Sentences with phrase «see data about»

Select a city to see data about insolvencies by region in Ontario.
The ability to see data about how well your links perform, including the stores that more of your readers prefer.
And then at the school and classroom level, people have to see data about student performance as a tool for continuous improvement, and not as a «gotcha» exercise.
«If we want more men in the classroom, we'll need to see some data about the benefits of a gender - balanced corps,» he notes.
On the day when first you see data about mobile web usage in America — and your jaw drops — don't say you weren't warned.
And in 2006, the Spitzer Telescope (launched in 2003 as the Space Infrared Telescope) collected never - before - seen data about the Orion Nebula.
(I've heard critics say that this does occur, but I haven't researched it myself or seen any data about it)

Not exact matches

Keane also declined to talk about future data center locations, only to say that they would be built in places where Microsoft likely sees big business opportunities.
Reading this article on the future of Google, it's disappointing to see Canadian Business lend credence to common misconceptions about how data is used online.
About half of Splunk's data analytics software sales derive from its security business, which has seen a growth spurt in recent years.
A couple of weeks ago, I was dismayed to see the headlines about how ESPN is looking to strike a deal with U.S. cellphone companies to exempt its video services from data caps.
It also promised that new settings it was rolling out will offer «more control over ads you see and more transparency about the data shared with advertisers.»
Even as corporate earnings continue to soar and big companies appear to be very profitable, I've remained cautiously optimistic about the economy, because the SurePayroll Small Business Scorecard data doesn't reveal the uptick in hiring we've wanted to see.
The institute generates about six terabytes of data a day, and it often falls on Wang to see the forest through the trees.
Robbins pointed to a new data center switching product that «saw slightly positive growth on orders» and that he's «cautiously optimistic» about increased demand.
But what we are seeing now is that that payment data can be combined with other datasets, in order to prove or disprove assumptions about customers and to drive a degree of personalization through all of the one - to - one marketing channels.
A senior Yahoo executive addressed a massive security incident on Wednesday, offering additional details about a breach that saw hackers steal personal data from more than 500 million customer accounts in late 2014.
Every marketer will have access to every customer they are touching and targeting and every consumer will have trust because they will be able to click a Jahia - powered website privacy link to see what everyone in the company knows about you, and you can say what data you want anonymized, deleted and even where the data should be stored.
We see a real worry about the increasing cost of storing data.
Pairing on - premises computing with cloud data centers is an example of what techies call «hybrid cloud,» and is seen by most tech vendors — other than Amazon — as a key advantage over Amazon, which is mostly about moving customer data and applications into AWS facilities.
Another meta - trend I see is extreme personalization, where data is about what I want, when I want it and where I want it, and consequently, service providers that can provide that to me.
The new offering, «Watson for Patient Safety,» will gobble up anonymized medical records, claims data, and millions of electronic submissions to the FDA about potential drug side effects (known as individual case safety reports) to see if it can learn about the hidden dangers of medicines before they become too costly.
Erin Burchfield, Loop's co-founder, says she sees potential for selling raw data about Loop users to third - party companies another way of making money.
Some politicians find polling to be a little old fashioned, so they're using big data to see what the public thinks about them.
It's not just about the data — it's also about having the smarts to see how it can be used.
«What we thought and we had envisioned is the cost of the newly enrolled would end up approaching that of the [employer - insured] group market, but we're seeing in the data we have today it is actually about 20 percent higher than in the group market,» said Alissa Fox, senior vice president for policy and representation at BCBSA, in an interview with Morning Consult.
Data storage provider Nimble Storage saw its shares rise about 2 percent after it reported an adjusted second - quarter loss of 10 cents a share, narrower than the loss of 11 cents a share analysts were predicting.
When we look at the data globally, we often see the research and attention on women at the top or on the board, but the biggest issue is really the drop - off at the middle - management stage, where women leave at about twice the rate men do.
Their goal was to make marginally more correct decisions than their competitors, in the long haul, and to do so they implemented an analytically rigorous system that not only processed all of the bleeding edge metrics they could find or create, but also heavily incorporated data from old fashioned sources: scouts, who could see things about a player's potential and character that numbers couldn't.
