SmartCodeIT service
Reports, dashboards, and data analysis
We build sales dashboards, management dashboards, PDF, Excel, and e‑mail reports, integrate data from company systems, and help measure KPIs without manually assembling reports.
We design reports, custom dashboards for companies, and BI systems that combine data from CRM, sales, invoices, e‑commerce, marketing, operations, payments, documents, spreadsheets, and enterprise systems into a single clear view. We help companies monitor performance, detect issues earlier, reduce manual reporting, and make decisions based on structured data.
KPI dashboard for managementPDF, Excel, and e‑mail reportsIntegration of CRM, store, invoicing, and marketingAutomatic data refreshBusiness alertsPower BI, Looker Studio, Excel, API
Data in a single viewHover over or select a diagram element
Data sources
SmartCodeIT Analytics & BI
Reports and dashboards
SourcesETLData modelKPIsDashboardAlertDecision
Data sourcesCRM
Data source or triggering event. CRM can trigger the process or supply SmartCodeIT Analytics & BI with data that subsequently feeds statuses, automation and reporting.
One place to monitor results—instead of manually assembling data from multiple systems.
Quick answer
Reports, dashboards, and data analysis: when does it make sense and where should you start?
At SmartCodeIT, this means designing a practical operating system around the company's process: data, statuses, integrations, automation, reporting and exception control. We define scope after reviewing the process, tools, data quality, risks and the expected outcome of the first stage.
Important: automation supports the process and team decisions, but it does not replace strategy, data quality, business accountability or human control in high-risk matters.
Quick selection
Not sure where to start?
Choose the closest business problem. This helps identify an audit, MVP or broader implementation.
My reports are prepared manually
We review data sources, KPI definitions, and the places where reporting consumes time.
I want my first KPI dashboard
We build a clear dashboard from 1–2 data sources with basic metrics.
I want to combine data from several systems
We design data integration, ETL, a data model, and reports based on consistent definitions.
Service overview
Dashboards that show decisions, not just charts
Reports, business dashboards, and data analysis help the company see what is happening in sales, marketing, finance, operations, customer service, and internal processes without manually copying data between systems.
A sales dashboard can show leads, inquiry sources, pipeline value, won and lost deals, sales rep activity, and conversion. Management reports typically combine sales, costs, invoices, payments, and operational KPIs in a single view for the owner or manager.
We do not build dashboards as random charts. We first define business questions, data sources, KPI definitions, data owners, refresh frequency, and how reports will be used in daily work.
- how many leads reach the company
- where inquiries are coming from
- what the sales effectiveness is
- which campaigns perform best
- which invoices are overdue
- which processes are delayed
- which KPIs require manager attention
When it makes sense
When does a company need dashboards and BI?
The best implementations start with a visible problem: manual work, scattered data, lack of statuses or lack of clear responsibility.
Manually created reports
Every week a manager or employee copies data from several systems into Excel.
Data in many systems
Sales, invoices, marketing, warehouse and CRM show different pieces of reality.
No single KPI view
The owner or management has no quick view of the company’s key indicators.
Delayed decisions
Problems are visible only later, once a manual report has been prepared.
Unclear data sources
The team does not know where the numbers come from or why they differ across reports.
Excel as the main report
Spreadsheets are complex, error-prone and dependent on a single person.
No alerts
No one receives automatic information that a KPI dropped or a process is delayed.
Marketing without clear ROI
Campaigns generate data, but it is hard to connect it with sales and revenue.
Lack of operational control
It is unclear which orders, tasks, tickets or payments require action.
Who it is for
Who do we design reports and dashboards for?
Owners and management
A single view of sales, revenue, costs, profitability, payments, leads and overall company health.
Weekly KPIs, cash flow, margin, alertsSales departments
Leads, sales pipeline, quotes, follow-ups, conversion and sales rep performance.
pipeline value, wins, losses, activityMarketing and campaigns
Data from ads, forms, website, CRM and sales in a single report.
lead cost, channels, conversions, marketing ROIE-commerce and retail
Orders, products, margin, carts, payments, returns and warehouse.
daily sales, products, cart, marginSupplementary finance
Invoices, payments, receivables, liabilities, delays and documents in a single report.
overdue invoices, costs, KSeF, paymentsOperations
Tasks, statuses, lead times, delays, errors and process efficiency.
bottlenecks, order statuses, handling timeCustomer service
Tickets, response time, escalations, complaints and service quality.
