Information analysis with cogNIAM

cogNIAM® stands for cogitation enhanced Natural language Information Analysis Method. That sounds complicated, but this method actually reduces complexity. More knowledge is available in organizations than is often recognized. Simply because that knowledge is fragmented and hidden in systems, processes, documents and people’s heads.
The method behind our products and services explained.

If information within an organization is not properly recorded, communication errors occur. These can be very expensive.

An example:
An organization produces a product. This product requires craftsmanship and specific materials. One step in the process is to attach a component to the product. However, special screws must be used for this step, otherwise the end product will be worthless. This knowledge that you need special screws for this step in the process is found in the manual at the back of the bookcase. However, most employees know this process like the back of their hand and no longer need this manual. The knowledge is in their head. A new employee then carries out the process alone for the first time. However, he has never seen the manual and uses ordinary screws.

This is an example of knowledge waste. The knowledge is poorly recorded and people rely solely on the knowledge in their head. cogNIAM is an information analysis method that prevents knowledge waste. cogNIAM records processes, rules, data and semantics and the links between them. The error in the example could be prevented with cogNIAM.

If cogNIAM were applied, the data product X requires screws of screw type Y the associated process step should be linked. The new employee could not have taken the step without encountering this fact. In addition, the definitions of the terms product, part, special screw and ordinary screw would have been determined. All knowledgeis secured and interconnected.. Failure because knowledge is inaccessible or ambiguous is no longer possible.

In addition, cooperation with domain experts from the organization is ingrained in cogNIAM. With cogNIAM, analysts have not spent months in a dark room building an information model isolated from the world. cogNIAM guarantees that analysts have concrete examples validated by domain experts from the organization itself.

Information analysis with cogNIAM provides an integrated knowledge solution. Processes, rules, semantics and data are no longer separate parts, but a coherent whole.

Semantics, data, business rules and processes

Our cogNIAM® method structures, and establishes links between, semantics, data, rules and processes in your organization. This avoids wasting knowledge, time and money. CogNIAM is the method to clarify the coherence of knowledge – within your organization or between you and another organization. It offers you the possibility to identify, analyze, structure and secure information independently of the system, so that you can work in a more targeted and flexible way. Thanks to the wide applicability of the method, everyone can learn and use simple skills and regulations from the same frame of reference. Moreover, by using concrete examples and a structured approach,  you can get to the core of the substance quickly. Organizations quickly obtain clear and reproducible results. The method achieves this carefully, accurately and above all in a clear and unambiguous manner. Multiple different interpretations of the same concept no longer exist. Knowledge is only open to one explanation and minimizes structural errors. It improves communication both internally and externally. A second example:

A change in legislation on mortgage interest deduction has consequences for many aspects in an organization such as a bank. Not only does the legal department have to make an impact and risk analysis, but Product Development also has to get started to make adjustments, Operations has to think about what processes will look like after the change, IT needs to get started to adjust programs and make data clearly available, HR arranges new training courses and Marketing must ensure communication with the customer. The MT must make decisions based on all information available to them. However, therein lies the danger. Because everyone thinks from their own perspective, from their own definitions, and their own responsibilities. Also especially from their own language. Employees often talk to each other from their own perspectives and knowledge is not linked to laws and regulations.

The knowledge molecule

We map the knowledge capital of your organization by analyzing the four components of the knowledge molecule:

Semantics is the art of assigning meaning. This is essential when working with data, rules and processes. Yet it is often neglected. Perhaps a list of concepts and definitions is made somewhere, but this is then not linked to anything.

We at PNA believe it is important that you do not just list concepts. There must also be structure. In definitions you can refer to other terms. You also link concepts to data elements, rules and processes. This way the meaning is always accessible and you can guarantee that everyone in the organization knows what a certain term means.

We have high demands for concept definitions. We use strict criteria for definitions, so that they are guaranteed to be unambiguous and clear.

Workshop: Fact Based Modeling

We live in a knowledge economy and a knowledge economy is built on data. However, data without context has no value. That is why it is important to properly structure and manage data. At PNA we are working on this on a daily basis.

With context it is also possible to make data understandable for everyone. A table with numbers without qualifications is difficult for a layperson to understand. Because we structure data consistently at PNA, it is possible to express this data in natural language that everyone can understand. We link meaning to data.

In addition to linking meaning to data, we also check data with rules. Rules determine which data may occur where and how new data is derived or retrieved. When data is retrieved or derived, we can also indicate this by linking data to the process. Data management at PNA is ready for the knowledge economy of the future.

Workshop: Fact Based Modeling

Rules are essential in a world that revolves around data. For example, you do not want it to be possible for you to record two birth dates for one person. Rules ensure that your data remains correct and consistent. You can also determine with rules how new data is derived from existing data, such as calculations or logical provisions. In addition, with rules you can also determine when certain information is retrieved in the process.

There are several standards for modeling rules. As a member of OMG (Object Management Group), PNA is involved with innovations in rule analysis. Our experienced analysts help with the development of world standards such as DMN (Decision Model and Notation).

The connection between the pillars of knowledge is very important to us. Rules always relate to data. Rules are also invoked at specific places in a process. The semantic meaning of all concepts used to describe rules must be known.

Workshop: Decision Model and Notation

Process analysis with BPMN 2.0
Processes form the core of many organizations. As a member of OMG, PNA is at the forefront of innovations in process analysis. PNA actively participates in the standard BPMN 2.0. PNA also has a best practice for BPMN with which processes can be modeled easily and clearly.

PNA does not consider processes to be separate from other knowledge in an organization. Processes use data and are subject to rules. Concepts are also needed to describe a process and to understand these concepts, definitions are necessary.

For example, we record what data is needed for a process step or what data it provides. Decision rules, for example modeled with DMN, can also be linked to a process step.

Workshop: BPMN 2.0

cogNIAM, full insight into your company knowledge
Do you want to apply cogNIAM within your organization? Then the cogNIAM workshop might be a good introduction. You learn to make connections between process, data, rules and semantics according to the PNA guidelines, so that you have an integral view of your knowledge.

Workshop: cogNIAM