Are you struggling to keep pace with the ever-growing volume and complexity of your data?
Cloud Data Engineering
A Modern Data Platform is a comprehensive set of tools and services, designed for cost-effectiveness and resilience, and it tackles the complexity of data and analytics head-on. But it’s more than just technology. We leverage our deep expertise in data engineering, ensuring seamless integration and optimization across complex cloud environments.
By harnessing the power of the cloud, you gain access to scalable, flexible, and cost-effective data storage and processing capabilities. This means you can handle even the most complex analytics requirements, empowering your business to make data-driven decisions and drive results. Whether you choose a single provider or a hybrid approach, we’ll help you find the perfect solution to meet your specific needs.
Picking the Right Cloud Platform
Choosing the right cloud provider for your modern data platform is a critical decision that can have significant implications for your organisation’s data capabilities and overall information strategy. We work with Google Cloud, SAP, Microsoft Azure, Amazon Web Services and a range of modern data stack tools, each have their strengths.
“Automation is the biggest benefit we’ve achieved with our use of BigQuery so far. People used to run manual reports, now it’s automatically aggregated for every store across the business and automatically emailed to stakeholders. We’re getting the right information in front of the right people every day. The visibility improvement has been massive.”
Tom Prusher
Data & Analytics Lead at Briscoe Group
Consider what’s available as cloud native vs buying from the marketplace. Cloud providers are constantly adding more advanced AI services that can be easily leveraged to support the business.
By choosing modern architectures that leverage off serverless technologies, they are cheaper to run and scale well. Flexibility should be considered in fast moving architectures where swapping services and approaches is commonplace. Scalability is inbuilt in the cloud, but not necessarily in certain services or products where scalability can be constrained.
Understanding your data volume projections is crucial for optimising cloud costs and total cost of ownership (TCO). Different cloud architectures have varying cost profiles, some with FinOps approaches that minimise spend, and others that need much higher technical support to keep the platform tuned and healthy.
The availability and ease of integration of third-party tools with your data platform.
Are you struggling to keep pace with the ever-growing volume and complexity of your data?
Cloud Data Engineering
A Modern Data Platform is a comprehensive set of tools and services, designed for cost-effectiveness and resilience, and it tackles the complexity of data and analytics head-on. But it’s more than just technology. We leverage our deep expertise in data engineering, ensuring seamless integration and optimization across complex cloud environments.
By harnessing the power of the cloud, you gain access to scalable, flexible, and cost-effective data storage and processing capabilities. This means you can handle even the most complex analytics requirements, empowering your business to make data-driven decisions and drive results. Whether you choose a single provider or a hybrid approach, we’ll help you find the perfect solution to meet your specific needs.
Picking the Right Cloud Platform
Choosing the right cloud provider for your modern data platform is a critical decision that can have significant implications for your organisation’s data capabilities and overall information strategy. We work with Google Cloud, SAP, Microsoft Azure, Amazon Web Services and a range of modern data stack tools, each have their strengths.
“Automation is the biggest benefit we’ve achieved with our use of BigQuery so far. People used to run manual reports, now it’s automatically aggregated for every store across the business and automatically emailed to stakeholders. We’re getting the right information in front of the right people every day. The visibility improvement has been massive.”
Tom Prusher
Data & Analytics Lead at Briscoe Group
Consider what’s available as cloud native vs buying from the marketplace. Cloud providers are constantly adding more advanced AI services that can be easily leveraged to support the business.
By choosing modern architectures that leverage off serverless technologies, they are cheaper to run and scale well. Flexibility should be considered in fast moving architectures where swapping services and approaches is commonplace. Scalability is inbuilt in the cloud, but not necessarily in certain services or products where scalability can be constrained.
Understanding your data volume projections is crucial for optimising cloud costs and total cost of ownership (TCO). Different cloud architectures have varying cost profiles, some with FinOps approaches that minimise spend, and others that need much higher technical support to keep the platform tuned and healthy.
The availability and ease of integration of third-party tools with your data platform.
Google Cloud
Google Cloud Platform offers a comprehensive foundation of cloud computing services.
Google Cloud is built with and for AI, providing scalable, secure, and innovative solutions to meet constantly evolving technology needs. What sets Google Cloud apart are its unique features, including cutting-edge artificial intelligence and machine learning capabilities. Leverage these powerful tools to gain data-driven insights, automate processes, and drive innovation. Additionally, the platform’s open-source compatibility and developer-friendly interfaces make it easy to integrate with your existing systems and workflows. Google is considered the market leader in Analytics platforms.
