Tag: Business Architecture

  • The Laments of Business Architecture

    Business Architecture begins with a noble ambition:

    Understand how the organisation works.

    It then immediately draws 146 coloured boxes.

    These boxes are called capabilities.

    Nobody is entirely sure what some of them mean.

    But they are arranged in three tasteful horizontal bands, so confidence rises.

    At the top are strategic capabilities.

    In the middle are core capabilities.

    At the bottom are enabling capabilities, where Finance, HR and IT have been placed like plumbing.

    Someone adds maturity scores.

    Someone else adds heat-map colours.

    A director sees a large red box marked Customer Management and asks:

    “What exactly is wrong with Customer Management?”

    Nobody can answer without opening another PowerPoint.

    Business Architecture has begun.


    1. The Capability Model Is Not the Business

    This is the first and most persistent mistake.

    A capability model describes what an organisation must be able to do.

    That can be useful.

    It is not, however, a description of how the organisation actually works.

    Consider:

    Customer Complaint Management

    Lovely capability.

    But who receives the complaint?

    Who decides whether it is valid?

    Which department owns compensation?

    Where is the case recorded?

    Which regulations apply?

    What happens when Legal becomes involved?

    How much does the process cost?

    Which systems are used?

    Where does the work queue sit?

    Who can override the decision?

    How long does resolution take?

    Which suppliers participate?

    What metric defines success?

    The capability box answers none of this.

    It sits there.

    Blue.

    Rounded corners.

    Strategic.

    This is not understanding.

    It is taxonomy.

    Taxonomy is useful.

    So is a map of mammals.

    But you would not use one to operate a dairy farm.


    2. Capability Modelling Fails Because It Removes All the Interesting Things

    The great attraction of capabilities is that they are supposed to be stable.

    Organisations change.

    Processes change.

    Technology changes.

    Org charts change.

    But the fundamental capabilities remain.

    Excellent.

    Unfortunately, almost everything management actually wants to understand is contained in the unstable parts.

    Why is this expensive?

    Why are customers unhappy?

    Why does this take six weeks?

    Why do two departments do the same thing?

    Why does nobody own this decision?

    Why can we not automate it?

    Why does changing one product require eleven systems?

    Why does Finance reconcile the same data three times?

    Why does the call centre employ 400 people?

    Why do we lose customers at this point?

    The answer is rarely:

    “Our Level Three capability decomposition is insufficiently mature.”

    The answer is usually somewhere in:

    process,

    organisation,

    information,

    systems,

    decision rights,

    controls,

    incentives,

    workload,

    economics,

    or historical stupidity.

    Capabilities abstract these things away.

    Then Business Architecture wonders why it cannot explain them.


    3. Every Capability Map Eventually Looks the Same

    A sufficiently generic capability model can describe almost any organisation.

    Strategy Management.

    Customer Management.

    Product Management.

    Financial Management.

    People Management.

    Risk Management.

    Information Management.

    Technology Management.

    Operations Management.

    Supplier Management.

    Congratulations.

    You have modelled:

    a bank,

    a university,

    a pharmaceutical company,

    a council,

    a manufacturer,

    and possibly a medium-sized criminal cartel.

    The labels are correct.

    They are also almost useless.

    The more generic the model becomes, the more reusable it is.

    The more reusable it becomes, the less it tells you about the organisation you were supposedly analysing.

    This is known as architectural elegance.


    4. The Argument About Nouns Begins

    Business architects can spend extraordinary amounts of time debating whether something is a capability.

    Is:

    Campaign Management

    a capability?

    What about:

    Marketing Campaign Management?

    Or:

    Market Engagement?

    Perhaps:

    Customer Acquisition?

    Someone will announce the capability naming convention:

    Verb-free.

    Noun-based.

    Business outcome focused.

    Technology agnostic.

    Someone else points out that Management appears forty-seven times.

    A workshop follows.

    Three senior architects spend ninety minutes discussing whether:

    Workforce Planning

    should be:

    Workforce Management

    or:

    People Planning

    Meanwhile the organisation cannot recruit nurses.

    This is Business Architecture achieving semantic purity.


    5. Then Comes the Hierarchy

    Capabilities require levels.

    Level 0.

    Level 1.

    Level 2.

    Level 3.

    Possibly Level 4 if the architect has recently purchased a large monitor.

    At Level 1:

    Manage Customers

    At Level 2:

    Manage Customer Relationships

    At Level 3:

    Manage Customer Contact

    At Level 4:

    Manage Customer Contact Preferences

    At Level 5, someone realises they have reinvented a process model.

