Descriptive, predictive and prescriptive analytics ppt

Descriptive, predictive and prescriptive analytics ppt

Toggle navigation. Help Preferences Sign up Log in. View by Category Toggle navigation. Products Sold on our sister site CrystalGraphics. Description: The business intelligence is very necessary for solving problems, creating new methods and for business decision making by using various analytics data. There are various tools in type of data analysis such as descriptive analytics, predictive and prescriptive analytics, which are the future of business intelligence. Provided by: rachanapriya. Latest Highest Rated. There is high scope for the growth of the Prescriptive and Predictive Analytics Market in various regions across the globe through Prediction analytics and prescriptive analytics are collectively used for data intelligence and data mining applications such as Big Data through North America is one of the major investor of the Prescriptive and Predictive Analytics Market with many companies in this region providing analytical services and systems suggests IndustryARC analysis. China and India are the major markets for applications of this market through This market is poised to have rapid growth owing to the increasing investment by corporations for various types of business intelligence tools for analytics and growing utilization of prescriptive and descriptive data mining for intelligent solutions through Whether your application is business, how-to, education, medicine, school, church, sales, marketing, online training or just for fun, PowerShow. And, best of all, most of its cool features are free and easy to use. You can use PowerShow. Or use it to find and download high-quality how-to PowerPoint ppt presentations with illustrated or animated slides that will teach you how to do something new, also for free. Or use it to upload your own PowerPoint slides so you can share them with your teachers, class, students, bosses, employees, customers, potential investors or the world. That's all free as well! For a small fee you can get the industry's best online privacy or publicly promote your presentations and slide shows with top rankings. But aside from that it's free. We'll even convert your presentations and slide shows into the universal Flash format with all their original multimedia glory, including animation, 2D and 3D transition effects, embedded music or other audio, or even video embedded in slides. All for free. Most of the presentations and slideshows on PowerShow. You can choose whether to allow people to download your original PowerPoint presentations and photo slideshows for a fee or free or not at all. Check out PowerShow. There is truly something for everyone! Related More from user. Promoted Presentations. World's Best PowerPoint Templates - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. Boasting an impressive range of designs, they will support your presentations with inspiring background photos or videos that support your themes, set the right mood, enhance your credibility and inspire your audiences. Chart and Diagram Slides for PowerPoint - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects.

Descriptive analytics definition

Descriptive, predictive and prescriptive analytics ppt
The big data revolution has given birth to different kinds, types and stages of data analysis. Boardrooms across companies are buzzing around with data analytics - offering enterprise wide solutions for business success. However, what do these really mean to businesses? The key to companies successfully using Big Datais by gaining the right information which delivers knowledge, that gives businesses the power to gain a competitive edge. The main goal of big data analytics is to help organizations make smarter decisions for better business outcomes. Big data analytics cannot be considered as a one-size-fits-all blanket strategy. In fact, what distinguishes a best data scientist or data analyst from others, is their ability to identify the kind of analytics that can be leveraged to benefit the business - at an optimum. The three dominant types of analytics —Descriptive, Predictive and Prescriptive analytics, are interrelated solutions helping companies make the most out of the big data that they have. Each of these analytic types offers a different insight. A lioness hired a data scientist fox to help find her prey. Next, the fox estimated the probability of finding a given prey at a certain place and time, using advanced ML techniques. Also, it identified routes in the jungle for the lioness to take to minimize her efforts in finding her prey. Finally, based on above models, the fox got trenches dug at various points in the jungle so that the prey got caught automatically. Big data analytics helps a business understand the requirements and preferences of a customer, so that businesses can increase their customer base and retain the existing ones with personalized and relevant offerings of their products or services. The big data industry is growing at a rapid pace due to various applications like smart power grid management, sentiment analysis, fraud detection, personalized offerings, traffic management, etc. After the organizations collect big data, the next important step is to get started with analytics. Many organizations do not know where to begin, what kind of analytics can nurture business growth and what these different types of analytics mean. To help release your Data Science projects faster we have put together a library of solved code example. Click here to get free access. This type of analytics, analyses the data coming in real-time and historical data for insights on how to approach the future. The main objective of descriptive analytics is to find out the reasons behind precious success or failure in the past. The vast majority of big data analytics used by organizations falls into the category of descriptive analytics. A business learns from past behaviours to understand how they will impact future outcomes. Descriptive analytics is leveraged when a business needs to understand the overall performance of the company at an aggregate level and describe the various aspects. Descriptive analytics are based on standard aggregate functions in databaseswhich just require knowledge of basic school math. Most of the social analytics are descriptive analytics. They summarize certain groupings based on simple counts of some events. The number of followers, likes, posts, fans are mere event counters. The best example to explain descriptive analytics are the results, that a business gets from the web server through Google Analytics tools. The outcomes help understand what actually happened in the past and validate if a promotional campaign was successful or not based on basic parameters like page views.