SLA, case categories, escalationsSpreadsheet-based companies
Multiple Excel or Google Sheets files can be replaced with more stable reporting.
automatic refresh, version control, less manual workApplications
What can we implement in reporting and BI?
We design reporting around decisions. Each dashboard should have data sources, KPI definitions, owners and usage guidelines.
Executive KPI dashboard
A single view of the company’s most important results.
CRMInvoicesPaymentsMarketingKPIsDashboard
Faster access to information for management.Sales report
Leads, quotes, wins, losses and conversions in a single report.
LeadsCRMProposalsConversionsReport
Better control of the sales pipeline.Marketing dashboard
Campaigns, forms, website, CRM and sales combined into one view.
CampaignsFormsCRMSalesROI
Better assessment of marketing channels.E-commerce report
Orders, payments, products, returns and margin in a dashboard.
StoreOrdersPaymentsProductsMargin
Better control of sales and assortment.Financial report
Invoices, due dates, receivables, liabilities and overdue alerts.
InvoicesPaymentsDeadlinesAlertsReport
Faster payment control.Operational dashboard
Tasks, statuses, lead times, delays and bottlenecks.
TasksStatusesTimesDelaysReport
Better process visibility.Customer service report
Tickets, categories, response time, escalations, and statuses.
RequestsCategoriesSLAEscalationsDashboard
Better quality control in service.PDF / Excel / e-mail report
A recurring report is generated and sent automatically.
DataPDF reportE-mailArchive
Less manual report preparation.Business alerts
The system notifies you when a KPI drops, an invoice is overdue, or a process is delayed.
KPIsThresholdAlertPersonResponse
Faster issue detection.Data model and ETL
Data is fetched, cleaned, transformed, and prepared for reporting.
SourcesETLValidationModelDashboard
Reports based on consistent definitions.Embedded BI
Reports available in the application, client portal, or company panel.
ApplicationDataRolesDashboardUser view
Reports where the user works.AI report summaries
AI can prepare draft comments, variances, and findings for verification.
KPIsReportAIFindingsE-mail
Faster understanding of changes and trends.Interactive selection
Explore an implementation scenario
Select a card to review the workflow, participating systems, input data, risks and recommended package.
Scenario
Executive KPI dashboard
SourcesModelKPIsDashboardAlert
Options
Dashboard, report or full BI system?
Solution selection depends on company scale, number of data sources, data quality, and how reports are used.
Simple dashboard
Dashboard from one or two data sources, e.g. CRM, spreadsheet, store or invoices.
- quick start
- basic KPIs
- simple sources
- lower budget
Recurring reports
Automated PDF, Excel or e-mail reports sent regularly to a manager or the board.
- regular cadence
- archive
- no dashboard login
- weekly or monthly report
BI system
A set of dashboards, data model, roles, permissions, alerts, and KPI documentation.
- multiple departments
- multiple sources
- different views
- business‑critical reporting
Data warehouse
Central place for collecting and processing data for reporting, analysis and AI.
- dispersed data
- KPI consistency
- data history
- BI and AI development
| Solution type | Implementation time | Starting cost | Number of sources | Flexibility | Maintenance | Best for |
|---|---|---|---|---|---|---|
| Simple dashboard | 1-2 weeks | lower | 1-2 | medium | low | first KPI view |
| Recurring reports | 2-3 weeks | low/medium | 1-3 | medium | low | e-mail reports |
| BI system | 8-12 weeks | higher | many | high | ongoing | multiple departments |
| Data warehouse | from 10 weeks | higher | many | high | ongoing | BI, AI and data history development |
Architecture
Business questions first, then data, model and dashboard
We design reporting around the decisions it should support. We define business questions, KPIs, data sources, refresh cycles and user roles.
