Data Analytics & Business Intelligence
Know what is happening in your business before it becomes a problem.
BizPromptly helps businesses turn scattered data into useful management information, clearer KPIs, practical dashboards and insights that support better commercial and operational decisions.
The real issue
Having data is not the same as understanding the business
Most businesses already have plenty of data: CRM records, sales history, spreadsheets, website analytics, marketing reports, finance information, operational systems. What they often cannot do is answer a straightforward question with confidence.
Questions like these:
- Which service generates the strongest margin?
- Which customers are most valuable?
- What is causing revenue to decline?
- Which sales opportunities need attention?
- Which marketing source creates customers rather than clicks?
- How long does work take to move through the operation?
- Where do customers drop out?
- How much repeat business do we generate?
- What should management be watching every week?
If the honest answer to most of these is “we are not sure”, you have information everywhere and no clear view of what is actually happening.
The path
From data to decision
Data on its own does not help anyone. It becomes useful when it is organised, analysed and turned into something a manager can act on.
- 01
Data sources
CRM, sales, finance, spreadsheets, web and operational systems.
- 02
Clean & organise
Consistent definitions, deduplicated records, aligned sources.
- 03
Analyse
Find the patterns, gaps and questions that matter commercially.
- 04
Dashboard
The few views management needs, refreshed on a sensible schedule.
- 05
Insight
What is happening, why, and what deserves attention next.
- 06
Decision
A clear read that supports the call, and the action that follows.
Our approach
We start with the decision, not the dashboard
We do not begin by building charts and hoping some of them are useful. First we work out what the reporting is actually for:
- What does management need to know?
- What decisions are difficult today?
- What outcomes matter most?
- What questions keep coming up?
- Which numbers are currently trusted, and which are not?
- Which metrics are missing?
- Where does the data live?
- How often does management need the information?
- Who needs to see it?
- What should happen when a metric moves?
Only then do we design the reporting and analytics around it.
KPI design
Measure what actually matters
Businesses tend to track too many metrics, or the wrong ones. A useful KPI set is small, agreed and tied to a decision. We help define one across the areas that matter:
Financial
Revenue, margin and profitability, cost trends, average transaction and customer value, and recurring revenue where the model has it.
Sales
Lead volume, conversion, pipeline and opportunity value, response time, sales-cycle length, win and loss, and follow-up activity.
Customer
Repeat business, retention and churn where relevant, customer value and segments, service issues and complaints, and customer activity over time.
Marketing
Lead source, campaign performance, cost per lead where it is measurable, landing-page conversion and channel comparison.
Operations
Throughput and turnaround time, workload and backlog, utilisation where relevant, service delivery, quality indicators and where the bottlenecks are.
People
Where appropriate and lawful: staffing levels, absence patterns, workload and training or compliance completion. We do not reduce individuals to automated performance scores that can be unfair.
Dashboards
A dashboard should answer a question in seconds
If it takes study to work out what a view is saying, it is a report, not a dashboard. We build the ones a business actually uses:
Any chart shown in a proposal is illustrative and generic. We do not present invented figures as your business performance.
What we analyse
Most of the value is in a handful of specific questions
These are the areas we are asked to dig into most often.
Sales analytics
Understand what happens between enquiry and revenue: lead source, pipeline movement, stage conversion, win and loss, response time, sales-cycle length, opportunity ageing and quote follow-up, with team and segment patterns where the data supports it.
See also: CRM & Sales Systems
Customer analytics
Not all customers behave the same way. Segmentation, repeat purchases, retention and churn where relevant, purchase frequency, average value, product and service preference, cohort behaviour, lifetime value where there is enough data, and which customers have gone quiet.
Revenue and profitability analysis
Which products or services generate the most revenue, and which generate the most margin. Customer profitability, location and branch comparisons, mix analysis, revenue trends and pricing assumptions worth revisiting, plus where costs are quietly rising. This is commercial analysis, not statutory accounting or audit.
Marketing analytics
Which marketing creates business, not just attention: traffic source, campaign and content performance, enquiries and lead quality, landing-page conversion, email performance and channel comparison, with honest limits on what attribution can tell you.
See also: Digital Marketing & Customer Acquisition
Operations analytics
The bottlenecks hiding in day-to-day work: turnaround time, workload and backlog, process duration, handoff delays, utilisation, service volume, repeat work, quality issues and capacity.
See also: Operations Management & Business Growth, Business Automation
Data consolidation
Stop managing the business from five different spreadsheets
Useful reporting often means bringing information together from several places:
Not every external system can be integrated. Final feasibility depends on APIs, data access and your own permissions with each provider.
Data quality
Bad data creates confident-looking bad decisions
Before building anything advanced, we often need to improve the data underneath it. Common issues include:
This is not glamorous work, but it is usually where reporting projects succeed or fail.
Automated reporting
Reporting should not consume half a day every week
Where a report is produced on a regular cycle from stable sources, most of the assembly can be automated:
Full automation is not right for every source. Some data still needs a person to check it before it goes out. Where the workflows are worth building, our Business Automation service can help.