Prescriptive analytics examples

We've covered a few fundamentals and pitfalls of data analytics in our past blog posts. In this blog post, we focus on the four types of data analytics we encounter in data science: Descriptive, Diagnostic, Predictive and Prescriptive. Note: This blog post was published on the KDNuggets blog - Data Analytics and Machine Learning blog - in July and received the most reads and shares by their readers that month. When I talk to young analysts entering our world of data science, I often ask them what they think is data scientist's most important skill. Their answers have been quite varied. My message to them is that their most important skill will be their ability to translate data into insights that are clear and meaningful to a non-quant. The Swedish statistician Hans Rosling is famous for this. The following TedTalk by Hans Rosling sheds some light:. On this theme, it would be worth unpacking some of the tools used to help individuals understand the role of analytics in helping develop valuable insights. One such tool is the 4-dimensional paradigm of analytics. Simplistically, analytics can be divided into four key categories. I'll explain these four in more detail below. Also see our guide to using machine learning in businesswhere we explore how to use machine learning to better tap into your business data and gain valuable, informing insights to improve business revenue. Designed by Freepik. This is the most common of all forms. In business, it provides the analyst with a view of key metrics and measures within the company. Similarly, an analyst could have data on a large population of customers. Understanding demographic information on their customers e. Utilising useful visualisation tools enhances the message of descriptive analytics. On the assessment of the descriptive data, diagnostic analytical tools will empower an analyst to drill down and in so doing isolate the root-cause of a problem. Well-designed business information BI dashboards incorporating reading of time-series data i. Predictive analytics is all about forecasting. Predictive models typically utilise a variety of variable data to make the prediction. The variability of the component data will have a relationship with what it is likely to predict e. These data are then compiled together into a score or prediction. In a world of significant uncertainty, being able to predict allows one to make better decisions. Predictive models are some of the most important utilised across many fields. Here are the Top Pitfalls to avoid in Predictive Analytics. The next step up regarding value and complexity is the prescriptive model. A prescriptive analysis is typically not just with one individual response but is, in fact, a host of other actions. An excellent example of this is a traffic application helping you choose the best route home and taking into account the distance of each route, the speed at which one can travel on each road and, crucially, the current traffic constraints. Another example might be producing an exam time-table such that no students have clashing schedules.

Prescriptive analytics techniques

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy. See our Privacy Policy and User Agreement for details. If you wish to opt out, please close your SlideShare account. Learn more. Published on Mar 7, Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets. SlideShare Explore Search You. Submit Search. Home Explore. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime. Upcoming SlideShare. Like this presentation? Why not share! Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Published in: Business. Full Name Comment goes here. Are you sure you want to Yes No. Their customer service is outstanding, never left a query unanswered. Erica Bryant Hi there! I just wanted to share a list of sites that helped me a lot during my studies Save so as not to lose. Scott Filostin Hello! I do no use writing service very often, only when I really have problems. But this one, I like best of all.

