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Data Analytics → Demystified

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Presentation on theme: "Data Analytics → Demystified"— Presentation transcript:

1 Data Analytics → Demystified
Patrick Doyle, Global Public Safety Practice Manager Disruptive Trends in Public Safety Technology Symposium May 23, 2017

2 What Does Data Analytics Do?
“Finds usefulness in the otherwise not obvious among everyday life.”

3 The Big Gear is Answers Data

4 The Second Gear is the Question
Analytics

5 The Third Gear is the Correct Answer
Data Analytics Answer

6 1. 7/8 – 5/8 = 2/8 X -2 points Divide to simplify! 2/8 = 1/4
Remember This? Grade 4 Math Homework 1. 7/8 – 5/8 = 2/8 X -2 points Divide to simplify! 2/8 = 1/4

7 Data Analytics: Not so Scary After All
Understand the Business Issue Scope the Data Exploratory Analysis Define Variables Validate Definitions Preliminary Statistical Analysis Create Models and Methods Test and Create Product Measure, Monitor, Reexamine

8 Don’t be intimidated: It Isn’t Magic – It’s Method
- Update Infrastructure Create Data Products Monitor, Measure, Analyze and Improve Join the raw data in Hadoop to a single de-normalized table Validate de normalized columnar table definitions Dashboards ETL Analysis as Tableau, Decision Point Create Models Predictive Analytics Statistical Analysis Define Variables Regression and Clustering Check Models Understand Business Issue Map Data Sources (Structured, Unstructured, Frequency, Availability, etc.) Manual Discovery and Understanding Ingest Multiple Data Sources Join Raw Data into a Single Denormalized Table Validate Denormalized Table Definitions EDA (Exploratory Data Analysis) Preliminary Statistical Analysis using R, Python, SAS, Spark, etc. Identify Variables Relevancy Define Samples Create and Define Variables Choose Statistical Methodology (Predictive, Linear Regression, Clustering, Bayesian, etc.) Run Models Test Models using Best Methodology Decision Point BI Analytics Data Warehouse Visualization Tools Create Data Product Dashboard Predictive Analytics Prescriptive Process Validate Data Product Production Implementation Create Data Products into Production Create Web Service REST API Monitor, Measure Implementation Modeling & Analytics Analytic Design & Data Exploration Key Finding Questions for Your Answers

9 It’s About the Data!

10 Questions You Can Ask Your Answers:
DID IT IS IT WILL IT What is happening? Why does something happen? How does it happen? To whom does it happen? Does it happen only when something else happens, or doesn’t happen? Can I prevent it from happening?

11 Advanced Data Analytics Example
Protection against potential threats to the US while facilitating commerce and people-flow through our nation’s border crossings. Daily: Largest Oracle data warehouse in the world 1.3 billion transactions One million passengers and pedestrians 700,000 unique queries 65,000 truck, rail, and sea containers Seizes 13,717 pounds of drugs 600 USDA interceptions 470 refusals of entry at our ports of entry 61 arrests of criminals at ports of entry Data Analytics Answer

12 Complex Processes Reveal Powerfully Simple Answers.
Unisys Analytics: Complex Processes Reveal Powerfully Simple Answers.


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