Data solutions

Whether your business is expanding, or you are going through a process of stabilisation, our goal is to ensure your data is handled effectively, both now and in the future.

NashTech helps you realise the untapped potential of data and transform information into knowledge, to effectively optimise your business value. Data is a fundamental asset for your organisation, that allows you to function in a digital world. At NashTech, we understand that managing and leveraging data is not always straightforward. Using our experience and scale, we create and execute a comprehensive and integrated data strategy that will be at the very heart of your organisation.

Data strategy and analytics

Digital analytics advancements over the past decade have revolutionised commercial operations. Advanced analytics is now essential in many organisational tasks, including marketing, pricing, customer service and manufacturing. But, at least for now, the same cannot be said to be true of strategy. While strategy development will always require creative and thoughtful executives to set aspirations and make bold choices, analytics tools can give you an edge.

At NashTech, we leverage our data architecture and data management competencies to help you understand the current state of your data ecosystem and its maturity, build capability and skills, embed the processes, and implement the technology platforms and tools required to organise, control, and govern your data.

We work with you to address any short-term needs and provide a roadmap for your future requirements based on your goals. Whether through new green-field data platforms or migration from legacy, we create a data architecture that is structured and well-defined, ensuring your data continues to be an asset as your business grows.

Data consulting and strategy

Data governance

Modern data governance is a strategic and cooperative practice that allows organisations to be aware of their data, comprehend its significance in a business context, and maximise its quality, security, and value. Data governance is necessary for successful data-driven projects such as digital transformation. Companies now have the chance to collect enormous quantities of varied data, but with that opportunity also comes the responsibility to have the discipline to maximise data value.
Data governance

Data and digital platforms

Companies may create data and a digital platform that offers three to five times the value in half the time and at half the cost instead of starting a costly multi-year IT change. Companies can enable new digital services and modernise their core IT by using the NashTech data and digital platform, both of which are essential for the success of a digital transformation.

At NashTech, we think that a successful digital transformation necessitates separating the data layer from legacy IT to prevent businesses from being compelled to upgrade their ERP systems simultaneously, which would be costly, time-consuming, and unsafe. Companies may scale up new digital services more quickly while upgrading their core IT when integrating data and digital platforms, isolating the data layer from traditional IT.

Thanks to numerous advancements in SaaS, PaaS, cloud solutions, low code platforms and the open source community, it has only lately become practical to construct the digital platform and smart business layers separately from the existing core.

Data digital platforms

Database management

At NashTech, we know that being able to respond to data requests quickly and reliably is absolutely core to your business, and the key to this is to ensure your data stores are well maintained and well managed.

Our skilled team will deliver and operate data platforms that allow you to create reliable and trusted operational reports in the context of your individual business needs. Whatever your data sources, we will create a solution that can collate all of them quickly and reliably and then fine-tune it to be a responsive, secure, single source of truth, ensuring timely and accurate reports are consistently delivered.

This is an absolutely core service within the data space. The ability of a database to respond to requests quickly and reliably is the very heart of a business’s services. This allows us to begin by taking a set of completely different data sources (such as spreadsheets, APIs, or other databases) and create a database that can feed from all of them. We then tune this database to be as responsive as possible based on the type of queries it will respond to.

  • API data ingestion
  • Spreadsheet data ingestion
  • Database performance tuning
  • Data security compliance
  • Data containerisation
Database management

Data mesh

Data Mesh is a strategic approach to modern data management and a strategy to support an organisation’s journey toward digital transformation. Data Mesh’s primary goal is to advance beyond the established centralised data management techniques of using data warehouses and data lakes. By giving data producers and data consumers the ability to access and handle data without having to go through the hassle of involving the data lake or data warehouse team, Data Mesh highlights the concept of organisational agility. Data Mesh’s decentralised approach distributes data ownership to industry-specific organisations that use, control and manage data as a product.

From the technology side, NashTech’s view on the data mesh involves three important new focus areas for data-driven architecture:

  • Tools that provide data products such as data collections, data events and data analytics
  • Distributed, decentralised data architectures that support businesses who choose to move away from monolithic architectures in favour of multi-cloud and hybrid cloud computing or who must conduct business in a globally decentralised manner
  • Moving away from batch-oriented, static, centralised data and toward event-driven data ledgers and streaming-centric pipelines for real-time data events that enable more timely analytics

Other significant issues, like strong federated data governance models and self-service tooling for non-technical users, are just as crucial for data mesh architecture as they are for other, more centralised, and traditional data management approaches.

Data mesh

Data lake

The concept of a data lake is to store structurally and spatially heterogeneous data sources with complex storage modes reliably. These data sources would then be accessed anytime to help support your optimal business decisions.

A data lake is practically synonymous with a modern data warehouse. As end-users face larger and more complex challenges set by innovations and the progress of technology, which in turn impose new demands on data storage systems, making the evolution of data processing and storage an inevitable next step in keeping up with such developments.

This shift in ‘big data‘ has resulted in new and conceptually different approaches to data storage – storing all types of data in a single location regardless of size and complexity, using increased computing power with massive parallelisation and distributed processing. This approach allows customers to process large amounts of data in a negligible amount of time and with a minimal load to current systems.

Data lake

Data warehousing

In a world of increasing complexity and competition, we recognise the importance of extracting the right information from your data and fully leveraging its power.

Having a single, trusted source of aggregated and summary data is critical; by enhancing the quality and consistency of that data, you will be able to improve business intelligence and decision making and ensure your organisation maintains its competitive advantage. At NashTech, we recognise the advantages of a cloud-first approach to data warehousing and data lakes and are well-versed in the solutions provided by major cloud vendors. Our experience and expertise will allow you to avoid the common pitfalls and apply best practices to leverage the scalability of cloud-native platforms, gaining an advantage in flexible pricing, storage and data warehouse performance.

With multiple different huge data sources, it is often the best idea to leave the data sources in place and instead house them as a data warehouse or a data lake, depending on how the data will be used. Most modern systems deploy these on the cloud to better manage growth and reliability. The ability to set these up in a way to be able to handle the sheer scale of the datasets best is a key area of concern for the deployment of this type of solution.

Data warehouse

Frequently asked questions

Data consulting is the process of analysing a business’ data management processes. Data consultants will advise clients on how to manage their data in the best possible way. A tailored and methodical approach is often used.

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