We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    Flat editorial illustration: The article is about joining public web signals with internal business metrics so BI teams can inter
    Alternative Data in BI: Bringing Public Web Data Into Your Dashboards
    23 Min Read
    Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
    Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
    11 Min Read
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Awesome Analytics: Are We There Yet?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Awesome Analytics: Are We There Yet?
AnalyticsBig Data

Awesome Analytics: Are We There Yet?

Timo Elliott
Timo Elliott
3 Min Read
Awesome Analytics: Are We There Yet?
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

As I prepared for a presentation at the Gartner BI conference in Sydney a couple of weeks ago, I thought I’d take a look at old research to how far we’ve come with Analytics in the last few decades.

At first glance, the answers is ‘not very far.’

For example, in 1997, only 12% of executives reported basing their decisions on hard facts. By 2014, that had dropped to just 10%.

As I prepared for a presentation at the Gartner BI conference in Sydney a couple of weeks ago, I thought I’d take a look at old research to how far we’ve come with Analytics in the last few decades.

More Read

Is Analytics-Based Performance Management Art, Craft or Science?
Is Analytics-Based Performance Management Art, Craft or Science?
How to Configure a Dedicated Server for Your Database Step by Step
You Ain’t Seen Nothing Yet
The Only Way to Save Your CRM from Failure
Why Bridging the Gap Between ERP and CRM Is Vital and How Big Data Can Help

At first glance, the answers is ‘not very far.’

For example, in 1997, only 12% of executives reported basing their decisions on hard facts. By 2014, that had dropped to just 10%.

analytics now and then -- gut rules2

Despite decades of BI investment, executive reliance on gut feel has actually increased.
(Why the worst-practice 3D shaded pie-charts? Just to troll the data viz purists 🙂 ).

A hot topic of Gartner BI research in the late 1990s was the increasingly large ‘fact gap,’ whereby the amount of data available for decisions was rapidly outstripping the available analytic resources.

With some minor modifications, such as changing ‘Terabytes’ to ‘Petabyes’ and ‘Analytic Personnel’ to ‘Data Scientists,’ the picture looks remarkably similar twenty years later.

fact gap update

An update to Gartner research from 1996. Plus ça change…

It’s hard to compare perfectly, because of different research methodologies used over the years, but it also seems that the largest factors holding back successful Business Intelligence also haven’t changed very much.

The top three problems remain data quality, ease of use, and the difficulty of integrating different systems.

biggest barriers to business intelligence

The top three barriers to business intelligence have remained largely unchanged for over a decade

The reality is that today’s technology is much more powerful and widely used than in the past — but what was hard then remains hard today.

what's still not awesome

What if we could take all of today’s technologies, and start again from scratch? That ended up being the theme of my presentation, and the subject of future posts. In the meantime, please find the presentation below — note that you can download the .pptx version by clicking the right-hand button and going to the slideshare site.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about joining public web signals with internal business metrics so BI teams can inter
Alternative Data in BI: Bringing Public Web Data Into Your Dashboards
Big Data Business Intelligence Exclusive Web Analytics
Flat editorial illustration: A SaaS-editorial scene showing product usage, support patterns, and renewal feedback informing a fle
Using Product Usage Analytics and Support Data to Build a B2B Product Roadmap
Business Intelligence Infographic
From Hiring To Payroll: Managing HR Data Across Business Systems -- AI-generated illustration
From Hiring To Payroll: Managing HR Data Across Business Systems
Big Data Business Intelligence Infographic
Flat editorial illustration: The article is about automating the collection, preparation, and delivery of marketing data across p
From Data to Dashboards: 5 Marketing Reporting Automation Software Picks
Big Data Business Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Technology Integration and Big Data: Extracting Value
AnalyticsBest PracticesData ManagementDecision Management

Technology Integration and Big Data: Extracting Value

4 Min Read
blockchain
ExclusiveITModeling

Current Landscape and Applications of Blockchain Explained

5 Min Read
Oracle Goes All In On Cloud
AnalyticsBig DataCloud ComputingHadoop

Oracle Goes All In On Cloud

6 Min Read
The Role of Cookies in Analytics and Privacy Issues they Raise
Analytics

The Role of Cookies in Analytics and Privacy Issues they Raise

8 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?