Question 35 of 100

We always base our daily operational decisions on facts, data and knowledge.

We recommend that you answer the questions in the order determined by the "next" button below. However, to allow you flexibility, the links below allow you to jump to different Principles.

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You need to decide for which level of your business you are answering these questions. We suggest that you first answer for your most immediate work group, (If you are part of a large organization, you may later choose to answer as part of the larger group of which your work group forms a part.)

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Information is presented under the following headings.

Why this is important

Old thinking - new thinking

What you need to do

You should collect and use data and information

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Avoid doing these poor practices

Do not enable employees to actively participate in the workplace or to make decisions by providing adequate skills, knowledge, power, resources or authority.

Bosses do not do their own analysis - they delegate analysis to "assistants" or "statistics units".

Measurement and process thinking are not understood or thought relevant.

Do these good practices

Widespread competency at collecting and interpreting data to measure results of daily work.

Systems make it easy to display first-level analysis of data (eg charts and graphs).

Written procedures exist describing methods to analyze data at different levels of the company.

An understanding at each level of the company of how the information is analyzed and used at the next level and how it is collected and analyzed at the previous level. Respect for each other's needs and processes.

Prominently displayed local and business performance data. Staff can explain the data and the implications for the customer and the company.

Extensive use of control charts – which are understood – to present and help understand data.

Awareness sessions are conducted to improve understanding of data, information and variation.

Principle 5: Improved Decisions (Item 1)

Effective use of facts, data and knowledge leads to improved decisions.

Why this is important

Principle 5 is the powerhouse that drives all the other Principles. It provides that data on which the decisions about all the other Principles are based. It is the third part of the essential combination:

  • make plans to do things
  • implement those plans
  • find out if those plans worked.

It is difficult to single out one of the Principles as being of special importance. However, because of its huge influence in all the other Principles, we consider Principle 5 as the most important. Principle 5:

  • is the life blood that lets you align your company's operations with its strategic directions
  • focuses on the information you need to manage the company, measure effectiveness of performance, drive improvement of performance and increase competitiveness
  • requires use of non-financial and financial information and data.

Information and analysis can themselves be sources of competitive advantage and productivity growth.

Research indicates that this Principle is important for both improving your company's KPI performance and for increasing your Business Improvement score.

Unfortunately, most companies do not do it well. Of the ten Principles, Principle 5 ranks an equal last (along with Principle 6 `Variability') in terms of how well companies that have applied for a Business Excellence Award have been rated by evaluating teams. This means that there is considerable room for improvement.

Most companies do not use facts and data at all in their decision making. Preferring instead to make their decisions based on hunches and unproven assumptions.

Measuring progress towards your goals and implementation of your strategies can be the single most important step you can make in getting better results. Until you take this step, your company assumes that it is making progress and that things are happening. After it begins to measure, the company finds that all is not as it would hope.

Old thinking - new thinking

The old thinking is that by some magic, not only do bosses know everything, but they know everything without looking at any data. If any data is consulted, it will be the budget – and usually only the expenses part of the budget.

Although we are in an `information age', decisions are still largely being made through gut feel, past experience, best guess or habit. In most companies, the right hand still does not know what the left is doing – or even if there is a left hand. We may have the technology, but do we have the competency or the will to base our decisions on information and knowledge?

The new thinking is that of management-by-fact. Acknowledgment that measurement and analysis of performance is important. Such measurements provide crucial information about results, key processes and outputs. As we saw in Principle 2 (`Focus on Achieving Results'), this provides an important focus on achieving results — meeting your goals and objectives. In this new thinking, many different types of data and information are needed for performance measurement, including information on customers, products and services, operations, markets, competitors, suppliers, employees, costs and processes.

Data and information are needed for planning, improving your operations, reviewing your overall performance and comparing your performance with competitors or with best practices benchmarks.

In Principle 5, we look at how we gather, analyze and make decisions based on that data, information and knowledge. [In Principle 6 (`Variability'), we will look at how to use data to improve at our processes.]

What you need to do

Principle 5 requires that you have a process for converting data into meaningful information. And that you use this information in a preventative, proactive way to assist with decisions to continually improve processes, outputs and results at all levels of the company.

Principle 5 requires that

  • you have an effective performance measurement system
  • you carefully select and use measurements and indicators to track daily operations and overall company performance
  • your measurements are aligned and integrated so all measurements work together to the same ends
  • your measurements allow company-wide measurements and comparisons
  • performance measurements allow you to track work-group and department contribution towards key company targets
  • data and information are accurate, reliable and valid. If it is not, all attempts at interpretation will be scorned

You should collect and use data and information

You should collect and use data and information:

  • to inform your decisions about the needs of your important stakeholders
  • to meet the needs of your important stakeholders
  • to inform your decisions about your core activities.

You should have processes to deal with the uncertainty contained in missing information when making strategic decisions. You seldom have information about all phpects of your decision before the event. How do you cope with making informed strategic decisions when you do not have all the information?

You should keep your performance measurement system up-to-date to meet your current business needs. This is an extremely difficult ask. Information technology is usually a significant expense for most companies. Most companies become locked into a technology they purchased at a point in time. Unfortunately, technology moves forward very quickly. Yesterday's technology could not do what is easy today.

Alliance partners can also be users of your data and information. Being able to supply such performance information can be a competitive advantage when building your business networks, alliances and supply chains.

Although graphs and charts can assist in transmitting information, the graphs and charts are not in themselves the purpose of collecting the data – although many companies appear to think so.

The purpose of collecting data and sharing information is many-fold. What has the greatest long-term impact is its use for decision-making.

How do you analyze the decision-making process itself over time? Has your decision-making been effective? Were data, information and knowledge used in an appropriate way? Were decisions made at the appropriate level?

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