DBMS / Business Intelligence, Business Intelligence / Big Data Orsys, with 30 years of experience, is providing high quality, independant State of the Art seminars and hands-on courses corresponding to the needs of IT professionals. Orsys proposes a set of courses on the most important topics in IT technologies and management. Etat de l'art : conception, solutions SAP BusinessObjects 4 Web Intelligence, Level 1 (réf. BOR) Best... p.2 Business Objects XI, Web Intelligence, L1 (réf. BWI) Best... p.4 Business Objects XI, Desktop Intelligence L1 (réf. BDI) Best... p.6 Business Objects v6 for user (réf. BOT)... p.8 Big Data, practical methods and solutions for data analysis (réf. BID) Best... p.9 ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 1
Hands-on course, 2 day(s) Ref : BOR Participants End users, people responsible for writing reports, people involved in managing the company with SAP BusinessObjects Pre-requisites No particular knowledge. SAP BusinessObjects 4 Web Intelligence, Level 1 Best > DBMS / Business Intelligence > Business Intelligence / Big Data This course is for users of SAP BusinessObjects Web Intelligence 4. It will enable you to understand all concepts and master all skills in this tool, particularly the query and analysis functions. OBJECTIVES Understand the principle of data providers and universes Create a simple query from the universe's data Create data tables and set their layouts Filter and group data to be reported Create and format charts of data Use calculations, alerts, and formulas to analyze and highlight data Organize the release of reports 1) Overview of SAP BusinessObjects Web Intelligence 2) Queries and filters 3) Using reports and tables 4) Charts 5) Sections, breaks, and sorting 6) Filtering the values displayed in a report. 7) Calculations, alerts, variables 8) Add-ons 1) Overview of SAP BusinessObjects Web Intelligence - The environment. Principles and major functions. - Logging into and out of InfoView. - Selecting the Web Intelligence document publisher. Getting started in the SAP BusinessObjects environment. 2) Queries and filters - Data providers and universes. - Creating a simple request. - Operation and use of predefined filters. - Invite filters, custom filters. Creating queries and filters. 3) Using reports and tables - Web Intelligence table templates. - Adding tables to reports. - Setting the layout of a table. - Crosstabs. Creating reports. Adding tables. 4) Charts - Charts and chart templates. - Creation, usage, and layout of charts. - Formatting shortcuts. Creating and configuring charts. Working on layouts. 5) Sections, breaks, and sorting - Grouping data by section. - Grouping data into tables. - Organizing sections and data. Working with data and various presentation elements. 6) Filtering the values displayed in a report. - Operation of report filters. - Applying multiple filters in a report. - Editing and deleting report filters. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 2
Working with filters in reports. 7) Calculations, alerts, variables - Inserting calculations into simple tables and crosstabs - Creating advanced alerts - Creating formulas. Variables. Creating calculations, formulas. Using variables. 8) Add-ons - SAP BusinessObjects Web Intelligence Rich Client: Inserting data from outside providers. - Creating multiquery documents and merging data. - Planning the production and release of reports. - Saving and managing WebI documents in InfoView, saving in various formats. Merging data. Working with various document formats. Planning production. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 3
Hands-on course, 2 day(s) Ref : BWI Participants End users in charge of writing the reports ; people involved in Decision making. Pre-requisites Knowledge of desktop applications such as Excel. The knowledge of decisional environments is an asset. Next sessions Brussels oct 13 2016, dec. 8 2016 Geneve oct 13 2016, dec. 8 2016 Luxembourg oct 13 2016, dec. 8 2016 Business Objects XI, Web Intelligence, L1 Best > DBMS / Business Intelligence > Business Intelligence / Big Data OBJECTIVES This training is intented for Web Intelligence BO XI users. It will enable them to understand the solution's concepts and master querying, analysis and reporting functions. 1) Presentation of Web Intelligence 2) Queries 3) Filters 4) Using reports, inserting and formatting tables 5) Charts 6) Sections, breaks and orders 7) Filtering values displayed in a report 8) Calculations 9) Alerters 10) Variables 11) Managing documents Learners will create reports and have the opportunity to practice all topics concerning the creation of queries and formatting. Practice is a very important aspect of this training. Environment : Windows NT, Business Objects, Excel, Access. 1) Presentation of Web Intelligence - Creation and modification of Web Intelligence documents. - Connection and deconnection to Infoview. - Selection of Web Intelligence documents editing. - Presentation of the report editing interface. 2) Queries - Getting familiar with data suppliers and universe. - Creating a simple query. - Defining properties of a query. 