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June 2018

Mohammad Anas Wahaj | 29 jun 2019

Collecting the right customer data and then understanding it to create usable insights is the key to e-commerce analytics success. But, implementing an effective and efficient analytics strategy and selecting the best tools and solutions from among many that are available in the market is no easy task. Ateeq Ahmad, consultant and founder of Albany Analytics, provides a set of ideas and road map to build an e-commerce analytics solution that would finally be used for predictive analysis. Mr. Ahmad outlines the process flow as - (1) Setting up data collection within current data sources. (2) Merging all data sources into one platform and automate such a collection. (3) Analyzing patterns in these datasets to build reports and dashboards based on KPIs. (4) Based on past behavior of customers, create prescriptive and predictive analytics around key metrics and goals. Data that is collected should include transactional data, social interactions and offline customer data. At the stage of merging all data sources into one central repository there are two possible methodologies - build own data warehouse or buy it from market. Of course, there are trade-offs involved in this selection. The best option seems to be to go initially for an available data merging tool, as it is cost effective, and then once sufficient experience and ROI is obtained graduate to build it in-house. Analyzing data and translating it into valuable business speak that paves the way for data-driven decision making is an essential part of successful analytics implementation. To provide right and timely predictive analyses it is critical to have an analytics team with strong data science expertise. Read on...

Albany Analytics Blog: A Paradigm for Business Intelligence Evolution
Author: Ateeq Ahmad


Mohammad Anas Wahaj | 28 jun 2019

Wikipedia explains 'Spin' as, 'A form of propaganda in public relations and politics that is achieved through knowingly providing a biased interpretation of an event or campaigning to persuade public opinion in favor or against some organization or public figure. While traditional public relations and advertising may also rely on altering the presentation of the facts, "spin" often implies the use of disingenuous, deceptive, and highly manipulative tactics.' Researchers (Paris Descartes University: Isabelle Boutron, Romana Haneef, Philippe Ravaud; Hôpital Hôtel Dieu, Paris: Amélie Yavchitz, Gabriel Baron; Inspire: John Novack; New York University: Ivan Oransky; University of Minnesota: Gary Schwitzer) in their study, 'Three randomized controlled trials evaluating the impact of "spin" in health news stories reporting studies of pharmacologic treatments on patients'/caregivers' interpretation of treatment benefit', published in journal BMC Medicine, found that participants were more likely to believe the treatment was beneficial when news stories were reported with spin. Prof. Gary Schwitzer of University of Minnesota and founder/publisher of HealthNewsReview.org, says, 'This is important research because misinterpretation of the content of news stories due to spin could have important public health consequences as news articles can affect patient and public behavior.' Prof. Schwitzer says that spin can originate in all stages of the flow of information from researchers to the public. Researchers suggest that spin can be managed by taking the following steps - Train researchers to understand how the public uses the media and, in response, frame their communication to the public in a way which is truthful, relevant, understandable and devoid of distortion or hype; Train PR professionals, journalists and other communicators to detect spin and accurately convey research results; Educate news consumers on the resources available to help them critically evaluate health claims; Support research for developing ideal approaches for communicating scientific and health information. Read on...

University of Minnesota News: Research Brief: Evaluating the effect of spin in health care news
Author: NA


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