Mathias Golombek, CTO at Exasol, writes on how businesses are adapting to incorporate new data strategiesBig data is no longer just hype and a buzzword. However, focussing on the term big data is missing the point. We have moved on to a place where business-oriented ‘data strategies’ should be the focus. By changing the focus from big data to data strategies, businesses and teams are starting to see real value being delivered from data insights.
Daniele Màtyàs Tieghi, CTO and product manager at Mon-K Data Protection, discusses why businesses would be advised to reassess their data protection investmentsOver the last five years, companies have had to face increasing costs of cyberattacks and data breaches. In 2015, the cost of cyber attacks globally was $480 million (approx. £361 million). In 2016, this figure rose to $3.1 billion and the dramatic trend is far from slowing – some forecasts even citing $2.1 trillion by 2019.
Ahead of his keynote session at Big Data World, Frankfurt 2017, Ronald van Loon, Director at Adversitement, discusses the trends in customer experience which are driving demand for big data and artificial intelligence solutionsDue to the growing number of smartphones, tablets, laptops, IoT devices and sensors in today’s digital world, a point of sale is wherever a customer is located. “Customers want responsive, seamless experiences.
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".