Business intelligence
Business intelligence means seeing the whole picture
Business intelligence simply means bringing data together so leadership can see the whole picture. Instead of a sales figure here and an operations number there, it gives one more consistent view across sales, customers, operations, marketing, projects and trends.
Once the data is reliable enough, the same foundation supports looking forward: trend-based forecasting, revenue and demand scenarios, staffing and capacity scenarios, a sales pipeline outlook and best, base and downside cases.
Forecasts are not guarantees. They are built on stated assumptions and the data available, and they are only as good as both.
AI and data
AI can help explore data, but judgement still matters
Used carefully, AI speeds up the exploratory parts of analysis. It does not replace the controls or the decision.
Where it helps
- Summarising patterns in a dataset
- Generating questions worth asking of the data
- Explaining a trend in plain language
- Drafting management commentary for review
- Assisting exploratory analysis
- Flagging areas that need a closer look
What we hold to
- Important results are verified, not taken on trust
- Sensitive data is handled appropriately and kept out of tools not approved for it
- AI does not replace proper data controls
- The decision still needs human judgement
If your team wants to use AI responsibly for analysis and decision support, our AI Training & Business Adoption service can help.
Tools
We start with the question, not the tool
Depending on your requirements and what you already use, we can work with common analytics and data environments. Examples include spreadsheets such as Excel and Google Sheets, Power BI, SQL databases, CRM data, website analytics, CSV and exported data, cloud databases and APIs. These are examples of environments we work in, not a claim of official partnerships. The right choice depends on the size of the business, the number of sources and the reporting need.
The difference
The same business, seen two ways
A conceptual comparison rather than a claim that every implementation looks identical.
Before
- 1Several spreadsheets
- 2Different numbers from different teams
- 3Reports prepared by hand
- 4Management chasing people for updates
- 5Nobody sure which figure is correct
- 6Problems discovered late
After
- Agreed KPI definitions
- Structured, aligned data sources
- Consistent reporting
- A management dashboard
- Trends visible
- Problems highlighted earlier
- Decisions supported by evidence
How we work
Define, assess, analyse, build, embed
The same sequence whether we are running a one-off analysis or standing up a reporting capability.
Define
Understand the business questions, decisions and KPIs that matter.
Assess
Review the data sources, their quality and the current reporting.
Analyse
Explore the data, and identify patterns, gaps and commercially useful insights.
Build
Create the appropriate dashboards, reporting, models or analytical workflows.
Embed
Help management use the information consistently, and identify what to look at next.
Not sure what you should be measuring?
You do not need to arrive with a dashboard specification. Tell us what decisions are difficult, what reports you currently rely on and where your business data lives. We will help identify the information that would be most useful.
Discuss Your DataWays to work with us
Five ways to start
The prices shown are starting points. Final pricing depends on the number and quality of data sources, reporting complexity, dashboard requirements, integrations and the level of ongoing analysis required. We confirm scope and fees after an initial conversation.
Business Data & Reporting Diagnostic
From £395
For businesses that have data but are unsure what they should be measuring or how to improve reporting.
What it can include
- Management discovery session
- Current reporting review
- KPI review
- Data-source assessment
- Data-quality observations
- Reporting bottleneck identification
- Management information gap analysis
- A recommended KPI and reporting structure
- A prioritised roadmap
Final scope and pricing depend on the number and state of your data sources.
Request a Data DiagnosticDashboard & Reporting Implementation
From £1,500
For businesses that need practical dashboards and management reporting they can rely on.
What it can include
- KPI definition
- Data preparation
- Dashboard design
- A reporting structure
- Sales, customer and operations views
- Management reporting
- Data consolidation
- Recurring-report setup
- Training and handover
- Documentation
The base price is not unlimited dashboards or integrations. Scope is agreed after discovery.
Discuss Dashboard ImplementationBusiness Analytics Sprint
From £1,500
For a specific commercial question or analytical challenge.
What it can include
- A focused analysis: sales, customers, profitability, marketing, operations, segmentation, pricing or growth
- Key findings
- Clear visualisations
- Management recommendations
- A decision-support summary
- A next-step roadmap
Scoped around one question at a time so the output is genuinely useful.
Discuss an Analytics SprintBusiness Intelligence Implementation
From £2,500
For a more connected reporting and BI environment across several data sources.
What it can include
- Multiple data sources
- Data consolidation
- A KPI framework
- Management dashboards
- Automated reporting
- Reporting models
- Access considerations
- Recurring refresh
- Management views
- Documentation
- Handover and training
Scope depends heavily on the source systems and data architecture, and is confirmed after an assessment.
Discuss a BI SolutionAnalytics & Insight Partner
From £750/month
For ongoing analytical and reporting support without hiring a full-time analyst.
What it can include
- A monthly performance review
- Dashboard improvements
- KPI monitoring
- Management reporting
- Ad-hoc analysis and commercial insights
- Sales, customer and operational analysis
- Reporting automation
- Data-quality improvements
- New business questions as they arise
The level of involvement is agreed with you and can flex month to month.
