Data Engineering and Business Intelligence
Practical guides to help you make the next decision with confidence.
37 guides
What Is Business Intelligence?
A plain explanation of business intelligence for owners: the three layers, the four parts of a pipeline, and how to scope a first report.
Does Your Business Need a Management Dashboard?
A decision test for owners: which late decisions justify a dashboard, how to audit current reports, and how to pilot one before building more.
Excel Reports vs Automated Business Dashboards
Compare Excel reports and automated dashboards on rebuild effort, access control, traceability and fit, with a staged way to choose between them.
Essential KPIs Every Business Owner Should Track
How to pick a short set of KPIs by business area, with a written formula, source, owner and review rhythm for each, and how to avoid vanity numbers.
How to Combine Data from Multiple Business Systems
A step-by-step process for combining data from separate business systems into one report: inventory, matching, quality checks and reconciliation.
How to Create a Single Source of Truth for Business Data
A single source of truth needs field-level ownership, agreed definitions, sync rules and an exception review, not one giant database.
Real-Time Reporting vs Scheduled Reporting
How to decide which metrics need real-time refresh and which are fine on a schedule, based on cost, complexity and decision speed.
How Poor Data Quality Affects Business Decisions
How missing, duplicate and stale records quietly distort purchasing, collections and reporting, and how to measure and fix the cost.
Business Data-Cleaning Checklist
A step-by-step data-cleaning checklist for SMBs: profiling, standardising, merging duplicates, reconciling, and preventing recurrence.
Common Dashboard Design Mistakes
The recurring dashboard design mistakes that make SMB dashboards go unused: unclear audience, chart clutter, missing context and permissions.
When Does an SMB Need a Data Warehouse?
A decision framework for when a small business genuinely needs a data warehouse, versus a simpler reporting database or no new infrastructure at all.
How to Prepare Business Data for AI
A practical guide to preparing business data for an AI use case: scope, completeness, structure, sensitive fields and ongoing upkeep.
Showing 12 of 37 guides
All 37 guides in Data Engineering and Business Intelligence as a plain list
- What Is Business Intelligence?
- Does Your Business Need a Management Dashboard?
- Excel Reports vs Automated Business Dashboards
- Essential KPIs Every Business Owner Should Track
- How to Combine Data from Multiple Business Systems
- How to Create a Single Source of Truth for Business Data
- Real-Time Reporting vs Scheduled Reporting
- How Poor Data Quality Affects Business Decisions
- Business Data-Cleaning Checklist
- Common Dashboard Design Mistakes
- When Does an SMB Need a Data Warehouse?
- How to Prepare Business Data for AI
- Marketing Dashboard for a Small Business: What It Should Show
- Power BI vs Metabase vs Looker Studio: Which Suits Your Business
- Why Sales and Accounts Report Different Numbers, and How to Fix It
- How to Plan a Dashboard Built on Tally Data
- How to Build Dashboards That Help Managers Make Decisions
- What is a semantic layer and why dashboards need one
- Metric definition document: a template for agreed business numbers
- How to set up scheduled report emails and alerts people act on
- What to ask a BI consultant before they build your dashboards
- How to write a KPI definition sheet your team signs off
- What to ask a vendor before a business intelligence project
- Reporting database vs data warehouse vs data lake for small business
- What is ETL and how data reaches a dashboard from your software
- Why your Power BI report is slow and how to find the cause
- Why dashboard figures change after a data refresh
- Why managers stop opening the dashboard and how to rescue it
- How to set up row level security so each branch sees its own numbers
- Which reports to keep in accounting software and which to move
- Why dashboard numbers change after the month is closed
- Why one customer shows up under several names in your reports
- How to set up a monthly management report that sends itself
- Custom dashboard or a BI tool: when building your own pays off
- Import or live query: how should a BI tool read your data
- Why a scheduled data refresh fails and where to look first
- What a data dictionary is and why every dashboard needs one