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The Start-Up of you.

8/21/2011

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The rise in the unemployment rate last month to 9.2 percent has Democrats and Republicans reliably falling back on their respective cure-alls. It is evidence for liberals that we need more stimulus and for conservatives that we need more tax cuts to increase demand. I am sure there is truth in both, but I do not believe they are the whole story. I think something else, something new — something that will require our kids not so much to find their next job as to invent their next job — is also influencing today’s job market more than people realize.

Look at the news these days from the most dynamic sector of the U.S. economy — Silicon Valley. Facebook is now valued near $100 billion, Twitter at $8 billion, Groupon at $30 billion, Zynga at $20 billion and LinkedIn at $8 billion. These are the fastest-growing Internet/social networking companies in the world, and here’s what’s scary: You could easily fit all their employees together into the 20,000 seats in Madison Square Garden, and still have room for grandma. They just don’t employ a lot of people, relative to their valuations, and while they’re all hiring today, they are largely looking for talented engineers.

Indeed, what is most striking when you talk to employers today is how many of them have used the pressure of the recession to become even more productive by deploying more automation technologies, software, outsourcing, robotics — anything they can use to make better products with reduced head count and health care and pension liabilities. That is not going to change. And while many of them are hiring, they are increasingly picky. They are all looking for the same kind of people — people who not only have the critical thinking skills to do the value-adding jobs that technology can’t, but also people who can invent, adapt and reinvent their jobs every day, in a market that changes faster than ever.

Today’s college grads need to be aware that the rising trend in Silicon Valley is to evaluate employees every quarter, not annually. Because the merger of globalization and the I.T. revolution means new products are being phased in and out so fast that companies cannot afford to wait until the end of the year to figure out whether a team leader is doing a good job.

Whatever you may be thinking when you apply for a job today, you can be sure the employer is asking this: Can this person add value every hour, every day — more than a worker in India, a robot or a computer? Can he or she help my company adapt by not only doing the job today but also reinventing the job for tomorrow? And can he or she adapt with all the change, so my company can adapt and export more into the fastest-growing global markets? In today’s hyperconnected world, more and more companies cannot and will not hire people who don’t fulfill those criteria.

But you would never know that from listening to the debate in Washington, where some Democrats still tend to talk about job creation as if it’s the 1960s and some Republicans as if it’s the 1980s. But this is not your parents’ job market.

This is precisely why LinkedIn’s founder, Reid Garrett Hoffman, one of the premier starter-uppers in Silicon Valley — besides co-founding LinkedIn, he is on the board of Zynga, was an early investor in Facebook and sits on the board of Mozilla — has a book coming out after New Year called “The Start-Up of You,” co-authored with Ben Casnocha. Its subtitle could easily be: “Hey, recent graduates! Hey, 35-year-old midcareer professional! Here’s how you build your career today.”

Hoffman argues that professionals need an entirely new mind-set and skill set to compete. “The old paradigm of climb up a stable career ladder is dead and gone,” he said to me. “No career is a sure thing anymore. The uncertain, rapidly changing conditions in which entrepreneurs start companies is what it’s now like for all of us fashioning a career. Therefore you should approach career strategy the same way an entrepreneur approaches starting a business.”

To begin with, Hoffman says, that means ditching a grand life plan. Entrepreneurs don’t write a 100-page business plan and execute it one time; they’re always experimenting and adapting based on what they learn.

It also means using your network to pull in information and intelligence about where the growth opportunities are — and then investing in yourself to build skills that will allow you to take advantage of those opportunities. Hoffman adds: “You can’t just say, ‘I have a college degree, I have a right to a job, now someone else should figure out how to hire and train me.’ ” You have to know which industries are working and what is happening inside them and then “find a way to add value in a way no one else can. For entrepreneurs it’s differentiate or die — that now goes for all of us.”

Finally, you have to strengthen the muscles of resilience. “You may have seen the news that [the] online radio service Pandora went public the other week,” Hoffman said. “What’s lesser known is that in the early days [the founder] pitched his idea more than 300 times to V.C.’s with no luck.”


