This document provides information about an upcoming webinar on predictive analytics hosted by SAP and discusses predictive analytics and its applications. It outlines different types of analytics including predictive modeling and optimization. It also describes different levels of analytical capability that companies can achieve and lists some examples of predictive analytics applications like predicting customer churn or supplier failure. The document is intended to educate about predictive analytics and its use.
Sonamine Mobile Gaming USA 2012 presentationSonamine
This document discusses analytics and its use for game companies. It covers why analytics are needed, different types of analytics like reporting, predictive analytics and optimization. It also discusses implementation options like building analytics in-house versus using analytics software as a service. The document includes case studies on how analytics were used to improve first-time user conversions and retention. It discusses evaluating the return on investment of analytics and prioritizing analytic efforts. Finally, it introduces some of Sonamine's analytic products and services.
Conference presentation from the Texas Association of Graduate Admissions Professionals (TxGAP) 2012 Professional Development Conference.
Author:
Jeancarlo Bonilla
Director of Graduate Enrollment Management
Polytechnic Institute of New York University
Description:
Learn how to use predictive modeling techniques and apply them to the area of graduate enrollment management.
For more information, visit www.txgap.com.
The good the bad and the ugly: how to design an effective surveySiREN_WA
The document describes a workshop on designing effective surveys. The workshop will cover topics such as how to design surveys, writing good questions, tips and tricks for maximizing response rates and getting the most out of survey data. It includes an agenda with times for each session including an introduction, designing effective surveys, writing good questions, tips and tricks, maximizing response rates, getting the most from data, and a Q&A period.
This document provides instructions for setting up a basic blog through the edublogs.org platform. It outlines the 6 step process for creating an account including choosing a username, entering a blog title, selecting privacy settings, activating the blog, and logging in to access the dashboard where blog content can be designed, posted, and managed. Additional video tutorials on blog basics are available through a provided link.
The document discusses key events and developments during the Cold War era following World War II, including the division of Germany and Europe, establishment of military alliances like NATO and the Warsaw Pact, conflicts in Korea and Cuba, and the global impacts of the Cold War. The Cold War involved intense strategic competition and proxy wars between the US and USSR as the dominant superpowers seeking to spread their influence and prevent the other's rise.
Margaret M. Egan is a consultant based in Brooklyn, NY specializing in nonprofit management, technology integration, and online communications strategy. With over 30 years of experience working in performing arts, health care, and philanthropy, she helps associations, nonprofits, and small businesses improve operations, implement new systems, manage projects, and develop online and social media strategies. Her expertise includes systems development, project management, operations retooling, and client profiling.
Sonamine Mobile Gaming USA 2012 presentationSonamine
This document discusses analytics and its use for game companies. It covers why analytics are needed, different types of analytics like reporting, predictive analytics and optimization. It also discusses implementation options like building analytics in-house versus using analytics software as a service. The document includes case studies on how analytics were used to improve first-time user conversions and retention. It discusses evaluating the return on investment of analytics and prioritizing analytic efforts. Finally, it introduces some of Sonamine's analytic products and services.
Conference presentation from the Texas Association of Graduate Admissions Professionals (TxGAP) 2012 Professional Development Conference.
Author:
Jeancarlo Bonilla
Director of Graduate Enrollment Management
Polytechnic Institute of New York University
Description:
Learn how to use predictive modeling techniques and apply them to the area of graduate enrollment management.
For more information, visit www.txgap.com.
The good the bad and the ugly: how to design an effective surveySiREN_WA
The document describes a workshop on designing effective surveys. The workshop will cover topics such as how to design surveys, writing good questions, tips and tricks for maximizing response rates and getting the most out of survey data. It includes an agenda with times for each session including an introduction, designing effective surveys, writing good questions, tips and tricks, maximizing response rates, getting the most from data, and a Q&A period.
This document provides instructions for setting up a basic blog through the edublogs.org platform. It outlines the 6 step process for creating an account including choosing a username, entering a blog title, selecting privacy settings, activating the blog, and logging in to access the dashboard where blog content can be designed, posted, and managed. Additional video tutorials on blog basics are available through a provided link.
The document discusses key events and developments during the Cold War era following World War II, including the division of Germany and Europe, establishment of military alliances like NATO and the Warsaw Pact, conflicts in Korea and Cuba, and the global impacts of the Cold War. The Cold War involved intense strategic competition and proxy wars between the US and USSR as the dominant superpowers seeking to spread their influence and prevent the other's rise.
