This video illustrates an example of how to build an end-to-end machine learned model using SAP Predictive Analysis. Furthermore the video walks you through the aspect of training your model with respect to BIAS in your data. The effect of incorrect sampling data from a BIAS sorted dataset is demonstrated. The dataset is based on the well known IRIS that is provided with R. Let me know if you would like a copy of the dataset so that you can try this yourself. Finally the machine trained model is then applied to new data in order to perform predictions.
Views: 2323 Kurt Holst
In this session, Andreas, from the global centre of excellence at SAP, shows SAP Predictive Analytics in action, using real world examples from different industries and domains. Learn how various predictive techniques can be applied on data that comes from existing systems and solutions in your IT landscape. You will also be able to try these hands-on examples for yourself and then understand how predictive analytics can help you to realize the business value for your specific needs. Agenda: Introduction: 1:30 Solve Real Problems: 8:08 Why SAP: 16:14 Core Mining Functions: 18:53 Demo: 23:39 Customer Success: 33:18 Forecasting Demo: 36:54
Views: 14018 SAP Analytics
Predictive Analytics & Machine Learning with SAP HANA combines the depth and speed of in-memory analytics with the power of native predictive algorithms. Together with SAP Predictive Analysis for visualization, R's extensive library of statistical and data mining techniques, and the SAP HANA predictive analytic library, you get everything you need to predict the future -- in real-time.
Views: 57902 SAP Technology
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. Watch the entire video to get an idea of the 30 most frequently asked questions in Data Warehouse interviews. - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehouseInterviewQuestions #DataWarehouseConcepts #DataWarehouseTutorial Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 91128 edureka!
Learn SAP BW 7.4 - Zero to Hero Complete course for 50% Discount https://goo.gl/4fKFu4 -~-~~-~~~-~~-~- Please watch: "జపాన్ లో షాపింగ్ ఎలా చేస్తారో తెలుసా!!" https://www.youtube.com/watch?v=lBN0Itj8AUY -~-~~-~~~-~~-~-
Views: 3816 KHHIRAAN J
Clustering Individual Transactional Data for Masses of Users Riccardo Guidotti (University of Pisa) Anna Monreale (University of Pisa) Mirco Nanni (KDD-Lab ISTI-CNR Pisa) Fosca Giannotti (ISTI-CNR) Dino Pedreschi (University of Pisa) Mining a large number of datasets recording human activities for making sense of individual data is the key enabler of a new wave of personalized knowledge-based services. In this paper we focus on the problem of clustering individual transactional data for a large mass of users. More on http://www.kdd.org/kdd2017/
Views: 4920 KDD2017 video
The video tutorial shows you a basic example of how to use SAP Identity Management 8.0, and more specifically, how to synchronize and manage the user data provided by two different data sources. They can be exported from your SAP or non-SAP system. For more information, see the blog post on SAP Community Network (SCN): http://bit.ly/1FVdPRo
Views: 9483 SAP Technology
OLAP Servers and Operations
Views: 40484 minderchen
The term "Data Warehousing" is now commonly used in industry. It refers to a kind of heterogeneous information system -- one in which the focus is on gathering together the data from the different operational databases within an organization, and making it available for decision making purposes. This unit explains the differences between the type of information one can obtain from a data warehouse compared with a traditional database. We looked at the problems and steps involved in building a data warehouse, and examine some of the techniques that have been proposed for constructing data warehouses. (Chapter 15)
Views: 45192 vcilt14
Discuss Fact Tables and Dimension Tables in Data Warehouse and Business Intelligence:
Views: 64693 minderchen
This video provides and example of running GUI scripts to export table contents via SE16, or queries via SE38. This data is exported to CSV and loaded to Excel to be manipulated there. GUI scripting allows external applications like MS Excel to connect to an existing GUI session and execute operations within the GUI. Excel does not hold and authorization and access information as it relies on you logging into SAP first. This example is in CRM but it can be used in any GUI based SAP system. Download the Excel file in this example from here: https://drive.google.com/file/d/0Bw1XOPtMPlsNRi1SdDhHTUMwY3c/view?usp=sharing Playlist of my SAP GUI scripting Youtube playlist: https://www.youtube.com/watch?v=oPPhA14Pm-8&list=PLk9erb9HGsPh28DftWcP8BIXmBtu2wnsL
Views: 96535 Csongor Varga
In this video I will demonstrate how to use algorithms based on the language R. There is just a few steps needed to enhance SAP Predictive Analysis with new R algorithms. With the use of R in SAP PA you can: Extend the data mining capabilities with many new algorithms Enhance with even further charts / visualization capabilities. Pre-requisites -- installed software: SAP Predictive Analysis version 1.0.11 R 2.15 with the necessary libraries with r algorithms. Best regards, Kurt Holst
Views: 5563 Kurt Holst
Improve R&D of drugs, medical devices and services through collaborative models with patients and providers enabled by SAP HANA and mobile solutions. Analyze complex statistics, genomes and proteoms faster, and drive development of new therapies with Ariba, Visual Enterprise, and PLM.
