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
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    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
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: #20: Here’s a thought…
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > #20: Here’s a thought…
Uncategorized

#20: Here’s a thought…

brianfarnan1
brianfarnan1
6 Min Read
SHARE

An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:

Prediction + understanding
In my view, predictive models can be powerful business tools, but they have the potential to lead us into a false belief that because we can predict something on the basis of mathematical relationships, we understand what we’re predicting. We might also lapse into an expectation that “prediction” based on past behavior is in fact destiny. We need to remind ourselves that correlation or association is a necessary but not a sufficient condition to show a causal relationship.

—David Bakken: Analytics Ascendant: Will Predictive Modeling Replace All Other Ways of “Knowing” Customers?

It’s not what you do, it’s the way…
I think most folks, especially in these tough economic conditions, actually understand the tough business decisions that need to be made – even with restructuring. Where it gets ugly is how the change is implemented.

—Melissa Dutmers: Corporate Restructing is Hard – Transparency and Authenticity are Required

Managing the master data
Ensuring that data quality is at a high level is one of the most important functions of any data …

More Read

The iPad and the CD-Rom
Who Invented Attention Economics?
Does the Future Lie with Embedded BI?
PatraLaiKhak: The Letter Writer
Great IT change came with a whisper not a bang


An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:

Prediction + understanding
In
my view, predictive models can be powerful business tools, but they
have the potential to lead us into a false belief that because we can
predict something on the basis of mathematical relationships, we
understand what we’re predicting. We might also lapse into an
expectation that “prediction” based on past behavior is in fact
destiny. We need to remind ourselves that correlation or association is
a necessary but not a sufficient condition to show a causal
relationship.

—David Bakken: Analytics Ascendant: Will Predictive Modeling Replace All Other Ways of “Knowing” Customers?

It’s not what you do, it’s the way…
I
think most folks, especially in these tough economic conditions,
actually understand the tough business decisions that need to be made –
even with restructuring. Where it gets ugly is how the change is
implemented.

—Melissa Dutmers: Corporate Restructuring is Hard – Transparency and Authenticity are Required

Managing the master data
Ensuring
that data quality is at a high level is one of the most important
functions of any data management unit. It is an interminable process
that sometimes gets underrated. The backbone of broader quality
initiatives is a sound master data management. Master data, as opposed
to transactional data, describe items like product and customer names,
addresses, etc. These data will be stored and reused in the long run
but very often change over time.

—Teradata EMEA: La Trahison des Données

Their time has come
…the
article details how statisticians are in hot demand at companies like
Google, Netflix and IBM, and claims that statisticians can earn
$125,000 at top companies after completing a PhD. … I’ve long lamented
that statisticians lack a hero to make the field seem exciting —
Indiana Jones made archaeologists into action heroes, for Pete’s sake!
— but the role of statistician seems to have progressed beyond
“nerdish wonk” even if it isn’t quite yet to rock-star status.

—David M Smith: One word from the NYT: Statistics

Not quite full-duplex
We’re
in this time of transition as the social web starts to impact business
in a significant way. We’ve learned a lot from our efforts to use the
web and the new social enablers like Facebook, Twitter, 12Seconds.tv,
Qik, YouTube, etc. I wonder, though, if business is ready for a
full-duplex conversation? Business, for the most part, has been at best
half-duplex for a long time…

—Michael Fauscette: It’s not a full-duplex world

So who’s surprised
It
is easier for people to express themselves publicly, the detached
nature of online communication releases people’s inhibitions, and the
speed and efficiency of distribution (especially through search/alerts)
means that the people most likely to be or feel damaged by an act of
public expression are far more likely to discover that act. So it’s not
surprising that users are being sued for what they say online—it’s an
expected consequence of the democratization of publishing, especially
in the litigious English-speaking countries on both sides of the pond.

—Daniel Tunkelang: Public Expression, Liability, and Anonymity

If you’re going to rebrand…
Rebranding
is a hollow exercise if it’s not accompanied by changes in the customer
experience. A revamped logo and a signature cocktail in business class
hardly count when the flight attendants continue to patrol the cabin
like martinets. In the world of customer loyalty what counts is the way
your behaviors change. And no, you may not have the entire can.

—Jill Dyche: Rebranding and the Customer Experience
TAGGED:master datapredictive analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Data Miners: Participate in 3rd Annual Survey

1 Min Read
Fintech companies
AnalyticsBig DataPredictive Analytics

3 Ways Fintech Companies are Using Big Data to Beat the Banks

6 Min Read
small forex traders
Big DataExclusive

Big Data Eases the Burden of Small Forex Traders

6 Min Read

Predictive Analytics in the Cloud Research on SmartData Collective

2 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?