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Mastering the Art of Problem Solving
When President Bill Clinton chose to intervene in the Somali civil war in 1993, the Battle of Mogadishu resulted in thousands of Somali citizens killed, two American Black Hawk helicopters shot down,…

WHAT ABOUT THE DATA?
Increasing amounts of data can be unmanageable, and the problem of sorting through data overloads may only worsen in this digital era. Rather than looking at each bit of information as a discrete data point, we want to look at our drivers and sort the data according to which driver it supports--on other words, sort the data into each of the half-dozen or so driver categories, so analysts have few piles to deal with rather than a thousand discrete data points.
decision_making  howto  problem_solving  problem_framing  security_&_intelligence  CIA  books  information_overload  analysis  interviews  critical_thinking  book_reviews  Philip_Mudd  frameworks  insights  sorting  analysts  thinking_backwards  problem_definition  intelligence_analysts 
may 2015 by jerryking
Meet the SEC’s Brainy New Crime Fighters - WSJ
By SCOTT PATTERSON
Updated Dec. 14, 2014

The SEC is mustering its mathematical firepower in its Center for Risk and Quantitative Analytics, which was created last year soon after Mary Jo White took charge of the agency to help it get better at catching Wall Street misconduct. The enforcement unit, led by 14-year SEC veteran Lori Walsh, is housed deep within the warrens of the SEC’s Washington headquarters, and staffed by about 10 employees trained in fields such as mathematical finance, economics, accounting and computer programming.

Ms. Walsh says access to new sources of data and new ways of processing the data have been key to finding evidence of wrongdoing. “When you look at data in different ways, you see new things,” she said in an interview
alternative_data  analysis  analytics  arms_race  data  data_driven  enforcement  fresh_eyes  hiring  information_sources  mathematics  misconduct  models  modelling  patterns  perspectives  quantitative  quants  SEC  stockmarkets  Wall_Street 
december 2014 by jerryking
Ken Lombard, on Staying a Student of Business - NYTimes.com
By ADAM BRYANT
Published: July 6, 2013

When I go and speak to B-school students, the point I try to emphasize is, don’t stop being a student of the game. Don’t think that when you get out of this institution with your degree that now you walk on water. This should make you hungrier than you’ve ever been, because there are people who are coming out with fewer credentials who are very, very hungry....The time I spent working with Howard Schultz at Starbucks [as president of Starbucks Entertainment] was a tremendous learning experience for me in a lot of ways. He was very disciplined in that he was such a thorough and deep thinker, and would really commit to diving in and looking closely at any particular situation, and would turn over every stone. But he would not get stuck on the analysis side, and would have the guts to make the decision, and not accept the status quo....I’m a guy who comes from hard work, and I’m a guy who comes with an approach that says, before I make a tough decision, I want to be on the ground, I want to roll up my sleeves and understand the opportunity. While I understand that analysis tells you what you need to hear in how you need to structure a deal, there’s a difference between deal makers and analysts. Analysts can tell you everything wrong with the deal; the deal maker is going to try to figure out a way to come up with a structure that makes sense.

That doesn’t mean you should ignore what the numbers tell you, but you should try to figure out a structure that mitigates your downside. I try to make sure they understand that deal-making takes some guts. You can’t develop that in a short period. You have to be willing to go out and get the experience, and not think that this is going to happen for you overnight.

