telerik analytics what kind of analytics is application analytics? november 6 th, 2015 eigil...

Telerik Analytics

What kind of Analytics is Application Analytics?

November 6th, 2015

Eigil Rosager Poulsen – Telerik

eigil@telerik.com

© 2015 Progress Software Corporation. All rights reserved.2

A few words about me

Eigil Rosager Poulsen

M.Sc. Computer Science

Founded EQATEC – that created EQATEC Analytics

Telerik acquired EQATEC in Feb 2013

Product manager for Telerik Analytics

Live in Copenhagen

I need to catch a ferry tonight, so you’ll see me running at 17:00

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A few questions to the audience

How many are active programmers?

How many do OE/ABL development?

How many have received direct feedback from your end-users this week?

How many have received direct feedback from your end-users this year?

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What is Analytics?

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Google Trends data

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Google Trends data continued

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Google Trends data continued

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Google Trends data continued

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What is “application analytics”?

Introduction through the history of Telerik Analytics

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EQATEC: our problem back in 2008

Did our users like the product?

Limited information sources: Support questions

The occasional “fan” email

Basically we knew nothing – so what to do?

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2008: application analytics v. 0.1

Red: usage (app execution) Blue: downloads Yellow: registrations

“F5 addictiveness”

Little information but much better than nothing

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2009: A new analytics market?

Nov 2005: Google Analytics Very few did application

analytics for thick clients So we decided to fill the gap

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Feb 2013 – Telerik acquires EQATEC

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2015: Telerik Analytics today

HTML5

Kendo UI controls

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Dec 2014 – Progress acquires Telerik

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2015: PDSOE 11.5

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PDSOE & Telerik Analytics

May 2015 October 2015

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PDSOE & Telerik Analytics

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PDSOE & Telerik Analytics

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Telerik Analytics – deep(er) diveCode examples, data formats and more

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How does it work?

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Development Platforms Supported - Monitors

Application types:• Mobile (native, hybrid, web)• Desktop• Web

Implementations:• C++• C#• Java• JavaScript

API• Uniform for all platforms• Small footprint and very low performance impact• Supports off-line data collection

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How to integrate the monitor in a C# app

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Data on the wire

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Examples of default monitor data collected

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Tracking custom metrics – Feature Usage

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Tracking custom metrics – Feature Timing

End of method “MainForm_shown”

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Tracking exceptions

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Session details

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Time for a demo

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Ask yourself a few question…

What do you personally know about your end-users and customers?

Facts?

Second-hand information?

Gut-feelings?

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Customer Case Study

One of the World’s leading hearing aid manufacturer

Monitoring 93,000 hearing clinic PC apps

Before Telerik Analytics

Planned to reimplement a 75 man year legacy application

With Telerik Analytics

Exact feature usage measurements uncovered that 25% of application was very seldom used

Result:

25% of a 75 man year project eliminated

$3.4 million (US) in savings

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Modernization – two questions

How to modernize?

EMEAPUG Challenge 2015 hopefully has provided you with many good suggestions and shared experience.

What to modernize?

Everything? Probably quite expensive…

Which parts then? Use Telerik Analytics to

measure what is most used Start with those parts

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How can you try Analytics?

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For those developing in ABL

We currently consider to support OE/ABL with Analytics – if you are interested then please let us know!

eigil@telerik.com

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For those developing in Java, C++, C#, JavaScript, etc

Go to www.telerik.com

Click Telerik Platform

Sign up to a free trail

Or simply write to sales@telerik.com and ask for a Telerik Analytics trial account

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Questions!

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Thank you for your attention!Reach out to me: eigil@telerik.com