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Collecting, storing and analysing data at scale
To ignite change, you need understand the problem; to understand the problem, you need data points. In this ever-evolving technological landscape, harnessing the full potential of your data and ensuring it is both accessible and actionable is key to a successful transition of innovation and growth.
But with hundreds of potential sources, siloed knowledge of each dataset, and inconsistent data quality, there are multiple hurdles to jump over before you can even understand what’s possible.
Data is the first step in any business transformation project, but going from raw numbers to actionable insight takes skill and experience. Understanding what’s required to collect data from it multiple sources, store it neatly, before finally getting it in a format for analysis; that’s where the work of a Data Engineer becomes vital in the quest actionable insight.
Unifying data sources, creating automated pipelines and building complex conceptual models; we understand each step required to enable analysis that drive business value. Our experienced Data Engineers lay the groundwork for insight that could lead to your next breakthrough in innovation.
At Acora, we aim to be with you each step of your data transformation journey, starting with collecting and structuring your data. Our Data Engineering teams are experienced in finding the right data solution that provides you with the blueprint for your next innovation.
A significant milestone in driving innovation and shaping the future of data and AI.
The road to digitalisation has many paths. And whether you’re onboarding a new platform, reviewing your existing strategy, or just need an extra set of eyes on a specific problem, our data engineering consultancy offers a flexible range of tailored services that help at each stage of the journey. Acora has the expertise to guide you wherever the journey takes you, all the way from raw data to actionable insights.
Data coming in from all directions? Understanding its value and bringing it together doesn’t have to be complicated. Our integration solutions turn the complexity into a seamless flow, so your information is ready whenever and wherever you need it.
Efficient pipelines are crucial for success. We design and manage tailored solutions that guarantee reliable data flow, bolstered by strategic advice for maximum operational efficiency.
A tale as old as time: quality wins over quantity. Your decisions are only as reliable as the data behind them. We ensure your data is flawless from top to bottom, supporting your strategic goals with unwavering integrity.
Data modelling is the bridge between raw data and actionable insights, providing a structured framework that supports deep analysis and impactful strategies. We craft models that transform your raw data into strategic gold.
Turn data into valuable insights with advanced analytics tools, native in your data platform. We empower you to predict future trends, understand customer behaviour, and make data-driven decisions that propel your business forward.
Data is only the first step; for true transformation, you need a partner in the journey who can strategically advise and rapidly deliver expansion and improvement in every direction. As Full-Lifecycle Data & AI Specialists at Acora, we start by structuring your data landscape to serve analytics and insights from day one, ready for the next stage.
Acora’s Data Engineering Consultancy Services help you to direct and deploy a modern data strategy, ensuring your business makes informed decisions with confidence. Leveraging cutting-edge technologies from our partnerships with Microsoft and Databricks, we bring clarity and efficiency to your data landscape.
Data Engineering involves the systematic design and management of data pipelines. It transforms raw data into valuable, actionable insights by optimally processing, cleansing, and organising it. At Acora, we prioritise the creation of efficient pathways and processes to ensure your data is reliable and accessible, laying a solid foundation for analytics and decision-making.
Data Engineering is essential to the broader data ecosystem, serving as the backbone for AI and analytics initiatives. It prepares high-quality, structured data that underpins advanced analytics and machine learning models. By creating a reliable data foundation, Data Engineering ensures that AI and analytics efforts deliver accurate insights and drive strategic business decisions.
Our Data Engineers can integrate and manage a wide variety of data sources. Our expertise spans structured and unstructured data across cloud-based and on-premises systems. This includes CRM and ERP systems, IoT devices, social media platforms, relational and NoSQL databases, APIs, flat files, and real-time streaming data sources. Our goal is to unify your data landscape for comprehensive insights.
We prioritise best-of-breed technologies and platforms for data management, making sure you opt for a platform that suits your business. As Databricks Select Consulting Partners, we specialise in deploying Databricks Lakehouse Platform for enhanced data processing efficiency and scalability.
Additionally, Microsoft Fabric and Microsoft Synapse Analytics Lakehouse platforms provide us with robust, secure solutions for managing cloud-based data. Our Data Platform in a Box solutions enable fast and seamless deployment of data platforms that suit your pace and scale.
One of our highest priorities in engineering practice is the implementation of stringent security measures to protect sensitive data. Our approach includes encryption, access controls, and regular security audits to ensure data integrity and confidentiality. Leveraging Microsoft and Databricks’ advanced embedded security features and capabilities, we provide a secure environment that meets industry standards and best practices.
We’d love to hear from you.