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jerryking : data_management   5

Water Data Deluge: Addressing the California Drought Requires Access to Accurate Data - The CIO Report - WSJ
April 22, 2015| WSJ | By KIM S. NASH.

California, now in its fourth year of drought, is collecting more data than ever from utilities, municipalities and other water providers about just how much water flows through their pipes....The data-collection process, built on monthly self-reporting and spreadsheets, is critical to informing such policy decisions, which affect California’s businesses and 38.8 million residents. Some say the process, with a built-in lag time of two weeks between data collection and actionable reports, could be better, allowing for more effective, fine-tuned management of water.

“More data and better data will allow for more nuanced approaches and potentially allow the water system to function more efficiently,”...“Right now, there are inefficiencies in the system and they don’t know exactly where, so they have to resort to blanket policy responses.”...the State Water Resources Control Board imports the data into a spreadsheet to tabulate and compare with prior months. Researchers then cleanse the data, find and resolve anomalies and create graphics to show what’s happened with water in the last month. The process takes about 2 weeks....accuracy is an issue in any self-reporting scenario...while data management could be improved by installing smart meters to feed information directly to the Control Board automatically... there are drawbacks to any technology. Smart meters can fail, for example. “The nice thing about spreadsheets is anyone can open it up and immediately see everything there,”
lag_time  water  California  data  spreadsheets  inefficiencies  municipalities  utilities  bureaucracies  droughts  vulnerabilities  self-reporting  decision_making  Industrial_Internet  SPOF  bottlenecks  data_management  data_quality  data_capture  data_collection 
april 2015 by jerryking
Big Data Is A Big Factor In 2012                     
Mar 30 2012 | Campaigns & Elections | By Brett Bell.

But as the social media industry continues to mature, so too does the level of sophistication in which campaigns and organizations apply social media tools and techniques. Campaigns are moving away from merely having a social media presence to leveraging social activity to inform and fuel campaign machines....For their part, the Obama campaign is focusing significant attention and resources towards data management. In a series of telling job postings this summer, Obama For America put out the call for data mining and predictive modeling analysts, appealing to the startup community, private sector and data managers within their own Party. One particular job description stated that successful candidates would assist in developing statistical and predictive models to assist in fundraising, digital media and other areas of the campaign....the Obama For America Campaign 2012 launched a Facebook application which requested permission to access your location, name, picture, gender, list of friends and other information that would be valuable to the campaign team
Campaign_2012  massive_data_sets  political_campaigns  data_scientists  data_driven  data_mining  microtargeting  behavioural_targeting  data_management 
january 2014 by jerryking
Data, Data and More Data
July-August 2013 | Campaigns & Elections | by Colin Delany.

...The picture often portrayed--the Obama campaign as a relentlessly efficient data juggernaut--paints over a lot of workarounds, hacks and improvisations. I'd heard this before, for example at CampaignTech in April, when Obama data manager Ethan Roeder had mentioned that plenty of the campaign's technology was held together with "duct tape and baling wire." He echoed that sentiment in Philadelphia, and he wasn't alone: Obama Chief Scientist Rayid Ghani said that for every mention of "data integration" on the campaign, he had "20 caveats" about how less-than-perfect it actually was in practice...Ghani said that the Obama voter file was actually the smallest data set he'd worked with as a technology professional, in part because people vote so rarely. Elections simply don't come around that often, and compared with commercial marketers (who can draw on thousands of purchases and other transactions to predict buying patterns), political campaigners don't have much historical data to work with.
data  data_driven  political_campaigns  Campaign_2012  Facebook  data_scientists  data_management 
december 2013 by jerryking
Identify new growth niche and how you can profit
March 19, 2013 | Financial Post | By Rick Spence.

Sparks: What other companies need unlikely solutions? How could you help them with data management, management of perishables, or guaranteeing consistent quality?
Sparks: What niche information markets could you develop and own? Or, what services could you offer to celebrity startups that have everything except business experience?
Spark: Retailers are eager to lock up new brands to differentiate themselves. How can you help more marketers achieve a competitive advantage?
Spark: What other marginal products and businesses will tech giants such as Google and Facebook drop next? How can you help users adjust? Or, what under-performers should you be trimming from your own product roster?
Sparks: Designers and builders should target early adopters eager for a colour makeover.
Spark: Where else can you find a business whose margins are so huge that Buy-One, Get-Three-Free makes sense? Or, when big names are offering value propositions like this, how can you retool your promotions and sales to compete?
Spark: How could you solve major problems like these without a supercomputer?
Spark: Gadgetry is changing so fast that even markets you thought had stabilized are wide open to new ideas. How can you use hot new technology to disrupt your industry?
Rick_Spence  growth  niches  entrepreneur  kill_rates  IBM_Watson  massive_data_sets  celebrities  ideas  entrepreneurship  new_businesses  solutions  disruption  under-performing  early_adopters  competitive_advantage  perishables  information_markets  adjustments  data_management  culling  differentiation  retailers  brands 
march 2013 by jerryking
The value is in the details
November 30, 2012 | FT.com | By Ravi Mattu.

Troy Carter is the Founder and CEO, Atom Factory. He's also
Lady Gaga's manager used the web to help build her career and is turning his sights to big data.

One of those friends was Joe Lonsdale, co-founder of the Palo Alto-based data management company Palantir. “He said, ‘Send me all the data you have.’ So, we sent him everything and he said it was the worst data he had ever seen in his life.” The problem wasn’t the amount of data – they had lots of it, from Ticketmaster, Lady­gaga.com and merchandise sales – but the quality. Existing social media platforms weren’t much better. “When you deal with Facebook, the information you get is geographical – what city people are logging in from, what time of day – but you don’t get the behavioural information to help you build a better experience.”
massive_data_sets  music_industry  Lady_Gaga  data_driven  Facebook  African-Americans  behavioural_data  entrepreneur  data_quality  haystacks  data_management  customer_experience  detail_oriented  Palantir 
february 2013 by jerryking

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