Views: 1552 SAP
SAP BW 7.3 on HANA Training & Certification provided Online from USA industry expert trainers with real time project experience. This video is a Video recording of a Live Webinar presentation done by our Sr. SAP trainer who is also a Manager. COURSE PAGE: https://www.zarantech.com/sap-bw-training/ CONTACT: +1 (515) 309-7846 (or) Email - [email protected] "SAP BW 7.3 on HANA tutorial" "free SAP BW 7.3 on HANA training" "online SAP BW 7.3 on HANA training" "Best SAP BW 7.3 on HANA training" "SAP BW 7.3 on HANA training for Beginners" "Best SAP BW 7.3 on HANA Training" Reviews / Testimonials from past trainees are saying: https://goo.gl/ZVfnE4 Refer your friends to ZaranTech - http://www.zarantech.com/be-a-friend-tell-a-friend.
Views: 2880 ZaranTech
This video lesson fully explains the concepts of Business Intelligence, OLAP, MDX and and how they apply to Excel 2013. At http://ExcelCentral.com you can view over 850 free Excel video lessons just like this one. All in full HD with vari-speed and human-transcribed subtitles providing the perfect Excel learning environment. You can also track your progress through the course and print a certificate upon completion. Separate videos are provided for Excel 2007, Excel 2010 and Excel 2013. The lesson begins with an explanation of OLAP and its purpose. You'll learn about OLAP Cubes and how they are divided into Dimensions, Measure and Hierarchies to create a multidimensional data structure. You'll also learn about how the MDX query language is used to extract values from OLAP cubes. This lesson also explains the concept of Business Intelligence and how it applies to OLAP. This video comes from the Data Model, OLAP, MDX and BI session (Session 6 in our Excel 2013 Expert Skills free video training course). This session includes the following video lessons: ▪ Lesson 6-1: Understand primary and foreign keys (11m 27s) http://excelcentral.com/excel2013/expert/lessons/06010-understand-primary-key-foreign-key-relationships.html ▪ Lesson 6-2: Create a simple data model (6m 31s) http://excelcentral.com/excel2013/expert/lessons/06020-create-a-simple-data-model.html ▪ Lesson 6-3: Understand OLAP, MDX and Business Intelligence (10m 17s) http://excelcentral.com/excel2013/expert/lessons/06030-what-is-business-intelligence-and-an-olap-cube.html ▪ Lesson 6-4: Use the GETPIVOTDATA function (4m 31s) http://excelcentral.com/excel2013/expert/lessons/06040-use-the-getpivotdata-function.html ▪ Lesson 6-5: Use the CUBEVALUE function to query an OLAP cube (5m 40s) http://excelcentral.com/excel2013/expert/lessons/06050-use-the-cubevalue-function-to-query-an-olap-cube.html ▪ Lesson 6-6: Convert CUBEVALUE functions to include MDX expressions (5m 48s) http://excelcentral.com/excel2013/expert/lessons/06060-convert-cubevalue-functions-to-include-mdx-expressions.html ▪ Lesson 6-7: Understand OLAP pivot table limitations (10m 52s) http://excelcentral.com/excel2013/expert/lessons/06070-understand-olap-pivot-table-limitations.html ▪ Lesson 6-8: Create an asymmetric OLAP pivot table using Named Sets (4m 57s) http://excelcentral.com/excel2013/expert/lessons/06080-create-an-asymmetric-olap-pivot-table-using-named-sets.html ▪ Lesson 6-9: Understand many-to-many relationships (11m 5s) http://excelcentral.com/excel2013/expert/lessons/06090-understand-many-to-many-relationships.html ▪ Lesson 6-10: Create an OLAP pivot table using a many-to-many relationship (12m 47s) http://excelcentral.com/excel2013/expert/lessons/06100-create-an-olap-pivot-table-using-a-many-to-many-relationship.html You can watch any of the 850 Excel video lessons, free and without any required registration at http://excelcentral.com/excel2013/expert/tutorials/default.html.