You can speed up the learning curve by positioning yourself in a way so people who have the experience want to help you. You have to make it conducive for them to really want to provide you with the information. Then become a sponge. That will help accelerate some of it. Go to someone who has done this before and try to get them to provide you with some guidance, so you’re not reinventing the wheel.
African-Americans  Magic_Johnson  commercial_real_estate  Starbucks  torchbearers  entrepreneur  dealmakers  deal-making  learning_curves  mentoring  life_long_learning  analysis  hard_work  Jason_Isaacs  risk-mitigation  staying_hungry  analysts  assessments_&_evaluations  playing_in_traffic  reinventing_the_wheel 
july 2013 by jerryking
Insights with Sir Martin Sorrell
Q3 · 2011 | Think Quarterly by Google | by Simon Rogers. For
Sorrell, that lack of control is symptomatic of the new world. “I’m in a
business where there’s complete anarchy. You can’t control it – you can
only react to it. The control traditionally held over the msg. is gone.
Look at Wikileaks: we approach everything we write on the basis it’s
going to be on the front pg. of the newspaper.”...His business
increasingly revolves around mobile comms. & what they can offer the
client. WPP encourages its established brands to invest in mobile
talent, and exhorting its online agencies to embrace mobile in a more
aggressive way...“Mobile is part of the online revolution,” he says. The
side effect of all this is that “our willingness to sit down and dig
deep and reflect is diminishing because so much info is coming at such a
pace – literally 24/7. He continues. “People used to say that info. is
power but that’s no longer the case. It’s analysis of the data, its use –
that's the power.
innovation  mobile  Martin_Sorrell  brands  interviews  WPP  advertising_agencies  data  analysis 
august 2011 by jerryking
Reinventing business research | timetric.com
Great research deserves to be presented well

If you're in the business of publishing research — whether you're making
it available for free to as wide an audience as possible, selling
subscriptions, or selling reports and datasets on a one-off basis —
Timetric can help you do it faster, cheaper and more effectively.

Faster: Timetric's library of public data, gallery of visualizations
and API let you get going right away.

Cheaper: Timetric's software-as-a-service; that means low (often
zero) setup cost and very competitive ongoing pricing. We're so
confident that Timetric will make you more effective that we're happy to
work on a revenue-share basis.

More effectively: There's a reason we're one of the ten best places
to see 'sexy' data online; not only do services built on Timetric look
(and work) great, because the graphs are sharable and social they get
into the media, bringing you more (and more engaged) readers.
DaaS  visualization  infographics  statistics  data  tools  charts  analytics  web  analysis  Freshbooks  value_propositions  JCK 
july 2011 by jerryking
PeteSearch: How to turn data into money
October 20, 2010 by Pete Warden. The most important unsolved
question for Big Data startups is how to make money. Here's a hierarchy
showing the stages from raw data to cold, hard cash:
(1) Data. You have a bunch of files containing info. you've gathered,
way too much for any human to ever read. You know there's a lot of
useful stuff in there though, but you can talk until you're blue in the
face & the people with the checkbooks will keep them closed. The
data itself, no matter how unique, is low value, since it will take
somebody else a lot of effort to turn it into something they can use to
make $. (2) Charts. Take that massive deluge of data and turn it into
some summary tables & simple graphs. You want to give an unbiased
overview of the info., so the tables & graphs are quite detailed.
This makes a bit more sense to the potential end-users, they can at
least understand what it is you have, and start to imagine ways they
could use it. (3) Reports; (4) Recommendations.
analysis  commercialization  data  data_driven  data_marketplaces  data_scientists  entrepreneurship  hierarchies  ideas  InfoChimps  massive_data_sets  monetization  value_creation  visualization 
july 2011 by jerryking
In a Data-Heavy Society, Being Defined by the Numbers - NYTimes.com
By ALINA TUGEND
Published: April 22, 2011
“Numbers make intangibles tangible,” said Jonah Lehrer, a journalist and
author of “How We Decide,” (Houghton Mifflin Harcourt, 2009). “They
give the illusion of control.”[stories, anecdotes, and ratios make numbers memorable. See also Pinboard article, "To Persuade People, Tell Them a Story"]

Too many people shopping for cars, for example, get fixated on how much
horsepower the engine has, even though in most cases it really doesn’t
matter, Mr. Lehrer said.