3) Filters - Working with filters, using predefined filters. - Combining several filters in a query. - Prompting filters, custom filters. 4) Using reports, inserting and formatting tables - Types of Web Intelligence tables. - Adding tables in reports. - Formatting a table. - Pivot tables. 5) Charts - Charts and chart types. - Creating, using and formatting charts. 6) Sections, breaks and orders - Grouping data in a section. - Using breaks to group data in tables. - Using orders to organise sections and data in tables. 7) Filtering values displayed in a report - Working with reports' filters. - Applying several filters in a report. - Modifying and deleting filters in a report. 8) Calculations - Using standard calculations. - Inserting calculations in simple tables and pivot tables. - Creating custom filters. 9) Alerters - Working, creating and formatting of alerters. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 4
- Using formulas to create advanced alerters. - Creating formulas. 10) Variables - Variables. - Creating, modifying and deleting variables. - Using variables to simplify formulas. 11) Managing documents - Saving and deleting Web Intelligence documents in Infoview. - Saving documents in Excel or PDF format. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 5
Hands-on course, 2 day(s) Ref : BDI Participants End-user in charge of the enterprise reporting and all people involved in the business decision support processes of the company. Pre-requisites Knowledge of desktop tools such as Excel. Knowledge of decison support environments would be an added-value. Next sessions Brussels oct 13 2016, dec. 22 2016 Geneve oct 13 2016, dec. 22 2016 Luxembourg oct 13 2016, dec. 22 2016 Business Objects XI, Desktop Intelligence L1 Best > DBMS / Business Intelligence > Business Intelligence / Big Data OBJECTIVES This course is intended for Webintelligence BO XI users. It will give them the opportunity to understand the concepts and enable them to master the query, reporting and analysis functionalities. 1) Introduction to Desktop Intelligence 2) Connectivity to the data with Desktop intelligence 3) Using the universes to create queries 4) Data analysis 5) Data Filtering and sorting 6) Modifying Queries using the universe 7) Calculations 8) Formulas, Local Variables and functions Learners will practice all topics covered, create queries and reports on actual examples. 1) Introduction to Desktop Intelligence - Desktop intelligence description. - Data analysis and presentation. - Information sharing and security management. 2) Connectivity to the data with Desktop intelligence - Connection to data sources. - Creating a query in an existing document. - Modifying a data provider. - Document repository : importing and exporting. 3) Using the universes to create queries - Universe definition. - Creating and executing a simple query on a universe. - Query panel. - Applying conditions. 4) Data analysis - Use of the rotation mode. - Master/detail reports. - Pivot tables and 3D diagrams. - Visualising and deleting data. - Data blocks management (delete, rename, redefinition). 5) Data Filtering and sorting - Filtering the displayed data. - Inserting, managing filters and creating complex filters. - Controlling the order, sorting and multiple sorting of data. - Using the ranking to view maximal and minimal values. - Conflicts between ranking, filters and sorting. - Hiding data columns and rows. - Creating, activating and disabling alerters. 6) Modifying Queries using the universe - User objects (creation, modification, delete). - Applying complex conditions on queries. - Sub queries and calculations. - Using an existing query in a condition. - Managing the condition groups. - Use of AND/OR operators. - Creating combined queries. 7) Calculations - Adding simple calculations in reports. - Count functions. - Calculate with Dimension and Detail objects. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 6
8) Formulas, Local Variables and functions - Creating formulas and using the formulas editor. - Creating a local variable. - Using the calculation functions. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 7
Hands-on course, 2 day(s) Ref : BOT Participants End users in charge of writing the reports ; people involved in Decision making. Pre-requisites Knowledge of desktop applications such as Excel. The knowledge of decisional environments is an asset. Business Objects v6 for user > DBMS / Business Intelligence > Business Intelligence / Big Data OBJECTIVES Based on tutorials, the training will enable learners to grasp Business Objects (v6) concepts, create simple and complex queries, format reports and analyse the data. Commonly processed tasks and user tools will be detailed and directly used through practical examples. 1) Introduction 2) Business Objects concepts 3) Creating reports 4) Formatting the reports 5) Multidimensional analysis 6) Information on sharing documents Learners will create reports and have the opportunity to practise all covered topics concerning the creation of queries and formatting. Environment : Windows NT, Business Objects, Excel, Access. 