- business questions
- KPI definitions
- data sources
- data owners
- data quality
- field mapping
- API integrations
- CSV/XLSX imports
- ETL
- data validation
- data model
- permissions
- filters and views
- alerts
- KPI documentation
Potential sources and tools
Data sources
CRMStoreInvoicesPaymentsMarketingSpreadsheetsHelpdeskDatabase
Integration and ETL
APIWebhooksCSV/XLSXSchedulesTransformationsCleansingValidation
Data model
TablesRelationshipsKPI definitionsMeasuresAggregationsSegmentsCalendar
Reporting
DashboardPDF reportExcel reportE‑mail reportAlertsEmbedded BI
Decisions
ManagementSalesMarketingFinanceOperationsCustomer service
Control
A dashboard is only as good as the data behind it
The biggest risk in reporting is data quality. That is why a BI implementation should include KPI definitions, roles, validation, and documentation.
KPI definitionsData sourcesValidationDeduplicationRolesPermissionsError alertsMeasure documentationChange historyData refresh
Packages and pricing
Packages of reports, dashboards, and BI
The packages show typical reporting scopes: from an audit, through the first dashboard, to ETL, a BI system, and embedded BI.
Reporting and KPI audit
from $500 netFor companies that have data and reports, but do not know which KPIs to measure, how to organize data sources, or where to start with BI.
- analytical discussion
- analysis of existing reports
- data source analysis
- identification of manual reporting
- initial KPI list
- BI tool recommendation
- data map
- implementation priorities
- estimated budget
Dashboard Start
from $1,553 netFor companies that want to quickly implement a simple dashboard from one or two data sources.
- single-area analysis
- selection of basic KPIs
- connection of 1–2 data sources
- simple dashboard
- filters and basic views
- manual or semi-automatic refresh
- user guide
- 14 days of support
Automatic PDF / Excel / e-mail reports
from $2,342 netFor companies that regularly prepare reports manually and want to automate their generation and distribution.
- cyclical report analysis
- report template
- source connection
- PDF / Excel generation
- delivery schedule
- data validation
- report archive
- 14 days of support
Sales and marketing dashboard
from $3,921 netFor companies that want to combine data from CRM, forms, ads, campaigns, the website, and sales.
- sales and marketing analysis
- KPI definitions
- CRM or spreadsheet integration
- data from forms or campaigns
- lead dashboard
- sales funnel
- lead sources
- conversions
- basic alerts
Executive KPI dashboard
from $6,553 netFor owners, executives, and managers who need a single view of sales, marketing, finance, operations, and customer service.
- KPI workshop
- dashboard structure design
- multiple data sources
- data model
- management dashboard
- role-based views
- filters
- business alerts
- KPI documentation
Data integration and ETL
from $9,184 netFor companies that have data in many systems and need a stable data model, transformations, refresh processes, and quality control.
- data source analysis
- data model design
- API integrations
- CSV/XLSX imports
- ETL / ELT
- data validation
- refresh schedule
- error handling
- data flow documentation
BI system / data warehouse
from $15,763 netFor companies that need multiple data sources, roles, permissions, data history, and a stable foundation for analytics and AI.
- BI architecture
- central data model
- database / data warehouse
- multiple integrations
- ETL
- KPI definitions
- roles and permissions
- department dashboards
- maintenance plan
Embedded BI and in-app dashboard
from $18,395 netFor companies that want to display reports directly in a web application, customer portal, employee panel or internal system.
- report view design
- data model
- application integration
- roles and permissions
- user dashboards
- customer reports
- access security
- testing
- production deployment
AI-generated report summaries and alerts
from $5,237 netFor companies that want the system to prepare short summaries, detect anomalies, and suggest topics for analysis.
- report and KPI analysis
- selection of AI scenarios
- summary generation
- text alerts
- anomaly detection
- email report with commentary
- dashboard integration
- human oversight
- quality testing
Ongoing BI support and development
from $316 net per monthFor companies that already have working reports and want to control data refresh, develop KPIs, and maintain integrations.