Descriptive analytics techniques

Descriptive, predictive and prescriptive analytics ppt
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy. See our Privacy Policy and User Agreement for details. If you wish to opt out, please close your SlideShare account. Learn more. Published on Dec 9, Session about types of analytics. Descriptive, diagnostic, predictive and prescriptive analytics. SlideShare Explore Search You. Submit Search. Home Explore. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime. Prescriptive Analytics. Upcoming SlideShare. Like this presentation? Why not share! Beyond analytics: Prescriptive anal

What is predictive analytics

An AI guides you to the best outcome Predictive analytics was already a tour-de-force. Seeing into the future with AI predictions let engineers code, albeit by hand, process rules into production management tools. Advanced AI goes the extra mile with prescriptive analytics: from the multitude of possible outcomes that are simulated, the best course of actions is identified to achieve the objective you defined. Being able to learn, think and adapt on its own, the AI can explore new lines of thought to propose unseen solutions that are out of reach of the human mind. Using machine learning, AI determines by itself the rules that best suit the data to reach the predefined objective. AI-enhanced human operators can then choose to manually execute or discard the actionable insights, or decide to automate the dull, expensive, unsafe or time-sensitive tasks. A fusion of analytics and process control This is just the visible part of the iceberg. Previously, data analytics and process control systems were disjointed. With prescriptive analytics, the best action, determined by AI, can be directly routed to the process control systems and its operators, closing the feedback loop and enabling performance improvements on a scale never seen before. In this way a truly intelligent and holistic system can emerge. Prescriptive analytics, in short, brings a key piece of the industry 4. Wizata helps you to develop a clear vision of the ultimate optimization Ready to link data insights and actions? Our experts can guide you in an exploratory workshop and help you develop a sharp vision of your most optimized future. Events Blog. En De Fr. Advanced AI: from predictive to prescriptive analytics. Published on 28 August How is AI accelerating innovation in the manufacturing industry and why should you get ready? Discover how you can innovate without risks. Want to manage your own AI project?

Descriptive analytics case study

You will receive a high level look at the features in vSphere 6. We will also discuss the latest vSphere 6. This is a hands-on class designed to help you and your organization realize all the benefits of updating your existing vSphere infrastructure to vSphere 6. Join us for a walkthrough of the new features including App Shortcuts and Dedicated Instant Clone Support. You will also learn how Site Recovery Manger authenticates with the Platform Services Controller and vCenter Server. Taking the right approach in your preparation will help you increase your chances to pass the exam on the first try. Join, Paul Sorensen for tips, tricks and resources that will save you time and effort as you study, practice and prepare, including several steps that you should never miss as you get ready to take your next exam. What is the role of each vRealize Automation component. What are the tools available to troubleshoot vRealize Automation. Troubleshooting tips and gotchas How to track a machine request using vRealize Automation logs. Common vRealize Automation issues and how to fix them. We will also outline how to identify those issues from their symptoms and from analyzing log messages. As well as explain how to resolve these issues and in some cases how to work around them if a resolution is not available. The specific areas we will cover are PSOD, Database, Install, Upgrade, Migration, and more. The presenter will highlight the foundational components of the solution and offer multiple deployment scenarios. In addition, he will discuss best practices and offer some insight into how to troubleshoot some integration issues. Join us for an overview of the Command Line Interface (CLI) with steps and commands you can use in your troubleshooting process. We will share troubleshooting tips for critical areas of your NSX environment. Additionally, we will discuss the latest vSphere 6. This hands on class is designed to help you and your organization realize all of the benefits of updating your existing vSphere infrastructure to vSphere 6. We will also highlight troubleshooting techniques, architectural overviews, VMware compatibility and interoperabilityensuring your VSAN clusters are set up optimally from a capacity and performance perspective, what one can expect to see if you encounter issues in your Virtual SAN cluster and how to resolve them as well as upgrades and disk group creation. We will give an overview of the VMware Identity Manager product, then review the deployment options, the various configuration settings within Identity Manager and AirWatch portals, and discuss application management. Please check back regularly for upcoming events. Session 3: vSphere 6. There are parties to plan, meals to cook, planes to catch. If you happen to have the greatand, in some ways, hectichonor of being the holiday host, there are some thoughtful things you can do to lighten your load while ensuring that your fete is warm, merry, and memorable. The first list has all of the items I can buy 3 weeks beforehand, which are my pantry items, staples, and anything else that won't perish. Shop early, shop quality: One of the keys to truly memorable food is high-quality ingredients. So skip the last-minute scramble at the supermarket and shop throughout the week at farmers markets and local specialty shops, recommends Neubauer. This eliminates waste and provides a fragrant, beautiful setting. The Tuesday before, I make my side dishes that can be reheated the day of. I also take out anything out of the freezer that will need to thaw out. The day before is when I suggest baking your pies, many of which can be left at room temperature when they are done. I also prep my salad and vegetables, so that on Thanksgiving Day I can just assemble everything. I set my table and get the house ready the day before while my pies are baking. Prepping everything so far in advance allows you to fully focus on the main dishturkey. While you roast the turkey, you can start reheating your side dishes and make sure everything is in order. Tags: holidays, thanksgiving, planningWell played. You deserve a cookie.

