Data Framework

The right data framework helps organisation determine the best way to work with their data, and build a foundation for everyone – teams and systems – to manage it in the most efficient manner.

Data Architecture

Data architecture is a function which documents your company’s data environment, maps how data flows through various systems, and creates a blueprint for managing that data. The objective is to ensure that data is efficiently and accurately delivered to support business goals, analytics, governance and regulatory requirements.

In an ideal world data architecture development is the first step in your data ecosystem. But that usually isn’t the case. Whether you’re building from scratch or retrofitting your existing environment, the job of a data architect is to configure what data goes where in the big picture.

Whether it's a combination of on-premise, hybrid cloud or full cloud, data architecture plots the journey of your data through the diversity of sources that most organisation work with.

The data architect reviews and identifies potential bottlenecks and incompatibilities to engineer a landscape that will run smoothly and seamlessly. Working with your source systems, they design the framework that layers, stages and transforms data to service your reporting and analytics requirements with consistent and accurate information.

Data architecture is a comprehensive view of how your organisation utilises its data, how it is categorised, integrated and stored. It creates the foundation upon which to develop and implement total control of your data.

If you'd like to understand more about why data architecture is the cornerstone that underpins a best-of-breed data environment, let's chat.

Data Ecosystem Designers

Your data ecosystem comprises the applications, infrastructure, storage, programming languages, algorithms, and analytical capabilities of your data. Businesses of every type rely on their data to help them better understand their customers; identify trends; monitor growth, profitability and productivity; monitor regulatory compliance and governance and much more.

There is no single data ecosystem solution. Every business has its own unique data environment, constructed from a mixture of hardware and software which collects, stores, analyses, and reports business intelligence. The secret to success is a well-considered data ecosystem design which brings it all together flawlessly.

Not a set-and-forget function, as your business grows or changes,
so too should your data ecosystem.

Data ecosystems are specifically designed to evolve and keep pace with the evolution of your business. When you think about data excel spreadsheets, CMS, accounting software, and BI reporting may spring to mind. And these may comprise part of your data infrastructure, however, they are only a small part of creating a solid data ecosystem.

The process begins by identifying all data sources, evaluating the quality of the data and how it is delivered, and exploring the extent to which your current data environment meets your needs – is your data accurate, and can it be trusted.

Every element of your data ecosystem interfaces with and exerts influence over the other components. Create a solid foundation upon which to build, and you’ll unlock the power of your data to continuously drive business success.

Talk to us if you'd like to explore the benefits of an overhaul of your data environment.

Database Design

Good database design includes planning for scale as required without having to go back and reengineer because it wasn’t considered in the first place. Get your data organised and make data management easier with a database model. Easily determining what data must be stored and how the data sets and elements interrelate.

Simply put, your databases are where you store your data. Database design controls how you capture data in a methodical way so that it can be retrieved intuitively and efficiently.

To achieve that, you need properly configured database. Just a small example, text should be stored in a text field, while numerical values should be stored as numbers. Why? Because multiple combinations use a lot more computing power to store and retrieve.

Sounds simple doesn't it - but it's surprising how many databases are not designed with efficiency and speed in mind.

It’s not hard to build a database, but to do it well requires a lot of thought around the fundamentals. Our database design team will implement a user-friendly set up, with indexing to ensure your databases are well-structured, efficient and secure.

Efficient database design will have less impact on the hardware that’s storing it. For you that means better performance and less storage space.

Good design facilitates granular input of data that will return intelligent feedback. Breaking everything down into component parts expedites queries and retrieval.

A simple example of this is creating an ID key for your customers that can directly relate to and retrieve all data stored about that person across multiple platforms – website, order processing, accounting, history, personal details – even support transcripts. The system will store the data once to avoid duplication which not only wastes space, it also fuels errors and inconsistencies.

In addition, database designers often oversee hardware security and capacity, networking and the ability to scale when needed. This will ensure access queries are travelling quickly to deliver instant results.

We're happy to discuss your current database environment and show you how to future-proof the foundation for growth.