Big Data Analytics: Visualizing the Future in the Aftermarket

Slides:

Advertisements

Similar presentations

The Status of Technology Today (in 30 min) AmeriCorps National Best Practices Conference May 6, 2009 Galen Panger, Google for Non-Profits.

Advertisements

Geographical Perspectives on Business Analytics with Applications in Construction Supply and Automotive Colorado State University - Pueblo Justin Holman,

Ensuring big data is supporting financial analytics Gaining a thorough understanding of big data in order to understand analytics Transforming unstructured.

R and HDInsight in Microsoft Azure

SAS solutions SAS ottawa platform user society nov 20th 2014.

Observation Pattern Theory Hypothesis What will happen? How can we make it happen? Predictive Analytics Prescriptive Analytics What happened? Why.

Summary of “New Ways to Exploit Raw Data May Bring Surge of Innovation, a Study Says” Steve Lohr, New York Times, May 13th, 2011 Presented by: Zhe Jiang.

TOPIC 1: GAINING COMPETITIVE ADVANTAGE WITH IT (CONTINUE) SUPPLY CHAIN MANAGEMENT & BUSINESS INTELLIGENCE.

Business Analytics, Part I Introduction Presented by Scott Koegler Editor, ec-bp.org.

Copyright © 2012, SAS Institute Inc. All rights reserved. BIG DATA ANALYTICS FOR DEVELOPMENT.

Basic Marketing Research Customer Insights and Managerial Action

Chapter 16 Building the Data Mining Environment. 2 The Ideal Customer-Centric Organization Customer is king (not pauper) For B2C (business to consumer)

Optimize your Open Data 5 Best Practices for Designing Data-Driven Apps Glenn Hess Federal Sales Engineer Actuate, Inc.

The Web-based budgeting and planning solution from FRx Software Photo: DigitalVision Jim Boyer, Sr. Consultant

Statistics for Business and Economics Chapter 1 Statistics, Data, & Statistical Thinking.

© 2010 IBM Corporation Business Analytics software Business Analytics Editable Text Editable Text Editable Text.

MAPS. Dr. John Snow’s Cholera Map of London

Business Analytics Skills

Big Data: Electronic Gold And why Oreus should invest in Big Data Thomas Snuverink.

IoT Meets Big Data Standardization Considerations

Copyright © 2016 Pearson Education, Inc. Modern Database Management 12 th Edition Jeff Hoffer, Ramesh Venkataraman, Heikki Topi CHAPTER 11: BIG DATA AND.

Big Data Javad Azimi May First of All… Sorry about the language  Feel free to ask any question Please share similar experiences.

Our Mission To drive sales for our clients through best in class data design, analytics, and actionable insights in a product that is customized for their.

@nmoneypenny Innovating New Products & Services with Enterprise Social Graphing: Naomi Moneypenny.

MarketsandMarkets Presents MarketsandMarkets Presents Customer Experience Management Market Expected to Reach $6.61 Billion by 2017 Customer Experience.

© 2016 Global Market Insights, Inc. USA. All Rights Reserved Global Internet Of Things Market Analysis & Forecast, 2017–2024: Global.

Business/Data Analytics Organizational & Strategic Opportunities

Big Data in Technical and Vocational Education (TVE)

Data Analytics 1 - THE HISTORY AND CONCEPTS OF DATA ANALYTICS

The Self-Service Business Intelligence Suite

Media Growth Summit, April 6, 2017

Cloud University Live: 8 Steps to Build Your Cloud Go to Market Plan

Challenges and opportunities for the CFO

Viewing Data-Driven Success Through a Capability Lens

Identify and Meet a Market Need

<insert supplier name here>

BIG DATA IN ENGINEERING APPLICATIONS

Data mining and real systems modeling

UNIT – V BUSINESS ANALYTICS

WEBINAR The Rise Of Insights Services

Next Generation cargo ERP Enterprise Resource Prediction

Information Systems in Organizations 4

Indiana University SCOOPS

American Brush Manufactures Association

BUSA 3110 Statistics for Business Spring 2014 – Week 1

<insert supplier name here>

DeFacto Planning on the Powerful Microsoft Azure Platform Puts the Power of Intelligent and Timely Planning at Any Business Manager’s Fingertips Partner.

Chapter GS Getting Started.

Information Systems in Organizations 4

Analytics Organizational & Strategic Opportunities

Big Data Young Lee BUS 550.

Chapter GS Getting Started.

Mapping your way to Profitability

Start Your Own Consulting Practice

Course Introduction CSC 576: Data Mining.

Chapter GS Getting Started.

Welcome! Knowledge Discovery and Data Mining

Data Analysis and R : Technology & Opportunity

What, Why, How and When to Incorporate into Your Course

Finance strategy Project support overview.

Management reporting Project support overview.

Chapter GS Getting Started.

CSE591: Data Mining by H. Liu

This presentation was developed by Dr. Steven C

6 strategies to drive growth in a startup environment

Business/Data Analytics Organizational & Strategic Opportunities

Lesson 3.2 Product Planning

Public Safety Analytics Market Research Report By Forecast to 2023 Industry Survey, Growth, Competitive Landscape and Forecasts to 2023 PREPARED BY Market.

