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: 5 Sherlock Holmes Quotes That Prove Genius for Data-Driven 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 > Uncategorized > 5 Sherlock Holmes Quotes That Prove Genius for Data-Driven Decision Making
Uncategorized

5 Sherlock Holmes Quotes That Prove Genius for Data-Driven Decision Making

Tracey Wallace
Tracey Wallace
6 Min Read
Image
SHARE

ImageSherlock Holmes believed in the necessity of data long before the big data hubbub, declaring data-driven decision making as increasingly beneficial. To Holmes, our new obsession with fact-focused business practices (backed by data) is purely elementary — but don’t take our word for it. Take his.

“There is nothing like first-hand evidence.”

ImageSherlock Holmes believed in the necessity of data long before the big data hubbub, declaring data-driven decision making as increasingly beneficial. To Holmes, our new obsession with fact-focused business practices (backed by data) is purely elementary — but don’t take our word for it. Take his.

“There is nothing like first-hand evidence.”

More Read

I am amazing
The Case Against Collaboration, Part I
Advertiser Tracking on the Rise
5 Things You Should Know About Google’s UriBeacon and Apple’s iBeacon
SIGIR ‘09 Accepted Papers

Sure, the Internet didn’t exist in Sherlock’s time, but he full and well understood the importance of first-party data — and it’s likely he wouldn’t have been a huge fan of the cookie.

Us either.

Cookies are crumbling at an ever increasing rate, thanks in large part to the good people of the Internet, who have made it clear that cookie tracking tactics aren’t only unappreciated and often unsolicited, but a breach of user privacy.

Instead, first-party data is becoming king, especially when shared, with permission, by the user. The best example of first-party data, and the most useful? Identity data shared via social authorization. When properly implemented on your site, social authentication can pull user brand affinities and influence into a data platform like the Digital Genome, allowing you to collect, secure and take action on your users’ individuality in real-time.

This isn’t Cookie Stalking 101. It’s treating people like people — and that shouldn’t be so revolutionary. 

“The world is full of obvious things which nobody by any chance ever observes.”

This concept alone was the driving force behind Hadoop — the idea that with so much data and information flowing, the ability to analyze and draw conclusions from that data is limited. You can’t even connect the obvious dots in our data-overloaded world, much less the more nuanced, which is why you need a DMP, a CRM, a Hadoop, or what have you.

But more to Sherlock’s point, the data doesn’t do the work for you. When using data platforms, it’s up to companies to figure out how best to use their newfound information — and hopefully they use it to better their bottom line, even if the data is counterintuitive to their previous business models.

For instance, with the Digital Genome, a company can connect the dots between the 25% of their audience who access their site via mobile and the 15% within that audience that are avid fans of Mashable. Maybe the company hasn’t done much mobile advertising, but with a majority of their mobile audience also checking out Mashable on a regular basis, it makes sense to find look-a-likes via mobile advertising on that site.

It’s obvious — but will companies do it? 

“It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.”

Most of us recognize this situation well — we just call it by it’s modern day name: office politics. But, as the economy moves toward one based on data-driven decisions, office politics will need to take a back-seat.

With data, winning and losing business strategies are made abundantly clear. Does that mean that employees need to fear new ideas or testing out the data in different ways? Absolutely not — it just means that we’re reaching the golden age of trial and error, in which every marketing or advertising effort has a success metric you can be sure isn’t from a faulty survey.

“I never guess. It is a shocking habit,—destructive to the logical faculty.”

Guessing at success metrics is indeed a faulty habit — and yet print and billboard ads, or traditional media, have long been and continue to do so. Small surveys and panels do not represent the whole of your audience — and those likely to participate in those surveys or panels represent an even more miniscule percentage of your audience. That said, the findings on ad success from print and billboards are simply educated guesses. 

Digital advertising isn’t, which is why Internet ad spend has officially beat out broadcast for the most dollars spent. It’s about the data and increasing conversions.

“‘Data! Data! Data!’ he cried impatiently. ‘I can’t make bricks without clay.'”

His point? You can’t draw solid conclusions without data the same way you can’t build solid bricks without clay. The material you use to build your business is just as or even more essential than your expected outcome. You need the right data, from the right people, on the right platform before you can expect any type of ROI.

TAGGED:analyticsdata
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News
0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Analytics Moves To The Core: Reporting from the Gartner Summit

5 Min Read

The Masses Against The Classes

4 Min Read

Teradata Active Enterprise Update

4 Min Read
content marketing Analytics
AnalyticsExclusiveMarketing

What To Know About The Importance Of Analytics In Content Marketing

5 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
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?