Analytics
Turn business data into evidence for understanding performance, diagnosing problems and deciding what to do next.
What This System Solves
Businesses can collect enormous amounts of data without becoming any better at making decisions. Dashboards filled with disconnected metrics often show what happened without explaining why it matters, where intervention is needed or what should happen next.
Analytics connects measurement to decisions. It helps the business identify meaningful patterns, compare performance, diagnose problems and understand which areas deserve attention so decisions can be based on evidence rather than assumptions or isolated numbers.
Who Needs It:
- You collect data but are unsure which metrics actually matter
- Reports show activity without making the next decision clearer
- Different tools provide conflicting or disconnected versions of performance
- Problems are often discovered after they have already affected results
- You struggle to identify why performance has improved or declined
- You want reliable evidence for deciding where time, money and attention should go
CHOOSE YOUR SYSTEM
Find the level that fits your business.
Compare practical options based on the capability, complexity and scale your business actually needs.
BASIC
For straightforward requirements
Recommended
Databox
Best for
Small teams wanting consolidated KPI dashboards without building a full BI environment
Core strength
Fast dashboarding across common business data sources
Watch-out
Less suitable for deep modelling, governed semantic layers or highly complex enterprise analytics
Price level
$
Free/paid dashboard options; cost scales with data connections, users and features
GYBU pick for
Businesses that need visibility across key metrics more than they need a full analytics engineering stack
Visit Databox →
INTERMEDIATE
For established and growing businesses
Recommended
Microsoft Power BI
Best for
Established teams needing deeper modelling and BI, particularly within a Microsoft environment
Core strength
Strong data modelling, visualisation and Microsoft ecosystem integration
Watch-out
Governance, model design and licensing can become complex as usage expands
Price level
$$
Per-user and capacity-based options; verify current Microsoft licensing
GYBU pick for
Businesses ready to build governed analytical models rather than only dashboards
Visit Microsoft Power BI →
PREMIUM
For advanced and scaling requirements
Recommended
Google Cloud Looker
Best for
Data-mature organisations needing governed metrics and embedded or enterprise analytics
Core strength
Governed semantic modelling and enterprise analytics on modern data infrastructure
Watch-out
Requires mature data architecture and technical capability; excessive for simple reporting needs
Price level
$$$
Platform pricing is sales-led and depends on deployment and usage
GYBU pick for
Organisations where consistent metric definitions and analytics governance matter across many users or products
Visit Google Cloud Looker →
IN MORE DETAIL
Understand the recommendations.
A closer look at where each option performs well, where it doesn’t, and the businesses it’s best suited to.
Best for
Small and growing teams that need important metrics from several business tools brought into clear dashboards for regular decision-making.
What it does well
Databox makes cross-tool KPI reporting relatively accessible, helping teams establish a reporting rhythm without first building a dedicated BI function.
Watch-outs
Businesses needing complex modelling, governed enterprise metrics or large-scale analytical development may outgrow a dashboard-first approach.
Pricing
Free and paid options are available, with higher plans expanding data, automation and collaboration capabilities. Check Databox for current pricing.
Why GYBU recommends it
Visit Databox →
Databox is the Basic Analytics pick because it helps businesses establish useful visibility before investing in a full business-intelligence architecture.
Best for
Established teams that need deeper business intelligence, modelling and interactive reporting, especially where Microsoft data and productivity tools are already central.
What it does well
Power BI supports substantial data modelling and analysis while integrating closely with the broader Microsoft ecosystem.
Watch-outs
Good BI still requires data ownership, metric definitions and governance. Licensing and workspace architecture should be planned before scaling distribution.
Pricing
Microsoft offers different Power BI licensing and capacity options. Check Microsoft for current pricing and the model appropriate to your deployment.
Why GYBU recommends it
Visit Microsoft Power BI →
Power BI is the intermediate recommendation because it gives established teams serious BI capability without automatically requiring a bespoke enterprise analytics platform.
Best for
Data-mature organisations that need a governed analytics layer across teams, applications or embedded customer experiences.
What it does well
Looker is strong where organisations need centrally defined business logic and reusable metrics on top of modern cloud data infrastructure.
Watch-outs
It assumes a stronger data foundation and more technical capability than dashboard tools. Without that foundation, implementation can become unnecessarily heavy.
Pricing
Looker pricing depends on platform deployment and usage. Contact Google Cloud for current commercial details.
Why GYBU recommends it
Visit Google Cloud Looker →
Looker is the premium Analytics pick when analytics must become a governed enterprise layer rather than a collection of individual reports.
STILL UNSURE?
Start with what your business actually needs.
Use these three questions to narrow the options before choosing a system.
01
What decisions should the reporting change?
Define the decisions and metrics first. A dashboard that does not influence action is reporting overhead, regardless of how sophisticated the BI platform is.
02
How trustworthy is the underlying data?
Do not solve inconsistent definitions or poor source data with a prettier dashboard. Establish ownership and metric definitions before scaling analytics.
03
Do you need dashboards, modelling or governed metrics?
Choose dashboard tools for visibility, BI tools for deeper modelling, and governed semantic platforms when many teams or products must use the same business definitions.
CONTINUE BUILDING
One system is only part of the business.
Explore another Business System to find the tools and systems your business needs next.
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