by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
this publication and page.
displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
GCN : April 2013
TECH ANALYSIS 30 GCN APRIL 2013 • GCN.COM ing data from across 35 municipalities to help them make smarter decisions about managing water resources, reducing traf- fic jams and fighting crime. IBM's Intel- ligent Operations Center (IOC), styled as an executive dashboard, will let city and county leaders scoop up informa- tion from one department and share it with others, thereby improving access to pertinent and time-sensitive information, Miami-Dade officials said. Miami-Dade County's Parks, Recre- ation and Open Spaces Department is also using predictive analytics and smart metering to help monitor water consump- tion and identify leaks remotely, accord- ing to Carmen Suarez, Miami-Dade's IT director. The county has 263 parks, spanning 12,845 acres of land, the third largest in the U.S. In the past, the system's aging water infrastructure had to be manually inspected to detect leaks or other prob- lems. The county was also hit with rising water costs that drained more than $4 million annually from its coffers. On top of that, the department had a complicated, labor-intensive process for collecting and analyzing historical data, all of which prompted officials three years ago to take a look at big data and analytics for managing city services. IBM's analytics dashboard will let county employees remotely monitor wa- ter consumption and detect leaks. The platform will also include a Web portal so they can easily view and share water consumption data with other depart- ments and monitor and manage overall water usage. The department is expected to reduce water consumption by 20 per- cent and generate $860,000 in savings per year. BIG DATA ON THE BEAT IBM predictive analysis tools will help the Miami-Dade incorporate intelligent po- licing techniques, reducing the time it takes officers to identify leads, investi- gate crimes and solve cases. The police department already had an advanced crime data warehouse, Suarez said. Us- ing IBM's technology, the police can link directly into park systems and other de- partments' operations to collaborate with other agencies and organizations. MDPD is using IBM SPSS (originally for Statistical Package for Social Sci- ence) predictive analytics tools to identify unique relationships and spot patterns. SPSS can hold information about stolen property, time of day, weapons used in crimes and victim details. From that in- formation, analysts can create a model of the type of suspect who might commit a particular crime, and then generate and filter a suspect list to help analyze the cas- es faster --- and in some cases, anticipate and prevent future events. CLAIMS FRAUD While Miami-Dade focuses on more ef- ficient services to citizens, the Inspector General of Illinois' Department of Health- care and Family Services is using analyt- ics to tackle insurance claims fraud. The department has used SAS Analytics for the state's Medicaid program to identify and prevent overpayments to health care providers, said Wayne Thompson, SAS product manager for predictive analytics. The SAS-based fraud platform uses his- torical data on previous fraud and abuse cases to develop fraud predictors. By us- ing the insights from known fraud cases, the system can spot provider collusion and identify undiscovered fraudulent providers and criminal networks, avoid- ing significant fraud-related financial losses each year, officials said. In the past, when agency officials sus- pected a person or provider of fraud, analysts had to perform a lengthy assess- ment, according to Weishin Wang, assis- tant bureau chief and project manager with the department. The agency has now fine-tuned its predictive models so the analytic software can direct analysts to targeted providers. It has also identi- fied routines, with interrelated patient in- formation, to spot suspicious networking activities among providers. The agency can detect fraudulent ac- tivities such as time-dependable billing, non-corresponding medical claims and double billing. Thompson said the agency also is finding patterns in social networks through a process call dynamic networks association. TAX CHEATING Agencies dealing with tax claims are in- creasingly turning to predictive analyt- ics, including the IRS and the Australian Taxation Authority, which is using SAS Enterprise Miner for debt collection, Thompson said. The IRS is also looking to analyze tax code changes and legislation as well as predict the impact of events such as Hurricane Katrina on tax revenues. For analysts to make decisions quickly, the analytics has to be in the database. At the IRS, for example, SAS Analytics is embedded in EMC's Greenplum data- base, which performs massively parallel processing. Performing analytics where the data resides is also a strategy Oracle has ad- opted. The company provides a predictive analytical engine called Oracle Data Min- ing within the company's relational da- tabases. "We want to have the right tool where the data lives," said Peter Doolan, the company's public sector CTO. But the real power of big data analyt- ics will be unlocked when analytic tools are in the hands of everybody, not just among data scientists who will tell peo- ple how to use it, according to Gus Hunt, the CIA's CTO, during a recent seminar on Big Data in Washington, D.C. "We are going to have to get analyt- ics and visualization [tools] that are so dead-simple easy to use, anybody can take advantage of them, anybody can use them," Hunt said. • Predictive analytics suggests looking into the future, but it can be applied to any type of unknown situation, past, present, or future, say experts.