Data Analytics & Business Intelligence
Turn raw data into actionable insights that drive strategic decisions and competitive advantage. We build business intelligence solutions that collect, process and visualise your data from every source - from real-time dashboards to predictive models that explain customer behaviour, optimise operations and surface new opportunities.
Data Analytics Excellence That Drives Business Growth
Having implemented analytics solutions for 35+ organisations processing millions of data points daily, we know how to extract meaningful insight from complex datasets.
Our analytics solutions typically improve decision-making speed by 60% while identifying 20-30% operational cost savings through data-driven optimisation.
Everything, decision-ready
A clear inventory of every data source, its quality and where the gaps are - the foundation for trustworthy analytics.
ETL processes, data warehouses or lakes and governance that keep your data clean, current and unified.
Real-time dashboards and reports in Tableau or Power BI that operators and leaders read at a glance.
Forecasting and machine-learning models that anticipate demand, churn, risk and opportunity.
Validation, access controls, audit logging and GDPR-ready handling so your data stays accurate and secure.
Hands-on training and documentation so your team runs self-service analytics with confidence.
Our Data Analytics Process
Data Discovery & Assessment
Identify all data sources, assess data quality and availability, understand the business questions and objectives, and define success metrics for the analytics initiative.
Data Architecture & Integration
Design data pipelines, establish data warehouses or lakes, implement ETL processes, and put data quality and governance frameworks in place.
Analytics & Visualisation Development
Build dashboards and reports, develop analytical models, implement predictive analytics, and design intuitive visualisations that communicate insight effectively.
Testing & Validation
Validate analytical models, test dashboard functionality, ensure data accuracy, and verify that insights align with business understanding and objectives.
Deployment & Training
Deploy the analytics solution, train teams on interpretation and usage, establish ongoing maintenance procedures, and provide continuous optimisation support.
When data analytics pays for itself
A focused analytics initiative tends to pay back fastest in a few specific moments. These are the ones we are asked for most.
Replace gut-feel with real-time KPIs so leadership decides faster and with confidence.
Understand what customers do and predict churn before it costs you revenue.
Surface waste and bottlenecks in operations to unlock measurable cost savings.
Forecast demand and pipeline accurately so planning and inventory stay ahead of reality.
Measure campaign effectiveness end to end and reallocate spend to what actually works.
Spot anomalies, fraud and risk early with models that watch the data continuously.
The difference a redesign makes
Drag to compare a typical before-and-after from our UX work.
63%
Avg. conversion uplift
2.4×
Faster task completion
4.9★
Client rating
3wk
Typical timeline
Your first 7 days are free.
Scope a 1-month+ project
First 7 days free
Continue only if impressed
No risk · Real deliverables · Walk away after the week, no fee
A full week of our design team on your product — to kick off a 1-month+ engagement.
2 of 5 onboarding slots left this month
"Their efforts to truly understand the product were impressive — structured, helpful and skilled. Our internal KPIs jumped after the redesign."
FAQ
Couldn't find what you were looking for? Write to us at hello@myplanet.design
What types of business questions can data analytics answer?
Analytics can address customer behaviour and preferences, sales performance and forecasting, operational efficiency, marketing campaign effectiveness, product performance, financial trends and profitability, risk and fraud detection, supply chain optimisation, and competitive market analysis. We help identify the most valuable questions for your business first.
How do you ensure data quality and accuracy?
We apply automated validation and cleansing, duplicate detection, outlier handling, data lineage tracking, source-system monitoring, regular quality audits, governance policies and ongoing monitoring dashboards. Clean, accurate data is essential for reliable insight and confident decisions.
What tools and platforms do you use for analytics?
Our toolkit includes Tableau and Power BI for visualisation, Python and R for advanced analytics, SQL databases for storage, cloud platforms (AWS, Azure, GCP) for scalable processing, Apache Spark for big data, and ML frameworks such as TensorFlow and scikit-learn. We select tools based on your requirements and existing infrastructure.
Can you work with our existing data and systems?
Yes. We integrate with virtually any source including existing databases, CRM, ERP, marketing tools, web analytics, file systems, APIs and legacy systems, creating a unified view of your data regardless of where it lives or what format it is in.
How quickly can we start seeing insights from our data?
Timeline varies by complexity. Basic dashboards: 2-4 weeks. Comprehensive analytics platforms: 6-12 weeks. Advanced predictive models: 8-16 weeks. We often deliver value incrementally, starting with foundational dashboards and adding sophistication over time.
What about data privacy and security?
Security measures include data encryption, access controls and user permissions, audit logging, compliance with regulations such as GDPR and HIPAA, data anonymisation where needed, secure cloud infrastructure, regular security assessments and staff training on data handling. Your data stays secure while enabling powerful analytics.
Do you provide training for our team to use analytics tools?
Yes. Training covers dashboard usage and interpretation, self-service analytics, data exploration techniques, report creation and sharing, and best practices for data-driven decision-making, plus ongoing support so your team can work independently with expert help on hand.
How do you measure the ROI of analytics investments?
We track improved decision-making speed and accuracy, operational cost savings through optimisation, revenue growth from better insight, reduced risk through predictive analytics, time saved on reporting, and competitive advantage from data-driven strategy. We set baseline metrics up front and measure improvement over time.
