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
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: What do we call what we do?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > What do we call what we do?
Big DataData MiningPredictive Analytics

What do we call what we do?

DeanAbbott
DeanAbbott
3 Min Read
What do we call what we do?
Illustration generated with FLUX.2 [Klein 9B] via local ComfyUI.
SHARE

I’ve called myself a data miner for about 15 years, and the field I was a part of as Data Mining (DM). Before then, I referred to what I did as “Pattern Recognition”, “Machine Learning”, “Statistical Modeling”, or “Statistical Learning”. In recent years, I’ve called what I do Predictive Analytics (PA) more often and even co-titled my blog with both Data Mining and Predictive Analytics. That stated, I don’t have a good noun to go along with PA. A “predictive analytist” (as if I myself were a “predictor”)? A “predictive analyzer”?

I’ve called myself a data miner for about 15 years, and the field I was a part of as Data Mining (DM). Before then, I referred to what I did as “Pattern Recognition”, “Machine Learning”, “Statistical Modeling”, or “Statistical Learning”. In recent years, I’ve called what I do Predictive Analytics (PA) more often and even co-titled my blog with both Data Mining and Predictive Analytics. That stated, I don’t have a good noun to go along with PA. A “predictive analytist” (as if I myself were a “predictor”)? A “predictive analyzer”? I often call someone who does PA a Predictive Analytics Professional. But the according to google, the trending on data mining is down. Pattern recognition? Down. Machine Learning? Flat or slightly up. Only Predictive Analytics and it’s closely-related sibling, Business Analytics, are up. Even the much-touted Data Science has been relatively flat, though has been spiking Q4 the past few years.

Data Mining
Pattern Recognition
Machine Learning
Predictive Analytics
Business Analytics

The big winner? Big Data of course! It has exploded this year. Will that trend continue? It’s hard to believe it will continue, but this wave has grown and it seems that every conference related to analytics or databases is touting “big data”.

Big Data

 

More Read

NICE Delivers Customer Interactions with Next Generation Workforce Optimization
NICE Delivers Customer Interactions with Next Generation Workforce Optimization
Keeping Your Big Data Analysis Clean
Translating Awareness to Consideration Set in B2B
First Look – G Stat
Free BI for Higher Ed
Data Science

I have no plans of calling what I do “big data” or “data science”. The former term will pass when data gets bigger than big data. The latter may or may not stick, but seems to resonate more with theoreticians and leading-edge types than with practitioners. For now, I’ll continue to call myself a data miner and what I do predictive analytics or data mining.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
How an Online MBA in Marketing Connects AI and Data Analytics
Analytics Artificial Intelligence Big Data Exclusive
Flat editorial illustration: The article connects commercial drone capture with integrated software workflows that organize and r
Drone Technology as a Business Investment: Calculating ROI, Costs, and Long-Term Value
Business Intelligence Marketing Software
Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Planning For The Future: Understanding Scalability Requirements
AnalyticsBig Data

Planning For The Future: Understanding Scalability Requirements

4 Min Read
Tag, Anyone?
Big DataData ManagementHardwareITLocationMobilityNew ProductsPolicy and GovernanceSecurityTransparency

Tag, Anyone?

4 Min Read
Business IntelligenceData MiningExclusiveKnowledge ManagementPredictive AnalyticsSentiment AnalyticsText AnalyticsWeb Analytics

Emotions: The Next (but not new) Frontier in Artificial Intelligence & Cognitive Computing

2 Min Read
In-Database analytics: Teradata and SAS lead in speed by ‘thinking inside the box’
Data WarehousingPredictive Analytics

In-Database analytics: Teradata and SAS lead in speed by ‘thinking inside the box’

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.

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?