First and foremost, power is personal. Our perception of a situation has much to do with our ability to affect a situation. Therefore, power is each person’s ability to influence a situation. When a person has no ability to influence their situation (even, if as a result of an inaccurate personal belief), they have no power.
Definition of Power
Power is each person’s ability and willingness to influence a situation.
The fundamental law of power is that it is situational, multifaceted, dynamic, and perishable.
Power is Situational
Power is without a doubt situational, a person who is very politically powerful, but having no wilderness knowledge or skills, find themselves alone in the middle will have less ability to save themselves, than an experienced woodsman.
Power is Multifaceted
Power has many attributes (social influence, mental reference, innate ability, and situation), which aggregate to provide the total of your power at in given time and in any given situation
As a person’s situation changes, their ability to influence the situation can be increased, decreased, and/or lost. Also, facets of power are not static but are morphed by change.
A person can, through inaction, lose the ability to influence a situation forever.
Management and Measurement
You can’t manage what you don’t measure is an old management adage that has been used for many years and while most attribute it to Peter Drucker, some claim that the quote was first used by Dr. W. Edwards Deming, although it is a bone of contention whether or not the quote is used in the correct context.
Irrespective of who said it first, I have always agreed with the principle. Coming from a corporate background where this is one of the management principles often used, I was surprised to learn that there are those that strongly disagree with the statement. This group argues that there are many things being managed at work that aren’t measurable, from the confidence we instill in a new, young manager, to the quality of new hires.
The argument is made that quantity is easy…
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A semantic data model is a method of organizing and representing corporate data that reflects the meaning and relationships among data items. This method of organizing data helps end users access data autonomously using familiar business terms such as revenue, product, or customer via the BI (business intelligence) and other analytics tools. The use of a semantic model offers a consolidated, unified view of data across the business allowing end-users to obtain valuable insights quickly from large, complex, and diverse data sets.
What is the purpose of semantic data modeling in BI and data virtualization?
A semantic data model sits between a reporting tool and the original database in order to assist end-users with reporting. It is the main entry point for accessing data for most organizations when they are running ad hoc queries or creating reports and dashboards. It facilitates reporting and improvements in various areas, such as:
- No relationships or joins for end-users to worry about because they’ve already been handled in the semantic data model
- Data such as invoice data, salesforce data, and inventory data have all been pre-integrated for end-users to consume.
- Columns have been renamed into user-friendly names such as Invoice Amount as opposed to INVAMT.
- The model includes powerful time-oriented calculations such as Percentage in sales since last quarter, sales year-to-date, and sales increase year over year.
- Business logic and calculations are centralized in the semantic data model in order to reduce the risk of incorrect recalculations.
- Data security can be incorporated. This might include exposing certain measurements to only authorized end-users and/or standard row-level security.
A well-designed semantic data model with agile tooling allows end-users to learn and understand how altering their queries results in different outcomes. It also gives them independence from IT while having confidence that their results are correct.