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
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Business Analytics – Opposition or Proposition?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Decision Management > Business Analytics – Opposition or Proposition?
AnalyticsDecision ManagementPredictive Analytics

Business Analytics – Opposition or Proposition?

GaryCokins
GaryCokins
4 Min Read
SHARE

Metaphorically, belief and disbelief in business analytics as a competitive edge – and not just a passing fad – meet at a door. On one side is passion, and on the other, fear. Passion always lives with fear. Those with passion for a methodology, like embracing analytics to support decision, have fear that others will reject them and their ideas. What position for analytics will come out ahead? Opposition or proposition? 

Technology is no longer the barrier to analytics

Metaphorically, belief and disbelief in business analytics as a competitive edge – and not just a passing fad – meet at a door. On one side is passion, and on the other, fear. Passion always lives with fear. Those with passion for a methodology, like embracing analytics to support decision, have fear that others will reject them and their ideas. What position for analytics will come out ahead? Opposition or proposition? 

Technology is no longer the barrier to analytics

More Read

Big Data: We Have the Technology, but Do We Have the People?
Ya Can’t See the Forest Through the Trees
An App Model Approach to Big Data
Rock • Analyst • Hard Place
Coming Trends in Analytics Application and Implementation

What is it about accepting a new idea like applying analytics? There is a lot. And it mainly has to do with the natural resistance to change with people. People like the status quo. The main barrier to the acceptance of applying analytics is no longer technical but rather is behavioral and cultural. The software tools are proven. The use of analytics by casual users, not just a team of trained statisticians, has become widespread.

Consider these remarks from Jane Griffin, a Principal with Deloitte Consulting LLP from a Deloitte “debate” on this topic:

“The executives I talk to every day are wrestling with business decisions where a better understanding of data at a very deep level can make all the difference. … Low-level analytics just won’t get you there. Work your way through the list of ground-shaking developments in business today – none are areas where companies can continue to shoot from the hip. Pricing. Workforce trends. Health reform. Even security and terrorism threats. These are all complex challenges where advanced signal detection capabilities are critical. … Analytics is no fad. It’s a serious competitive advantage.”

Analytics as the only sustainable competitive advantage

The popular Harvard Business School Professor Michael Porter’s defined accepted, generic strategies for a company (i.e., cost leadership, differentiation and focus), however they are all vulnerable today because competitors can more quickly take actions (such as reduce costs), imitate a company or invade a company’s market niche. An organization’s best defense against the competition is the ability to quickly make smart decisions – which can easily be accomplished by implementing business analytics. Organizations that achieve competency with business analytics are able to sustain a long-term competitive advantage. 

A similar case can be made for adopting analytics-based enterprise performance management methodologies. The early adopters are already well ahead. Their executives have properly communicated their strategy to employees through appropriate key performance indicators (KPIs) and achievable targets to align behavior. They have robust predictive analytics that reduce uncertainty and allow them to take smarter and quicker actions. These organizations understand their cost and profit margins by product, service, channel and customer – as well as optimal actions needed to retain and grow customers, and acquire the best target customers. They have driver-based budgets and rolling financial forecasts using modeling techniques.

I suspect that passion (and common sense) was present to overcome fear of trying something new, like advanced analytics, to improve organizational performance.

TAGGED:analyticsdecision management
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

software developer using ai
How Data Analytics Helps Developers Deliver Better Tech Services
Analytics Big Data Exclusive
ai for stock trading
Can Data Analytics Help Investors Outperform Warren Buffett
Analytics Exclusive
data security issues with annotation outsourcing
Data Annotation Outsourcing and Risk Mitigation Strategies
Big Data Exclusive Security
NO-CODE
Breaking down SPARC Emulation Technology: Zero Code Re-write
Exclusive News Software

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Kognitio Brings Big Data Experience to Business Analytics

5 Min Read

A reader asks – how to document decision logic

7 Min Read
customer relationship management
Big Data

CRM: Businesses Should Walk Before They Run

3 Min Read

Social Media Marketers Should Get Ahead of the Curve

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.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?