Margaret M. Egan is a consultant based in Brooklyn, NY specializing in nonprofit management, technology integration, and online communications strategy. With over 30 years of experience working in performing arts, health care, and philanthropy, she helps associations, nonprofits, and small businesses improve operations, implement new systems, manage projects, and develop online and social media strategies. Her expertise includes systems development, project management, operations retooling, and client profiling.
El documento describe los resultados de una prueba de usabilidad realizada en 5 países de América Latina para evaluar la facilidad de uso de sus respectivos geoportales de infraestructura de datos espaciales (IDE). De los 84 usuarios con conocimientos en información geográfica que participaron en la prueba, solo 6 lograron completar con éxito las 10 tareas planteadas, lo que sugiere problemas de usabilidad en las interfaces de los geoportales. La autora argumenta que es importante mejorar la usabilidad de estos sistemas para que pued
This document discusses cultural considerations for providing medical care and communication to Hispanic patients. It emphasizes that effective communication requires cultural awareness and understanding the patient's perspective. Providers must gain an in-culture understanding of Hispanic patients to develop sensitive messages that convey they understand the patient's background and experiences. The document also outlines some key cultural values for Hispanics, like familismo which prioritizes the family unit, and notes differences from mainstream American culture around child-rearing and gender roles.
The document discusses how Josef Stalin rose to power in the Soviet Union after Vladimir Lenin's death in 1924. It provides three reasons for Stalin's rise: 1) Stalin's cunning personality, as he outwitted his rivals through alliances and prevented Lenin's testament from being read; 2) Stalin's position as Secretary-General of the Communist Party, which he used to appoint supporters and call votes against his rivals; 3) The weaknesses of Stalin's rivals, particularly Trotsky's arrogance and lack of support building.
Here are the Power Point slides for the activity that we did on reliability. You might want to go through the slides again and try out the activity at your own time. Enjoy!
The document discusses several key events that threatened peace in Europe in the 1930s and ultimately led to the start of World War II:
1) Hitler pursued an aggressive foreign policy after becoming Chancellor of Germany in 1933 in violation of the Treaty of Versailles, including rearmament of Germany and remilitarization of the Rhineland, which other powers did not stop.
2) The League of Nations proved ineffective at preventing aggression by Germany, Italy, and Japan, failing to take action against their violations.
3) Seeing the League as useless, Stalin signed the Nazi-Soviet Pact with Hitler in 1939 to buy time, allowing Germany to invade Poland and starting World War II in Europe.
Eu Digital Agenda Scoreboard for RomaniaEric Prenen
The document summarizes Romania's progress toward digital agenda targets set by the European Union. It finds that while broadband coverage in Romania reaches 97% of households, only 56% of households have a broadband connection. Next generation broadband access covers 66% of households in Romania but only 25% in rural areas. While 25% of broadband subscriptions in Romania have speeds over 100 Mbps, digital skills are lacking with 83% of the workforce having insufficient skills and 41% having no digital skills.
#askSAP Analytics Innovations Community Call: SAP Predictive AnalyticsSAP Analytics
sap.com/predictive - SAP Predictive Analytics: Innovate the Future, Faster: New products hit the market every day and companies are finding it even more difficult to stay ahead of the competition. Attempting to “sense” your next steps no longer works. You need insight into your company’s data, history and market trends to determine next steps. But with a shortfall of experienced data scientists, how can this be accomplished?
SAP has Predictive solutions for all levels of users and you don’t need a data scientist background to gain insight into your opportunities and risks in real-time. Imagine the possibilities to make future product recommendations, predict maintenance within your fleet operations, detect fraud, or determine your real-time supply and demand forecast.
Learn how SAP Predictive Analytics can help your organization identify untapped opportunities and expose hidden risks – all in real-time on the SAP HANA platform.
A presentation about definition, extent and reasons for digital divide, impact of the web and attempts to bridge the digital divide. I gave this speech in my ESL class at Portland State University in December 2008
This document defines key media planning terminology used in target audience definition, media metrics, and cost calculations. It explains concepts like target audience, reach, TV ratings (TVR), gross rating points (GRP), average frequency (AOTS), effective reach, and cost per thousand (CPT). Formulas are provided for calculating metrics like reach, GRPs, and cost per GRP. Examples illustrate how to apply the concepts and relationships between various metrics.
Presentation given by Ravi Makhija, Chief Operating Officer, SAS Institute (India) Pvt Ltd on August 3rd, 2011 at eWorld Forum (www.eworldforum.net) in the session Urban Governance and Infrastructure
The document discusses predictive analytics techniques including data preparation, modeling, and model monitoring. It describes preparing data through transformation, deriving behavioral variables, and quality checks. Modeling techniques covered include decision trees, regression, neural networks, and ensemble modeling in SAS Enterprise Miner or other software. Model monitoring compares actual and predicted values, analyzes variable distributions in scored data, and monitors model performance metrics.