    The rule is that capabilities describe what, not how.

    Unfortunately, after enough decomposition, what develops a suspicious resemblance to how.

    Nobody mentions this.


    6. Maturity Heat Maps: Corporate Weather Forecasting

    Once the capability model exists, somebody asks:

    “Can we assess maturity?”

    Of course.

    Everything can be scored from one to five.

    1 — Initial.

    2 — Developing.

    3 — Defined.

    4 — Managed.

    5 — Optimised.

    These words have the comforting precision of astrology.

    Workshops are held.

    Capability owners are asked to rate themselves.

    This produces fascinating results.

    Departments seeking investment score themselves red.

    Departments fearing intervention score themselves green.

    Capabilities owned by powerful executives become strategically amber.

    Capabilities nobody understands remain grey.

    The final heat map appears scientific.

    It has numbers.

    It has colours.

    It is therefore presented to the board.

    The board asks:

    “Why is Supplier Management a 2.7?”

    Nobody knows.

    But everyone agrees it should become 3.4 by 2028.

    A transformation programme is born.


    7. The Capability Owner Usually Owns Nothing

    Business Architecture loves capability ownership.

    Every capability should have an accountable owner.

    Excellent principle.

    Then reality arrives.

    Take:

    Order Fulfilment

    Sales owns the customer.

    Operations owns fulfilment.

    Finance owns invoicing.

    Supply Chain owns availability.

    IT owns the systems.

    Commercial owns the supplier contract.

    Risk owns controls.

    Nobody owns Order Fulfilment.

    So somebody is nominated.

    Perhaps the Operations Director.

    They receive an email.

    Congratulations. You are now Capability Owner for Order Fulfilment.

    “What authority does that give me?”

    None.

    “Do I own the budget?”

    No.

    “The people?”

    No.

    “The systems?”

    No.

    “The process?”

    Parts of it.

    “Can I change anything?”

    Subject to governance.

    Capability ownership has been successfully established.


    8. Capabilities Conceal Organisational Conflict

    Organisations are political systems.

    Not necessarily maliciously.

    Different units have different incentives.

    Sales wants revenue.

    Operations wants stability.

    Finance wants control.

    Product wants speed.

    Security wants fewer ways to be attacked.

    Procurement wants contractual compliance.

    Executives want all of these simultaneously by Q3.

    A capability model suppresses these conflicts.

    It draws:

    Product Management

    beside:

    Sales Management

    beside:

    Service Delivery

    as if these boxes peacefully coexist.

    They do not.

    They are fighting over:

    priorities,

    money,

    people,

    customers,

    data,

    and who gets blamed when delivery slips.

    If you want to understand how a business works, model the tensions.

    The boxes are not the interesting part.

    The arrows between them are.

    Especially the arrows nobody wants drawn.


    9. Value Streams Were Supposed to Save Us

    Eventually someone notices capability maps do not describe flow.

    Enter:

    Value Streams.

    At last.

    Something moves.

    Customer Need → Engage → Select → Purchase → Fulfil → Support.

    Beautiful.

    Except the actual organisation works like this:

    Customer asks salesperson.

    Salesperson emails Operations.

    Operations checks spreadsheet.

    Spreadsheet disagrees with ERP.

    ERP requires Finance approval.

    Finance asks Sales for contract.

    Contract is in SharePoint.

    SharePoint permissions are broken.

    Customer phones again.

    Sales escalates.

    Operations creates emergency order.

    Finance rejects it because cost centre is wrong.

    A manager approves an exception.

    The order ships.

    Nobody updates CRM.

    Customer receives two invoices.

    The official value stream remains:

    Need → Fulfilment → Value

    The customer has indeed experienced a journey.

    Possibly through purgatory.


    10. Processes Were Declared Too Detailed

    Business Architecture often distances itself from process modelling.

    “Processes are implementation detail.”

    Sometimes.

    But if the organisation wants to understand why work takes 42 days, process might be worth looking at.

    The process people know:

    where handoffs occur,

    where queues form,

    where decisions wait,

    where exceptions multiply,

    where rework happens,

    and where somebody prints the electronic form before scanning it back into the system.

    Business Architecture knows this sits within:

    Case Management Capability

    Both perspectives matter.

    Only one tells you why everyone is miserable.


    11. Organisation Charts Lie Differently

    Surely we can understand the business through structure.

    No.

    The organisation chart shows reporting lines.

    It does not show work.

    A person may report to Finance while spending 70% of their time supporting Operations.

    A central team may nominally own a service while regional offices maintain parallel shadow teams because they do not trust central delivery.