Basic: from $316Business: from $763Pro: from $1,553
- report monitoring
- data refresh control
- dashboard fixes
- adding KPIs
- data source development
- error handling
- integration updates
- data quality report
- user support
Net prices. Final pricing depends on the number of data sources, data quality, number of KPIs, dashboards, integrations, ETL, refresh, alerts, permissions, and maintenance scope. Costs of Power BI, Looker Studio Pro, Microsoft Fabric, connectors, hosting, and external tools may be billed separately.
| Package | Starting price | Time | Sources | KPIs | Dashboard | PDF/email report | ETL | Alerts | AI | Support | Who it is for |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Audit | $500 | 3-7 days | analysis | recommendations | no | no | analysis | recommendations | recommendations | plan | companies before making a decision |
| Dashboard Start | $1,553 | 1-2 weeks | 1-2 | basic | yes | optional | simple | no | no | 14 days | first dashboard |
| Automated reports | $2,342 | 2-3 weeks | 1-3 | selected | optional | yes | simple | optional | no | 14 days | recurring reports |
| Sales and marketing | $3,921 | 2–5 weeks | CRM/kampanie | sales and marketing | yes | optional | basic | basic | optional | 30 days | leads and campaigns |
| Management KPIs | $6,553 | 4-8 weeks | several | management | yes | yes | yes | yes | optional | 45 days | managers |
| ETL | $9,184 | 6-10 weeks | many | structured | yes | optional | yes | technical and business | optional | 45 days | data in multiple systems |
| BI system | $15,763 | 8-12 weeks | many | documentation | many | yes | advanced | yes | optional | individual | larger companies |
| Embedded BI | $18,395 | from 10 weeks | application + systems | roles | in the application | optional | yes | optional | optional | individual | portals and applications |
| AI summaries | $5,237 | 3–6 weeks | existing reports | selected | integration | yes | depending on | yes | yes | 30 days | managers |
| BI support | $316/month | ongoing | development | development | development | development | maintenance | monitoring | development | ongoing | working reports |
Budget
Complexity and cost chart
The chart is indicative. Final pricing depends on the process, date, integrations, automation, technical requirements and maintenance scope.
Audit1
Dashboard Start2
Reports3
Sales and marketing4
Management5
ETL6
BI system7
Embedded BI8
Estimation
What determines the cost of a dashboard or BI system?
Scope advisor
What type of reporting does your company need?
Choose indicative answers. The result is a starting point for discussion, not an automated quotation.
Initial recommendationDashboard Start
Send your answers and receive a BI recommendationProcess
What does implementation look like?
1
Reporting objective
We define which decisions the dashboard should support and which areas require visibility.
2
Business questions
We gather questions about leads, campaigns, overdue invoices, delays, or costs.
3
KPI definitions
We define how to calculate key metrics so the team understands them consistently.
4
Data sources
We review the CRM, store, invoices, spreadsheets, campaigns, systems, APIs, and data quality.
5
Data model
We design the data model, relationships, measures, filters, roles, and refresh schedule.
6
ETL
We connect data, clean it, transform it, validate it, and prepare it for reporting.
7
Dashboard
We build views, charts, tables, filters, alerts, and recurring reports.
8
Validation
We compare results with source data, verify KPIs, and correct data issues.
9
Development
We launch the dashboard, train users, and enhance reports based on usage.
Project outcome
What do you receive after implementation?
data source mapKPI listmeasure definitionsdata modeldashboard or set of dashboardsPDF / Excel / e-mail reportsintegrationsautomatic refreshbusiness alertsrole-based filters and viewsKPI documentationuser guideuser trainingdevelopment recommendationssupport period
Outcomes
What can a company gain after implementing dashboards and BI?
Reporting can reduce manual data compilation and provide faster access to KPIs, if data sources and definitions are structured.
Report preparation time
less manual data copying
Manual exports
fewer files compiled every week
Data freshness
refreshing according to an agreed schedule
KPIs in a single view
manager sees the most important numbers faster
- less manual report assembly
- faster access to KPIs
- better sales control
- better marketing evaluation
- visibility of invoices and payments
- faster issue detection
- less work in Excel
- more consistent metric definitions
- alerts when thresholds are exceeded
- foundation for AI and automation
Before: 180 minutesAfter: 15 minutes
Before: 60 minutesAfter: 5 minutes
Before: 30 minutesAfter: 2 minutes
Before: 120 minutesAfter: 10 minutes
Charts are for illustration only. Actual results depend on data sources, data quality, implementation scope, and how the team works.
Monitoring
A dashboard should support decision-making
We evaluate reporting by whether it shortens time-to-information, improves decision quality, and reduces manual reporting.