Discuss Ongoing Analytics SupportFit
Who this is for
Particularly relevant if
- You have meaningful data but weak reporting
- You rely heavily on spreadsheets and manual report preparation
- You cannot clearly explain why business performance is changing
- You need management dashboards
- You have CRM data but do not use it analytically
- You want better sales or customer insight
- You want to understand profitability properly
- You have several locations, teams or services to compare
- You want a small, agreed set of KPIs
- You are growing beyond informal reporting
- You want ongoing analytical support
Probably not the right fit if
- There is almost no usable data yet
- There is no clear business question to answer
- You expect analysis to guarantee a future outcome
- Poor data collection will not be improved
- You want a dashboard purely for appearance, with no intended use
If that is the situation, the first step is usually improving how data is captured. We are happy to talk that through.
What changes
What a good engagement produces
We do not promise specific financial improvements. What improves is what you can see and how confidently you can decide:
How this connects
Insight is more useful when someone can act on it
Analysis often points to a specific change. Where it does, our other services can take it forward.
Questions
Common questions
What is business intelligence?
Business intelligence means bringing data from different parts of a business together so leadership can see one consistent picture of sales, customers, operations, marketing and performance, rather than piecing it together from separate reports.
What is the difference between data analytics and business intelligence?
Analytics is the work of investigating a question in the data and producing an answer. Business intelligence is the ongoing capability: the consolidated data, agreed KPIs and dashboards that let management monitor the business continuously. Most engagements involve some of both.
Can BizPromptly build dashboards?
Yes. Executive, sales, marketing, operations, customer and project dashboards, plus KPI scorecards, designed around the decisions they support and refreshed on a sensible schedule.
Can you work with Excel or Google Sheets?
Yes. A lot of useful reporting is built on spreadsheets, and for smaller businesses that is often the right tool. We also help clean up and structure existing spreadsheets so they are reliable.
Can you work with CRM data?
Yes. CRM data is one of the most common sources: lead source, pipeline, conversion, response times, customer activity and repeat business. Many businesses have this data but do not use it analytically.
Can you analyse sales data?
Yes: lead source, pipeline movement, stage conversion, win and loss, response time, sales-cycle length, opportunity ageing and quote follow-up, with team and segment patterns where the data allows.
Can you analyse customer behaviour?
Yes: segmentation, repeat purchases, retention, purchase frequency, average value, product preference, cohort behaviour and which customers have gone quiet. Lifetime value where there is enough history.
Can you help us define KPIs?
Yes, and it is usually the first task. Most businesses track too many metrics or the wrong ones. We help agree a small set that ties to real decisions across finance, sales, customers, marketing and operations.
Can you automate our reporting?
Where a report is produced on a regular cycle from stable sources, most of the assembly can be automated: scheduled refreshes, KPI summaries and recurring performance packs. Some sources still need a person to check them first.
Can you combine data from several systems?
Often, yes, through consolidation or integration. Feasibility depends on the systems, their APIs, data access and your permissions with each provider. We assess that before committing to an approach.
Can you help improve poor-quality data?
Yes. Duplicates, incomplete fields, inconsistent categories, conflicting definitions and stale data all undermine reporting. Improving the data underneath is often where a project succeeds or fails.
Do you provide forecasting?
Where data quality is sufficient: trend-based forecasting, revenue and demand scenarios, capacity scenarios, a pipeline outlook and best, base and downside cases. Forecasts depend on assumptions and available data, and are not guarantees.
Can you work with Power BI?
Yes, among other environments. Power BI, SQL databases, spreadsheets, CRM data, website analytics and exported data are all examples of what we work with. The right choice depends on the number of sources and the reporting need, not on a preferred product.
Can you analyse marketing performance?
Yes: traffic source, campaign and content performance, enquiries and lead quality, landing-page conversion and channel comparison, with honest limits on what attribution can prove.
Can you help identify operational bottlenecks?
Yes: turnaround time, workload and backlog, process duration, handoff delays, utilisation, repeat work and capacity. The analysis often points to specific process or automation improvements.
Can you provide ongoing analytics support?
Yes. The Analytics & Insight Partner engagement provides a monthly performance review, dashboard improvements, KPI monitoring, ad-hoc analysis and new questions as they come up, without hiring a full-time analyst.
How much does data analytics support cost?
The Business Data & Reporting Diagnostic starts from £395. Dashboard & Reporting Implementation and the Business Analytics Sprint start from £1,500. Business Intelligence Implementation starts from £2,500. The Analytics & Insight Partner starts from £750 per month. Final pricing depends on data sources, quality, reporting complexity and integrations.
Do we need a data warehouse?
Not necessarily. The right architecture depends on the size of the business, the number of sources, the volume of data and the reporting requirements. Smaller businesses can often get useful, reliable reporting without a complex data platform.
Can you guarantee that analysis will increase revenue?
No. Analysis improves visibility and supports better decisions, but commercial outcomes depend on the decisions taken and how well they are implemented.
Your business is already telling you what is happening. Make sure you can see it.
Whether you need clearer KPIs, better reporting, a dashboard or deeper commercial analysis, BizPromptly can help turn your business data into information you can actually use.
Discuss Your Data