for Improvement

There is saying: “You cannot measure, you cannot manage”. I fully subscribed to this statement. Organization should serious look into selecting a comprehensive set of indicators and data that is needed to use for decision making or day to day operation. Data collection should be made easy and accurate that calls for a different way of data collection. As much as possible, it should be human dependant to reduce error.

Once data is made available, data analysis should be performed to ensure data accuracy, relevance. Analysis of these data should be performed to provide difference scenarios. Where possible, data should be tested for its accuracy and value-add. Analyzed data should be reviewed at various level of the management hierarchy. Use if Information Technology for data sharing and updating should be explored. Meanwhile,

Performance indicator for comparison should be taken from best practices, better competitors, Customer preference, Voice of customer etc. And these should be evaluated and used for target setting for improvement initiatives.

Case Study on Management by Fact

The companies I worked with have comprehensive sets performance indicators such as Investment and Financial indicators, key market indicators. To some, key operation indicators are included. Many still lack appropriate indicators for overall business process, operation issues, Human Resource, and other support processes.

Since indicators or data are not available for many areas, decision making are based on past experience and judgment. Due to lack of accuracy, some decisions are not favorable hence resulted in changes to the decisions. If data are available, time spend to collect them became a burden due to lack of infrastructure to support it etc. lack of the use in computerized data capturing system. In many cases, manual data collection into log sheet is widely practices in many companies. As data collation is done manually, its accuracy is way done the drain.

Opportunity for Improvement

There is saying: “You cannot measure, you cannot manage”. I fully subscribed to this statement. Organization should serious look into selecting a comprehensive set of indicators and data that is needed to use for decision making or day to day operation. Data collection should be made easy and accurate that calls for a different way of data collection. As much as possible, it should be human dependant to reduce error.

Once data is made available, data analysis should be performed to ensure data accuracy, relevance. Analysis of these data should be performed to provide difference scenarios. Where possible, data should be tested for its accuracy and value-add. Analyzed data should be reviewed at various level of the management hierarchy. Use if Information Technology for data sharing and updating should be explored. Meanwhile,

Since indicators or data are not available for many areas, decision making are based on past experience and judgment. Due to lack of accuracy, some decisions are not favorable hence resulted in changes to the decisions. If data are available, time spend to collect them became a burden due to lack of infrastructure to support it etc. lack of the use in computerized data capturing system. In many cases, manual data collection into log sheet is widely practices in many companies. As data collation is done manually, its accuracy is way done the drain.

Opportunity for Improvement

There is saying: “You cannot measure, you cannot manage”. I fully subscribed to this statement. Organization should serious look into selecting a comprehensive set of indicators and data that is needed to use for decision making or day to day operation. Data collection should be made easy and accurate that calls for a different way of data collection. As much as possible, it should be human dependant to reduce error.

Once data is made available, data analysis should be performed to ensure data accuracy, relevance. Analysis of these data should be performed to provide difference scenarios. Where possible, data should be tested for its accuracy and value-add. Analyzed data should be reviewed at various level of the management hierarchy. Use if Information Technology for data sharing and updating should be explored. Meanwhile,

Once data is made available, data analysis should be performed to ensure data accuracy, relevance. Analysis of these data should be performed to provide difference scenarios. Where possible, data should be tested for its accuracy and value-add. Analyzed data should be reviewed at various level of the management hierarchy. Use if Information Technology for data sharing and updating should be explored. Meanwhile, employee should be trained in data base software such as Ms. Excel to ease the compilation and analysis of data

In summary, having understood the Management by Fact in Values and Concepts of Malcolm Baldrige, it should be taken as a strategic issue rather than operational. Leaders might benchmark their CEO of Baldrige Winners on their TQM successes in this value. My next article will articulate the next Core Values and Concepts in Public Responsibility and Citizenship

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All rights reserved. This article is written by the author based on his practical application experience. All definitions and interpretation of terminology are his point of view and has it has no intention to conflict with experts in similar topic. The author holds no responsibility for the use of this article in any way. Full Baldrige Criteria are available at http://www.nist.gov/quality

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