The Start-Up of You By THOMAS L. FRIEDMAN Published: July 12, 2011
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  • Home
  • Applied Analytics
    • Analytics for Decision Making >
      • What is Cluster Analysis
      • Data Reduction and Unsupervised Learning
      • Preparing Data and Measuring Dissimilarities
      • Hierarchical and k-Means Clustering
      • Defining Output Variables and Analyzing the Results
      • Using Historical Data to Model Uncertainty
      • Models with Correlated Uncertain Variables
      • Creating and Interpreting Charts
      • Using Average Values versus Simulation
      • Optimization and Decision Making
      • Formulating an Optimization Problem
      • Developing a Spreadsheet Model
      • Adding Optimization to a Spreadsheet Model
      • What-if Analysis and the Sensitivity Report
      • Evaluating Scenarios and Visualizing Results to Gain Practical Insights
      • Digital Marketing Application of Optimization
      • Advanced Models for Better Decisions
      • Business Problems with Yes/No Decisions
      • Formulation and Solution of Binary Optimization Problems
      • Metaheuristic Optimization
      • Chance Constraints and Value At Risk
      • Simulation Optimization
    • Analytics for Marketing >
      • Marketing Analytics and Customer Satisfaction
      • Customer Satisfaction
      • Measurements and Scaling Techniques – Introduction
      • Primary Scales of Measurement
      • Comparative Scaling
      • Non-Comparative Scaling
      • Experiment Design: Controlling for Experimental Errors
      • A/B Testing: Introduction
      • A/B Testing: Types of Tests
      • ANOVA – Introduction
      • Example -Inspect Spray and Tooth Growth
      • Logit Model - Binary Outome and Forecastign linear regression
      • Text Summarization
      • Social media Microscope
      • N-Gram - Frequcy Count and phase mining
      • LDA Topic Modeling
      • Machine-Learned Classification and Semantic Topic Tagging
    • Data Engine >
      • Understanding The Growth Of Data
      • Evaluating Methods Of Data Access
      • Communication journey
      • Data Journey
      • Planning for data visualisation
      • Visualisation Component
      • Content Connection and Chart Legitibility
    • Customer Insights >
      • Introduction
      • What is Descriptive Analytics?
      • Survey Overview
      • Net Promoter Score and Self-Reports
      • Survey Design
      • Passive Data Collection
      • Media Planning
      • Data Visualization
      • Causal Data Collection and Summary
      • Asking Predictive Questions
      • Regression Analysis
      • Data Set Predictions
      • Probability Models
      • Results and Predictions
      • Perspective Analytics (Maximize Revenue and Market Structure Competitions)
    • Analytics for Advance Marketing >
      • Visualisation and statistics (Political Advertising,Movie Theater and Data Assembly)
      • Excel Analysis of Motion Picture Industry Data
      • Displaying Conditional Distributions
      • Analyzing Qualitative Variables
      • Steps in Constructing Histograms
      • Common Descriptive Statistics for Quantitative Data
      • Regression-Based Modeling
      • Customer Analytics
      • Illustrating Customer Analytics in Excel
      • Customer Valuation Excel Demonstration
  • Soft Skills
    • Adaptability
    • Confidence
    • Change Management
    • Unlearning and Learning
    • Collaboration and Teamwork
    • Cultural Sensitivity
  • Marketing
  • Finance
  • Economics
    • Introduction to Managerial Economics >
      • Basic Techniques
      • The firm: Stakeholders, Objectives and Decision Issues
      • Demand and Revenue Analysis >
        • Demand Estimation and Forecasting
        • Demand Elasticity
        • Demand Concepts and Analysis >
          • Formulation and Solution of Binary Optimization Problems
      • Scope of Managerial Economics
    • Prodution and Cost Analysis >
      • Production Function
      • Estimation of Production and Cost Functions
      • Cost Concepts and Analysis I
      • Cost Concepts and Analysis II
    • Pricing Decisions >
      • Pricing strategies >
        • Adding Optimization to a Spreadsheet Model
      • Market structure and microbes barriers to entry
      • Pricing under pure competition and pure monopoly
      • Pricing under monopolistic and oligopolistic competition
    • Narendra Modi Development Model of Gujarat
  • JBDON Golf
    • Digital Marketing Application of Optimization
  • Let's Talk
  • MBA Project Sharing
  • About Us
    • Good Read >
      • IIMC says PepsiCo CEO Indra Nooyi was an average student
      • India’s middle class figures in Fortune’s Top Ten list of those who matter
      • The Start-Up of you.
      • BUYING AND MERCHANDISING
      • HUMAN RESOURCE MANAGEMENT
      • Do You Suffer From Decision Fatigue?
      • New Page
      • About social media and web 2.0
      • Building Your Own Start-up Technology Company, Part 1
      • Building Your Own Start-up Technology Company, Part 2
      • Building Your Own Start-up Technology Company, Part 3
      • Building Your Own Start-up Technology Company, Part 4
      • Renewable energy is no longer alternative energy
      • What Makes an Exceptional Social Media Manager?
      • The Forgotten Book that Helped Shape the Modern Economy
      • Home
      • How to Think Creatively
      • A Lighthearted Looks at Project Management and Sports Analogies
      • Why Trust Matters More Than Ever for Brands
  • CET Knowledge Zone
    • Tips From JBIMS Students >
      • Prasad Sawant
      • Chandan Roy
      • Ram
      • Ashmant Tiwari
      • Rajesh Rikame
      • Ami Kothari
      • Ankeet Adani
      • Sonam Jain
      • Marketing Analytics and Customer Satisfaction
      • Mitesh Thakker
      • Tresa Sankoorikal
    • Speed Techniques
    • CET Workshops
  • Untitled
  • New Page
    • Cluster analysis using excel and excel miner
    • Chance Constraints and Value At Risk
    • Adding Uncertainty to a Spreadsheet Model
  • Adidas