Business reporting your team can use
Business Intelligence Consulting and Analytics Services
Elatre connects business questions to clear metrics, governed semantic models and useful dashboards. Replace conflicting spreadsheets and disconnected reports with a reporting system your finance, sales and operations teams can understand, review and use in their regular decisions with confidence.
Start with the decision, then build the dashboard
Elatre provides business intelligence consulting for organizations that need consistent measures and reporting that supports action. The service covers KPI definition, semantic modeling, dashboard development, access controls and the operating process behind trusted business reports.
A leadership team can spend an entire meeting debating why revenue is different in two reports. The problem may be a posting date, an excluded business unit or a join that duplicates an invoice. A new chart does not settle that disagreement. We trace the calculation to its source and make the definition visible to the people using it.
Our starting point is the decision the report must support: which accounts need attention, where margin changed, why stock is unavailable or whether a forecast still reflects the pipeline. We identify the audience, the action they can take and the level of detail they need. That produces a clearer scope than a list of dashboard pages.
Business intelligence sits above the data foundation. It defines what a number means and how users can explore it. If source data is missing or unreliable, we coordinate the required pipeline work. If the report must trigger activity in operational software, our enterprise AI integration services provide a separate, controlled path from insight to action.
Elatre operates through a global network of 5,870+ specialists, including 350+ senior AI developers and solution architects, 520+ growth and marketing engineers and 5,000+ business protocol specialists. Across client engagements, Elatre governs $250M+ in monthly technology, cloud compute and performance media budgets. BI delivery is organized around an agreed project team, reporting scope and ownership model. About Elatre
Give each metric a clear business definition
Elatre builds semantic models that connect approved business definitions to reusable calculations. A metric contract records the source, grain, filters, time basis and accountable owner, so a measure has the same meaning across reports and departments.
Agree what the number means
Document the calculation and the business rules behind it. Revenue might mean booked, invoiced, recognized or collected revenue. Pipeline might include only qualified opportunities or every open record. We resolve these choices with the owners instead of hiding them inside report formulas that nobody else can review.
Model facts and dimensions
Define the level of detail of each fact and the dimensions used to filter it. Orders, invoice lines and monthly targets have different grains. The Power BI star schema guidance explains the role of fact and dimension tables. We use explicit relationships to avoid accidental multiplication of values.
Separate reusable logic from visual layout
Put shared business logic in the appropriate model or semantic layer so every report does not recreate it. dbt semantic models are one option when the estate uses dbt. The implementation depends on the selected platform and how the organization governs metric changes.
Record changes and exceptions
Assign owners for definitions, approvals and known data exceptions. A metric change should identify the affected reports and whether historical results need recalculation. We create a readable dictionary so a business user can understand a measure without needing to inspect SQL or DAX.
Choose reporting tools around the users
Elatre evaluates BI platforms against the reporting audience, existing licenses, data architecture and governance requirements. Tool selection accounts for authoring, distribution, performance and support, including the work needed to maintain the solution after launch.
We can improve an existing platform or implement a new reporting environment. Replacing software is useful when there is a clear capability or operating gap. It is not automatically useful when the underlying issue is inconsistent definitions, an overloaded model or reports with no agreed owner.
Platform licensing and available features are reviewed against the actual tenant and deployment model during scoping. The proposal identifies who needs to author, view, export or embed reports. That avoids a design that works for the development team but cannot be distributed to the intended business audience.
| Platform or approach | Typical fit | Decisions to make before implementation |
|---|---|---|
Microsoft Power BI | Organizations using Microsoft services that need governed models and interactive business reporting. | Workspace roles, model design, refresh mode, report distribution, licensing and data-source access. |
Tableau | Teams that need visual exploration and reporting across several business domains. | Published data sources, calculation ownership, permissions, refresh operations and dashboard navigation. |
Looker | Organizations seeking centrally defined metrics and governed exploration around a modeled data estate. | LookML model ownership, warehouse performance, access rules and release procedures. |
Existing BI platform modernization | A reporting estate with valuable reports but duplicated definitions or poor usability. | Which reports to retain, which models to consolidate and how to move users without breaking established workflows. |
Build dashboards for specific business responsibilities
Elatre designs analytics dashboards around the decisions owned by finance, commercial and operational teams. Each view has an audience, a defined reporting period and a route from the summary number to the underlying evidence.