    A transformation director may have 120 people on paper and no actual authority over any of them.

    An executive assistant may have no formal decision rights and nevertheless control access to half the organisation.

    The org chart is useful.

    But it is a map of hierarchy.

    Not power.

    Not workflow.

    Not influence.

    Not dependency.


    12. The Business Is Not Its Systems Either

    IT departments frequently possess the most detailed maps in the company.

    Applications.

    Interfaces.

    Databases.

    Networks.

    Servers.

    Unfortunately, these maps describe technology rather than business behaviour.

    The ERP may support:

    Order Management,

    Inventory,

    Finance,

    Procurement,

    Planning,

    and Reporting.

    That does not mean those capabilities function well.

    A single capability may span twelve applications.

    A single application may support thirty capabilities.

    This is why colouring capability boxes according to applications produces diagrams that resemble a quilt designed during a nervous breakdown.


    13. The Real Business Lives in Work

    If you want to understand an organisation, follow actual work.

    Not policies.

    Not strategy slides.

    Not declared process.

    Actual work.

    Take one customer request.

    Follow it.

    Who receives it?

    Where does it go?

    Who touches it?

    What information is added?

    What information is missing?

    Where does it wait?

    Who makes decisions?

    What systems are used?

    What spreadsheets appear?

    What approvals occur?

    What happens when something goes wrong?

    Who phones whom?

    What does it cost?

    What outcome emerges?

    Do this repeatedly.

    You will discover the business.

    It may bear only partial resemblance to the target operating model.

    This is normal.


    So What Actually Works?

    The answer is not to abolish capability modelling.

    Capabilities are useful.

    The mistake is pretending they are sufficient.

    A serious understanding of an organisation requires several models connected together.

    Not another gigantic framework.

    A small number of views answering different questions.


    14. Start With Outcomes

    Before modelling capabilities, establish what the organisation exists to produce.

    Revenue.

    Health outcomes.

    Manufactured products.

    Successful claims.

    Completed journeys.

    Resolved cases.

    Research.

    Education.

    Public safety.

    Whatever actually matters.

    Then define measurable outcomes.

    Cost.

    Time.

    Quality.

    Risk.

    Customer result.

    Volume.

    Capacity.

    Revenue.

    Margin.

    Error rate.

    This gives architecture a reason to exist.

    Without outcomes, capability modelling becomes corporate stamp collecting.


    15. Model Value Creation End to End

    Follow the major value streams.

    Not generic ones.

    Real ones.

    For a manufacturer:

    Customer Demand → Product Configuration → Planning → Procurement → Production → Quality → Delivery → Support.

    For a council:

    Citizen Need → Request → Eligibility → Assessment → Decision → Delivery → Review.

    For a bank:

    Customer Acquisition → Onboarding → Account Servicing → Transaction → Exception → Closure.

    Do not stop at departmental boundaries.

    The whole point is to cross them.

    That is where most dysfunction lives.


    16. Attach Capabilities to the Flow

    Now capabilities become useful.

    For each stage of a value stream ask:

    What capabilities are required here?

    This gives capabilities context.

    Instead of:

    Customer Management = maturity 2.6

    you get:

    Customer Identity Management is preventing digital onboarding because manual validation adds two days to 38% of applications.

    Now you have architecture.

    One is a coloured box.

    The other is a problem worth solving.


    17. Map the Operating Model

    For each significant area, model:

    People — who performs the work?

    Process — how does work move?

    Information — what information is created, consumed and authoritative?

    Technology — what systems support it?

    Decision rights — who can decide what?

    Controls — what constrains the work?

    Locations — where is the work performed?

    Suppliers — what external parties participate?

    Economics — what does it cost?

    Now you can understand structure.

    Not merely capability.


    18. Model Decisions

    This is enormously neglected.

    Businesses are decision machines.

    Approve loan.

    Accept risk.

    Set price.

    Release product.

    Prioritise work.

    Escalate incident.

    Hire employee.

    Pay supplier.

    Close case.

    Ask:

    Who makes the decision?

    Using what information?

    Under what authority?

    Within what time?

    What happens if they do not decide?

    What decisions are automated?

    Which require human judgement?

    Which are escalated?

    You will often discover that process delays are actually decision delays.

    A case does not spend twelve days being processed.

    It spends eleven days waiting for Susan to approve it.

    This is useful information.


    19. Model Information Flows

    Follow information as carefully as work.

    What is the authoritative source?

    Where is it copied?

    Who edits it?

    Who reconciles it?

    Where is it transformed?

    Where does meaning change?

