Sometimes it takes a lot to get accepted. The business community today certainly accepts analytics, as well as the role of analytics practitioners, as orthodox operations essential to running an organization. It was not always so, especially when I started. But when establishing executive leadership, there is uncertainty as to what matrix is acceptable for the business intelligence teams. If you asked pundits a few years ago, they would have said chief analytics officer is the right answer.
Imagine a jigsaw puzzle. Usually you can associate pieces by image and shape. But suppose every piece is the same shape and is small enough to make images confusing at first look. You'd take a guess at how they fit, right? Data can be that way. Fortunately, analysts are finding many advanced ways to bring data together. One technique receiving attention these days is clustering, an unsupervised machine learning method that calculates how unlabeled data should be grouped.
Today’s marketers can pinpoint precisely where customer activity occurs based on data as simple as a hashtag, a location mention or a photo. Marketers also have a multitude of sources to mine to understand where that customer activity occurs. Take images, for example. The Atlantic referenced a 2014 Kleiner Perkins report on internet trends — the well-known annual Mary Meeker report — that estimated that people upload 1.8 billion photos a day — 657 billion photos per year.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".