'The future of analytics is here', was presented by Mr. Deepak Ramanathan, Head - Information Management, SAS Asia Pacific (North). This document emphasizes on how SAS Visual Analytics empowers business to analyze data in seconds or minutes, which earlier used to take hours or days. This presentation was displayed at CIO - The Year Ahead conference, Mumbai, 29 - 30 Nov'12.
Semantic Web powering Enterprise and Web ApplicationsAmit Sheth
The document summarizes a presentation given by Amit Sheth at the 48th ACM Southeast Conference in Oxford, Mississippi from April 15-17, 2010. The presentation discussed several real-world applications of semantic web technologies in domains such as financial services, defense and intelligence, and clinical decision making. Specific applications highlighted included risk analysis in banking, assessing intelligence needs, and powering an active semantic electronic medical record system.
SAS Big Data Forum - Transforming Big Data into Corporate GoldLouis Fernandes
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics.
In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making.
In it, we explore:
- Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage
- How to develop infrastructures required to support multi-dimentsional insight
- What SAS is doing to make this a reality
Key topics include:
- Data governance
- Big data infrastructure
- High performance analytics
- Data visualisation
About SAS:
- World’s largest, privately held software company,
- 35 years old
- Focus on advanced and predictive analytics right from the word go
- Big data has been in our DNA before it became mainstream
BI continues to grow in demand in 2012 and the foreseeable future. The demand for BI/Analytics has driven the need for company investment in "Big Data" and trying to outdue competitors by exploiting advantages through the use of data patterns.
Predictive Analytics: Advanced techniques in data miningSAS Asia Pacific
The document discusses predictive analytics techniques including defining objectives, data preparation, modeling, deployment, and model monitoring. It describes preparing data through transformation, deriving behavioral variables, and quality checks. Modeling techniques covered include decision trees, regression, neural networks, and ensemble modeling. Model monitoring compares actual and predicted values, and analyzes variable distributions and predicted scores.
New Analytical Architectures for Big DataCasey Kiernan
This document discusses how new analytical architectures are needed to address big data and the changing nature of data and analytics. It summarizes that classic data warehousing approaches are no longer sufficient and that data has changed in terms of volume, velocity, and variety. It provides examples of how personal analytics differ from traditional business analytics in focusing on real-time, predictive, and prescriptive insights rather than retrospective reporting. It outlines some of the key components of new analytical architectures, including specialized storage, analytics engines, and data models like property graphs to represent social relationships.
El documento describe los resultados de una prueba de usabilidad realizada en 5 países de América Latina para evaluar la facilidad de uso de sus respectivos geoportales de infraestructura de datos espaciales (IDE). De los 84 usuarios con conocimientos en información geográfica que participaron en la prueba, solo 6 lograron completar con éxito las 10 tareas planteadas, lo que sugiere problemas de usabilidad en las interfaces de los geoportales. La autora argumenta que es importante mejorar la usabilidad de estos sistemas para que pued
This document discusses cultural considerations for providing medical care and communication to Hispanic patients. It emphasizes that effective communication requires cultural awareness and understanding the patient's perspective. Providers must gain an in-culture understanding of Hispanic patients to develop sensitive messages that convey they understand the patient's background and experiences. The document also outlines some key cultural values for Hispanics, like familismo which prioritizes the family unit, and notes differences from mainstream American culture around child-rearing and gender roles.
The document discusses how Josef Stalin rose to power in the Soviet Union after Vladimir Lenin's death in 1924. It provides three reasons for Stalin's rise: 1) Stalin's cunning personality, as he outwitted his rivals through alliances and prevented Lenin's testament from being read; 2) Stalin's position as Secretary-General of the Communist Party, which he used to appoint supporters and call votes against his rivals; 3) The weaknesses of Stalin's rivals, particularly Trotsky's arrogance and lack of support building.
Here are the Power Point slides for the activity that we did on reliability. You might want to go through the slides again and try out the activity at your own time. Enjoy!
The document discusses several key events that threatened peace in Europe in the 1930s and ultimately led to the start of World War II:
1) Hitler pursued an aggressive foreign policy after becoming Chancellor of Germany in 1933 in violation of the Treaty of Versailles, including rearmament of Germany and remilitarization of the Rhineland, which other powers did not stop.
2) The League of Nations proved ineffective at preventing aggression by Germany, Italy, and Japan, failing to take action against their violations.
3) Seeing the League as useless, Stalin signed the Nazi-Soviet Pact with Hitler in 1939 to buy time, allowing Germany to invade Poland and starting World War II in Europe.