Views: 242646 ExcelCentral.com
Code snippets: https://github.com/saphanaacademy/TextAnalysis_Search_Mining CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/in/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/+saphanaacademy Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 154 SAP HANA Academy
In this video, part of the SAP Automated Predictive Library (APL) for SAP HANA series, we will use SAP HANA studio to import the provided sample data into a SAP HANA schema, ensure the SAP HANA script server is running, and verify that the APL has been correctly installed. This video was created using SAP Automated Predictive Library 2.4 and SAP HANA SPS 10. Video by the SAP HANA Academy
Views: 1338 SAP HANA Academy
CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/u/0/111935864030551244982 Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 3367 SAP HANA Academy
05/22/2012 - As we explore more effective ways to access vast amount of data - BI Appliances, Big Data solutions and In Memory Analytics - this video blog explains the fundamental reasons why Relational database management system (RDBMS) which has been with us for over 3 decades are being used for a different purpose than they were designed for in Analytics and why do we need specialized solutions in some cases.
Views: 147655 SaamaInc
Watch this animated video to see how SAP Process Mining by Celonis allows you to visualize and understand the operative processes running within and across your SAP solutions. The solution enables you to distill large volumes of real-time data about business process execution and gain a clear picture of when tasks are performed and whether processes are running as-designed.
Views: 30937 SAP Technology
A fun way to explain my job as a Data Warehouse and Business Intelligence engineer
Views: 21550 lutingh
SAP's Irfan Khan talks about the next generation of data warehousing on Wednesday September 7, 2016 at the SAP Platform Launch Event.
Views: 2028 SAP Technology
For any bank, payment processor or other financial institution concerned about the end customer experience, transaction data is your goldmine. Each transaction that travels across an ATM, POS, Mobile Banking, Internet Banking, Branch, Core Banking or Messaging Middleware environment can provide powerful answers to questions such as: - What are customers experiencing? - How are my networks, applications and third party service providers responding? - What is the business value of each consumer transaction from a revenue or service perspective? In today’s complex networks, electronic transaction volumes continue to increase, leading to some Big Data challenges. One transaction is often made up of sub transactions – many moving parts between a start point such as the ATM, and the end point, such as a host authorization. These moving parts could include things such as transaction switches, firewalls, service applications or host security models. When INETCO talks about transactions, we talk about all the Big Data collected on an end-to-end transaction path, correlated into one, complete transaction.
Views: 6685 INETCO Insight & INETCO Analytics
Data Mining - Lift the Treasure of your Data by SAP HANA & Consulting A vast, ever-growing amount of structured and unstructured data from different sources is flowing into your business. In order to properly deal with this flood of data, you need smart and reliable access. With the methods of predictive analysis and data mining, you are able to draw the full potential of the data volume for your business. We show you opportunities for forward-looking planning and reliable predictions on the basis of Big Data by using the in-memory technology SAP HANA. Speakers: Mr. Benedikt Wenzel (Fujitsu TDS GmbH)
Views: 653 Fujitsu Forum
Clustering is useful for grouping related items together, such as customers with similar demographics. In this tutorial, we will apply the Auto Clustering component against a dataset.
Views: 1991 SAPAnalyticsTraining
In this SAP Predictive Analytics replay, Priti Mulchandani , product manager at SAP, discusses SAP Predictive Analytics, specifically Native Spark Modeling, a new feature now available with version 2.5 of SAP Predictive Analytics. Native Spark Modeling delegates automated algorithms to a Spark engine, providing the benefits of improved performance, higher scalability, and management of more models. The webinar includes both presentation and demo. Agenda: 00:00 - Introduction 01:18 - What Is Trending in Big Data? 05:09 - Why Is Big Data Important for Predictive Techniques? 11:00 - Native Spark Modeling 15:50 - Product Demonstration 35:32 - Performance Highlights 42:11 - Q&A
Views: 997 SAP Analytics
This demo illustrates the basic principles involved in building a predictive model and also, How to apply the model to solve a business requirement. The demo uses SAP BO Predictive Analytic tool.
Views: 257 Rajeev Sinha
In this video tutorial, Tahir Hussain Babar (Bob) gives a products overview of SAP Big Data Warehousing, and introduces the videos series. CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/in/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/+saphanaacademy Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 1104 SAP HANA Academy
Plz visit this link for introduction to Data Ware house:https://www.youtube.com/watch?v=Hmx8dX29LrQ Data Marts are the subset of Data warehouse, which focuses on Particular subject or department, such as sales, finance or marketing. 3 types of Data Mart Independent Data Mart Dependent Data Mart Hybrid Data Mart Independent Data mart depends on operational data source or external data source for data. Dependent Data mart depends on Enterprise Data ware house for data. Hybrid Data Mart depends on both data warehouse and operational, external data ware house for data. Goals of Data Mart Ease to Access frequently needed data. improves End user respose time. Significant cost saving by eliminating redundant data. Focuses on Data Eligibility. Data marts are created much faster. Difference between data mart & Data ware house is explained. Top down & Bottom Up approach of Data ware house is also explained.
