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The UK Public Sector landscape is evolving in far faster and less predictable ways than ever before. Organisations of all shapes and sizes are suffering from data quality and access issues, resulting in a loss in the value that data should be creating.
Disconnected approaches add to this problem, meaning that time-consuming and repetitive efforts are required to produce valuable insights. Overall, your costs spiral out of control, benefits are limited and your organisation suffers. Phoenix, Simpson Associates and TrueCue, can show you how to efficiently maximise the value of your data – with the use of Microsoft Azure.
Join our webinar series where we will cover subjects such as your data maturity journey, Azure data warehouse, machine learning and IoT. Check out the dates and details below and reserve your place today.
If you are also looking at Power BI and how your organisation can unlock the potential of it’s data check out our Unlock the Potential of Your Data with Microsoft Power Bi Webinar Series.
Data maturity is the extent to which an organisation utilises the data they produce – the more you do with your data, the more data mature you are.
If you don’t know where you are on your journey, how can you know where you’re going? Understanding your level of data maturity and choosing to advance in your data journey is essential in achieving your organisational goals and being able to make more informed business decisions.Watch Now
Microsoft Azure offers services for a wide variety of data-related needs, including ones you would expect like file storage and relational databases, but also more specialised services, such as for text searching and time-series data. But why would you choose Azure for your data requirements?
A data warehouse is a centralised repository of integrated data from one or more disparate sources. Data warehouses store current and historical data and are used for reporting and analysis of the data. When we move data into a data warehouse, data is periodically extracted from various sources. As this data is moved, it can be formatted, cleaned, validated, summarised and reorganised.Watch Now
Building and updating data warehouses can be extremely time-consuming and costly. If you have a lot of development to do, introducing automation to data warehouse development can provide time-savings, reduce bugs and increase consistency.Watch Now
Master data management (MDM) is the effort made by an organisation to create one single master reference source for all critical business data, leading to fewer errors and less duplication of data and processes. The ability to master your data will allow your organisation to unlock more from your data like automation, artificial intelligence and IoT.Watch Now
Do you want understand how the cloud can support your adoption of IoT?
During this webinar, we will take a closer look at how Azure can be used to ingest and process data from IoT devices. We will take a closer look at IoT Hub, IoT Edge and a number of the IoT Solution Accelerators.Watch Now
Machine learning is an application of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Microsoft Azure can allow you to rapidly build and deploy Machine Learning models using tools that meet your needs, regardless of skill level.Watch Now