- report preparation time
- automatically refreshed sources
- number of manual exports
- data errors
- dashboard users
- usage frequency
- defined KPIs
- time from event to report
- business alerts
- recurring reports
- decisions based on the dashboard
- questions answered without additional analysis
DashboardAnalytics BI
month
new
lead -> proposal
on average
estimate
time to response
store
month
median
active
Scenarios
Example implementation scenarios
Service company
The manager did not see how many leads turned into quotes and revenue.
CRMProposalsInvoicesDashboard
Better visibility of the sales funnel and results.Marketing
The company saw campaign costs but did not know which sources brought in customers.
CampaignsLeadsCRMSales
Better assessment of channels and customer acquisition cost.E-commerce
Sales, product, and returns data were scattered.
StoreProductsPaymentsReturns
Faster assortment control and store performance review.Finance
Overdue payments and invoices were monitored manually.
InvoicesPaymentsDelaysAlerts
Better liquidity control and less manual checking.Operations
The company did not see where processes were getting blocked.
TasksStatusesTimeDelays
Faster detection of bottlenecks.Decision
Is it worth implementing a dashboard now?
A dashboard makes sense when the company has recurring reports, known data sources, and clearly defined KPIs. If the data is chaotic or no one knows what decisions should be based on the report, it is better to first organize the process, metric definitions, and data sources.
When a dashboard makes sense
- reports repeat regularly
- data sources are known and accessible
- KPIs can be clearly defined
- managers need a constant view of results
- manual reporting takes too much time
- the impact of the implementation can be measured
When to organize data first
- KPIs are not clearly defined yet
- data is scattered, incomplete, or chaotic
- it is unclear which data source is reliable
- the decision-making process is not defined
- the team does not know who will use the dashboard
- the existing report in the current system is sufficient at this stage
Ecosystem
Most common tools and integrations
Power BILooker StudioExcelGoogle SheetsMetabaseSupersetPostgreSQLBigQueryMicrosoft FabricCRME-commerceInvoicesKSeFPaymentsMarketingGoogle AnalyticsAdsHelpdeskWarehouseAPIWebhooksPDF reportse-mail reportsAI summariesHubSpotPipedriveWooCommerceShopifyGoogle AdsMeta AdsMaken8nZapier
SmartCodeIT Analytics Layer
CRMStoreInvoicesPaymentsMarketingSpreadsheetsAPIDashboardsPDF reportsAlertsAITechnology
We match BI to your data, budget, and ways of working
Not every company needs an advanced data warehouse. The choice of technology depends on data sources, data quality, refresh needs, users, and how reports will be used.
| Option | Best for | Complexity | Cost | Flexibility | When to choose |
|---|---|---|---|---|---|
| Excel / Sheets | getting started and small-scale reporting | low | low | medium | when the data is simple |
| Looker Studio | marketing and simple dashboards | low/medium | low | medium | when speed matters |
| Power BI | company-wide BI | medium | medium | high | when roles and a data model are required |
| Metabase / Superset | dashboards on top of databases | medium | medium | high | when the company has its own database |
| Dedicated dashboard | applications and processes | high | higher | high | when the report is part of a system |
| Data warehouse | multiple sources and history | high | higher | high | when data is strategic |
| Embedded BI | customer portal or panel | high | higher | high | when the report must work inside an application |
| AI summaries | comments on KPIs | medium | medium | medium | when a manager needs a quick description of changes |
Why SmartCodeIT
Reporting implemented as a process, not ad hoc
We do not build dashboards just to display charts. We design reporting so that managers and teams can see results faster, respond to issues, and reduce manual reporting.
- we start from business questions
- we define KPIs
- we organize data sources
- we design the data model
- we integrate systems
- we automate refreshing
- we add PDF, Excel, and e-mail reports
- we can implement business alerts
- we document metrics
- we train users and expand reports in stages
Business questions
First, we define which decisions the report should support.
Data
We connect sources and structure the information.
KPIs
We define indicators so that the team understands them consistently.
Automation
Reports can refresh and be sent on a scheduled basis.
Alerts
The system can notify you when a result requires action.
Development
The dashboard can be extended with additional sources, AI, and integrations.
Related paths
What is usually connected with this service?
FAQ
Frequently asked questions
How much does a BI dashboard or report cost?