    If five departments maintain five definitions of “customer,” no capability heat map will save you.

    Many organisational problems that appear procedural are actually informational.

    The business cannot act coherently because it does not share a coherent view of reality.

    That is architecture.


    20. Measure Queues and Handoffs

    A business is full of queues.

    Incoming cases.

    Orders awaiting approval.

    Projects awaiting finance.

    Contracts awaiting legal review.

    Incidents awaiting triage.

    Data awaiting reconciliation.

    Queues reveal capacity problems.

    Handoffs reveal organisational friction.

    Measure:

    arrival rate,

    processing time,

    waiting time,

    rework,

    exceptions,

    queue depth,

    handoff count.

    You do not need advanced mathematics to discover that a process requiring fourteen approvals will be slow.

    Although advanced mathematics can make the PowerPoint more frightening.


    21. Model Economics

    Capability maps are strangely reluctant to discuss money.

    Businesses are not.

    For major flows understand:

    cost per transaction,

    cost per customer,

    cost per product,

    labour cost,

    technology cost,

    supplier cost,

    failure cost,

    rework cost,

    cost of control.

    Then transformation can focus on actual leverage.

    A £4 million project to optimise a capability costing £300,000 annually may be architecturally elegant and economically deranged.

    Business Architecture should occasionally mention this.

    Finance will appreciate the novelty.


    22. Model Variation

    The average process rarely exists.

    There is:

    normal work,

    priority work,

    exception work,

    regulatory work,

    manual work,

    international work,

    legacy work,

    VIP work,

    and whatever Finance does at year end.

    Architecture must understand variants.

    Often 80% of cost is created by 20% of exceptional cases.

    The official process describes the 80%.

    The organisation spends its life dealing with the other 20%.


    23. Observe Work Instead of Workshoping It

    Workshops are useful.

    But people describe what they believe happens.

    Observation reveals what happens.

    Sit with the service desk.

    Sit with accounts payable.

    Sit with planners.

    Sit with nurses.

    Sit with customer service.

    Watch.

    Ask:

    “What are you doing now?”

    “Why?”

    “Where did that information come from?”

    “What happens next?”

    “What happens when this fails?”

    “Why are you copying that into Excel?”

    The spreadsheet is particularly important.

    Spreadsheets are where organisations store truths their formal systems cannot accommodate.

    They are the dark matter of enterprise architecture.


    24. Find the Shadow Organisation

    Every mature enterprise contains an unofficial organisation.

    It consists of:

    personal spreadsheets,

    shared mailboxes,

    informal phone calls,

    Teams chats,

    local databases,

    manual reconciliations,

    favours,

    exceptions,

    and people who know who to ask.

    Do not dismiss this as poor governance.

    It often exists because the formal structure does not work.

    The shadow organisation is diagnostic.

    It tells you where the official architecture is failing.

    Study it before trying to kill it.


    25. Map Causality, Not Just Structure

    This is the important shift.

    Traditional Business Architecture often says:

    These things exist.

    Better architecture asks:

    What causes what?

    Example:

    Customer complaints are high.

    Why?

    Delivery dates are missed.

    Why?

    Production schedules change late.

    Why?

    Component availability is unreliable.

    Why?

    Supplier forecasts are poor.

    Why?

    Planning data is fragmented.

    Why?

    Three business units forecast independently.

    Now you have a causal chain.

    Improving Complaint Management Capability would not solve it.

    Improving upstream planning might.

    This is the difference between architecture and cataloguing.


    26. Build a Business Knowledge Graph

    If you want a genuinely useful enterprise model, stop treating architecture objects as isolated diagrams.

    Represent relationships.

    Capability:

    supports Value Stream Stage.

    Process:

    realises Capability.

    Organisation Unit:

    performs Process.

    Role:

    makes Decision.

    Application:

    supports Process.

    Data Object:

    informs Decision.

    Control:

    constrains Process.

    Supplier:

    provides Service.

    Metric:

    measures Outcome.

    Cost:

    attaches to Activity.

    Risk:

    threatens Outcome.

    Now the enterprise becomes queryable.

    You can ask:

    Which applications support customer onboarding?

    Which processes rely on the retiring platform?

    Which capabilities depend on Supplier X?

    Which decisions require data from System Y?

    Which value streams are affected if Site Z closes?

    Which organisational units perform duplicated activities?

    That is vastly more useful than staring at a Level Two capability map.


    27. Keep the Capability Model Small

    A useful capability model might contain:

    50–150 meaningful capabilities.

    Not 800.

    When everything becomes a capability, nothing is a capability.

    Use capability modelling to create a stable vocabulary.