Views: 12921 IT Miner - Tutorials,GK & Facts
In this video, part of the SAP Automated Predictive Library (APL) for SAP HANA series, we will use the Predictive Analytics desktop to predict auto insurance claim fraud. Processing is delegated to the APL on the HANA server where the data resides. This example shows how an insurance company assesses past insurance frauds in order to create a category of client characteristics that may be susceptible to make fraudulent claims. The first step of the analysis is to prepare the main input tables, one containing data that has already been analyzed, that contains some known fraud cases. This table is used to train the model. The results are used to indicate which variable(s) to use as the target and describe the claims data. After considering past data and past fraudulent claims, the customer uses the data to train the APL model on that date produce an updated model that will be applied to the new data in order to detect potential fraud risks. After training the model, the APL function returns summary information regarding the model as well as indicators like the Predicitve Power (KI) of the model, or the Prediction Confidence of the results (KR). At the end of the data mining process, the “Apply Model” function produces scores in the form of a table that can be queried. This video was created using SAP Predictive Analytics 2.4, SAP Automated Predictive Library 2.4 and SAP HANA SPS 10. Video by the SAP HANA Academy
Views: 3059 SAP HANA Academy
The course DECISION 618 Data Mining (a.k.a Big Data Analytics) derives business decisions based on (big) data analytics. The course aims to address one of the most transformational developments in modern business era -- exponential growth and availability of data. We will explore core ideas behind data mining, practical opportunities associated with big data, and the interplay between data science and business decisions. We will discuss real life examples from variety of concepts such as customer retention, health risk prediction, social media analysis, systemic risk, real-time online advertisement, text mining, and data mining contests. We will investigate how data can impact business decisions by focusing on (i) general principles that are long lasting despite of the rapid changing technology (ii) specific algorithms/technologies that are relevant today and are being used in many industries; and (iii) "hands-on" analyses of actual datasets to develop practical methodologies. The video has taken from Big Data Analytics: The Revolution Has Just Begun video.
Views: 168 Alexei Robsky
✪✪✪✪✪ WORK FROM HOME! Looking for WORKERS for simple Internet data entry JOBS. $15-20 per hour. SIGN UP here - http://jobs.theaudiopedia.com ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is DATA MART? What does DATA MART mean? DATA MART meaning - DATA MART definition - DATA MART explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department. In some deployments, each department or business unit is considered the owner of its data mart including all the hardware, software and data. This enables each department to isolate the use, manipulation and development of their data. In other deployments where conformed dimensions are used, this business unit ownership will not hold true for shared dimensions like customer, product, etc. Organizations build data warehouses and data marts because the information in the database is not organized in a way that makes it readily accessible, requiring queries that are too complicated or resource-consuming. While transactional databases are designed to be updated, data warehouses or marts are read only. Data warehouses are designed to access large groups of related records. Data marts improve end-user response time by allowing users to have access to the specific type of data they need to view most often by providing the data in a way that supports the collective view of a group of users. A data mart is basically a condensed and more focused version of a data warehouse that reflects the regulations and process specifications of each business unit within an organization. Each data mart is dedicated to a specific business function or region. This subset of data may span across many or all of an enterprise’s functional subject areas. It is common for multiple data marts to be used in order to serve the needs of each individual business unit (different data marts can be used to obtain specific information for various enterprise departments, such as accounting, marketing, sales, etc.). The related term spreadmart is a derogatory label describing the situation that occurs when one or more business analysts develop a system of linked spreadsheets to perform a business analysis, then grow it to a size and degree of complexity that makes it nearly impossible to maintain.
Views: 7367 The Audiopedia
Watch how this vegan donut shop runs SAP HANA and utilizes text analytics in their everyday work. Uncover consumer insights with SAP HANA's text analysis algorithms. SAP HANA's sentiment analysis algorithms can analyze thousands of social media posts, apply machine learning capabilities to break the data into categories, and use the data to determine the best routes to reach the most customers. Discover more at www.sap.com/HANA-text-analysis
Views: 1237 SAP Technology
In SAP Predictive Analysis, you can apply filters to restrict data in the Prepare workspace or in the Predict workspace. In this tutorial, we will use both methods to restrict the data for analysis. Visit us at http://www.sap.com/LearnBI to view our full catalog of interactive SAP BusinessObjects BI Suite tutorials.
Views: 308 SAPAnalyticsTraining
In this video tutorial, learn how to build a classification training model using the streaming machine learning capabilities in SAP HANA streaming analytics. CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/in/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/+saphanaacademy Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 701 SAP HANA Academy
In SAP BusinessObjects Design Studio, we can copy an existing data source, and then edit the copy to add to or remove the changes we have already made to its initial view. In this video, we will create a copy of a data source and edit the initial view for the copy.
Views: 5174 SAPAnalyticsTraining