Design BiAnl- Business Intelligence - Analytics

Explaining - optimizing, processing operations.

Improving business processes is an old topic. In technical change hypes often overlooked as the thing that really matters.

The decisions are boardroom responsibilities. The advices what to be improved is by looking at the shop floor.

🔰 Most logical back reference.

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Contents

Reference	Topic	Squad
Intro	Explaining - optimizing, processing operations.	01.01
Why BPM	Why Engineering Organisations.	02.01
initiator-executor	The process circle in engineering organisations.	03.01
Process Mining	Process Mining.	04.01
cycle BPM	Elementary process cycle.	05.01
What next	Inventing changing Operations.	06.00
	Combined pages as single topic.	06.02

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Progress

This chapter is partially fresh, partially converted. Topics are:

• 2019 week 42
  1. New Topic on improving designing a process
  2. Just doing BI is not the real goal. Going for the organizational process.

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Why Engineering Organisations.

BPM - Business Process Modelling. The model of a business has the goal of understanding the business so you can improve things.
 

Demo - Design and Engineering Methodology for Organizations.

The first thing to be recognized is that organizations are designed and engineered artefacts, like automobiles and information systems. The distinctive property of organizations is that the active elements are human beings, more specifically human beings in their role of social individual or subject.
...... only if one recognizes that the core of organization is in the coordination processes (the entering into and complying with commitments) and not in the production processes, can one understand the operation of these kinds of organizations.
The deep structure of business processes (2015 Dietz) Interviews and Practitioner´s Publications

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The process circle.

The demo figure is placing the customer at the left side, the executor right. The product flow is right to left where it is normal left to right.

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Personal I prefer to stick with an left to right flow of the product delivery. This is coming back in the value stream. The Pull request is right to left and the Push delivery Left to Right.

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The process circle in engineering organisations.

Words are used to explain the engineering to others. The vocabulary for managing structuring organisations is not consistent. Words for even simple processes have that diffusion in perspectives.
 

The glossary by words is not consistent.

🤔 🎭	-💰-	⚙ ⌛
customer		delivery
requestor		performer
request		provide
initiator		executor
Pull		Push
service request	----	Service provider

Essential the same,but different words.

It is about the intentions with those words. The chosen word and how they are written is irrelevant.

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Operation, Information, Documentation

With DEMO several types of inforamtion are defined.

1. The clear value O-Organisation.
2. The associated I-organisation on what is happening.
3. D-organisation what is required as documentation.

This is a limited list if inforamtions types, there are many more.

• Who has excuted the process, when and how long did it last.
• Which tools were used, configured by type location version.
• The state of used tools going into another process of maintaining supporting those for the main proces.

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Requestor Informing by predictive, prescriptive reporting.

The requestor at the right side-up with delegated specfications what to be deleivered right side down.


Who is who in the execution, product creation, operation, is not visible. The shop floor is were the money is gnerated but too often getting ignored.
That left side is split up in preparation & information documentation and the operational delivery tn

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Process Mining.

Improving something is requiring understanding of the existing situation. Improving processes not really knowing what is going and than mine those processes.
 

Big data - IOT 4.0

The hype (2019) is in getting data. To exagerate data is allabout, store data in datalakes. The expectation is that by some magic (big data , data science) processes will improve automagically.
The reality is that impeovemetn of processes is hard work, sometimes many years are needed to achieve goals.

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Reverse engineering processes.

Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products.

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Disc over your processes.

Business process management (BPM) is usually a top-down approach. You start by designing your process in a high-level model.
Then, you configure a system for managing and controlling your process.
This system then coordinates work between your employees, and other resources in your organization.

The process discovery has its value in the for humans not visible events and actions being flow: Process mining can analyze your process in a bottom-up fashion. You don't need to have a model of your process to analyze it ? Process mining uses the history data in your IT systems.
Your IT system already records all steps of your process in execution. With process mining, you get a process model from these data. This way, your real process, and actual business rules, can be discovered automatically.

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Big data - Analyzing events

💣 Analysing processes is requiring data. In information processes the number of available events is usually much bigger (volume), generating often (velocity) even chaning quick as of used tools (varicity). Not every system techniacal system environmment is suited to do this kind of work. Wiht guided sampling the size can get decreased.
This kind of analysis seems to be a fit in a shop floor review, not for continous monitoring.

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Elementary process cycle..

As long there is a relevant process, that process should continously reviewed and in time improved or abandoned when there are changes. The world is changing continously.
 

Process cycles at ICT

There are many process cycles at ICT. A generic one is at the SDLC chapter. That one is not technical oriented but focus on the business goals.

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Practical example using the process cycle

Improving a business process is a cycle. Adding the vlaue stream concepts is more focussing on business goals. (Link - reference is at the figure)

In today´s digital context, business process is considered to be the composition of dierent activities involving informationization technologies (IT) and people working together to achieve an organizational goal. Organisations are rigorously redesigning business processes using several best practices with the aim of improving their operations in terms of time, quality, cost, and flexibility [4].

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The typical BOOM steps followed by a business analyst in the software development life cycle (SDLC) of an enterprise system are as follows:

• Step 1: initiation: a business case is made for the software project;
• Step 2: discovery: eliciting, analysis, and documentation of detailed requirements are done.Testing activities also occur during this step;
• Step 3: construction: the software solution is built and if an iterative lifecycle approach is being used on the project, requirements, elicitation, analysis, and documentation continue;
• Step 4: final verification and validation (V&V): the business analyst supports final testing before the completed solution is deployed, reviewing test plans and results and ensuring that all requirements are tested;
• Step 5: closeout: the business analyst supports the deployment process, reviewing transition plans and participating in a post-implementation review (PIR) to evaluate the success of change management.

Improving the helpdesk proces using tickets as a service provider applying value stream. Not only defining there is a proces according to ITIL, The proces can be oursoured, but reviewing that with value on activities.

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Inventing change Operations.

There are different views in a process. One is focussing on the processing activities another is focussing on the product, sub products with qualities. They are strong related, processes are changing products (input) into a new different products (output).
 

Adding value

💣 Analysing processes is requiring data. There is no real overhead created when the data already present in the main proces can be used. Adding overhead only by generating the data needed should be evaluated by its adding valued component.
Only adding overhead with the goal of satisfying managers delivering them nice reports, is too often not sensible.

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Two powers data and processes

From the same process mining source as previous. ( wil van der aalst)

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Questions on processes can be found in data
Processes are delivering data (events)

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Combined pages as single topic.

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🔰 Most logical back reference.