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Speeding up predictive modeling techniques pays business dividends
BOSTON -- When the U.S. Tennis Association wanted to make more of its operations analytics-driven, it ran into an increasingly common problem: siloed data. "Anything we did with data was all short-term thinking," said Kent Schacht, senior director of data strategy and customer engagement at the USTA, in a presentation last week at the 2017 Big Data Innovation Summit here. "Everything was a workaround or a quick patch. In the past, nothing came together." Data silos have always existed.
Data dashboard software has been around for years now, and many enterprises probably feel like their implementations are on autopilot. This attitude is likely to lead to failure. With today's easy-to-use visual business intelligence software, it's never been simpler for a business team to set up a quick dashboard. But failing to observe data dashboard best practices is likely a recipe for low adoption and meager return on investment.
Despite the hype surrounding many other analytics technologies, businesses today continue to find the most value in using business intelligence and reporting dashboards. "A lot of people discount reporting and dashboards, but you shouldn't because they're the mainstay of BI," said Howard Dresner, founder of analyst firm Dresner Advisory Services.
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 Obama AND Romney or Obama + Romney.
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, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
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".