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09 March 2018 Perth

V:InspireTM

Microsoft Event

TMV:Inspire

What are we going to discussWhat is your time being spent on?

- IoT: Accelerating the mundane. Simple monitoring to Command and Control.

- Data Science: Getting real returns. Attracting and retaining the best, proactively managing cash flow.

- Adding Value: Path to high value usage.- Tools to get the job done: Data Lakes, Data Bricks and some

Pythons.- What it all really means: Some scenarios

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IoT and Data ScienceLets make it real

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What do we really mean?

Internet of Things (IoT)• Monitoring

• Simple is best• You don’t know until you measure

• Command and Control• Automated action• Automated workflow

Is it all just marketing?

Data Science• Adding value with what you

already have• Identifying opportunities you

didn’t know existed.• Worldwide examples

• Predictive maintenance

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MonitoringLet’s see what it looks like

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Command and ControlLet’s see what it looks like

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Real examples

- 15,000 rooms- Electricity and damp a big

concern- Smart Rooms

What does this look like in the real world?

- Decrease emissions with Smart Bins

- Predictively manage fuel and water

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Adding value

Making it count

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Adoption is King!

Key considerations• Increasingly, people in decision

making roles expect to make quick timely decisions.

• Mobility is key• Stories drive value

It doesn’t mean a thing unless it can be used.

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How can we address these points?

Approaches• Embed outcomes back into

business processes.• Alert driven insights• Turn reports into actions• Use common business tools to

surface contextual data

What do we need to do to gain traction

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Hints and tips we’ve seen succeed

Approaches• Ongoing training in Power BI• “PBI Genius Bar”• Iterative approaches to development• Staged pipeline of delivery to drive

adoption upfront.• Flashy isn’t always best.

What are others doing to drive adoption above and beyond?

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Turning insight into action: ExampleUsing Power BI to drive actions

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Modernising the data estateA change for the better

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The Data Estate business processWhat is a Data Estate and how does it work?

Acquire

Store

AnalysePresent

Utlise

Cloud On-premisesHybrid

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Data Estate – The Microsoft componentsWhat makes up the estate

AQUIRE STORE ANALYSE PRESENT UTILISE

Data Lineage: Data Classification: Master Data:

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Data Estate – The components – your worldWhat makes up the estate

AQUIRE STORE ANALYSE PRESENT UTILISE

Data Lineage: Data Classification: Master Data:

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Key points of consideration

Key Points• What will you enable?

• What is each item really good at?

• What are the drivers for change?

• Trying is no longer an expensive exercise.

How do I build a sustainable data estate?

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How?How could I go about moving forward?

Identify Opportunities Proof of Value Enterprise Solution Ensure Value

• Identify problems and opportunities;

• Why do it: Assess High Level value of each opportunity in supporting strategic objectives

• What would be involved: Assessing High Level delivery effort

• Why do it: Assess the impact of not doing something

• How would we do it: Consider high level solutions

• What would it look like: Identify many ways of addressing the problem/ opportunity

• Test Connectivity• Is it possible: Assess the do-ability• Which one: prioritise

• Build the solution and profile the data from the device;

• Confirm bi-directional communication (where relevant);

• Try and solve the problem;• Re-use existing patterns;• Try new ones• Fail quickly and cheaply• Define the gap between what is found

and what is valuable – is it still worth doing

• Identify the gap between what is done and what is needed to achieve maximum value – people, process and technology

• Assess the impact to business processes and what will impact adoption

• Re-assess forecasted value• Prioritise against strategic objectives• Define how the outcomes would be

used in a business process

• Change management in place• Business processes are changed/adapted to

ensure returns on investment• Those using the capability are trained not

only in how to use it, but how it fits into their business processes

• The skills to support the capability are in place

• A continuous improvement cycle is in place• Enterprise technology is used to ensure minimal

Total Cost of Ownership.• DR in place• BCP in place• Re-user is applied where possible• Data is secure• Ensure standards are fulfilled

• Longevity is assured• Design focuses on the future whilst

delivering for the present• Industry examples are leveraged to get

maximum value

• Track benefits;• Regularly review

models• Identify better ways of

achieving the same outcomes or improved outcomes

• Leverage what is done in the next opportunity

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Data Estate – Delivering for success - DevOpsHow do we technically deliver to succeed

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Making the change

Why change and what stands in the way?

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Compelling events for change

- A sudden recognition of being left behind in the market.

- Identification of a game-changing way to win in the market.

- Regulatory and/or policy challenges.

- The change in customer and decision maker demographic.

Organisational differences. Who’s interested in what?

Events

- Large investments in legacy tech and skills.

- Lack of understanding of what can be done and how quickly.

- Lack of sponsorship

- It’s too accessible

Common challenges

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Moving forward

Get someone to show you

Try, try, try

Embrace the desire for growth.

Attach and track value

How do we take the first step

© 2018 Velrada Capital Pty Ltd. All rights reserved.The information contained herein is for informational purposes only and represents the current view of Velrada Capital as at the date of the presentation. Velrada Capital cannot guarantee the accuracy of any information provided after the date of this presentation. Velrada Capital makes no warranties, express, implied or statutory as to the information in this presentation.

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