Descriptive, diagnostic, predictive, prescriptive analytics

With an average of 2. Will there be a headed goal in the Manchester derby. Will Crystal Palace win when they meet on saturday. Will Swansea win the first half of the game against West Brom. We'll be back with the answer tomorrow. As you probably know, Anna was a mainstay of CASP from almost the beginning, first a predictor, then an assessor and then as an organizer. Her contribution was massive. She had extraordinary scientific insight, and an amazing ability to turn that insight into effective action both in her own research and in CASP. She ran a series of CASP conferences in Italy, she organized and hosted CASP planning meetings, she acted as chief editor of many CASP special issues of Proteins, she provided her own grant funds for many of these activities. She was always able to make wise and practical judgements on how to deal with problems and how to push CASP forward. These formal acknowledgements fail to begin to convey what an extraordinary, marvelous, person she was, and what a privilege it was to know her and to work with her. She had an immensely strong personality that shone from her at all times - a world beating generosity of spirit that lit up a room. She was always someone to turn to in times of stress, knowing one would receive frank, honest, and wise counsel and help. We do not know what we will do without her. John, Krzysztof, Andriy, and Torsten. Post CASP12 at the Formia train station. On the train to Rome, with Michael Levitt and Torsten Schwede. Our goal is to help advance the methods of identifying protein structure from sequence. The Center has been organized to provide the means of objective testing of these methods via the process of blind prediction. The Critical Assessment of protein Structure Prediction (CASP) experiments aim at establishing the current state of the art in protein structure prediction, identifying what progress has been made, and highlighting where future effort may be most productively focused. There have been eleven previous CASP experiments. The twelfth experiment is planned to start in May 2016. Welcome to the Protein Structure Prediction Center. In November 2011 we have opened a new rolling CASP experiment for all-year-round testing of ab initio modeling methods: CASP ROLL Details of the experiments have been published in a scientific journal Proteins: Structure, Function and Bioinformatics. CASP proceedings include papers describing the structure and conduct of the experiments, the numerical evaluation measures, reports from the assessment teams highlighting state of the art in different prediction categories, methods from some of the most successful prediction teams, and progress in various aspects of the modeling. Summary of numerical evaluation of the methods tested in the latest CASP experiment can be found on this web page. The latter paper also contains explanations of data handling procedures and guidelines for navigating the data presented on this website. Some of the best performing methods are implemented as fully automated servers and therefore can be used by public for protein structure modeling. Conference in memory of Anna Tramontano, University of Rome, July 14, 2017Dear CASP Community: We are writing to share the announcement of the upcoming Conference dedicated to the memory of Anna Tramontano. The Conference will be hosted by the University of Rome on July 14. Anna Tramontano Dear members of the CASP community, We write with the very very sad news that Anna Tramontano died last night. As you probably know, Anna was a mainstay of CASP from almost the beginning, first. The arrival of Donald Trump in the White House and elections in France and Germany will highlight the increasing power of new communication channels as traditional media continues to lose both influence and money. Artificial Intelligence (AI) takes over from mobile as the hottest topic in technology, though the practical and ethical dilemmas around how it will be used become ever more apparent through the year. Sign up for the Snopes. Know of a rumor you want investigated. Lonely and just want to chat. Select from one of these options to get in touch with us: A video documents that The Simpsons anticipated in 2000 how Donald Trump would announce his presidential candidacy in 2015. See Example( s )In August 2015, a video claiming that episodes of the Fox animated series The Simpsons had made some eerily accurate predictions about future events began circulating via social media. Most notable among those predictions was a clip purportedly taken from a 2000 episode that showed business magnate Donald Trump announcing his candidacy for President of the United States:I want people to realize the synchronicity here and all the connections. The Business Analytics Wave: Descriptive, Predictive and Prescriptive Analytics

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