Executive and finance reporting
Show the agreed revenue, margin, cash and forecast measures with the comparisons leadership actually uses. We make currency treatment, consolidation rules and fiscal periods explicit. A summary view can connect to supporting detail without forcing executives to navigate a large collection of unrelated operational reports.
Sales and customer reporting
Connect account, opportunity and customer records to a consistent view of pipeline and revenue. Stage history, ownership changes and duplicate accounts need deliberate treatment. Where source workflows need repair, CRM automation and integration can address the records and processes feeding the reports.
Operations and service delivery
Build views for capacity, fulfillment, service demand, inventory or project delivery using the measures agreed with operational owners. Exception lists need enough detail to act on. We define refresh expectations and the handoff from a dashboard signal to the person responsible for resolving the issue.
Customer-facing and embedded analytics
Plan reporting inside a portal or application when customers need their own view of the data. Tenant isolation, identity, export behavior and query limits are part of the design. Custom software development can connect the reporting experience to the surrounding product workflow.
Make access and reporting operations explicit
Elatre configures BI access and operating procedures so users see the information appropriate to their role. The implementation considers the entire path from source permissions to model security, report sharing, exports and administrative access.
A report filter is not a security boundary. We define which identities can view a dataset, which records they can access and whether underlying data can be exported. Role testing covers representative users and exceptions, rather than assuming that a report shared successfully is shared safely.
For Power BI, row-level security filters data for the appropriate viewer roles; workspace administrators, members and contributors have different privileges. We review workspace membership alongside model rules and test access using the intended distribution route. Other platforms require their own equivalent permission review.
Operations include refresh ownership, failure notifications, deployment approvals and a change log for material metric updates. A stale report should show that it is stale. Users should also know whether a number is provisional, reconciled or subject to a known source exception. These labels help teams make informed decisions without hiding data limitations inside technical logs.
For broader ownership and security decisions, data governance and readiness consulting can align business definitions with the organization’s data policies. We also plan for accessibility, readable labels, useful default filters and different screen sizes, so reports are practical for the people expected to use them.
How the reporting project is delivered
Elatre structures business intelligence delivery around a defined business question, a tested model and user acceptance. The sequence makes data disputes visible early and gives business owners a practical opportunity to review the reporting experience.
1. Inventory reports and interview owners
Review the reports, spreadsheets and meetings that currently drive decisions. Identify duplicated measures, manual adjustments and reporting obligations. The first release is chosen around a useful business outcome, with named owners for the source data, calculation rules and final sign-off.
2. Build and reconcile the model
Connect the agreed data, define relationships and implement the measures. Compare outputs with approved source records and explain differences. We test filters, totals and time comparisons before polishing visual design, because an attractive dashboard does not compensate for a calculation that changes unexpectedly.
3. Review the dashboard in context
Walk through the report using real decision scenarios with its intended users. Confirm that labels, comparisons and drill paths answer the agreed questions. Feedback is recorded against scope, separating defects from additional reporting needs so the release remains manageable.
4. Release, train and hand over
Publish to the agreed workspaces or application, verify permissions and document refresh operations. Training covers how to interpret measures and how to report an issue. Handover includes the model, report assets, metric dictionary, deployment instructions and the remaining development backlog.
Agree what successful reporting looks like
Elatre defines BI acceptance criteria with the people responsible for the numbers and the decisions. The criteria cover correctness, usability, permissions and operations, giving procurement and delivery teams a concrete basis for reviewing completion.
Performance expectations are agreed for the actual model, dataset and distribution method. We record how the report is used and test representative filters and queries. A target for a small demonstration dataset is not substituted for the workload the business will run.
