Support with the design, review or correction of data architecture, data warehouses, datamarts, analytical layers and BI solution concepts.
Insightee helps companies build stronger data foundations so reporting, analytics and decision-making are not limited by weak models, unclear data flows or ad hoc architecture.
Reporting, analytics and AI ambitions often fail not because of the final dashboard, model or tool, but because the underlying data foundation is unclear, fragile or poorly aligned with business needs.
Source systems may be connected directly to reports. Transformations may grow ad hoc. Business logic may be hidden in spreadsheets or dashboards. History may be difficult to interpret. Data models may work for the first report, but become hard to maintain, extend or trust.
Data Architecture & Solution Design helps clarify how data should flow, where business logic belongs, what role the DWH or datamart should play and how the analytical layer should support reporting, analytics and decisions.
This service is useful when:
a BI or data project needs a sound architecture before implementation,
existing reporting is growing on weak or ad hoc foundations,
the company needs a data warehouse, datamart or analytical layer,
direct reporting from source systems is becoming fragile or hard to govern,
historical changes, dimensions or master data make reporting difficult to trust,
a supplier proposes a technical solution and the company needs an independent review,
multiple systems, entities or business areas need to be connected consistently,
analytics, prediction or AI ambitions require stronger data foundations,
the company needs to decide what should be built centrally and what can remain local.
Clarifying the role of source systems, integrations, data warehouse, datamarts, analytical layers and BI tools.
Typical questions:
What should be handled in source systems, DWH, datamarts and BI layer?
Where should business logic live?
What should be centralised and what can remain local?
How should the architecture support future reporting and analytics?
Designing or reviewing the structure of the data warehouse and datamarts so they support reporting, analytics and long-term development.
Typical questions:
What data should be integrated?
What level of history is needed?
Which business areas should have dedicated datamarts?
How should data be prepared for Power BI or another reporting layer?
Clarifying how facts, dimensions, metrics and calculations should be structured so reporting is reliable, understandable and extendable.
Typical questions:
Are facts and dimensions modelled clearly?
Are metrics defined in the right layer?
Is the model understandable to both BI developers and business users?
Will the model support future analytical questions?
Helping the company handle changes in cost centres, products, customers, companies, contracts, accounts, organisational structures or other dimensions.
Typical questions:
How should historical changes be represented?
When should history be restated and when should discontinuity be explained?
How can trends remain meaningful after structural changes?
Which mappings or business rules must be explicit?
Providing an independent senior review of a proposed architecture, data model, solution concept or delivery approach.
Typical questions:
Does the proposed solution match the business need?
Is it sustainable beyond the first delivery?
Are risks visible before implementation goes too far?
Is the supplier solving the right problem in the right layer?
The right starting point depends on the situation. Some companies need only a senior review of one proposal. Others need a structured design phase before implementation.
A short initial discussion is free. It is used to understand the situation at a high level, decide whether there is a fit and choose the right next step. It is not a substitute for deeper architecture or design work.
Entry path:
| Step | Best for | Fee |
|---|---|---|
| Initial discussion | orientation and fit | free |
| Architecture consultation | senior outside view on one architecture, DWH, BI model or proposal question | CZK 7,000 / hour |
| Architecture & Solution Design starter package | structured review or initial design of one selected area | CZK 70,000 / 12 hours / 3 sessions |
| Architecture or solution design engagement | broader design, review or correction work | scoped individually |
The starter package is useful when the company wants to clarify one selected area before committing to a broader design or implementation direction.
The Architecture & Solution Design starter package should focus on one selected topic. The goal is not to design the entire data architecture in three sessions.
Possible focus areas:
review of one supplier architecture proposal,
initial design of one datamart or analytical layer,
review of one BI data model,
clarification of where business logic should live,
handling history or dimension changes for one reporting area,
decision whether a DWH, datamart or direct BI approach is appropriate,
first architecture direction for a planned BI or analytics initiative.
Typical result:
clearer framing of the architecture or design issue,
independent senior view on risks and options,
recommendation for the next architecture direction,
questions to clarify with business, IT or supplier,
practical proposal for broader design, BI & Data Assurance or implementation support.
Data Architecture & Solution Design helps the company avoid foundations that are easy to start but difficult to trust, maintain or extend.
Typical benefits:
clearer role of source systems, DWH, datamarts and BI layer,
stronger foundation for reliable reporting and analytics,
better placement of business logic and metric definitions,
lower risk of fragile ad hoc reporting structures,
better handling of history, dimensions and structural changes,
more useful inputs for suppliers and internal teams,
better readiness for BI & Data Assurance, analytics, prediction or AI,
lower risk of building a solution that works technically but does not support business decisions well.
Data & BI Advisory helps clarify the situation and decide what to do next.
Data Architecture & Solution Design goes deeper into how the data foundation or solution concept should be structured.
BI & Data Assurance helps make sure a chosen BI or data direction is delivered in a usable, trusted and sustainable way.
Data Architecture & Solution Design focuses on designing or reviewing the architecture, data model or solution concept itself.
The two services can work together: architecture defines or corrects the foundation; assurance helps protect its direction during delivery.
This service is not automatically full implementation.
It may lead to implementation support or selected delivery work, but the core value is senior design judgement: choosing the right structure before the company invests too much into the wrong foundation.
Architecture and solution design work is scoped individually depending on:
number of systems and data sources,
number of business areas involved,
complexity of history and transformations,
required level of detail,
expected outputs,
involvement of suppliers or internal teams,
whether the work is a review, initial design or broader solution design phase.
For larger work, it is usually better to start with a smaller review or design package and then agree the broader scope based on what is discovered.
Send a short description of the architecture, DWH, datamart, BI model or reporting foundation you are dealing with. We will first have a short initial discussion and then decide whether the right next step is a consultation, starter package or broader design engagement.
Strong data foundations make BI, analytics and decision-making easier to trust, maintain and improve over time.
