Data & Informatics
Follow
Find
1.3K views | +0 today
 
Rescooped by Stephen Dale from Visualization Techniques and Practice
onto Data & Informatics
Scoop.it!

Types of Graphs | Graphs.net

Types of Graphs | Graphs.net | Data & Informatics | Scoop.it
Graphs are a visual treat, as they can present complex information in a quick and easy manner. Mostly graphs are used to reveal a trend, compare statistics or

Via Beth Kanter
Stephen Dale's insight:

A useful overview of different types of graphs and where they might be used.

more...
Beth Kanter's curator insight, December 30, 2012 4:07 PM

Handy cheat sheet for picking the right chart and graph.  Text description and infographic.    

From around the web

Data & Informatics
The application and usage of data along with the interaction between people, organisations and technology
Curated by Stephen Dale
Your new post is loading...
Your new post is loading...
Rescooped by Stephen Dale from Curation, Social Business and Beyond
Scoop.it!

Social Media Strategy: Why Insight and Evidence is So Important

Social Media Strategy: Why Insight and Evidence is So Important | Data & Informatics | Scoop.it

Via janlgordon
Stephen Dale's insight:

A timely call for a dispassionate, unbiassed and "agnostic" analysis of data to discover what it is really telling us, and then acting on this information. Sounds obvious? Then why are we so often misled through our ignorance of good and accurate data analysis? 

more...
Daniel Maina's comment, June 4, 2014 7:36 AM
Thanks for sharing:)
Daniel Maina's comment, June 4, 2014 7:36 AM
Thanks for sharing:)+
Daniel Maina's comment, June 4, 2014 7:37 AM
Thanks for sharing:)
Scooped by Stephen Dale
Scoop.it!

June 2015 Newsletter: Fostering a Data Ecosystem

June 2015 Newsletter: Fostering a Data Ecosystem | Data & Informatics | Scoop.it
Stephen Dale's insight:

A letter from the Development gateway CEO:


To foster a stronger data ecosystem, Development Gateway continues to engage with governments to support country ownership of data for better decision-making; with international organizations dedicated to improving data interoperability and uptake; and with innovative initiatives that work to close the feedback loop between governments and citizens.

more...
No comment yet.
Rescooped by Stephen Dale from Infotention
Scoop.it!

Inside NSA, Officials Privately Criticize "Collect It All" Surveillance - The Intercept

Inside NSA, Officials Privately Criticize "Collect It All" Surveillance - The Intercept | Data & Informatics | Scoop.it
“We in the agency are at risk of a similar, collective paralysis in the face of a dizzying array of choices every single day,” the analyst wrote in 2011. “’Analysis paralysis’ isn’t only a cute rhyme. It’s the term for what happens when you spend so much time analyzing a situation that you ultimately stymie any outcome …. It’s what happens in SIGINT [signals intelligence] when we have access to endless possibilities, but we struggle to prioritize, narrow, and exploit the best ones.”

Via Howard Rheingold
Stephen Dale's insight:

In an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes. What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.


Reading time 10mins

more...
Howard Rheingold's curator insight, June 2, 1:02 PM

This article details the NSA's infotention problem. More information and sophisticated tools for slicing and dicing it don't mean that analysts will notice what is important. 

Scooped by Stephen Dale
Scoop.it!

How Numbers Can Lie

How Numbers Can Lie | Data & Informatics | Scoop.it
While the idea of “scientifically engineered” solutions sounds attractive, we should remember that science isn’t about certitude, but skepticism. There is never a magic formula that can solve all our problems.
Stephen Dale's insight:

The article discusses the  tendency of economists to cloak ideology in obscure equations to give their views a false appearance of rigour. 

When managers say they are data driven and ROI focused they are usually more intent on professing a belief than delivering results. They are, essentially, accidental theorists, putting their faith in an abstract idea rather than engaging in any true analysis of cause and effect. Despite what many will tell you, numbers can lie and only fools follow them blindly..

 

Reading time: 5mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Displaying Visual Information

Displaying Visual Information | Data & Informatics | Scoop.it

Visual displays are extremely powerful tools, which means manipulation of these tools can spread inaccurate information and influence public perception. The sheer volume of images making their way through the Internet requires viewers to have a higher level of visual literacy than in years before in order to prevent manipulation.