Using mean values suggests that Canada lags the US by about 17 % (2009 data Wikipedia, but if one uses median values, the gap drops to about 7 % (see this Mark Thoma blog for the Distribution of Income in OECD Countries.
John Scott - Railton, who researches digital rights and privacy at the Citizen Lab at the University of Toronto, said he recently thought back to all the PowerPoint presentations and papers he had given and seen that cautioned about how third parties might access and abuse user data.
«Lots of stories about apps misusing Apple data, never seen Apple notify people,» Zuckerberg's notes say.
First up was the Senate, where he faced tough questions about the company's mishandling of data, and said Facebook was investigating «tens of thousands of apps» to see what information they harvested.
Bauer said he's seeing a mismatch between the data and the anecdotes he hears from industry leaders about their businesses and their outlooks.
To find out more about the reasons why and the extent to which Facebook collects data, how the data is further processed and used, your rights in the matter, and settings options you can choose that protect your privacy, please see Facebook's Data Protection Policy which can be found at: www.facebook.com/about/privdata, how the data is further processed and used, your rights in the matter, and settings options you can choose that protect your privacy, please see Facebook's Data Protection Policy which can be found at: www.facebook.com/about/privdata is further processed and used, your rights in the matter, and settings options you can choose that protect your privacy, please see Facebook's Data Protection Policy which can be found at: www.facebook.com/about/privData Protection Policy which can be found at: www.facebook.com/about/privacy.
You've made all these announcements in the last few days about the changes you're going to make, and I don't really see how those announcements or changes limits the amount of type of data that Facebook uses in an effective way.
In this morning's hearing with the House Energy and Commerce Committee, New Mexico Representative Ben Lujan cornered Mark Zuckerberg with a question about so - called «shadow profiles» — the term often used to refer to the data that Facebook collects on non-users and other hidden data that Facebook holds but does not offer openly on the site for users to see.
These networks are also a great way to enhance the data you already have about people, and see how they are connected to other people within their own organizations or whom you know.
The he - said - she - said of the scandal seems to be amplifying as Facebook continues to endure criticism about weak data privacy policies and enforcement that led to the Cambridge Analytica fiasco that's seen Facebook's market cap drop nearly $ 100 billion.
At Facebook founder and CEO's Mark Zuckerberg's hearing before the House Energy and Commerce Committee on Wednesday, lawmakers were blunt about what they see as the company's flaws — its inadequate self - policing, lack of transparency, and reluctance to give users more control over their own data.
Zuckerberg also repeatedly and recklessly sought to conflate the ability of Facebook users to control who sees the information they post on Facebook and their relative inability to control what data Facebook collects about them.
At times, including in questioning by Representative Greg Walden on Wednesday, Zuckerberg answered direct questions about Facebook's data harvesting by talking about Facebook's features for choosing who can see a photo or post on Facebook.
Rep. Ben Luján (D - NM) pushed Zuckerberg on whether people without Facebook accounts can control how their information is collected and used, see what Facebook collects about them, or delete the data.
What followed was the introduction of the Graph API, which was the means by which Facebook would facilitate the data exchange, and as you can see on an old Facebook developer page, Facebook was willing to give away just about everything:
For more information about how Help Scout stores and secures customer and company data, please see our Security Policy.
The author suggests an approach that borrows from tech's own playbook on experimentation: Collect detailed data on bias in your organization, identify company - specific ways to measure its effect, create hypotheses about how to move those metrics, and then throw some spaghetti at the wall and see what sticks.
«You can even look at intent data to see what topics companies care about and try to identify your target accounts that way.
German retail sales see modest rise in March German retail sales rose less than expected in March, preliminary data showed on Monday, raising concerns about the support that private consumption can provide for the German economy in a period of flagging global demand.
The companies would upload data about themselves; if the algorithms liked what they saw, the venture fund would back them.
I was anxious to get more data about our portfolios since the beginning of time and dug a little a further to see how our portfolios have performed.
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