The simplest dashboard starts from PLN 5,900 net. Automated PDF, Excel, or e-mail reports start from PLN 8,900 net. A sales and marketing dashboard starts from PLN 14,900 net. A management KPI dashboard starts from PLN 24,900 net. Data integration and ETL start from PLN 34,900 net, and a BI system or data warehouse from PLN 59,900 net. A reporting audit starts from PLN 1,900 net.
How long does dashboard implementation take?
A simple dashboard can be implemented in 1–2 weeks. A sales or marketing dashboard usually requires 2–5 weeks. A management dashboard with several data sources may require 4–8 weeks. A BI system with ETL, roles, and multiple data sources may require 8–12 weeks or more.
Will Power BI, Looker Studio, or Excel be a better fit?
It depends on data sources, number of users, budget, permissions, refresh frequency, and reporting needs. Excel or Google Sheets may be sufficient at the beginning. Looker Studio works well for simpler dashboards and marketing data. Power BI is often a good choice for more advanced BI, roles, data models, and company-wide reporting.
Can we combine data from the CRM, online store, and invoices?
Yes. We can combine data from the CRM, online store, invoices, payments, marketing, spreadsheets, accounting system, KSeF, helpdesk, and other systems, as long as they have an API, data export, or another stable integration method.
Can reports be sent automatically by e-mail?
Yes. We can implement automated PDF, Excel, or e-mail reports sent daily, weekly, or monthly. The report can include KPIs, charts, tables, alerts, and a summary.
Can the dashboard refresh automatically?
Yes. The refresh frequency depends on data sources, APIs, the BI tool, and business requirements. In some cases, daily refresh is enough; in others, several refreshes per day or near real-time refresh may be needed.
Can we add business alerts?
Yes. Alerts can notify you about KPI drops, overdue invoices, missing follow-ups, low sales, exceeded handling times, operational issues, or data errors.
Can the dashboard have different views for different people?
Yes. We can design roles and views for the management board, managers, sales, marketing, finance, or operations. The scope depends on the BI tool and the user authorization method.
Can the dashboard be embedded in a web application?
Yes. The dashboard can be embedded in a web application, customer portal, employee panel, or internal system. Such an implementation requires additional analysis of permissions, security, and license costs.
Can AI summarize reports?
Yes. AI can prepare draft KPI summaries, highlight deviations, and generate commentary for the report. AI conclusions should be treated as analytical support, not as an automatic business decision without human verification.
Do we need to have clean data before implementation?
The better the data quality, the better the dashboard. If data is inconsistent, you can start with an audit, data cleaning, KPI definitions, and a simple data model. For larger implementations, it is worth designing ETL or a data warehouse.
What should be prepared before implementing BI?
It is best to prepare a list of manually created reports, data sources, sample files, KPI definitions, a list of users, expected views, refresh frequency, and information on which decisions the report should support.
Contact
Describe which reports you want to stop creating manually.
Based on a few sentences, we will prepare a recommendation: reporting audit, simple dashboard, automated PDF / Excel / e-mail report, sales dashboard, management dashboard, data integration, BI system, or AI-generated report summaries.
kontakt@smartcodeit.pl · 882 121 238 · Gliwice / online
Dashboards and reports support business decisions but do not replace the manager’s analysis or responsibility for decisions. Report quality depends on data quality, KPI definitions, and the way the system is used.
Questions from the search engine
Frequently asked questions from the search engine
Short answers lead to guides that develop the topic and help prepare the first stage of implementation.
Guide SmartCodeIT
How to build a sales dashboard?
First, we define the KPIs, data sources, status owners and decisions that the report should support.
Read replyGuide SmartCodeITWhat is the difference between a management dashboard and a report?
The dashboard is designed to continuously show result, trend, risk and alerts, not just a historical summary.
Read replyGuide SmartCodeITWhen is a dedicated dashboard needed?
When the data is in multiple systems and the ready report does not show the definition of KPIs, roles, alerts and the full process.
Read replyContact
Describe the process you want to improve.
A few concrete sentences are enough for us to suggest an audit, automation, an AI agent, a web application or a systems integration.
A reply with a recommended next stepThe option to begin with an audit or a focused MVPA solution designed for security and maintainability
Prefer a structured form? Book a free consultationkontakt@smartcodeit.pl882 121 238ul. Częstochowska 12/2, Gliwice