    Then stop decomposing.

    The purpose is orientation.

    Not molecular analysis.


    28. Stop Scoring Everything

    Do not maturity-score every capability because the spreadsheet has a column.

    Assess capabilities when there is a question.

    Where should we invest?

    Where are risks concentrated?

    What enables strategy?

    Where are major cost drivers?

    What constrains growth?

    Use evidence.

    Metrics.

    Observed performance.

    Technology condition.

    Skills.

    Process outcomes.

    Do not ask managers:

    “How mature do you feel your capability is from one to five?”

    This is not architecture.

    It is organisational astrology with Excel.


    29. Model Change as Hypotheses

    Transformation should say:

    If we change X, we expect Y because Z.

    Example:

    If we automate eligibility validation, average case handling time should fall from 27 minutes to 18 minutes because staff currently spend nine minutes retrieving information from three systems.

    Now measure it.

    If nothing improves, the hypothesis was wrong.

    Architecture learns.

    This is vastly healthier than declaring:

    Digital Case Management Capability uplift: Green.


    30. Connect Strategy to Evidence

    Strategy says:

    Improve customer experience.

    Business Architecture should translate:

    Which customer outcomes?

    Which journeys?

    Which measurable pain points?

    Which capabilities contribute?

    Which processes create those outcomes?

    Which systems constrain improvement?

    What investment changes the causal chain?

    That is genuine traceability.

    Not:

    Strategic Theme → Capability → Initiative.

    Three boxes and an arrow may satisfy the framework.

    They do not necessarily explain anything.


    The Actual Model of the Business

    If you genuinely want to understand how a business is structured and how it improves, think of it as seven interacting systems.

    1. Value

    What outcomes does the organisation produce, for whom, and why do they matter?

    2. Work

    What activities transform demand into those outcomes?

    3. Organisation

    Who performs the work, and where does authority sit?

    4. Information

    What facts, records and knowledge make the work possible?

    5. Technology

    What systems automate, constrain or enable the work?

    6. Economics

    What resources are consumed and where does value leak?

    7. Governance

    Who decides, who controls, who accepts risk and who is accountable?

    Capabilities sit across these systems as a vocabulary describing what must be possible.

    They are not the systems themselves.

    That distinction matters enormously.


    The Final Lament

    The tragedy of Business Architecture is not that capability modelling is useless.

    It is that capability modelling is seductive.

    It produces something quickly.

    It looks strategic.

    It fits on a wall.

    It can be coloured.

    Executives can understand it in thirty seconds.

    Consultancies can benchmark it.

    Tools can store it.

    Architects can argue about it indefinitely.

    And none of this guarantees that anyone understands how the business actually works.

    The business itself is messier.

    It is people making decisions with incomplete information.

    It is customers creating demand.

    It is work moving through queues.

    It is systems exchanging data.

    It is budgets constraining choices.

    It is suppliers failing.

    It is controls slowing things down for good reasons and bad ones.

    It is informal networks compensating for broken formal structures.

    It is history embedded in process.

    It is politics embedded in organisation.

    It is economics embedded in technology.

    And improvement happens when you understand those relationships well enough to change the right one.

    So keep the capability map.

    Hang it on the wall.

    Use it as the index.

    But when someone points at a large red box labelled:

    Customer Management

    and says:

    “We need to improve this capability,”

    do not immediately launch a £20 million transformation programme.

    Ask:

    “What exactly is happening to customers?”

    Then follow the work.

    Follow the decisions.

    Follow the data.

    Follow the money.

    Follow the queues.

    Follow the exceptions.

    Follow the spreadsheets.

    Eventually you will find the actual business.

    It is usually nowhere near the capability map.

  • Business Architecture

    A simple business architecture for a manufacturing company would involve several key components, including organizational structure, processes, technology infrastructure and data management.

    Here is an example of how such a framework could be defined:

    Organizational Structure:

    The manufacturing company can have a hierarchical structure with the CEO at the top, followed by department heads for production, supply chain, finance, marketing and sales. Each department would have its own team members responsible for specific tasks within their domain.

    The organizational structure of a manufacturing company can vary depending on the size and scope of its operations. However, here is an example of how it could be designed:

    • CEO: The Chief Executive Officer (CEO) would head the organization and be responsible for overall strategy, vision and direction.
    • Department Heads: There would be department heads for key areas such as production, supply chain management, finance, marketing and sales. Each department head would have a team of managers and staff members reporting to them.
    • Production Department: The production department would be responsible for designing and developing products, planning and scheduling production runs, maintaining equipment and ensuring quality control standards are met.
    • Supply Chain Management: This department would manage procurement of raw materials, inventory management, logistics and transportation.
    • Finance Department: The finance department would be responsible for financial planning, budgeting, accounting, tax compliance and financial reporting.
    • Marketing and Sales Department: This department would focus on market research, product marketing, advertising, promotions, sales forecasting and customer service.