 

This article covers:

1. The types of displays that can be misleading
2. What can be done to make visual displays less misleading

 

Reading time: 10mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

The Internet Of (Some) Things

The Internet Of (Some) Things | Data & Informatics | Scoop.it
In 2015, a modern-day gold rush has taken the technology sector by storm. A recent study discovered that 75 percent of executives surveyed said that Internet..
Stephen Dale's insight:

As many organisations currently undertaking IoT initiatives are discovering, the goal should not be to create the Internet of Everything; it should be to construct a “Network of Some Things” deliberately chosen and purposely deployed.

 

The IoT gold rush continues apace, driven by machines that decouple our awareness of the world from mankind’s dependency on consciously observing and recording what is happening. But machine automation only sets the stage. Real impact, business or civic, will come from combining data and relevant sensors, things, and people so lives can be lived better, work can be performed differently, and the rules of competition can be rewired.

 

Reading time: 3mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

How we sold our souls – and more – to the internet giants

How we sold our souls – and more – to the internet giants | Data & Informatics | Scoop.it
Adapted from Data and Goliath by Bruce Schneier
Stephen Dale's insight:

Whether or not you care about your personal data privacy, you should read this. It will conform your worst fears, or at least open your previously half-closed eyes to what is really happening as you surf the interweb. One extract caught my eye: 

 

"Our relationship with many of the internet companies we rely on is not a traditional company-customer relationship. That’s primarily because we’re not customers – we’re products those companies sell to their real customers. The companies are analogous to feudal lords and we are their vassals, peasants and – on a bad day – serfs. We are tenant farmers for these companies, working on their land by producing data that they in turn sell for profit"

 

Article by Bruce Schneier @schneierblog

 

Reading time: 10mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Power to the new people analytics | McKinsey & Company

Power to the new people analytics | McKinsey & Company | Data & Informatics | Scoop.it
Techniques used to mine consumer and industry data may also let HR tackle employee retention and dissatisfaction. A McKinsey Quarterly article.
Stephen Dale's insight:

McKinsey have developed an approach to retention: to detect previously unobserved behavioural patterns, they combine various data sources with machine-learning algorithms. Workshops and interviews are used to generate ideas and a set of hypotheses. Over time they collected hundreds of data points to test. Then ran different algorithms to get insights at a broad organisational level, to identify specific employee clusters, and to make individual predictions. Finally they held a series of workshops and focus groups to validate the insights from our models and to develop a series of concrete interventions.

 

The insights were surprising and at times counterintuitive. They expected factors such as an individual’s performance rating or compensation to be the top predictors of unwanted attrition. But analysis revealed that a lack of mentoring and coaching and of “affiliation” with people who have similar interests were actually top of list. More specifically, “flight risk” across the firm fell by 20 to 40 percent when coaching and mentoring were deemed satisfying.

 

Reading time: 7mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Power to the new people analytics | McKinsey & Company

Power to the new people analytics | McKinsey & Company | Data & Informatics | Scoop.it

The application of new techniques and new thinking to talent management is becoming more mainstream. The implications are dramatic because talent management in many businesses has traditionally revolved around personal relationships or decision making based on experience—not to mention risk avoidance and legal compliance—rather than deep analysis. Advanced analytics provides a unique opportunity for human-capital and human-resources professionals to position themselves as fact-based strategic partners of the executive board, using state-of-the-art techniques to recruit and retain staff.

Stephen Dale's insight:

Interesting application of data analytics to HR datasets, for the purposes of improving staff loyalty and retention rates.

 

Reading time: 6 mins

more...
No comment yet.
Rescooped by Stephen Dale from Content Curation World
Scoop.it!

Newsletter Curation: Top 6 Tools and Tips To Curate Your Own Weekly Newsletter

Newsletter Curation: Top 6 Tools and Tips To Curate Your Own Weekly Newsletter | Data & Informatics | Scoop.it

Via Robin Good
Stephen Dale's insight:

Robin Good (arch content curator) offers advice and his top six tools for curating your own weekly newsletter:


Reading time: 5 mins

more...
Pali's curator insight, March 10, 8:35 AM

Newsletter marketing is a ploy that is being successfully used by many industry tools and these tools can help you setup your newsletter. 

LibrarianLand's curator insight, March 11, 8:48 AM

Might make a good project for students; create your own newsletter.

