Design Thinking Approach for Analytics by "Niyati Shah" from "BMC" . The presentation was done at #doppa17 DevOps++ Global Summit 2017. All the copyrights are reserved with the author
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Agenda
Define Analytics
Business use of Analytics
Case Study
Approach for Analytics Development
Design Thinking Approach
Benefits of Design Thinking Approach
Summary
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What is Analytics?
Analytics is the process of :
Information Discovery
Interpretation
Communication of meaningful patterns in data
Arriving Business Decisions
The fastest way to find a needle in the haystack is to reduce
the size of the haystack.
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Business Use of Analytics
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Analytics Development - How it is
Different
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Analytics use case
Fraud Detection
o Track user login
o Identify the pattern
o Based on outlier/spike identify malicious
login/activity
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Failed user Login – Data Set
Time No of Failed Login
Attempts
Standard Deviation Percentile
Hour 1 10 - -
Hour 2 14 12 10
Hour 3 12 12 12
Hour 4 15 12.75 12
Hour 5 20 14.2 14
Hour 6 500 95 15
Hour 7 80 93 15
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Flow for Analytics Development
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Design Thinking Core
Desirability ,Feasibility, Viability
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‘Design Thinking’ Approach
Think Big, Act Small, Fail Fast, Learn from End user and Refine
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Benefits of ‘Design Thinking’ Approach
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Q & A
Reach me@
niyati.shah27@gmail.com
https://www.linkedin.com/in/niyati-shah-1028a51b/
Notas do Editor
raw data-> information -> pattern
Data Valocity, Variety, Volume, value
Empathise: Understand the problem by discussing it with experts, get understanding of environment, this will make sure, individual assumptions are kept aside.
Define: Define the problem statement.
Ideate: How the problem will be solved. To identify new solutions to the problem statement you’ve created, and you can start to look for alternative ways of viewing the problem.
Prototype:The solutions are implemented within the prototypes and, one-by-one, they are investigated and either accepted, improved and re-examined, or rejected on the basis of the users’ experiences
Test:the results generated during the testing phase are often used to redefine one or more problems and inform the understanding of the users, the conditions of use, how people think, behave, and feel, and to empathise. Even during this phase, alterations and refinements are made in order to rule out problem solutions and derive as deep an understanding of the product and its users as possible.
Using governance and automation techniques to optimise collaboration across development and operations to enable faster, more predictable and more frequent deployments to market”.
From a cultural perspective these methods are meant to bring the customer or business stakeholder closer to the IT organisation through closer collaboration and by making delivery less black box and more white box.