Seeking Guidance for Your Analytics Migration to Google Cloud BigQuery?
Whether your business is exploring a shift of its analytics infrastructure to Google Cloud BigQuery, has already begun the process, or is facing challenges during the migration, Mero’s Cloud Analytics OnRamp provides a secure and well-managed pathway to success.
Turning Mountains of Data into Actionable Insights with Google BigQuery
Briscoe Group’s experience highlights the significant transformation possible when consolidating data within Google BigQuery. They discovered the wealth of information available and the exciting potential for generating valuable business insights.
Unifying Disparate Data for Cost-Effective Insights with Google Cloud Cortex Framework
Many organisations, whether through organic growth or mergers and acquisitions, face the challenge of siloed data residing across diverse platforms and applications. Bringing this fragmented data together to generate meaningful, connected insights can be particularly complex and costly.
The Google Cloud Cortex Framework simplifies the process of connecting data from various sources across the entire enterprise, enabling a more unified and cost-effective approach to achieving clearer data understanding.
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Ready to take your business to the next level with Google Cloud?
SAP Datasphere
The modern business landscape is data-driven, having a unified and harmonised view of your mission-critical SAP information is essential for making impactful decisions.
SAP Datasphere delivers a powerful data fabric architecture that brings together data from across your organisation, empowering your business experts to unlock valuable insights. DataSphere offers easy SAP data modelling leveraging intuitive, low-code/no-code tools and advanced data flow editors to model, transform, and replicate your data. You can enrich your existing datasets by seamlessly integrating external information from the Data Marketplace, CSV uploads, and other third-party sources. The graphical, self-service modelling capabilities enable your business users to create powerful analytical models without technical complexity. Datasphere also offers a comprehensive solution for data integration, connecting both SAP and non-SAP cloud or on-premise data sources. For many customers with significant investment in SAP Business Warehouse, we can easily re-use and migrate the metadata and data models already residing in your SAP BW implementations with the SAP BW Bridge tool in SAP DataSphere.
Unlock the full potential of your data with SAP Datasphere’s harmonised, business-empowering architecture. Mero are experts in the field of SAP data engineering and can help you navigate the roadmap from SAP BW to Datasphere.
We’re ready to help you unlock the power of your SAP data
Microsoft Azure
Microsoft Azure is a comprehensive cloud computing platform that offers a robust set of services and capabilities to build and deploy a modern data platform.
Azure’s extensive suite of data services allows organisations to address diverse data management and analytics requirements within a unified cloud ecosystem. Most analytics solutions within Azure will use Marketplace apps to provide a more complete and capable analytics platform.
See if Azure is the right fit for your organisation’s data needs
Amazon Web Services
AWS offers a wide range of data storage, processing, analytics, and governance services.
This diverse set of data services allows organisations to address various data management and analytics requirements within the AWS ecosystem. AWS’s cloud-native architecture enables seamless scalability, allowing organisations to dynamically provision and scale data resources to meet changing business demands. Virtually all analytics solutions within AWS will use Marketplace apps to provide a more complete analytics platform.
Want to learn more about AWS data services and their benefits?
Modern Data Stack
Powerful, flexible, and cost-effective options for data pipelines, data models and developing predictive analytics.
At Mero, we understand the complexities of building and managing a modern data stack. We leverage the power of open-source tools like dbt, Airflow, and Meltano to deliver robust, scalable, and cost-effective solutions. Our expertise in serverless and composable services allows us to tailor solutions that seamlessly integrate with your existing infrastructure.
We go beyond simply implementing tools; we provide strategic guidance and hands-on expertise to help you transform your data into actionable insights. Whether you need to optimise your data pipelines, build sophisticated data models, or develop predictive analytics, Mero has the skills and experience to help you achieve your goals.
Partner with us to build a platform that leverages the power of cloud technology. We’ll work with you to design a solution that delivers the flexibility, scalability, and the insights you need.
Curious about building a data-driven organization with open source tools?
More Than a Data Supply Chain
The Modern Data Platform is more than just infrastructure. It also embraces the transformative role of artificial intelligence in analytics. By integrating AI-powered tools and techniques, your business can uncover deeper insights, automate repetitive tasks, and make more informed, data-driven decisions. Whether you’re looking to modernise your data capabilities or build a next-generation analytics ecosystem, a Modern Data Platform offers a strategic, future-proof approach.
Get Started With A Business Discovery Session
Great conversations lead to great outcomes. Get in touch below, and we’ll contact you to arrange a 15 minute business discovery session.