Maximise the Value of Your Data with Microsoft Azure Webinar Series
Data and AIMicrosoft

Maximise the Value of Your Data with Microsoft Azure Webinar Series

20 October 2020 to 30 March 2021

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.

Ben Murden
Ben Murden

Ben has over two decades in the IT industry, delivering both online and offline campaigns across all platforms to meet business goals and objectives. Joining Phoenix in 1999 as a graphic designer, Ben has evolved over the years into a fully-rounded marketing professional, before being promoted to Phoenix Marketing Manager early in 2018, reporting directly to the MD. With his background in creative design, Ben takes projects from inception to execution and can identify the correct strategy based on the subject, audience, and goals – while increasing the brand profile and revenue. His passion for digital marketing is evident in everything he does, and both vendors and strategic partners often comment on his incredibly positive attitude to ‘make things happen’.

See all posts by Ben Murden

Data Maturity Journey

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.

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Exploring Azure Data Services

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?

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How can an a Data Warehouse in Azure help?

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.

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Automating the creation of your data warehouse solution in Azure

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.

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Mastering your Data

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.

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IOT and the Art of the Possible

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.

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Using Machine Learning in Microsoft Azure

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.

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Meet the presenters

Ben Gannon
Data and AI Specialist at Phoenix

Andrew Edge
Data & AI Solution Lead at Simpson Associates

Dave Kirby
Data & AI Solution Lead at Simpson Associates

Chammie Ho
Senior Consultant at Simpsons Associates

Weelin Lim
Chief Product Officer at TrueCue

Bingqian Gao
Data Science Lead at TrueCue

Sam Spilsbury

Sam Spilsbury
Azure Lead at Microsoft Philanthropies EMEA

Ignacio BorregiIgnacio Borrego
Cloud Specialist at Microsoft

Zuzana LoupZuzana Loup
Data & AI Business Lead at Microsoft

Let’s talk data

If you would like to discuss any of your data requirements and find out how Phoenix, Simpson Associates and TrueCue can help you maximise your investment in your data, please get in touch on 01904 562200, email [email protected] or complete the form opposite:


About Phoenix

Phoenix enables digital transformation in the workplace, empowering UK organisations to innovate and transform with cloud and hybrid infrastructures data, AI, security, and collaboration tools. By understanding the individual goals of its customers, Phoenix delivers remarkable, outcome-focused IT solutions and services that allow UK organisations to make a difference to the lives of their employees, service users, and communities.

Phoenix is a signatory on the Race at Work Charter, and a Disability Confident and Living Wage employer. The company is also actively involved in encouraging more women into the IT industry.

 

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