Monday, December 23, 2019

Analytics, Quantitative And Statistical Models - 1451 Words

Analytics, quantitative or statistical models to analyze problems may be applied to a variety of business problems, including customer management, supply chains, financial performance and many other. It is the back bone of any organization which helps in effective decision making. Today, it has creeped into each and every industry and has created a â€Å"perish or persist† scenario to the industries. Describe your company s position and ability to compete on analytics Analytics plays a major role in pharmaceutical industry in assessing the growth of sales, revenue, market share and ultimately growth of the company. I worked as a part of product management team in Fresenius-Kabi, a Germany based multinational Pharmaceutical Company. In countries like India, pharmaceutical companies have head to head competition to survive in the market. The company has a structured market analytics and research department rather than depending only upon the data from IMS. As a part of product management team I worked closely with the analytics department to secure data for marketing purposes. This process not only helped project managers in assessing the success of project to be implemented but also helping product managers in introducing a new product into the market and assessing their success rates. The company has a strong business intelligence platform and other analytical aspects. Thus using the data and competing on analytics made company to have a Lion’s market share in the basket ofShow MoreRelatedQuantitative Methods in Decsion Making Essay1584 Words   |  7 PagesCanyon University Quantitative Methods November 16, 2011 Decision Making Analytics competitors are leaders in their varied fields consumer products, finance, retail, and entertainment. For organizations to become and prosper as an analytics competitor they must use analytics data because many industries offer similar products and use comparable technologies, business processes are among the last remaining points of differentiation. And analytics competitors use everyRead MoreThe Forces Driving An Organization1621 Words   |  7 Pagesare the forces driving an organization to shift to analytics and be known as an analytical competitor? Analytics is when a particular organization uses large amount of data, predictive modeling, fact-based management, statistical analysis, quantitative analysis, and explanatory reasons in order to drive their business decisions and actions successfully (Harris 12). When an organization is trying to be analytically competitive, they are using analytics systematically and extensively to think outsideRead MoreThe Forces Dr iving An Organization1599 Words   |  7 Pagesare the forces driving an organization to shift to analytics and be known as an analytical competitor? Analytics is when a particular organization uses large amount of data, predictive modeling, fact-based management, statistical analysis, quantitative analysis, and explanatory reasons in order to drive their business decisions and actions successfully (Harris 12). When an organization is trying to be analytically competitive, they are using analytics systematically and extensively to think outsideRead MoreThe Concepts Of Big Data Analysis Essay1205 Words   |  5 Pagesanalysis. Furthermore the growing emergence and importance of qualitative data analysis in the field of business intelligence and data science is broadly explained .It also marks out effective tools and techniques used to obtain prominent qualitative analytic results on the global level. Moreover we have concluded on the basis of comparison of the tools depending on va rious factors and parameters by representing it on a tabular manner. I. INTRODUCTION Today, the data consumption rate is tremendouslyRead MoreThe Three Levels Of Analytics, Descriptive, Predictive, And Prescriptive1707 Words   |  7 Pageslevels of Analytics (Descriptive, Predictive, and Prescriptive). Give a brief example of how they might be used to solve business decisions. Descriptive: Descriptive Analytics, probably the most common type of analytics, is the process of describing and evaluating the historical data and recognizing patterns from samples. It serves as a foundation for more advanced analytics. An example of Descriptive Analytics would be discovering and reporting trends. Predictive: Predictive analytics uses dataRead MoreHow Analytics Helps An Organization Optimize Their Business Processes897 Words   |  4 PagesAnalytics is defined, according to online-behavior.com, as the â€Å"process of obtaining an optimal or realistic decision based on existing data.† [1]. Davenport and Harris (2007), defined analytics, as the â€Å"extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.† [2]. An article titled Outsmart the Competition by Jackie Zack in Teradata Online magazine states that â€Å"analytics can help an organization optimizeRead MoreIntroduction. Predictive Analytics Is Quantitative Analysis1371 Words   |  6 PagesIntroduction Predictive Analytics is quantitative analysis to support predictions. Predictions of for example - product sales, costs, headcount, metrics; customer churn; credit scoring; cross sell / up sell opportunities; market campaign response; anomalies, fraud. SAP Predictive Analytics is business intelligence software from SAP that is designed to enable organizations to analyze large data sets and predict future outcomes and behaviors. For example, SAP Predictive Analytics can help make sense ofRead MoreStatement of Purpose for a Career in Computational Finance1041 Words   |  4 PagesThe world of Finance is by no means a new concept for me. Watching â€Å"Mad money with Jim Cramer† videos on cnbc.com for his daily stock picks is a ritual. I would study the company’s business model, perform very rudimentary fundamental and qualitative analysis on these picks and if its intrinsic value matched the criteria set, I would add it to my portfolio on Investopedia.com. Apart from this, I also spent a considerable amount of time researching on various stock picking strategies to further strengthenRead MoreData Mining And Business Analytics1352 Words   |  6 PagesMIS 5375 580 SU15 Data Mining Business Analytics Midterm Exam Summer 2015 by Tamma Shanthipriya A00128661 DATA MINING AND BUSINESS ANALYTICS Data Mining is the computerized acknowledgment of diverse patterns in extensive data sets that are past analysis. It utilizes diverse mathematic algorithms to locate the right information as well as foresee the probability of future events. Some key properties that I learned in this topic are: †¢ discovery of useful patterns †¢ predictionsRead MoreA Brief Note On Big Data Analytics Techniques1179 Words   |  5 Pages3. BIG DATA ANALYTICS TECHNIQUES ‘Big Data’ is the application of specialized techniques and technologies to process very large sets of data. These data sets are often so large and complex that it becomes difficult to process using on-hand database management tools. There are several techniques which are widely used in implementation of Big Data. 1. Association rule learning: Association rule learning is a method for discovering interesting correlations between variables in large databases. It was

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.