Modern Data Platform
Good decision making requires up to date and accurate data, stored in a secure and accessible location.
What is a Modern Data Platform
A modern data platform is a collection of technologies and tools that enable organisations to manage, process, and analyse large volumes of structured and unstructured data. These platforms typically include a data warehouse, data lakes, and a range of analytics and visualisation tools, as well as technologies for data integration, data governance, and data security. The goal of a modern data platform is to provide a single, comprehensive environment for managing and deriving insights from data, and to enable organisations to make data-driven decisions.
Unleash the full potential of your data with a Modern Data Platform
How will a Modern Data platform help your organisation
A modern data platform can help an organisation in several ways.
Establishes a central repository for storing and managing large volumes of data, which can help improve data governance and ensure that data is accurate, consistent, and accessible to the right people. This can help organisations to make better use of their data and avoid costly errors or inconsistencies.
Enables a range of analytics and visualisation tools that can help organisations to extract insights from their data and make data-driven decisions. This can help organisations to improve their operations, drive innovation, and gain a competitive advantage.
Integrate data from a variety of sources, both within and outside the organisation, which can provide a more complete and accurate view of the organisation's data. This can help organisations to better understand their customers, markets, and operations, and to develop more effective strategies.
Helps organisations comply with various data-related regulations and standards, such as GDPR, HIPAA, and others, by providing tools and processes for managing and protecting data.
How do we help implement a Modern Data Platform
With our technical expertise underpinned by our Values and Culture, our consultants provide valuable expertise and support to help your organization get the most out of its Modern Data Platform, by:
Providing expert advice and guidance on how to design, implement, and optimise the modern data platform. This can include recommendations on technology choices, data management best practices, and data governance processes.
Helping your organisation to develop and implement a data strategy that aligns with your business objectives and priorities. This can include identifying key data sources and use cases, as well as developing a roadmap for implementing the modern data platform.
Assessing and improving organisational data quality and integrity, which is critical for ensuring that the data platform provides accurate and reliable insights.
Identifying and addressing any technical, operational, or organisational challenges that may be hindering the success of the modern data platform.
Elevate your decision making
Technology Partnerships
Snowflake is a cloud-based data platform that provides a range of services for storing, querying, and analysing data. It is built on top of a cloud-native architecture that uses a scalable, modular, and extensible design, which enables it to support a wide range of data workloads. Snowflake provides a fully managed service, which means that it takes care of all the underlying infrastructure and management tasks, such as provisioning, scaling, patching, and backups.
The platform supports all types of data workloads, including Data Applications, Data Engineering, Data Science, Data Lake & Data Warehousing, which allows organisations to focus on their data and analytics, rather than on managing multiple & disparate data technology platforms. It is also designed to be highly secure and compliant, with support for multiple security protocols, data encryption, and fine-grained access controls.
Coalesce is a "low code, no code" transformation tool built specifically for Snowflake. Coalesce is the "T" in ELT and the only cloud-based tool specifically designed and optimized for automating data transformations on Snowflake.
Their easy-to-use GUI defines the transformations and Coalesce automatically generates all the Snowflake code. You get standardisation, complete flexibility, and scalability, with out-of-the-box code templates for native patterns. Their architecture means every user action generates and leverages column-aware metadata, coupled with rich data lineage and documentation functionality, coupled with enterprise-level deployment built-in and Git integration.
Microsoft Azure is a cloud computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services. It provides a range of cloud services, including computing, storage, networking, and analytics, which can be used to build and run a wide variety of applications and services.
Azure offers a flexible and scalable platform that can be used to develop and deploy applications in a variety of languages and frameworks, including .NET, Java, Node.js, and Python. It also integrates with a range of tools and services, such as Visual Studio, GitHub, and Docker, which can be used to build, test, and manage applications.
Azure is designed to be secure, reliable, and globally available, with a network of data centers located around the world. It is also designed to be open and interoperable, with support for a wide range of operating systems, frameworks, and tools.
Microsoft Power BI is a suite of business analytics tools that helps organisations to visualise and analyse data. It includes a range of tools and services for creating and publishing interactive data visualisations, as well as tools for connecting to, transforming, and modelling data.
Power BI is designed to be user-friendly, with a drag-and-drop interface that makes it easy to create and share professional-looking data visualisations. It also integrates with other Microsoft products and services, such as Excel and Azure, as well as with a range of third-party data sources, such as databases, web services, and online platforms.
Power BI is available as a cloud-based service, as well as a desktop application, and can be used to create a wide range of data visualisation s, including charts, graphs, maps, and dashboards. It is often used to gain insights from data and make data-driven decisions.
ThoughtSpot is a business intelligence and data analytics platform that enables users to search, analyse, and visualise data in a self-service manner. It offers a range of features and tools, such as data modelling, dashboarding, and predictive analytics, to help businesses make informed decisions based on data-driven insights. ThoughtSpot also provides integration with a variety of data sources, including databases, data warehouses, and cloud-based storage systems, to enable users to easily access and analyse data from multiple sources.
Insights at the speed of thought.
ThoughtSpot works by providing users with a search interface that allows them to enter queries in natural language, similar to how they would ask a question to another person. The platform then translates these queries into structured search criteria and executes them against the underlying data sources.