Eu Digital Agenda Scoreboard for RomaniaEric Prenen
The document summarizes Romania's progress toward digital agenda targets set by the European Union. It finds that while broadband coverage in Romania reaches 97% of households, only 56% of households have a broadband connection. Next generation broadband access covers 66% of households in Romania but only 25% in rural areas. While 25% of broadband subscriptions in Romania have speeds over 100 Mbps, digital skills are lacking with 83% of the workforce having insufficient skills and 41% having no digital skills.
#askSAP Analytics Innovations Community Call: SAP Predictive AnalyticsSAP Analytics
sap.com/predictive - SAP Predictive Analytics: Innovate the Future, Faster: New products hit the market every day and companies are finding it even more difficult to stay ahead of the competition. Attempting to “sense” your next steps no longer works. You need insight into your company’s data, history and market trends to determine next steps. But with a shortfall of experienced data scientists, how can this be accomplished?
SAP has Predictive solutions for all levels of users and you don’t need a data scientist background to gain insight into your opportunities and risks in real-time. Imagine the possibilities to make future product recommendations, predict maintenance within your fleet operations, detect fraud, or determine your real-time supply and demand forecast.
Learn how SAP Predictive Analytics can help your organization identify untapped opportunities and expose hidden risks – all in real-time on the SAP HANA platform.
A presentation about definition, extent and reasons for digital divide, impact of the web and attempts to bridge the digital divide. I gave this speech in my ESL class at Portland State University in December 2008
This document defines key media planning terminology used in target audience definition, media metrics, and cost calculations. It explains concepts like target audience, reach, TV ratings (TVR), gross rating points (GRP), average frequency (AOTS), effective reach, and cost per thousand (CPT). Formulas are provided for calculating metrics like reach, GRPs, and cost per GRP. Examples illustrate how to apply the concepts and relationships between various metrics.
Presentation given by Ravi Makhija, Chief Operating Officer, SAS Institute (India) Pvt Ltd on August 3rd, 2011 at eWorld Forum (www.eworldforum.net) in the session Urban Governance and Infrastructure
The document discusses predictive analytics techniques including data preparation, modeling, and model monitoring. It describes preparing data through transformation, deriving behavioral variables, and quality checks. Modeling techniques covered include decision trees, regression, neural networks, and ensemble modeling in SAS Enterprise Miner or other software. Model monitoring compares actual and predicted values, analyzes variable distributions in scored data, and monitors model performance metrics.
'The future of analytics is here', was presented by Mr. Deepak Ramanathan, Head - Information Management, SAS Asia Pacific (North). This document emphasizes on how SAS Visual Analytics empowers business to analyze data in seconds or minutes, which earlier used to take hours or days. This presentation was displayed at CIO - The Year Ahead conference, Mumbai, 29 - 30 Nov'12.
Semantic Web powering Enterprise and Web ApplicationsAmit Sheth
The document summarizes a presentation given by Amit Sheth at the 48th ACM Southeast Conference in Oxford, Mississippi from April 15-17, 2010. The presentation discussed several real-world applications of semantic web technologies in domains such as financial services, defense and intelligence, and clinical decision making. Specific applications highlighted included risk analysis in banking, assessing intelligence needs, and powering an active semantic electronic medical record system.
SAS Big Data Forum - Transforming Big Data into Corporate GoldLouis Fernandes
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics.
In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making.
In it, we explore:
- Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage
- How to develop infrastructures required to support multi-dimentsional insight
- What SAS is doing to make this a reality
Key topics include:
- Data governance
- Big data infrastructure
- High performance analytics
- Data visualisation
About SAS:
- World’s largest, privately held software company,
- 35 years old
- Focus on advanced and predictive analytics right from the word go
- Big data has been in our DNA before it became mainstream
BI continues to grow in demand in 2012 and the foreseeable future. The demand for BI/Analytics has driven the need for company investment in "Big Data" and trying to outdue competitors by exploiting advantages through the use of data patterns.
Predictive Analytics: Advanced techniques in data miningSAS Asia Pacific
The document discusses predictive analytics techniques including defining objectives, data preparation, modeling, deployment, and model monitoring. It describes preparing data through transformation, deriving behavioral variables, and quality checks. Modeling techniques covered include decision trees, regression, neural networks, and ensemble modeling. Model monitoring compares actual and predicted values, and analyzes variable distributions and predicted scores.