Presentation transcript:

Big Data Analytics: Visualizing the Future in the Aftermarket Justin O. Holman, Ph.D. September 21, 2015 www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Agenda What is Analytics? What is Big Data? What does the Future hold? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

What is Analytics? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics is a Hot Topic Google Analytics = Web Traffic Reports www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics is a Hot Topic IBM analytics for connected cars www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics is a Hot Topic www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics is a Hot Topic In Sports and in the Movies www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

So, what is Analytics? Web traffic tracking system? Dashboard? Reporting tool? Buzzword? Temporary Craze? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Defined Analytics is a set of data analysis categories www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Data Analysis Categories Descriptive Exploratory Inferential Experimental Predictive Prescriptive www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Categories Descriptive > Exploratory Inferential Experimental Predictive Prescriptive Reporting Summarizing Measuring www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Categories Descriptive Exploratory > Inferential Experimental Predictive Prescriptive Looking for ... Patterns Opportunities Vulnerabilities Relationships www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Categories Descriptive Exploratory Inferential > Experimental Predictive Prescriptive Estimate population parameters based on sample statistics Surveys Customer Loyalty Program www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Categories Descriptive Exploratory Inferential Experimental > Predictive Prescriptive Testing for ... Significance Confidence Level Quality Control www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Categories Descriptive Exploratory Inferential Experimental Predictive > Prescriptive Forecasting Simulation www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Analytics Categories Descriptive Exploratory Inferential Experimental Predictive Prescriptive > Optimization www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Aftermarket Applications Descriptive - Category Management Metrics Exploratory - Visualization of VIO Inferential - Consumer Surveys Experimental - Quality Control testing Predictive - Repair/Demand Forecasting Prescriptive - Inventory Optimization www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

What is Big Data? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Big Data: In the news www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Volume Velocity Variety Take #1: Lots of Data Fills up your servers, crashes hard drives, difficult to manage Volume Sensor collection, streaming data, Twitter feed: coming at you fast Velocity Numerical, Graphical, Social Media, Text. Etc Variety Sources: Gartner, IBM, Opex Analytics www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Take #2: Overwhelming In his book, Bill Franks defines Big Data as an amount of data that overwhelms existing systems This definition recognizes new technology will be developed, but data volume will continue to grow. www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Take #3: Buzzword www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Big Data = Too Much for Excel My Take: Big Data = Too Much for Excel Relational Databases. Not flat files! Programming & SQL. Not V-Lookups! Data Scientists. Not Excel Jockeys! www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Aftermarket Impact Opportunities for Competitive Advantage: Change IT culture From gatekeepers To innovators Investment in Personnel From Server/PC Technicians To Data Scientists Migrate to the cloud Outsource your data farm Safer, more accessible in the cloud www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

What does the Future hold? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Big Data Analytics Outlook Data Volume will continue to grow Computing Power will continue to improve Software will improve also, but lag behind Cloud Migration will accelerate Excel use will slowly decrease Data Visualization will grow in importance www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Big Data Analytics Focus Data Volume will continue to grow Computing Power will continue to improve Software will improve also, but lag behind Cloud Migration will accelerate Excel use will slowly decrease Data Visualization will grow in importance www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Why Visualization? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Why Visualization? Patterns Participation www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

John Snow: Broad Street cholera outbreak of 1854 Map of cholera cases helped identify the water source Pattern was only detectable with a map Would Dr. Snow have found the source with a spreadsheet? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

John Snow: Broad Street cholera outbreak of 1854 www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Businesses try to find the source of problems with spreadsheets www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

See any patterns here? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Would the US Military plan for war with spreadsheets? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Could the US Military collaborate effectively with spreadsheets? www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The table map allows everyone to participate in the decision process www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The power of visualization: an example Participants: Branch Management Finance Team CEO Problem: Strong revenue but low profit margins www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The power of visualization: an example Finance Presentation Revenue and Profit by branch location Lots of acronyms like EBITDA, IRR Rows and Rows of data in Excel www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The projector looked like this: no patterns www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The power of visualization: participation Limited Progress CEO can see Branch Managers are frustrated But they’re not participating CEO wants input from boots on the ground But they don’t speak finance The meeting moves on to analysis of outbound delivery and transportation costs... www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Another Example www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Another Example www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The power of visualization: participation Lively Discussion Clearly branches delivering all over the market, in Atlanta traffic. Branch Managers now on their feet. Pointing at the screen Participating the analysis www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

The power of visualization: seeing is believing Problem Identified New compensation program rewarded revenue growth, not profit Branch Managers had no incentive to share delivery responsibility. CEO marching orders: Branch Managers to coordinate delivery Finance to revamp compensation program www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Wrap Up Analytics: Ask “what type” of data analysis? Big Data: Too big for Excel Future: More data, more analysis, more pressure to compete using analytics Visualization: Why? Patterns and Participation www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.

Thank you! Email: justin.holman@aftermarketanalytics.com Twitter: @justinholman Phone/Text: (719) 582-6555 Blog: justinholman.com www.aftermarketanalytics.com Copyright © 2015 TerraSeer, Inc. All rights reserved.