By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    Promising Benefits of Predictive Analytics in Asset Management
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: 4 Retail BI Lessons to Learn from Google’s Nexus Fail
Share
Notification Show More
Latest News
ai digital marketing tools
Top Five AI-Driven Digital Marketing Tools in 2023
Artificial Intelligence
ai-generated content
Is AI-Generated Content a Net Positive for Businesses?
Artificial Intelligence
predictive analytics in dropshipping
Predictive Analytics Helps New Dropshipping Businesses Thrive
Predictive Analytics
cloud data security in 2023
Top Tools for Your Cloud Data Security Stack in 2023
Cloud Computing
become a data scientist
Boosting Your Chances for Landing a Job as a Data Scientist
Jobs
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > 4 Retail BI Lessons to Learn from Google’s Nexus Fail
Uncategorized

4 Retail BI Lessons to Learn from Google’s Nexus Fail

thamina
Last updated: 2013/03/04 at 9:01 AM
thamina
5 Min Read
google nexus BI lesson
SHARE

I’m a frugal kind of guy, and yet I can’t stand to waste money on something so low quality that I have to replace it sooner than later.

google nexus BI lessonYou can imagine my excitement, then, when Google’s marketing team told the world about the Nexus 4—a great phone at an unprecedented price. Still I waited. The goddess of finances (read: my wife) had to be consulted, cajoled, and convinced.

I’m a frugal kind of guy, and yet I can’t stand to waste money on something so low quality that I have to replace it sooner than later.

google nexus BI lessonYou can imagine my excitement, then, when Google’s marketing team told the world about the Nexus 4—a great phone at an unprecedented price. Still I waited. The goddess of finances (read: my wife) had to be consulted, cajoled, and convinced.

More Read

embedded bi tools

Embedded BI Tools Bring Huge Benefits to Business Applications

The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
Four Strategies For Effective Database Compliance
How IoT Can Be Connected to Business Intelligence
14 Brands Using Mobile Apps Instead of Ads to Build Customer Loyalty

I ordered my Nexus 4 on November 30, the second release date after the original ordeal of Google having sold out worldwide in less than an hour only 2 weeks before. I was sure that Google had done its homework, looked at the stats, and had LG crankin’ out those little Nexus 4s at break-neck speed to meet the demand. Surely they wouldn’t re-release until they were ready to handle the volume!

I paid for the 16-gig version, a mountain of taxes, and a hefty $14 shipping fee (Amazon Prime’s free two-day shipping has spoiled me) and waited. For a month. And I was one of the lucky ones to get it early.

Here are 4 retail BI lessons that every retailer needs to learn from the great Google Nexus Retail Fail:

1. If It Can Happen to Google, It Can Happen to You

Columnists, geeks, and worldwide masses have been scratching their heads for a month and a half, asking themselves, “How could Google not have prepared for this kind of demand, not just once but TWICE?” In other words, where the #@*! was their business intelligence?

If anyone has resources, it’s Google. I have no doubt that their fulfillment team, their web team, and their suppliers were all trying to sync up, but multiple data sources, time, and distance can even trip up giants like Google.

One can only speculate on how things might have been different with a real-time dashboard for all of the stats from every department, but retailers should think twice before flying partially blind into a major launch.

2. The Age of the “Department” Is Over

The stark lines between each of your departments is quickly melting away as silos of responsibility give way to desperate need for information. Google’s marketing team did a phenomenal job (well, they sold me, anyway), but what is marketing without fulfillment? What is fulfillment without web support? What is web support without finance?

We’ve always relied on each other, but as Google has so inadvertently demonstrated, we rely more than ever on each other’s stats in real time, not just in monthly or weekly reports.

3. Numbers Aren’t Enough

Again, no one doubts that Google had plenty of measuring tools. You’ve also made important investments in your retail data, but it’s virtually impossible to sync the entire company’s information when your Taleo data is locked in its own platform, your SQL info is only shown in a spreadsheet, and your Google Analytics aren’t built to reflect a highly particularized question.

You need to be able to watch the impact of Radian6 stats on info from Magento, measure UltiPro data with Responsys, or identify false correlations that divert hard-earned revenue to inefficient campaigns. In other words, you need an executive management platform.

4. Where Was Google’s Pre-order?

Ok, so maybe it’s a stretch to say BI fixes this, but seriously—Google had nothing to lose and everything to gain with setting up a pre-order! Lack of data strikes again.

I’m not hating on Google—in fact, my Nexus 10 tablet is getting to my house today, and I’m super excited. But the customer experience and the PR could have been a hundred times more positive if Google’s departments lived in a data democracy. How ironic.

image: fail/shutterstock

TAGGED: analytics, business intelligence, data management, google, nexus, real-time, retail data, sql, statistics
thamina March 4, 2013
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai digital marketing tools
Top Five AI-Driven Digital Marketing Tools in 2023
Artificial Intelligence
ai-generated content
Is AI-Generated Content a Net Positive for Businesses?
Artificial Intelligence
predictive analytics in dropshipping
Predictive Analytics Helps New Dropshipping Businesses Thrive
Predictive Analytics
cloud data security in 2023
Top Tools for Your Cloud Data Security Stack in 2023
Cloud Computing

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

Sign Up for Our Newsletter

Subscribe to our newsletter to get our newest articles instantly!

[mc4wp_form id=”1616″]

You Might also Like

embedded bi tools
Business Intelligence

Embedded BI Tools Bring Huge Benefits to Business Applications

5 Min Read
data-driven approach in healthcare
Analytics

The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas

6 Min Read
database compliance guide
Data Management

Four Strategies For Effective Database Compliance

8 Min Read
internet of things and business intelligence
Internet of Things

How IoT Can Be Connected to Business Intelligence

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?