Data Platform Airlift21 de Outubro \\ Microsoft Lisbon Experience

Cortana Analytics SuiteAndré Mestre

Data Platform Solutions Specialist

Microsoft

Beyond business intelligence

Source: Gartner

Traditional BI Advanced Analytics

VA

LU

E

DIFFICULTY

Predictive

Analytics

Prescriptive

Analytics

Diagnostic

Analytics

Descriptive

Analytics

How can we

make it happen?

What will

happen?

Why did it

happen?

What

happened?

EXAMPLE SOLUTIONS

Business problems we’re solving now

EXAMPLE SOLUTIONS

How do I think about the availability of Cortana Analytics?

24

Cortana Analytics Suite is a SKU

This is Karl.

Karl owns a company that

operates vending machines in

Washington.

His job is to make sure that his 100

vending machines are selling drinks &

obtaining revenue.

Karl wants revenue to always be

high & his business to

be profitable

Sadly, vending machine will

occasionally break & may take up

to 7 days to fix, thus hurting sales.

To eliminate this occurrence, Karl must maintain

operations & figure out the best way to utilize

resources in order to optimize revenue.

3. Which machines will soon fail?

1. Which machines have lost sales?

2. Which machines have failed?

Cloud

Stream Analytics

API Link

Event Hubs

Data Factory

Azure Machine Learning

Power BI

Excel

Field Data

Microsoft

Azure

Storage

• Damage is reported by customer

or during weekly restocking

routes

• Technician must be scheduled

to investigate

• Process take up to 7 days to fix

a broken machine

• Sensor data is used to monitor

cooler condition in real-time

• Broken coolers are identified

at time of failure

• Lost sales remain due to

maintenance lead teams

(parts & repair technicians)

• Azure ML predicts where, when,

& what failures will occur based

on sensor data

• Spare parts & repairs can be

scheduled before machines shut

down leading to no lost sales

CURRENT SCENARIO REAL-TIME SENSORS SENSORS & MACHINE LEARNING

Days: Days:Days:

With the visualization prowess of Power BI, business

owners can easily examine the performance of their

entire company.

The Internet of Things and Stream Analytics connect data

directly from the source to a dashboard to constantly

track anomalies and asset performance in real-time.

Azure Machine Learning catches the problem before it

becomes a problem. It streamlines operations without

wasting resources.

Karl is a happy man!

We wanted to go beyond

the industry standard of

preventative maintenance,

to offer predictive and even

preemptive maintenance.

Andreas SchierenbeckCEO, ThyssenKrupp Elevator

http://www.microsoft.com/en-us/server-

cloud/customer-stories/Thyssen-Krupp-Elevator.aspx

Advanced Analytics Trainings

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2016 CTP 2.4http://aka.ms/trysql2016

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