Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Quicksand, Data Overload and Corporate Concrete
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Quicksand, Data Overload and Corporate Concrete
AnalyticsBest PracticesCulture/Leadership

Quicksand, Data Overload and Corporate Concrete

iPerceptions
iPerceptions
4 Min Read
SHARE

One of Avinash‘s favorite expressions is “data puke’, which goes a long way to describing the vast majority of charts, tables and graphs that I’ve seen over my relatively short (but I like to think illustrious) career in web analytics.

Contents
Data OverloadQuicksandCorporate Concrete

One of Avinash‘s favorite expressions is “data puke’, which goes a long way to describing the vast majority of charts, tables and graphs that I’ve seen over my relatively short (but I like to think illustrious) career in web analytics. I’m no “PowerPoint Picasso”, but I believe that I can put together slides in a manner that imparts knowledge, disseminates data and tells a coherent story.

Evidence indicates that I and my colleagues are in the minority. Perhaps this accounts for why many big corporations seem so very keen on the concept of web analytics, yet so very reticent to actually do anything with their data. They’ve either paid big money for an analytics suite that comes with a consultant, or they’ve used a free solution like GA or 4Q and hired someone as a web analyst. You’d figure that they would take advantage of all the available data, considering the money they’ve spent gathering it.

Personally, I think this corporate inaction can be tracked back to three key things.

More Read

Image
Sales Pipeline Management Dos and Don’ts
Automating Your Text Analytics Process
The Data Geek’s Guide to Happiness in 2013
Where’s My Magic 8 Ball? Customer-Focused Analytics
“Reality mining … is all about paying attention to patterns in life and using that information…”

Data Overload

Collecting a database of all your visitors’ on-site activities generates a pile of records that is nigh on impossible to parse through, even with highly-paid analysts dissecting every keystroke. Even when you think you’ve reached a conclusion, a simple re-segmenting of the data can show you something different. Everyone thinks that all this data will highlight the Yellow Brick Road that the company should follow, but more often than not you simply end up standing at a 4 way crossroads, spinning in place and wondering which way to go.

Quicksand

Related to the above, all this data keeps everyone stuck in the same place, unable to move in on direction or another. You’ll get everyone in the company agreeing that something has to be done, but all the time will be spent trying to figure out what. Typically, you’ll end up with two camps, each with opposing conclusions that are backed up from data drawn from the same source. The net result is that decisions take forever, if they come at all.

Corporate Concrete

Certain things in the corporate world are set in stone. Deployment schedules are one of those things. While they may have been put in place to keep the company running smoothly, they typically ensure that all the company does is play catch-up. When you receive feedback, you have a very short time to respond – yesterday’s news is old news, and if you are forced to wait 2 months for the next release date, an opportunity will pass you by.

Whether it’s too much data, indecision or corporate procedures, data obtained from various web analytics sources is not acted on quickly enough. Delayed action results in reduced returns and the perception from many corporate higher-ups that web analytics just isn’t worth it.

Deployment schedules need to be thrown out the window for smaller items – with releases coming weekly, if not daily. Quicker turnaround will offer greater rewards, and increased ROI isn’t something that needs to be explained to the HiPPOs upstairs.

This is a repost from Christopher Pam’s blog. The original can be located here.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Effectiveness Metric is Business Capabilities/IT Costs x 100
AnalyticsBig DataBusiness IntelligenceData ManagementITKnowledge ManagementSoftware

IT MPG: Measuring the Value of IT Is Simple Math

5 Min Read

Data Mining Book Review: Future Ready

2 Min Read

Why Data Sampling Leads to Bad Decisions

3 Min Read

Answers to the Most Frequently Asked PAW Questions

4 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?