“We want to quantify everything,” he went on, “to ground a decision in
fact, instead of asking whether that variable matters.” [jck: that is, which variables are incisive, worth paying attention to, act as signal in a sea of noise?]
obsessions  rankings  data_driven  metrics  statistics  analysis  incisiveness  quantitative  Jonah_Lehrer  dangers  intangibles  meaning  sense-making  data  illusions  false_confidence  anecdotal  books  sense_of_control  storytelling  decision_making  overquantification 
april 2011 by jerryking
Goldman Slapped
April 22, 2010 | BusinessWeek | By Jonathan Weil. A civil
suit and a Senate scolding won't be enough to make Wall Street's
wealthiest firm fly right. Article provides excellent analysis of the
role of each of the players in the upcoming SEC-GS civil suit.
Lloyd_Blankfein  Goldman_Sachs  forward_looking  analysis  due  SEC 
april 2010 by jerryking
Paying for the public life
May 2001 | Economic Development Quarterly Vol. 15, Iss. 2; pg. 124, 8 pgs | by Paul R Levy.
BIAs  analysis  surveys  census 
june 2009 by jerryking
So You Think You Understand Revenues
May 2007 | Harvard Business Online | Robert Shaw &
Vincent-Wayne Mitchell. How much does it cost to drive up revenues in
your firm by 1%? Which factors—advertising, sales promotions, direct
marketing, product innovation—have the biggest effect on revenue growth?
revenues  components  analysis  HBR  filetype:pdf  media:document  revenue_growth  revenue_generation  cost_of_sales  advertising  sales_promotions  direct_marketing  product_innovation 
may 2009 by jerryking
The Data Mining Renaissance
Friday, April 10, 2009 | Gigaom | Gary Orenstein.

the web changed the way we radiate and consume information and in doing so, created a new opportunity to measure and monetize it. Faced with more user data, logging information, and web content than anyone thought one system could handle, the major web companies developed highly scaled data warehousing solutions themselves. Armed with these tools, they improved customer resonance by building better recommendation engines, more targeted advertising networks and more intricate campaigns.
data  analytics  analysis  data_mining  renaissance  digital_storage  massive_data_sets  tools  value_creation 
may 2009 by jerryking
The Community Network Solution
11-28-07| strategy+business | by Karen Stephenson
“heterarchies”: high-trust connections among particular groups of three or more organizations.
Applicable to Toronto economic development idea to spur entrepreneurship?? for Rob Berry
social_networking  networks  relationships  analysis  economic_development  social_capital  toronto  Communicating_&_Connecting  OPMA 
april 2009 by jerryking
Value play or value trap? Start by looking at the customers
Saturday, February 24, 2007 | The Globe & Mail | AVNER
MANDELMAN

Article reinforces the importance of industry analysis. "the quality of
the business." Some businesses are good, some businesses are not good,
and some are downright lousy".
Avner_Mandelman  research  analysis  industries  value_investing/investors 
march 2009 by jerryking
After 50 years, Journal enters weekend fray
Monday, September 12, 2005 G&M article by SHAWN MCCARTHY.
Adopt to understand how to offer analysis and context. "The key to
success for The Wall Street Journal or any business publication is to
provide context and analysis, to explore trends in the financial world,
and to profile decision makers,""Our whole goal is to be a lighthouse as
opposed to a street light; to show people where things are going and
not where they are."
analysis  WSJ  Trends  newspapers  HeyMath  mathematics  contextual  Waudware  thought_leadership 
february 2009 by jerryking
Doing knowledge management
Joseph M Firestone, Mark W McElroy. The Learning Organization.
Bradford: 2005. Vol. 12, Iss. 2; pg. 189, 24 pgs

More recently, social network analysis (SNA) (Cross and Parker, 2004) is
being used to discover the structure of relationships in existing
communities, as well as the existence of clusters of social
relationships that can form the nuclei of new communities not yet
self-organized.
social_networking  analysis  Diaspora  ethnic  mapping 
february 2009 by jerryking
Five grand challenges for library research
Michael K Buckland. Library Trends. Urbana: Spring 2003. Vol.
51, Iss. 4; pg. 675

LIBRARY COMMUNITIES: HOW DO COMMUNITIES DIFFER?

There is a long-established tradition of library research on the
communities being served, especially of demographic factors associated
with library use or nonuse. In several other fields there has been
increased interest in the study of communities. Examples include the
mapping of social networks, analysis of ethnic Diasporas, and the
formation of virtual communities over the Internet. It would be
interesting to see whether the analysis of library-related communities
could now be advanced by drawing on these newer forms of community
analysis and also by incorporating some related library phenomena.
social_networking  Diaspora  ethnic_communities  analysis  mapping  libraries 
february 2009 by jerryking

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