Google Big Query Consultancy

Why Choose BigQuery + Walker Analytics

• Scalable, cost-effective data infrastructure: BigQuery lets you store and analyse vast volumes of data without worrying about hardware, cluster management, or scaling operations. We help you design your BigQuery environment so you only pay for what you use — and get performance when you need it.

• Real-time & near-real-time insight: No more waiting days for batch reports. We build pipelines that feed data into BigQuery as events happen, enabling dashboards, alerts, and decisions in (near) real time.

• Unified data view: Connect all your data — website analytics, marketing platforms, CRM, IoT, financials — in one place. Through data modelling and intelligent schema design, we help you join and query disparate data sources with consistency and accuracy.

• Advanced analytics & Machine Learning ready: BigQuery integrates natively with tools like BigQuery ML, Vertex AI, Looker Studio, and other BI platforms. We set you up not just for reporting, but predictive analytics, anomaly detection, and custom modelling, so you stay ahead.

• Security, governance, compliance: Data considerations aren’t an afterthought. We implement best practices for access control, encryption, dataset partitioning, and data retention — keeping your data safe, compliant, and trustworthy.

What We Offer

Our BigQuery service is end-to-end. We guide you through every stage — strategy, architecture, implementation, optimisation, and ongoing support.

1. Assessment & Strategy

   • Review your current data architecture, analytics systems, and business needs.

   • Identify high-value use cases (e.g. conversion funnel analysis, marketing attribution, customer segmentation).

   • Define data sources, data flows, frequency, volume, and quality requirements.

   • Develop a roadmap for incremental delivery and scale.

2. Data Pipeline & Ingestion Setup

   • Move data from web analytics, mobile apps, third-party APIs, CRMs, etc., into BigQuery efficiently using streaming inserts, batch loads, or ETL/ELT tools.

   • Implement event logging strategies — designing data schemas, ensuring consistent naming, versioning, and testing.

   • Build automated data validation, monitoring, and error handling to maintain reliability.

3. Schema Design, Partitioning & Optimisation

   • Design logical dataset structure, table schemas, views, and partitions to ensure efficient querying.

   • Use clustering, sharding, and partitioning best practices to reduce costs and improve query speeds.

   • Build derived tables or materialised views where helpful for performance gains.

4. Querying, Reporting & Dashboard Integration

   • Write performant SQL queries for insight generation — e.g. cohort analyses, time-series trends, funnel conversion, anomaly detection.

   • Connect BigQuery to dashboard tools such as Looker Studio, Looker, or custom internal dashboards.

   • Build reusable data models and views to support business users and analysts.

5. Cost Management & Performance Tuning

   • Monitor query patterns and dataset usage to identify inefficiencies (excess data scanned, repeated joins, unpartitioned tables).

   • Apply query optimization techniques — use of approximate functions, aggregation tables, limiting data scanned.

   • Set up resource controls, quotas, and alerts to avoid cost overruns and wasted compute.

6. Governance, Security & Compliance Setup

   • Implement identity and access management (IAM) policies ensuring least-privilege access.

   • Set up data encryption at rest and in transit, along with encryption keys if required.

   • Design data retention & archival policies, audit logs, and ensure GDPR / UK data protection compliance.

7. Training, Documentation & Ongoing Support

   • Hands-on training for your analysts, engineering and marketing teams on BigQuery best practices, SQL skills, cost awareness.

   • Detailed documentation of your BigQuery environment: schemas, data lineage, troubleshooting guides.

   • Regular reviews & optimisations, quarterly audits to ensure the data platform continues to serve evolving business needs.

How We Work

At Walker Analytics, we believe in delivery models that balance speed, quality, and risk. Our process typically looks like this:

• Discovery & Planning (Week 1-2): Understand your data sources, objectives, existing systems; define KPIs, scope, deliverables.

• Implementation Phase (Weeks 2-6): Setup pipelines, schemas, ingestion, dashboards; run rigorous testing.

• Validation & Go-Live (Week 6-8): Conduct QA, performance testing, security review; migrate into production or hand over.

• Post-Launch Optimisation & Support (Ongoing): Monitor performance, refine queries and architectures, provide training, and support new use cases.

We’ll work in close collaboration with your internal stakeholders — analytics, engineering, marketing — to ensure the solution meets everyone’s needs without over-engineering or introducing unnecessary complexity.

Who Benefits Most

Our BigQuery consultancy is especially valuable for:

• Digital businesses with large data volumes (ecommerce sites, SaaS platforms, media sites) who need elasticity and scalability.

• Teams with fragmented data sources—marketing tools, CRM, web/mobile apps—looking to combine them into a single source of truth.

• Companies wanting faster, data-driven decision cycles: if you’re frustrated with slow reports and manual data wrangling.

• Organisations interested in ML, advanced analytics, AI who want to build predictive models, detect anomalies, or deliver personalised experiences.

• Businesses with compliance, governance, or cost concerns who need to ensure their analytics setup is secure, efficient, and auditable.

Key Outcomes You Can Expect

When you engage us for Google BigQuery services, here’s what you’ll get:

• Faster insights — Reports that once took hours or days, now available in minutes or seconds.

• Reduced wasted spend — You’ll no longer be paying for inefficient queries, redundant data stores, or misconfigured infrastructure.

• Reliable, clean data you can trust — Reduced errors, better schema discipline, automated monitoring so insights are accurate.

• Self-service analytics — Empowered analysts and business users with prebuilt views, dashboards, and documentation.

• Capability to scale — As your business grows, your platform is ready to accommodate increasing volume and complexity.

• Competitive advantage — Making decisions based on real data, spotting emerging trends, being proactive instead of reactive.

Why Walker Analytics

• Proven track record: We’ve helped clients across sectors—ecommerce, SaaS, media, finance—design and deploy BigQuery solutions that transform their ability to act on data.

• Technical excellence & pragmatism: We focus on implementing best practices, but in a way that’s maintainable, cost-aware, and aligned with your team’s capacity.

• Transparent communication: From project timelines to cost estimates and trade-offs, we believe in being clear and open.

• Focus on value, not just tools: We don’t sell BigQuery. We deliver outcomes — faster insights, better decision making, lower costs, improved ROI.

Get Started Today

Ready to transform your data landscape? Talk to Walker Analytics about our Google BigQuery service:

• Book a free consultation to discuss your data challenges, current architecture, and what’s holding you back.

• Request a tailored proposal with a breakdown of scope, timeline, and cost estimates.

• See sample case studies showing how we helped companies just like yours use BigQuery to reduce reporting time, improve forecasting, and scale analytics without breaking the bank.