Nedko Aldev's curator insight, April 5, 12:21 PM

 

170
Rescooped by Stephen Dale from Enterprise Social Network, Social Business & Collaboration News
Scoop.it!

Open Work: Using Social Software To Make Our Work Visible Again - Dion Hinchcliffe's Next-Generation Enterprises

Open Work: Using Social Software To Make Our Work Visible Again - Dion Hinchcliffe's Next-Generation Enterprises | Data & Informatics | Scoop.it
RT @dhinchcliffe: @simongterry In case it's interesting, I've described #wol + #socbiz as #openwork: http://t.co/4T7taI2jWR #wolweek http:/…

Via Mumba Cloud
Stephen Dale's insight:

Dion Hinchliffe talks about "Open Work": Open work, like open source, open standards, or even the more prosaic scholastic open house for that matter, has at its core the ethic that hiding the work process in shadows is generally counterproductive. Collaboration and teamwork work best when there is abundant communication, transparency, and therefore most important of all, trust in the process. Open work is the most likely and most direct route to enabling this. #socbiz


Reading time: 10mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

What the Web Said Yesterday

What the Web Said Yesterday | Data & Informatics | Scoop.it
The Web is continually erasing its past. The Wayback Machine aims to preserve its tracks. Jill Lepore reports.
Stephen Dale's insight:

Brewster Kahle is the founder of the Internet Archive (archive.org) and inventor of the Wayback Machine.


The Wayback Machine has archived more than four hundred and thirty billion Web pages.


The Wayback Machine is big, and getting bigger. You can’t search it the way you can search the Web, because it’s too big and what’s in there isn’t sorted, or indexed, or catalogued in any of the many ways in which a paper archive is organized; it’s not ordered in any way at all, except by URL and by date. To use it, all you can do is type in a URL, and choose the date for it that you’d like to look at. It’s more like a phone book than like an archive.


The Library of Congress has archived nine billion pages, the British Library six billion. Those collections, like the collections of most national libraries, are in one way or another dependent on the Wayback Machine; the majority also use Heritrix, the Internet Archive’s open-source code. The British Library and the Bibliothèque Nationale de France backfilled the early years of their collections by using the Internet Archive’s crawls of the .uk and .fr domains.


Copyright is the elephant in the archive.


Reading time: 15 mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Prying Eyes: Inside the NSA's War on Internet Security - SPIEGEL ONLINE

Prying Eyes: Inside the NSA's War on Internet Security - SPIEGEL ONLINE | Data & Informatics | Scoop.it
US and British intelligence agencies undertake every effort imaginable to crack all types of encrypted Internet communication. The cloud, it seems, is full of holes. The good news: New Snowden documents show that some forms of encryption still cause problems for the NSA.
Stephen Dale's insight:

A "must read" for anyone who cares about personal data privacy.


From the article:


"The fact that large amounts of the cryptographic systems that underpin the entire Internet have been intentionally weakened or broken by the NSA and its allies poses a grave threat to the security of everyone who relies on the Internet -- from individuals looking for privacy to institutions and companies relying on cloud computing. Many of these weaknesses can be exploited by anyone who knows about them -- not just the NSA".


Reading time: 15mins



more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Internet of Things video series: the tipping point has come

Internet of Things video series: the tipping point has come | Data & Informatics | Scoop.it
Predictions about the amount of devices that will be connected to each other via Internet of Things systems vary, but the numbers are always impressive: 50 billion to 212 billon devices. And although Van Der Bel says that the landscape can seem "big, noisy and confusing”, he offers consolation.
Stephen Dale's insight:

Rolls Royce and Formula 1 have been connecting monitoring technology for a long time, so there are lessons to be learned from the past. Now, a “tipping point has come”,  thanks to cheaper components and connectivity; the power of cloud computing; and the advancement of tools that enable you to exploit the data.


Video: 9mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

The era of "big data analytics" - WSI

The era of "big data analytics" - WSI | Data & Informatics | Scoop.it
While it may sound like a buzzphrase, there’s no denying that we are well and truly in the era of big data analytics. An ever-increasing portion of our daily lives, business and social relations are mediated by digital platforms and computational processes. The implications of these changes are both dramatic and subtle, and we are still only beginning to understand …
Stephen Dale's insight:

Many people fear that ubiquitous data collection and profiling will only undermine their autonomy, individuality and social solidarity. This is beginning to change, however, with a slew of new applications and initiatives designed to empower people to control their own data, and use it to serve their own purposes. 

