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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Selling BI… Are we doing it wrong?
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 > Selling BI… Are we doing it wrong?
Best PracticesBusiness Intelligence

Selling BI… Are we doing it wrong?

MarkBradbourne
MarkBradbourne
4 Min Read
SHARE

Ideas Worth Spreading

I had an epiphany of sorts lately after viewing the following video from TED. Simon Sinek gave a talk about how great leaders inspire action and gave three powerful examples. Like most thing I hear I asked myself “How does this apply to BI?” and for me it turned on a light bulb.

Watch this video, it’s 18 minutes well spent.

More Read

Image
NoSQL Vs. RDBMS for Interactive Analytics: Leveraging the Right and Left Brain of Data
Data Mining Combined With Predictive Modeling Equal 3D Data Visualization
You Call This Mobile CRM?
How Machine Learning Is Changing Big Data Management
Seasonal Web Traffic: The Proverbial Coal in Your Stocking

Ideas Worth Spreading

I had an epiphany of sorts lately after viewing the following video from TED. Simon Sinek gave a talk about how great leaders inspire action and gave three powerful examples. Like most thing I hear I asked myself “How does this apply to BI?” and for me it turned on a light bulb.

Watch this video, it’s 18 minutes well spent.

 

Applying this Concept to Business Intelligence

Most BI Professionals talk about the latest technology, emerging trends, software, star schema designs, delivery methods, mobile BI, “big data”, in-memory, etc… the list goes on and on, but in my 15 years I’ve never heard a BI professional explain WHY they work in the “BI Space”! Most everyone works for a paycheck, but that old adage of “Do what you love, and the money will follow”… how many BI practitioners fall in to that bucket? My guess would be more than most when it comes to technical jobs, but I would also guess that most have never given any thought about why. What we do is hard, there is not getting around it, so there has to be a level of passion for data and analysis that comes with the job. I will admit it, until watching this video I didn’t give it any thought, but I was able to answer the question very easily.

Why do I do it?

“I work to enable better business decision by leveraging what already is known against things that are not known. Through this process I attempt to provide insight in to the company’s inner workings and make those who use the data more successful and productive.”

How do I do it?

“By leveraging best practice methodologies, and applying it within the reality that is the business environment realizing that those two don’t always align”

What do I do?

“I build data warehouses and business intelligence solutions that meet business requirements”

If we approached the business users from this inside-out approach to “sell” them BI, what do you think the result would be? I think this method has potential to improve user adoption rates, improve the requirements process, and contribute to the overall success of BI projects. Am I a dreamer? Probably, but it makes perfect sense! If someone came to me selling the Why rather than the What I think I would be much more engaged in what was going on… we have to get the business to believe what we believe, not buy what we are selling.

If you are reading this, sit down and figure out why you do BI… what do you believe? Then take the next step and rather than selling the what to the business, try to sell the why!

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic
Ai agents
AI Agent Trends Shaping Data-Driven Businesses
Artificial Intelligence Exclusive Infographic
Why Businesses Are Using Data to Rethink Office Operations
Why Businesses Are Using Data to Rethink Office Operations
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Dresner: Mobile Business Intelligence to Transform BI Industry

7 Min Read

A Comprehensive Approach is Required for Data Quality Improvement

4 Min Read
ai for small business tax planning
Artificial Intelligence

Maximize Tax Deductions as a Business Owner with AI

9 Min Read
Artificial Intelligence

Can AI Help Create an Ideal Employee Compensation Package?

12 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
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?