The foundation of an effective data platform lies in a deep understanding of your organisation's data landscape and objectives. Methods Analytics’ Discovery and Design process helps organisations clarify their requirements and align their data strategy with unique challenges and goals. 

We Provide: 

• In-Depth Assessments:  Identify strengths, gaps, and opportunities in your data infrastructure, governance and workflows through in-depth evaluations and collaborative workshops with stakeholders.

• Tailored Architecture and PoC Development: Design bespoke, scalable data platform blueprints and validate solutions through small-scale Proof-of-Concept implementations.

• Strategic Alignment and Clarity: Ensure your platform aligns with business priorities, scales with your organisation, and supports informed decisions on technologies like cloud, open-source tools, and AI/ML.

• Actionable Roadmap for Success: Navigate the complexity of technology choices with a clear, strategic plan to maximise the value of your data platform from day one 

Organisations often struggle with fragmented data spread across multiple systems and formats. At Methods Analytics, our Data Integration and Ingestion solutions create unified, consistent data ecosystems that support reliable decision-making and advanced analytics. 

We Provide: 

• Efficient Data Ingestion and Integration: Seamlessly unify data from legacy systems, cloud platforms, and on-premises infrastructure into a unified architecture, with real-time and batch pipelines tailored to your business needs.

• Diverse Data Sources: Handle structured, unstructured, and semi-structured data from APIs, databases, IoT devices, and more, for timely, comprehensive insights that support analytics and AI/ML initiatives. 

• Reliable Workflows: Streamline data ingestion processes to minimise manual intervention, ensuring consistent data quality and accuracy.

• Future-Ready Data Ecosystem: Build a scalable foundation to improve accessibility, maintain consistency, and drive innovation across your organisation.

A robust storage and architecture strategy is the backbone of any successful data platform. At Methods Analytics, we provide Data Storage and Architecture solutions that securely and efficiently manage both structured and unstructured data, enabling seamless access and scalability. 

We Provide:

• Data Lakes and Warehouses: Build scalable environments to store and manage vast amounts of data in formats optimised for analytics and reporting, combining the best of data lakes and warehouse to support diverse use cases from BI to AI/ML. 

• Secure and Flexible Solutions: Create architectures that meet your needs, whether cloud-native, hybrid, or operating in secure environments, that meet governance and compliance requirements while reducing storage costs.

• Optimised Access: Design storage systems that deliver high-performance querying and fast data retrieval for real-time decision-making. 

• Enhanced Decision Making: Create a scalable, efficient data ecosystem that empowers innovation and delivers value across analytics and decision-making functions.

Transforming raw data into actionable formats is critical for powering analytics and decision-making. At Methods Analytics, our Data Transformation and Processing solutions enable organisations to optimise data workflows, improve data quality, and prepare datasets for advanced analytics and AI/ML applications. 

We Provide:

• Automated Data Transformation: Design ETL/ELT pipelines and workflows to efficiently extract, transform, and load data, enabling accurate, analytics-ready datasets. 

• Advanced Frameworks:  Leverage advanced platforms like Databricks, Apache Spark, Microsoft Fabric, and dbt to standardise, transform, and document data pipelines seamlessly and handle real-time and batch processing, ensuring performance and adaptability for growing data volumes. 

• Python Tooling: Utilise Python’s extensive ecosystem, including libraries such as Polars, Pandas, Great Expectations, Dask, and NumPy, to enable high-performance data manipulation, standardise data models, ensure scalable workflows, improve collaboration and automated quality checks. 

• Data Quality and Enrichment:  Ensure clean, reliable data by automating validation, deduplication, and enrichment processes BI dashboards, AI/ML models, and predictive analytics, to meet your analytical needs.

Turning data into actionable insights is essential for making informed decisions and driving organisational success. At Methods Analytics, our Data Analytics and Insights Delivery solutions ensure your teams can access the information they need, when they need it, through intuitive dashboards, robust analytics, and seamless integrations with other systems. 

We Provide: 

• Real-Time Dashboards: Deliver up-to-date insights and user-friendly reports to decision-makers through tools like Power BI, Microsoft Fabric, and custom-built dashboards tailored to your needs. 

• Custom Visualisation and Seamless Integration: Design bespoke analytics and visualisation tools, and connect your analytics environment to AI/ML systems, external platforms, and workflows for actionable insights to empower teams with improved decision-making and foster collaboration across the organisation

• Scalable Analytics Solutions: Deliver flexible, integrated analytics that grow with your organisation, maximising the value of your existing tools and investments.