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
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Rock Paper Scissors – Market Decision Making
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 > Predictive Analytics > Rock Paper Scissors – Market Decision Making
Predictive Analytics

Rock Paper Scissors – Market Decision Making

TeradataExperts
TeradataExperts
10 Min Read
Rock Paper Scissors - Market Decision Making
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

“The key to good decision making is not knowledge. It is understanding. We are swimming in the former. We are desperately lacking in the latter.”
– Malcolm Gladwell (Blink: The Power of Thinking Without Thinking)

CMO’s are facing one of the most difficult decision making climates in generations. While some think there is an analogy to the book the Perfect Storm, a sequence of powerful forces converging to create a momentary disastrous environment. I posit that this is the new reality in marketing decision making – a highly fluid, highly reactive, highly charged atmosphere.

This isn’t a bad thing, challenges can drive elevation creativity, performance and results. In surveying the challenges for CMO’s in 2010 for a recent presentation, it became clear that creating the space to elevate performance in this market is going to be very difficult for four reasons:

  1. No Gravity
  2. Constant Conflict
  3. Tactical Engagement
  4. Managing by Measurement

One of my early mentors had a string of unique, folksy, down home analogies that he applied to the dynamically changing telecommunications environment of the 1990s. I still remember many of these and chuckle at their continued usefulness. The one I have been drawn lately is that you

More Read

Data Mining Combined With Predictive Modeling Equal 3D Data Visualization
Data Mining Combined With Predictive Modeling Equal 3D Data Visualization
Predictive Analytics Spotlight from IBM
What’s Next – Predictive Scores for Healthcare?
Business Intelligence and Your Business: Ignorance Is Not Bliss
Revealed: The Top 5 Big Data Use Cases Your CEO Will Love

“You can’t have to check for gravity every time you wake up”

In decision-making terms this means that there have to be constants you can assume to your make predictions, forecasts and plans fit the business environment. However in a market decimated by financial uncertainties, rapidly evolving due to technology and product substation and where the competitive playing field has been leveled through consumer adoption of search and social media it is hard to point to any true laws that can govern decision-making.

Having to check for gravity everyday creates strategic decision making chaos. Long Term decisions are tempered by greater than normal uncertainty and become considerably more conservative – less spending, longer trials, fewer risks – or more instinctive and reminiscent of Rock Paper Scissors.

There is also a downstream affect (to not only mix a metaphor, but to completely contradict a metaphor) which leads to institutional conflict. The lack of resources, tied to the demand for new investment with downward financial pressures is the classic environment for marketing conflict. There are excellent article out there describing these challenges such as Five Marketing Battles that make No Sense. But consider the battles that the CMO has to endure everyday.

  1. Online vs. Traditional marketing
  2. Search vs. Display advertising
  3. Outbound vs. Inbound
  4. Advertising vs. Direct Marketing
  5. TV vs. Itself
  6. Marketing vs. IT
  7. Marketing vs. Finance
  8. Marketing vs. Sales
  9. Targeting vs. Privacy
  10. oh yeah – the Competition & Googlization

Budget battles can be a good thing – focusing the organization, all these battles lead combined with the dynamic nature of the marketplace today can lead to a tactical focus, rather than strategic. When the CMO has to dedicate time to Cohesive Communication and Getting Along then they are getting into the weeds and being distracted by all the new ways to reach consumers – what should the budget be for display ads on mobile social media sites? The CMO has to elevate the discussion, rather than try to answer potential un-answerables.

I think one challenge in a world swimming in data is that quantitative decision-making can get in the way of understanding. In our Biggest Brands Can No Longer be Managed By Nerds Tom Hinkes argues that the pendulum has swung to far in the Brand Marketing Space.

As a contrarian by nature, I would argue that is not true. But that we are only managing what we can easily measure. We have high level KPI’s such as Revenue, ROI, Acquisition, Loyalty, Share of Market or Customer Satisfaction. At one time these useful indicators of where the business was going. I used to do Share of Voice vs. Share of Market and customer profitability analysis once, maybe twice a year to help steer our $100MM advertising budget or our network investment.

Now, with the detailed analytics available through the web we are awash in data of the moment. In Data, Data Everywhere the Economist has done a great job of highlighting the incredible opportunity arising from having detailed data, but also the risks of it.

For the CMO the biggest risk can be starting to only manage what you can measure – thus becoming more and more focused on tactical incremental impacts. The real opportunity from all this data is to re-think the strategic / big picture assumptions.

These questions such as:

  1. How do you measure customer centric success in a channel driven organization?
  2. How do you shift the focus of KPIs from KEY to INDICATOR – to ensure investment in long term strategies
  3. How do you measure the interaction between investments – marketing doesn’t happen in a vacuum.
  4. How do you take advantage of the changing marketplace rather than being a victim?
  5. What are defensible competitive advantages vs. temporary marketing innovations

Okay – this post has posed too many questions and challenges and I should give some relevant ideas that can be helpful. Clearly I don’t know have the answers to all these questions. But I think there are some places to start.

  1. Create Gravity: With Data from across the organization it is possible to have a marketing decision making platform that provides enough pillars to make faster, more accurate decisions.
  2. Fight Conflict with Information: With an Enterprise approach to marketing data, eliminate the arguing about facts part of conflict. When everybody has the same data they can influence and elevate each other. Make sure competitors and the Marketplace are the number 1 & 2 conflicts in the organization.
  3. Strategic Engagement: Once there is a more level decision making playing field, there is more room for strategic decision making.
  4. Measure What Should Be Managed: Spend analytical efforts creating the KEY performance INDICATORS of GREATNESS, not just reporting on what can be measured.

I view Teradata’s Integrated Web Intelligence solution as a part of this puzzle. One quote I heard on a call with a customer was “Now I can get my web data to the thousands of EDW users I have – not just the handful that look at Google.” In a customer workshop we spent hours teasing out the detailed data needed to look at channel attribution – something not possible with a lot of data silos. It is not a panacea for everything that challenges the CMO today, but it is a place to look for eliminating some of these problems.

If today’s marketing organization is going to shift from knowledge to understanding, we need more tools like Teradata’s IWI.

Paul Barrett

TAGGED:marketingpredictive analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Stellar Repair for MS SQL Review: Can It Repair SQL Databases? -- AI-generated illustration
Stellar Repair for MS SQL Review: Can It Repair SQL Databases?
Exclusive Software SQL
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Better customer service, better results with predictive analytics
Business IntelligenceData MiningPredictive Analytics

Better customer service, better results with predictive analytics

6 Min Read
Artificial IntelligenceBusiness IntelligenceExclusiveMarketing

AI And BI Are Vibrantly Sparking New Trends In Affiliate Marketing

9 Min Read

The Incredible Predictive Analytics Capabilities Of Blockchain

5 Min Read

Predictive Analytics Reveals Secrets To Boosting Customer Loyalty

9 Min Read

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

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?