Analytics & BI Dashboards
Managed & Advisory / Analytics & BI Dashboards

Business intelligence that answers the questions leadership actually asks

CRM-connected analytics dashboards for sales, marketing, customer success, and executive leadership -- built on real data, designed for decisions, and maintained as the business evolves.

Real-time

Live data, no manual refresh

CRM-connected

Pipeline as source of truth

Role-based

Different views per team

Maintained

Updated as metrics evolve

Executive service questions

Questions leaders ask before approving Analytics & BI Dashboards

This section is written for decision-makers who need to understand the business reason, risk, first step and expected outcome before approving a CRM, data or automation engagement.

Why should leadership prioritise this now?

Analytics & BI Dashboards should become a priority when the current process is limiting revenue visibility, slowing execution or forcing teams into manual workarounds.

  • Leadership cannot get trusted answers quickly
  • Teams rely on spreadsheets outside the CRM
  • Data, reporting or workflow issues are now affecting growth

What is the executive risk of waiting?

Waiting usually increases hidden cost because poor process and data quality compound across reporting, automation, migration and user adoption.

  • Monthly board report takes a full week to produce
  • Leadership makes decisions on stale or unreliable data
  • Every team reports a different version of the same number

What should a strong vendor plan include?

A strong plan should connect business goals to architecture, process design, data ownership, implementation sequence, QA and adoption.

  • Current-state diagnosis before build
  • Target operating model and implementation roadmap
  • Validation, reporting and adoption checkpoints

When should a CRO, COO or CRM Director approve this?

Approve the work when the business problem is clear, the cost of inaction is visible and the scope can be tied to revenue, efficiency or governance outcomes.

  • The business owner agrees on the desired outcome
  • The current setup is blocking decisions or execution
  • There is a realistic roadmap and delivery model

What should the first 30 days deliver?

The first 30 days should deliver a decision-ready plan, not vague recommendations.

  • Discovery workshop and system review
  • Risk-ranked issue backlog
  • Implementation roadmap with owners and priorities

What information should you prepare?

Prepare enough context to explain the business impact, current technical state and decision process.

  • Current platform and reporting pain
  • Known data, integration and adoption issues
  • Stakeholders, timeline, budget stage and constraints

Use these answers to decide whether this page matches your current CRM problem. If it does, ask Celumai for a focused audit and implementation plan.

Discuss Analytics & BI Dashboards →

Business challenges

Why Analytics & BI Dashboards projects fail

01

Monthly board report takes a full week to produce

Data exported from CRM, ERP, and marketing platforms. Reconciled manually in Excel. Formatted into a slide deck. Distributed. By the time anyone reads it, it describes events that happened 3 weeks ago.

02

Leadership makes decisions on stale or unreliable data

The dashboard was built 2 years ago and last updated when the BI analyst who built it left. Several metrics are calculated incorrectly. Leadership knows this but there is nothing to replace it with.

03

Every team reports a different version of the same number

Sales reports one pipeline figure. Marketing reports another. Finance reports a third. Board meetings begin with 20 minutes of reconciliation rather than decision-making.

04

BI tools purchased but not meaningfully used

Tableau or Power BI licensed at significant cost. The dashboards were built once, never maintained, and adoption has dropped to near zero because the data is no longer trusted.

What is included

Everything in this service

Requirements Design

Define the specific decisions each audience needs to make -- leadership, sales, marketing, customer success -- and design the metrics, data sources, calculation methodologies, and refresh frequencies for each dashboard before building anything.

Decision-first designMetric definition & calculationData source identificationRefresh frequency specification

Deliverables

v Requirements specification
v Metric dictionary with calculations
v Data source map
v Dashboard design brief per audience

How it works

Our delivery process

01

Requirements workshop

Define the decisions each audience needs to make and the metrics required to make them. Establish calculation methodology for every shared metric before build begins.

02

Data quality audit

Assess the quality, availability, completeness, and freshness of every data source the dashboards will draw from.

03

Data modelling

Build the unified data layer connecting CRM, ERP, and marketing data with consistent, agreed calculations.

04

Dashboard build

Build role-based dashboards designed for decision-making. Each dashboard answers specific questions, not just displays data.

05

Launch & maintenance

Launch with user training, access configuration, and a defined maintenance cadence to keep dashboards trusted as the business evolves.

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Success stories

Client results

All case studies

The board report that used to take my team 3 full days every month now refreshes automatically every morning. The first board meeting where I presented live data instead of a week-old PDF changed the quality of our strategic conversations immediately.

C

CFO

Manufacturing Company

Sales, marketing, and finance are now looking at the same pipeline number from the same source with the same calculation. The 20-minute reconciliation debate that opened every Monday review is gone. We spend that time on decisions instead.

V

VP Sales

B2B Technology Company

Case study SaaS & Technology

2.1x increase in qualified demo requests

B2B SaaS Company, Early Growth Stage

A Quick-Win HubSpot Chatbot Rollout That Doubled Qualified Demo Requests

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Case study SaaS & Technology

9 years of customer history migrated with zero disruption to active renewals

B2B SaaS Company, Mid-Market Segment

Migrating a SaaS Company Off a Homegrown CRM Onto Dynamics 365

Read case study ->

Platforms we use for this service

Tableau Power BI Salesforce CRM Analytics Looker Google Looker Studio HubSpot Reporting
BI Dashboard Design Guide

Free resource

BI Dashboard Design Guide -- get it free

Requirements framework, metric dictionary template, data source mapping worksheet, and maintenance checklist for building BI dashboards that get used and trusted.

Excel + PDF * Free

FAQ

Your Analytics & BI Dashboards questions, answered

Ready to start?

Build your analytics dashboards

We respond within 1 business day with an honest assessment -- no commitment required.

v Response within 1 business day
v Free initial assessment -- no commitment
v Fixed-price options available
v All data under strict NDA from day one
v Milestone-led delivery with clear scope governance

We respond within 1 business day. No spam.

Client results

What this service has delivered

All case studies →
Case Study
Consolidated reporting in 87 days

Fractional CRM Leadership for a Private Equity-Backed Business – From Post-Acquisition Chaos to CRM Clarity

PE-Backed Professional Services Group

A PE-backed services business had acquired three companies in 18 months. Each had a different CRM. The board…

87 days
Consolidated reporting delivered
3 CRMs
Merged into one
78%
Group forecast accuracy
Read case study →
Case Study
CRM adoption 44% → 88%

Managed CRM Support Programme for a 200-Person Professional Services Firm – CRM Adoption from 44% to 88%

Professional Services Firm (200 staff)

A professional services firm had implemented HubSpot twelve months earlier. Adoption had stalled at 44%. Partners were using…

44%→88%
CRM adoption
94%
Pipeline data quality
6 months
Time to result
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Case Study
Board reporting 5 days → 2 hours

CRM Analytics and BI Dashboard Programme for a Financial Services Group – Board Reporting From 5 Days to 2 Hours

Financial Services Group

A financial services group was spending five days every month producing board reporting from CRM data manually. Three…

2 hours
Board reporting time (from 5 days)
Real-time
Pipeline data freshness
12 wks/yr
Analyst time freed
Read case study →