Adoption is also a process decision. We identify the meetings, reviews and operational workflows in which the new reporting will be used. Reports with no clear owner or recurring decision can be placed in a backlog rather than added to an already crowded dashboard collection.
| Area | What we test | Evidence for sign-off |
|---|---|---|
Metric correctness | Calculations, joins, filters, fiscal periods and reconciliation to approved source records. | Documented definitions and an agreed reconciliation record, including explained exceptions. |
Decision usability | Whether intended users can find the answer, inspect the supporting detail and identify the next action. | User review against agreed reporting scenarios and a resolved issue list. |
Access control | Viewer roles, record restrictions, sharing routes and export behavior. | Permission tests using representative identities and documented administrative responsibilities. |
Refresh and support | Data arrival, model refresh, failure notifications and ownership of changes. | Operating instructions, monitoring arrangements and an agreed support handover. |
Scope the work without rebuilding every report
Elatre scopes BI consulting around the reporting decisions that need attention first. The engagement can begin with an assessment, a semantic model, a dashboard release or modernization of an existing reporting estate, depending on the problem.
Bring examples of the reports that disagree, the business questions they should answer and the systems behind them. We also need to understand existing licenses, user groups, refresh expectations and who can approve metric definitions. Sample records and current calculations help make the discussion specific.
The proposal separates data preparation, modeling, report development, access configuration, training and support. If source integration is incomplete, the required engineering work is identified rather than hidden inside a dashboard estimate. License and platform usage costs are listed separately from implementation services.
Elatre supports organizations across the United States, United Kingdom, Canada, Switzerland, Germany and France. We can account for fiscal calendars, regional currencies, reporting languages and local user access within the agreed design. A global report should preserve those distinctions without turning every region into an unrelated spreadsheet.
For AI-assisted analytics, we establish approved measures and access rules before adding a conversational interface. An assistant needs the same definitions and permissions as other reporting consumers. It should not create an alternative version of revenue simply because a user phrased a question differently.
Business intelligence consulting questions
Elatre answers BI procurement questions by separating business definitions, data preparation, reporting software and ongoing support. This helps teams compare the work included in an implementation instead of comparing dashboard screenshots alone.
Elatre BI consulting covers reporting requirements, KPI definitions, semantic models, dashboards, access controls, testing and handover. The engagement can improve an existing estate or build a new reporting environment. Data engineering and application changes are scoped separately when required. The proposal makes each workstream and its acceptance criteria explicit.
Data engineering makes data available and dependable through ingestion, storage, transformation and operations. Business intelligence defines how that data is measured, explored and used in decisions. The workstreams are connected, but a pipeline repair and a metric-definition project are different tasks. Elatre identifies which layer is responsible for the problem before recommending a scope.
Yes. We can review the models, calculations, refresh behavior, permissions and usability of an existing reporting estate. The plan identifies useful reports to retain and duplicated logic to consolidate. It also documents any migration or retraining work. A platform replacement is considered only where it addresses a defined requirement.
They can share approved definitions where the underlying business meaning is the same. Some measures must remain distinct, such as booked revenue and recognized revenue. Elatre documents those differences and the relationships between them. The goal is consistent interpretation, not forcing different business concepts into a single number.
We map users and groups to the required dataset, row and sharing permissions, then test representative access paths. Model security, workspace roles, exports and embedded access are reviewed together. The exact controls depend on the BI platform and deployment model. Administrative responsibilities and access-change procedures are included in the handover.
The main drivers are data readiness, metric complexity, source access, reporting audiences, security requirements and the scope of migration or training. Elatre reviews these before proposing milestones and pricing. We can begin with a defined assessment or release rather than committing the entire reporting estate at once. Platform licenses and ongoing support are identified separately.
Related services
Elatre connects business intelligence consulting with the related engineering and business services below. Each engagement can define the interfaces and responsibilities between workstreams.
Enterprise AI Integration
Connect reporting data to applications and approved AI workflows.
Data Governance and Readiness
Define ownership, access and the rules behind trusted information.
CRM Automation and Integration
Improve the customer and revenue records feeding your reporting.
Custom Software Development
Build applications and portals around the reporting experience.