1) Introduction - Introduction to Business Objects. - Tasks falling to user in the enterprise. - Presentation and introduction of the training environment (databases, universe). - Presentation of the user tool. First steps with the tool. Description of the query panel interface. 2) Business Objects concepts - Definition and presentation of elements supplied to the user (universe, classes, objects). - Definition and presentation of various types of objects (dimensions, details, measures). - Definition of queries, reports, blocs (tables, charts). 3) Creating reports - Open wizard. Presentation of the choice of data source (universe, external sources). - Creation of simple queries. Handling objects (adding and deleting objects). - Creation of queries with a condition. Definition of operators (selecting a choice of values from a list of values, creating prompts,...). - Creation of queries with embedded conditions (usage of AND/OR). - Using the slice & dice window. (breaks, master/detail sections,...) Creating queries with simple filters. Creating queries with multiple filters. Displaying results (slice & dice). 4) Formatting the reports - Sorting data. - Creating calculations on the report's numerical and alphanumerical data. - Defining, using and creating variables. - Defining and creating alerters. - Filtering ordering and ranking data. - Templates. - Charts. Applying various formats on a report. Creating and using templates. Creating pivot tables and charts from a report. 5) Multidimensional analysis - Slicing & Dicing. - Exploring hierarchies (explorer view). Applying multidimensional analysis on a report. 6) Information on sharing documents - Business Objects messaging. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 8
Hands-on course, 5 day(s) Ref : BID Participants Dataminers, statistical researchers, developers, project managers, business intelligence consultants. Pre-requisites Basic knowledge of relational models, statistics, and programming languages. Basic knowledge of Business Intelligence concepts. Big Data, practical methods and solutions for data analysis Best > DBMS / Business Intelligence > Business Intelligence / Big Data This course will enable you to understand the issues and benefits of Big Data as well as the technologies to implement it. You'll learn how to integrate massive volumes of structured and unstructured data via an ETL, then to analyze them using statistical models and dynamic dashboards. OBJECTIVES Understand the concepts and benefits of Big Data with respect to business challenges Understand the technological ecosystem needed to carry out a Big Data project Acquire the technical skills to manage massive, unstructured, complex data flows Implement statistical analysis models to address business needs Learn about a data visualization tool for reporting dynamic analyses 1) Understanding the concepts and challenges of Big Data 2) Big Data technologies 3) Managing structured and unstructured data 4) Data analysis methods for Big Data 5) Data visualization and concrete use cases 6) Conclusion Set up a Hadoop platform and its basic components, use an ETL to manage the data, create analysis modules and dashboards. 1) Understanding the concepts and challenges of Big Data - Origins and definition of Big Data: BI faced with the growth and diversity of data. - Key figures in the international and French markets. - The challenges of Big Data: ROI, organization, data privacy. - An example of Big Data architecture. 2) Big Data technologies - Description of the architecture and components of the Hadoop platform. - Storage methods (NoSQL, HDFS). - Operating principles of MapReduce. - Overview of the main distributions on the market and additional tools (Hortonworks, Cloudera, MapR, Aster). - Installing a Hadoop platform. - Overview of Big Dataspecific technologies (Talend, Tableau, Qlikview, etc.). Exercise Installing a full Big Data platform via Cloudera and its components. 3) Managing structured and unstructured data - Operating principles of the Hadoop Distributed File System (HDFS). - Importing outside data into HDFS. - Creating SQL requests with HIVE. - Using PIG to process the data. - Using an ETL to industrialize the creation of massive data flows. - Overview of Talend For Big Data. Exercise Implementing massive data flows 4) Data analysis methods for Big Data - Exploration methods. - Segmentation and classification. - Estimating and prediction. - Implementing models. Exercise Setting up analyses with the software R. 5) Data visualization and concrete use cases - Offtheshelf visualization tools - Report formatting methodology - Benefits of Big Data for Social Business. - Measuring the ereputation and fame of a brand. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 9
- Measuring customer satisfaction and experience, optimizing the customer's path. Exercise Installing and using a Data Visualization tool to create dynamic analyses, retrieving data from social media, and creating ereputation analyses. 6) Conclusion - Takeaways. - Summary of best practices. - Bibliography. ORSYS, La Grande Arche, Paroi Nord, 92044 Paris La Défense cedex. Tél : +33 (0)1 49 07 73 73. Fax : +33(0)1 49 07 73 78 page 10