Data is a major asset for all businesses. Just like any other asset, data must be managed to maximise its value and reduce risk.
Data is integral to very nearly any business operation you can think of. In fact, it is no exaggeration to describe most businesses as being data businesses. Data is increasingly the driving force behind modern business. For many organisations, the data has become a revenue stream in its’ own right. Therefore, loss or corruption presents a real and growing risk.
And yet, overall management of data assets lags well behind the opportunities and risks. While technology has driven advances in data storage, analytics, BI and data integration – other aspects of data management are often forgotten.
Advanced analytics needs quality data – a high-performance car also needs quality fuel. Issues in data quality can also indicate broader problems with data management in the business.
Our Strategic Data Management experts are experienced in their own data disciplines – analysts, architects, BI practitioners – but also they bring a broader understanding of all aspects of data management. It’s that broader understanding that makes them experts.
A trove of data is useless without a way to understand important aspects within.
They say a picture is worth a thousand words, but in the business sense it is also worth time saved through communication and productivity across your workforce.
Great visualisation will allow a room full of team members with different skillsets to see data with the same level of understanding. It is a communication tool that translates the complex into the very simple.
Our experts can decipher the meaning behind data, also utilising tools such as RPython, Spark, Tableau, as well as ETL tools such Pentaho and Talend. We have access to specialised technology partners also, such as data framework software company FraXses.
Utilising data is of great importance for a business, as is a storage method for all this information.
Our clients are in different phases of the data-utilisation and management life-cycle. We can pin-point where you need to invest in this journey, or even start it.
Data management at its simplest can be broken down into layers; storage, processing (or batch processing), and serving. Our experts ensure that this process is implemented and running smoothly end-to-end.
Through the management of data our experts can assist with driving down costs and improving efficiency, overall enabling a well-informed business.
Cloud computing can offer great ease and prospects to an organisation, and increasingly more are turning toward cloud computing for their data service needs.
Being agile as an organisation is important in a saturated market – and a cloud computing solutions allows for prioritisation of resources and business catalogues.
Infrastructure as a Service is disposable computing at scale. With a huge amount of processing power behind it, this virtual infrastructure allows for simple allocation of data and assets online protected by external parties. This approach means that organisations can focus on things of greater importance than issues such as storage of big data in unfathomable quantities.
On the other side of cloud computing is Platform as a Service, which looks at pre-built digital structures engineered to make digital tasks such as programming simple. This take on the cloud handles scaling and all the tricky variables, so a business can get on with the necessary tasks.
Our experts have the knowledge and skills behind implementing and maintaining cloud computing infrastructure, with experience in AWS, Azure, and the Google Cloud Platform. 460degrees also implements digital strategy initiatives to ensure any transition or maintenance is kept on track.
Massive amounts of data can be daunting. Our experts can help businesses manage and define the beneficial pieces amongst the magnitudes of information.
Big data refers to not only ginormous quantities of data, but also a large breadth of types. This can pose issues both in forms of storage and interpretation.
Our experts have been working with big data for a long time, and understand methodology for each of the three Vs – Velocity, Variety and Volume. We can sift through the noise that this presents with valuable outcomes.
We also have experience with a range of processing systems such as Spark, Hive, Hadoop, MongoDB, Talend, and so on.
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Our accomplished experts are committed to providing solutions. Get in touch with us to find out more