    Each department would have its own set of processes, technology infrastructure and data management requirements to support their specific functions within the organization.

    A Mission Statement is a document that describes a company’s purpose, values and goals so it can guide its actions and decisions. For a Manufacturing Business, the Mission Statement could be “To provide high-quality products at competitive prices while creating value for shareholders, employees and society”. Additionally, it helps them to align their strategies with stakeholders’ expectations and manage their resources in a more focused way.

    Processes:

    The processes involved in a manufacturing company include product design and development, procurement of raw materials, production planning and scheduling, quality control, inventory management, order fulfillment, customer service and after-sales support. These processes need to be well defined, documented and followed by all team members to ensure smooth operations.

    The processes involved in a manufacturing company can vary depending on the type of products being produced and the scale of operations. However, here are some examples of key processes that could be included:

    • Product Design and Development: This process involves conceptualizing new product ideas, creating prototypes, testing them for functionality and performance, and refining the design based on feedback from customers or market research.
    • Procurement: Once a product has been designed and developed, the next step is to procure raw materials required for production. This involves sourcing suppliers, negotiating contracts, managing inventory levels and ensuring timely delivery of materials.
    • Production Planning and Scheduling: After raw materials have been procured, the production process needs to be planned and scheduled. This involves determining the most efficient way to produce each product, setting up production lines or machines, assigning workers to specific tasks, and ensuring that all safety protocols are followed.
    • Quality Control: Throughout the production process, quality control measures need to be in place to ensure that products meet established standards for performance, durability and reliability. This could involve regular inspections of raw materials, in-process checks during production, and final inspection before shipment.
    • Inventory Management: Once products have been produced, they need to be stored until they are ready to be shipped to customers. Inventory management involves tracking inventory levels, managing warehouse operations, and ensuring that stock is not over or understocked.
    • Order Fulfillment: When orders come in from customers, the order fulfillment process needs to ensure that products are picked, packaged and shipped out on time. This involves coordinating with suppliers if additional raw materials are required, assigning workers to specific tasks, and ensuring that all logistics and transportation arrangements are made.
    • Customer Service: After a product has been delivered to the customer, there may be follow-up service or support requirements. This could involve responding to customer inquiries or complaints, providing technical assistance, offering warranties or guarantees, and conducting after-sales surveys to gather feedback on the customer experience.

    Value Streams are the sequences of activities or tasks that a product goes through during its life cycle, from raw material extraction until it reaches the end consumer. Here is an example list of some common value streams in manufacturing companies:

    • Raw Material Extraction and Processing – this stream includes all operations related to extracting and processing raw materials into usable forms for production (e.g mining, refining or milling).
    • Manufacturing Operations- This is the core of any production process where the product is actually made through various stages like machining, welding, painting or assembly.
    • Quality Control and Testing – During this stream, quality control specialists check that all products meet the required standards before they are shipped to customers.
    • Logistics and Distribution- This value stream encompasses all operations related to transportation of finished goods from the factory to distribution centers or retail stores until it reaches the end consumer.
    • Customer Service Support – After sales, this stream includes activities like answering customer inquiries, managing returns or complaints and providing technical assistance.

    A Capability Maturity Model (CMM) is a framework that helps companies to manage their software development processes in a more efficient, effective and compliant way. It allows them to have all the information they need about their capabilities (like people, tools or methods), where it’s happening (in different stages of process improvement) and which steps must be followed to obtain a higher maturity level that helps them to reduce risks, costs or time-to-market.
    CMM usually includes modules like Process & Product Engineering, Organizational Project Management or Quality Assurance that help managers to manage their software development processes in a more integrated way

    Technology Infrastructure:

    The manufacturing company would require an IT infrastructure that supports the various processes involved in production. This could include software for product design and development, enterprise resource planning (ERP) systems for managing supply chain, procurement and inventory, customer relationship management (CRM) tools to manage sales and marketing, and analytics platforms to track performance metrics.

