In: Operations Management
Please read the following article: What's the Dollar Value of Online Patient Chatter?
On the Internet, people talk about everything, even their illnesses. Treato, an Israeli data-mining company, monitors conversations on Facebook, Twitter, and patient forums for information on drug side effects and prescription patterns. It then sends weekly or monthly analyses of the chatter to hedge funds and money managers that invest in pharma stocks. Ofir Levi, head of life-science research at Israel's Adamas Healthcare Fund, turned to Treato with a hunch. The prostate cancer drug Xtandi, co-developed by Astellas Pharma and Medivation, is approved in the U.S. only for patients who've already had chemotherapy. Levi suspected physicians might be prescribing it offlabel for use before chemo. "By looking at patient discussions, we figured that pre-chemo patients were also getting this drug," he says. That appeared to confirm Levi's guess that the market for Xtandi was probably larger than the approved patient population. His hedge fund bet on Medivation and was rewarded when the company reported better-than-expected first-quarter sales of the drug on May 8 and its shares gained as much as 8 percent in trading that day. "For the first time, investors don't have to listen to the CFO" to find out how a drug is doing, says Ido Hadari, chief executive officer of six-year-old Treato.
So-called expert network companies, such as Gerson Lehrman Group and MedaCorp, have thrived by putting investors in touch with doctors, researchers, and other health professionals. Treato's selling point is big data. Its software reviews "tens of thousands" of patient forums and informal discussions daily, Hadari says. Individuals aren't identified; instead, the company seeks to find trends in how drugs are used and what problems consumers are experiencing. Companies such as Saama Technologies and Signals Intelligence Group pitch what they call social listening services to drugmakers and health insurers. But closely held Treato is one of the few also putting its algorithms to work for the investment community, according to Brigham Hyde, vice president for data science at Decision Resources Group, a health-care consulting firm. "If it's proven you can actually make better investment decisions by using this, investors will flock to it," says Les Funtledyer, portfolio manager for Esquared Asset Management, which isn't a Treato client. The patient conversations monitored by Treato range from broad to granular. "I recently stopped using singular as I had a severe episode of depression," a patient wrote on Medications.com, in a thread the company's software dredged up even though the name of Merck asthma drug Singulair had been misspelled. Treato's archive on Pfizer cholesterol drug Lipitor includes more than 40,000 discussions, including one on Bodybuilding.com about cholesterol content in protein shakes and whether they're suitable for someone on Lipitor. Representatives for Pfizer and Merck declined to comment on the conversations Treato had gathered on their drugs.
While hedge funds now subscribe to its reports, Treato's main customers are pharma companies. Hadari says he counts nine major drugmakers as clients-he won't name them, saying he's bound by confidentiality contracts-and a "handful" of finance companies. He also declined to discuss pricing. According to the director for analytics at one pharma company who asked not to be identified for competitive reasons, the appeal of Treato's service is that it can deliver answers to such questions as why patients switch from one drug to another. Treato could face greater competition from patient forums. When Ed Sikov, a writer in New York, was diagnosed with Parkinson's disease in 2008, he joined PatientsLikeMe, a website that hosts forums on 2,000 conditions and has more than 250,000 members. "I'm not comfortable with investors making bets on what people are experiencing without the people themselves knowing they're being monitored," Sikov says. But he's all right with PatientsLikeMe, which clearly states that it sells the data it gathers to drugmakers listed on its site, including Abbott Laboratories and Bristol-Myers Squibb. Co-founder Ben Heywood hasn't ruled out selling information to health investors. The site's privacy policy says names, e-mails, and dates of birth aren't distributed.
Hyde, of Decision Resources, who has no firsthand experience with Treato, has yet to be convinced about the value of using social listening tools for investing. Patients may discuss a drug's side effects online, he says, but the issues they raise would affect a drugmaker's stock only if they attract the attention of the U.S. Food and Drug Administration and lead to restrictions on a drug's use. Says Hyde: "Data hasn't proven yet that signals lead to distinctive change in outcomes."
Please answer the following questions:
How much of an advantage will access to big data have for larger investors over smaller investors?
Will smaller investors likely have access to big data?
How should reports that accompany financial statements acknowledge some of the findings of data mining that a corporation might have uncovered?
Big data is an essential part of any organization which has different layers. It has a different stage which passes through raw statistics or unstructured data to an actionable structured data.
Has been giving broad favorable position to the association when contrasted with the association because of accessibility of steady observing abilities. As the majority of the greater associations are utilizing enormous information to dissect client conduct and executing the adjustment in their particular procedure of activity appropriately has made a negative effect on littler associations. Present day associations don't have explicit dimension of assets to consolidate enormous information investigation which straightforwardly diminishes the effect on accessibility of chances to estimate and structure their business procedures as needs be. The greater part of the greater associations anticipate the future pattern by breaking down the huge information and actualizing an appropriate gauging system in their operational conditions, this kind of accessibility of business determining empowers them to make items that straightforwardly line up with the norms of the market and diminish the effect of the littler associations as they don't have accessibility of estimating such an explicit Trends or some other factor. This is the principle motivation behind why the greater part of the greater associations are called innovators where associations are drift supporters and plan the creation as per the market Trends created by these huge associations which are used in enormous information as a primary apparatus for dissecting and building up a business criteria.