 

Reading time: 3mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Machine Learning Goes Mainstream II: Guesswork Automates CRM With Digital Division Of Labor

Machine Learning Goes Mainstream II: Guesswork Automates CRM With Digital Division Of Labor | Data & Informatics | Scoop.it
Guesswork's strategy has been to build vertical applications on top of Google's Prediction API. Doraisamy contends that the lead qualification in his machine learning-powered product is 10x better than conventional CRM practices.
Stephen Dale's insight:

Google Search provides one of the most familiar examples of predictive intelligence. When you enter keywords in the search box, Google predicts what you are interested in and then presents you with results that match that intent. Since it released the first version of its Prediction API in 2010, Google has made some of these methods available to developers. Adoption among developers has not been high because machine learning requires a lot of infrastructure and validation to produce accurate results. But can we trust the decisions made by products using black box APIs and hidden algorithms?


Reading time: 8mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

10 Big Data Case Studies

10 Big Data Case Studies | Data & Informatics | Scoop.it
These 10 insurance companies developed cross-enterprise big data strategies, hired the right data scientists and staff members, and delivered impressive results.
Stephen Dale's insight:

Insurance Networking News, our sister brand, identified 10 insurance companies, across lines of business, that demonstrate true leadership in big data and analytics excellence by developing cross-enterprise strategy, delivering results from the corporate investment, and perhaps most importantly, identifying and recruiting key staff members with the right expertise. The strategies may vary, but the commitment is real.


Reading time: 30mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Disinformation Visualization: How to lie with datavis

Disinformation Visualization: How to lie with datavis | Data & Informatics | Scoop.it
Mushon Zer-Aviv dissects the beautiful lies inherent to many infographics, showing how these visuals can be as manipulative as a devious argument.
Stephen Dale's insight:

We don’t spread visual lies by presenting false data. That would be lying. We lie by misrepresenting the data to tell the very specific story we’re interested in telling. If this is making you slightly uncomfortable, that’s a good thing, it should. If you’re concerned about adopting this new and scary habit, well, don’t worry, it’s not new. Just open your CV to be reminded you’ve lied with truthful data before. This time however, it will be explicit and visual.

 

Reading time: 10mins

 
more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

How open data is transforming the business landscape | Information Age

The explosion of data has created the case for the free exchange of information – particularly in regard to public services. But a large opportunity also lies in creating solid business value
Stephen Dale's insight:

The article identifies three key benefits to businesses.


Firstly, it allows them to spot patterns and market opportunities faster than their competition. However, this is only the case if businesses have the right tools to analyse the data.


Secondly, it allows businesses to run more efficiently and productively by creating a feedback loop that is based on large data sets from the market and internal sources – often in real time.

 

Thirdly, the rapid growth of open data will spur innovation in ways we probably can’t imagine – leading to new products and new businesses.

 

Reading time 5 mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Are you ready to decide? | McKinsey & Company

Are you ready to decide? | McKinsey & Company | Data & Informatics | Scoop.it
Before doing so, executives should ask themselves two sets of questions. A McKinsey Quarterly article.
Stephen Dale's insight:

Two particular types of bias weigh heavily on the decisions of large corporations—confirmation bias and overconfidence bias. The former describes our unconscious tendency to attach more weight than we should to information that is consistent with our beliefs, hypotheses, and recent experiences and to discount information that contradicts them. Overconfidence bias frequently makes executives misjudge their own abilities, as well as the competencies of the business. It leads them to take risks they should not take, in the mistaken belief that they will be able to control outcomes.

more...
No comment yet.
Rescooped by Stephen Dale from Content Curation World
Scoop.it!

You Can Be a Trusted Guide To The Most Relevant Information Online: Not Google

You Can Be a Trusted Guide To The Most Relevant Information Online: Not Google | Data & Informatics | Scoop.it




Via Robin Good
Stephen Dale's insight:

Put simply - Google (and for that matter any commercial search engine) may skew search results to promote their own commercial interests. The question to ask yourself is "are the (search) results good enough?" - I'd say in Google's defence "yes they are".

 

Reading time: 5mins

more...
rwestby's curator insight, March 29, 8:07 PM

 A bit of a lengthy read but certainly worth a look and the thoughts it provokes.

WSI Digital Wave's curator insight, April 2, 7:22 AM

https://plus.google.com/+PaulMathewsWSI/posts

Nedko Aldev's curator insight, April 5, 12:21 PM

 

167
Rescooped by Stephen Dale from Knowledge Broker
Scoop.it!

A Sucker Is Optimized Every Minute

A Sucker Is Optimized Every Minute | Data & Informatics | Scoop.it

Now that we have hard data on everything, we no longer make decisions from our hearts, guts or principles.