    The technology infrastructure of a manufacturing company would include software applications and hardware systems that support key processes within the organization. Here are some examples of what could be included:

    • Product Design Software: This type of software allows designers to create 3D models, simulate product performance, test different materials or configurations, and collaborate with other team members in real-time.
    • ERP Systems: Enterprise Resource Planning (ERP) systems are used to manage supply chain operations, procurement, inventory management, production planning and scheduling, finance and accounting, and human resources. These systems help streamline processes, reduce errors and improve overall efficiency.
    • CRM Tools: Customer Relationship Management (CRM) tools are used to manage sales and marketing operations. This could include customer data management, lead generation, campaign tracking, customer service support and analytics for measuring performance metrics.
    • Analytics Platforms: Data analysis platforms can be used to track key performance indicators such as production output, inventory turnover rates, customer satisfaction scores or profit margins. These tools help managers make data-driven decisions based on real-time insights into organizational performance.
    • Manufacturing Execution Systems (MES): MES systems are used to manage and track production processes in real-time. This could include tracking work orders, monitoring machine utilization rates, or managing quality control checks during production.
    • Internet of Things (IoT) Devices: IoT devices such as sensors or RFID tags can be used to monitor equipment performance, track inventory levels, or detect potential safety hazards on the factory floor. These devices help improve operational efficiency and reduce downtime due to maintenance or repairs.

    Overall, a manufacturing company would require an IT infrastructure that supports key processes such as product design and development, supply chain management, production planning and scheduling, customer service and after-sales support. This could include software applications for specific functions, hardware systems to manage data storage and processing, and analytics platforms to track performance metrics and drive decision making.

    Assets are resources owned by a company like buildings, machines or vehicles that have value and can be used to generate revenue.

    • Fixed Assets are long-term investments like land, buildings or machinery that cannot be easily converted into cash.
    • Intangible Assets are resources without physical form like patents, trademarks or customer relationships that also have value but are harder to evaluate.
    • Service Assets are resources used by a company to provide services like people, tools or vehicles that help them to generate revenue.
      All these assets must be managed in a more efficient way so they can contribute to the company’s success and create value for shareholders.

    Enterprise Resource Planning (ERP) is an integrated software solution that helps companies to manage their core processes like finance, accounting, sales, customer service or manufacturing in a more efficient and effective way. It allows them to have all the information they need in one place so they can make better decisions faster and reduce errors or delays.

    For a Manufacturing Business, ERP helps managers to know what resources are needed for producing their goods (like raw materials, components or machines), where and when they should be used (in different stages of production) and which steps must be followed to obtain a finished good (like quality control or packaging). Additionally, it allows them to have all the information about sales, customers or suppliers in one place so they can manage their relationships better and make their operations more agile.

    Customer Relationship Management (CRM) is an integrated software solution that helps companies to manage their customer relationships better so they can increase loyalty, satisfaction and retention. It allows them to have all the information they need about customers (like contact data, interactions or preferences), where it’s happening (in different stages of relationship management) and which steps must be followed to obtain a stronger bond with them. Additionally, it helps them to manage their sales or service processes in a more customer-centric way so they can provide better experiences.
    CRM usually includes modules like Sales Force Automation, Customer Service & Support, Marketing Campaign Management or Social Media Monitoring that help managers to plan, execute and control their customer relationships in a more integrated way.

    Analytics Platforms are software solutions that helps companies to analyze their data in a more efficient, effective and predictive way so they can make better decisions faster. It allows them to have all the information they need about their business (like financial results, customer interactions or supply chain performance), where it’s happening (in different stages of operation) and which steps must be followed to obtain insights that help them to improve. Additionally, it helps them to manage their Big Data in a more structured way so they can extract value from it.
    Analytics Platforms usually includes modules like Predictive Analytics, Text Mining or Network Analysis that help managers to analyze their data in a more advanced way.

    Manufacturing Execution System (MES) is a software solution that helps companies to execute or control their manufacturing processes in a more efficient, effective and compliant way. It allows them to have all the information they need about production (like routings, work instructions or BOMs), where it’s happening (in different stages of production) and which steps must be followed to obtain a finished good (like quality control or packaging). Additionally, it helps them to manage their resources better (like machines, tools or workers) so they can reduce downtime or waste.
    MES usually includes modules like Production Scheduling & Control, Shop Floor Data Collection, Quality Management, Maintenance Management or Performance Analysis that help managers to plan, execute and control their manufacturing processes in a more integrated way.

    Internet of Things (IoT) Devices are physical objects that have sensors, actuators or connectivity so they can interact with their environment. For a Manufacturing Business, IoT Devices could be used to monitor machines’ performance, control production processes or track goods in transit. Additionally, it helps them to manage their supply chain more efficiently and reduce costs.
    IoT Devices usually includes modules like RFID Readers, Temperature Sensors or Vibration Actuators that help managers to interact with their environment in a more connected way.