New Analytical Architectures for Big DataCasey Kiernan
This document discusses how new analytical architectures are needed to address big data and the changing nature of data and analytics. It summarizes that classic data warehousing approaches are no longer sufficient and that data has changed in terms of volume, velocity, and variety. It provides examples of how personal analytics differ from traditional business analytics in focusing on real-time, predictive, and prescriptive insights rather than retrospective reporting. It outlines some of the key components of new analytical architectures, including specialized storage, analytics engines, and data models like property graphs to represent social relationships.
1) The document discusses software analytics and how it can be used to understand what happened in the past, what is currently happening, and what may happen in the future for software development projects.
2) It notes that different stakeholders like researchers, developers, testers, and managers have different needs for analytics and a single tool may not be enough to meet all needs.
3) The presentation outlines challenges with software analytics including data collection, data quality, privacy, understanding different user needs, and user experience. It stresses the importance of making data actionable and accessible for stakeholders.
Banks can leverage big data by building analytics platforms to gain insights from large, diverse datasets in real-time. The key is having solutions that can handle high volumes, varieties and velocities of data. SAS provides products to help banks with every stage of the analytics lifecycle from data preparation to predictive modeling to deployment. This allows banks to better assess risks like credit default and improve processes like customer scoring.
This document discusses using analytics to improve decision making. It argues that decision processes and outcomes are often poor, with little accountability or connection between data inputs and decisions. However, new techniques like analytics, algorithms, behavioral economics, and automation offer opportunities to make better decisions. The document outlines key factors for organizations to build analytical capability, including having the right data, enterprise approach, leadership commitment, targeting high-impact areas first, and developing analytical talent. Organizations that master analytics may gain competitive advantages over those that do not systematically apply analytical techniques.
This document discusses the benefits of Oracle Essbase for business analysis. It highlights that Essbase provides (1) a rich user experience through integration with Microsoft Office and advanced reporting and visualization tools, (2) a highly advanced calculation engine with over 350 functions for financial, time, and custom calculations, and (3) a flexible and optimized environment for custom analytic applications and modeling across data sources at enterprise scale. Essbase allows analysts to have "speed of thought" conversations with data and gain insights to make better decisions.
This document discusses the benefits of Oracle Essbase for business analysis. It highlights that Essbase provides (1) a rich user experience through integration with Microsoft Office and advanced reporting and visualization tools, (2) a highly advanced calculation engine with over 350 functions for financial, time, and custom calculations, and (3) a flexible and optimized environment for custom analytic applications and modeling across data sources at enterprise scale. Essbase allows analysts to have "speed of thought" conversations with data and gain insights to make better decisions.
The document discusses how predictive and prescriptive analytics can help organizations by leveraging analytics to improve outcomes. It provides examples of how IBM has helped clients like the Veterans Administration improve processes by developing solutions that use advanced analytics to simplify data, increase productivity, and help governments and organizations be more efficient and responsive. The presentation also outlines the types of questions advanced analytics can help answer, from descriptive to predictive to prescriptive.
The Next Generation SharePoint: Powered by Text AnalyticsAlyona Medelyan
This document discusses how text analytics can power the next generation of SharePoint. It begins by outlining common information tasks and how much time they take. It then discusses what text analytics is, how it works, and how it can save time on tasks like search, metadata extraction, and sentiment analysis. It provides examples of text analytics APIs and open source tools. It concludes by demonstrating how text analytics can be integrated into SharePoint using APIs.
The Next-Generation SharePoint: Powered by Text Analytics Peter Wren-Hilton
This document discusses how text analytics can power the next generation of SharePoint. It begins by outlining common information tasks and how much time they take. It then discusses what text analytics is, how it works, and how it can save time on tasks like search, metadata extraction, and sentiment analysis. It provides examples of text analytics APIs and open source tools. It concludes by demonstrating how text analytics can be integrated into SharePoint using APIs.
This document summarizes a presentation on using analytics for better decision making at nonprofit organizations. The presentation discusses how nonprofits currently use some basic analytics like budgets and dashboards but have untapped potential to use data more extensively. It identifies common challenges to data utilization as collecting quality data, lacking expertise, technology and prioritizing time and money for analytics. The presentation provides examples of how benchmarking reveals data gaps and inconsistencies between systems. It emphasizes the value of tracking program and outcome data and client information.
A Product Improvement Decision Making ProcessJan König
This document outlines a process for product improvement decision making at SaaS startups. The process begins with analyzing macro metrics to identify areas for improvement. Next, customer development is conducted through user interviews and lifecycle analysis to diagnose specific issues. The team then brainstorms hypotheses for changes and tests ideas through usability tests and split testing. Finally, metrics are reanalyzed to validate whether the changes improved user behavior or indicate where further analysis is needed. The process is meant to encourage startups to regularly act on metrics insights.