Via Kenneth Mikkelsen
Stephen Dale's insight:

Data optimisation - the antidote to common sense?

 

Reading time: 8mins

more...
Kenneth Mikkelsen's curator insight, March 18, 8:05 AM

Not long ago, our blockbuster business books spoke in unison: Trust your gut. The secret to decision-making lay outside our intellects, across the aisle in our loopy right brains, with their emo melodramas and surges of intuition. Linear thinking was suddenly the royal road to ruin. Dan Ariely’s “Predictably Irrational” tracked the extravagant illogic of our best judgment calls. The “Freakonomics” authors urged us to think like nut jobs. In “Blink,” Malcolm Gladwell counseled abandoning scientific method in favor of snap judgments. Tedious hours of research, conducted by artless cubicle drones, became the province of companies courting Chapter 11. To the artsy dropouts who could barely grasp a polynomial would go the spoils of the serial bull markets.



No more. The gut is dead. Long live the data, turned out day and night by our myriad computers and smart devices. Not that we trust the data, as we once trusted our guts. Instead, we “optimize” it. We optimize for it. We optimize with it.

Rescooped by Stephen Dale from Learning Technology News
Scoop.it!

Directory of Open Access Journals

Directory of Open Access Journals | Data & Informatics | Scoop.it

The aim of the DOAJ is to increase the visibility and ease of use of open access scientific and scholarly journals, thereby promoting their increased usage and impact. The DOAJ aims to be comprehensive and cover all open access scientific and scholarly journals that use a quality control system to guarantee the content.


Via Nik Peachey
Stephen Dale's insight:

An excellent research resource.

more...
johanna krijnsen's curator insight, March 4, 9:35 PM

DOAJ Directory of Open Access Journals uses a quality control system to guarantee the content

Johan van der Merwe's curator insight, March 6, 4:08 AM

Applicable for research

Corrina Phoenix Miss English's curator insight, April 29, 1:40 PM

Hopefully, this will be very useful in academic writing.

Scooped by Stephen Dale
Scoop.it!

Getting big impact from big data | McKinsey & Company

Getting big impact from big data | McKinsey & Company | Data & Informatics | Scoop.it
New technology tools are making adoption by the front line much easier, and that’s accelerating the organizational adaptation needed to produce results. A McKinsey Quarterly article.
Stephen Dale's insight:

Few areas are experiencing more innovation and investment than big data and analytics. New tools and improved approaches across the data-analytics ecosystem are offering ways to deal with the challenge of achieving scale. Three hold particular promise:-


- The emergence of targeted solutions from analytics-based software and service providers that are helping their clients achieve a more direct, and at times faster, impact on the bottom line.


- New self-service tools are building business users’ confidence in analytics. One hot term gaining traction in the analytics world is “democratization.” Getting analytics out of the exclusive hands of the statistics gurus, and into the hands of a broad base of frontline users, is seen as a key building block for scale.


- It’s becoming much easier to automate processes and decision making. Technology improvements are allowing a much broader capture of real-time data (for example, through sensors) while facilitating real-time, large-scale data processing and analysis.


But, do non-expert users of these analytic tools really understand what the algorithms are doing? Isn't there a danger of becoming increasingly dependent on AI and automation and less on human knowledge and common sense?


Reading time: 15mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Gapminder World Poster 2013

Gapminder World Poster 2013 | Data & Informatics | Scoop.it
Stephen Dale's insight:

In general, richer countries have longer lives, but on the same income level there are huge differences in lifespans, especially on Middle Income levels, where most people live. Health outcomes depend a lot on how income is distributed and how it is used.

 

This chart uses the revised exchange rates for Purchasing Power Parity from the World Bank. You can interact with the chart here, or download and print the Gapminder World Poster 2013.

 

Reading time: 15mins

more...
No comment yet.
Scooped by Stephen Dale
Scoop.it!

The World's Biggest Data Breaches, In One Incredible Infographic

The World's Biggest Data Breaches, In One Incredible Infographic | Data & Informatics | Scoop.it
Seeing them all together is jarring.
Stephen Dale's insight:

The scale and impact of data security breaches are getting bigger as time goes on. Complacency over the gradual erosion of privacy remains consistent!

 

Reading time:10mins

more...
No comment yet.