    In a manufacturing company, it’s common to have both in-house production facilities as well as outsourcing certain processes to external vendors or partners.

    • Insourced items could include the actual production machinery and equipment, raw materials or components that are sourced locally or within the country of operation. It is also possible for some companies to have their research and development facilities in-house as well.
    • Outsourced items may consist of subcontracting certain parts of the manufacturing process such as painting, plating or assembly operations to external vendors with expertise in those specific areas. Another example could be outsourcing the disposal or recycling of waste materials generated during production. Additionally, some companies might decide to outsource their customer service support functions like call centers or technical assistance hotlines to third-party providers that have experience and knowledge in these fields.

    Data Management:

    The manufacturing company would generate a large amount of data through its various processes. This data needs to be collected, stored, analyzed and used for decision-making purposes. A robust data management system should be put in place that includes tools for data collection, storage, analysis, visualization and reporting.
    In summary, the business architecture for a manufacturing company would involve an organizational structure with clear roles and responsibilities, well-defined processes to ensure smooth operations, a technology infrastructure to support these processes, and a robust data management system to track performance metrics and drive decision making.

    The data management system of a manufacturing company would involve collecting, storing, analyzing and reporting on key metrics related to organizational performance. Here are some examples of what could be included:

    • Production Metrics: This could include data on production output rates, machine utilization levels, inventory turnover times or quality control scores. These metrics help managers identify areas for improvement in the production process and track progress over time.
    • Financial Metrics: Key financial indicators such as revenue growth, profit margins, cash flow statements or balance sheets would be important to track. This data helps finance teams make informed decisions about budgeting, investments or cost management strategies.
    • Customer Data: Collecting customer data such as purchase history, demographics or feedback scores can help marketing and sales teams identify trends in buying behavior, tailor promotions or improve the overall customer experience.
    • Supply Chain Metrics: Key supply chain metrics could include supplier performance ratings, lead times for raw materials delivery, inventory turnover rates or transportation costs. These data points help procurement teams identify potential cost savings opportunities or optimize sourcing strategies.
    • Employee Data: Collecting employee data such as attendance records, training completion certificates or performance evaluations can help human resources teams track workforce productivity levels, identify skill gaps or implement targeted development programs.

    Overall, a robust data management system would involve collecting and storing key metrics related to organizational performance, analyzing this data using analytics platforms, and reporting on insights gained from these analyses. This information helps managers make informed decisions about resource allocation, investment priorities or process improvement initiatives.

    The Business Architectural Model is a tool used by companies to represent graphically how their business processes will look like when they’re optimized or automated. It usually includes flowcharts, BPMs (Business Process Maps) or swimlanes that help managers to know what steps must be followed, which resources are involved and where bottlenecks or inefficiencies could be found so they can improve their operations.

    The Business Data Model is a tool used by companies to represent graphically how their information is being managed during the different stages of its life cycle. It usually includes ERDs (Entity-Relationship Diagrams), DFDs (Data Flow Diagrams) or data dictionaries that help managers to know what data they have, where it’s stored and which relationships must exist between them so they can use it correctly and consistently.

    The Investment Model is a tool used by companies to forecast their future performance based on historical data and assumptions about different variables that could affect the outcome.

    It usually includes three main statements: Income, Balance Sheet and Cash Flows.

    • The Income Statement shows how much revenue the company will generate during a certain period of time (usually monthly or annually), what are the costs associated with generating that income and therefore what is the Net Income or Profit obtained. This statement allows managers to see if they are operating at a profit or loss and by how much.
    • The Balance Sheet shows the company’s assets, liabilities and equity at a certain point in time. It helps to know the company’s financial position by detailing what resources it has available to operate (like cash, accounts receivable, inventory or fixed assets) and what are its obligations or debts (like loans payables or taxes).
    • The Cash Flow Statement shows how money is flowing in and out of the company during a certain period. It helps managers to know if they have enough cash to cover their expenses, investments or returns to shareholders. This statement can be divided into three sections: Operating Activities (which show how much cash is used or generated by normal business operations), Investing Activities (which detail the acquisition and disposal of long-term assets) and Financing Activities (which show transactions related with owners’ equity or debt).

    By combining all this information, managers can perform different financial ratios and analysis to support their decision making process.

    The Manufacturing Production Model is a tool used by companies to represent graphically how their products are being made during the different stages of their life cycle. It usually includes flowcharts, BOMs (Bill of Materials), routings or work instructions that help managers to know what resources are needed, where and when they should be used and which steps must be followed to obtain a finished good.