Trends in Analytics
By 2020, more than half of major new business processes and systems will incorporate some element of the IoT. Gartner Unexpected Implications Arising From the Internet of Things report 2016 Analytics are essential to the success of IoT systems. They are arguably the main point of the IoT. Oxford Economics Iot Adoption report - 2016 Business users are demanding faster, more real-time, and integrated customer analytics from multiple sources, so they can make better decisions and increase their company's competitiveness. Forrester The Next-Generation EDW Is The Big Data Warehouse PUBLIC 2
SK Solutions Technical Implementation Collect IoT data and send into the cloud for predictive analytics and machine learning Predictive models to be deployed, updated and executed at the edge PUBLIC 3
SK Solutions Brings Real-Time Analytics to Operation Sites Globally 1000+ crane anti-collision systems installed base crane downtime and maintenance site safety and customer profitability PUBLIC 4
Connected Assets Develop new business models Minimize downtime and recognize errors as early as possible Reduce maintenance costs Move to predictive maintenance PUBLIC 5
The Analytics adoption challenges Which Analytics can I trust? Where can I find them? How do I easily empower users with the right Analytics? What Analytics do I need? PUBLIC 6
STIB - MIVB runs SAP Analytics Hub Pain points Multiple portals (6) Too many clicks to access reports (6+) No inventory of available reports and indicators to onboard new employees Solution: reduce to 2 BI portals Operational portal with Fiori Report Library with Analytics Hub "SAP Analytics Hub is an amazing solution to help uncover the value of our BI environment for the entire organization Rob Roemers, Manager BI Solutions, STIB-MIVB 7
SAP Analytics Strategy
Our Customers Demand: Digital Transformation as a Process Discover Analyse Plan Embed Automate Governed Platform Access Trusted Data Streaming Filters/ILM Virtualised Compliance GRC Reference Data Business IoT Lists ERP Partners Spatial ITOA Other Different Locations: Cloud, data lakes Additional Types: Behavioral data, IoT Better Performance: Real-time results Greater Scope: Predictive, agile analytics Higher Volumes: 40% growth YoY 9
SAP Analytical Architecture Analytics Business Intelligence, Predictive, Planning Characteristics Consolidates data across the enterprise Standardized data model Supports decision making Direct Access Hadoop / Big Data / Streaming Data Warehouse Single Point of Truth Virtual Access ELT ETL Data Sources SAP, non-sap, On premise, Cloud Planning & Forecast Main Tasks Define common semantics Harmonize data values Establish a single version of truth Provide a single, comprehensive source of current and historical information Keep copy of source data to ensure independency of source and support the unknown 10
Meeting the needs across the enterprise Reporting Corporate Dashboards Visualization Self-Service BI Advanced Analytics / Planning Information Consumption & Benchmarking Monitoring, Alerting, Drill-Down, Input & Integration Data Manipulation, Analysis and Visualisation Data Crunching, Machine Discovery and Predictions Batch Pixel Perfect Bursting Historical «Real-Time» Corporate User Experience Governed Analysis Input / Simulation Agility & Visual Discovery Analysis Sharing Guided Modeling (Relation Discovery) Expert Modeling Common Technology Infrastructure Governed Data (Access) Management 11
SAP Lumira 2.0
What is SAP BusinessObjects Lumira 2.0? SAP Lumira is a visual analysis solution that allows end user to easily explore and analyze data with simple drag and drop. 13
What is SAP BusinessObjects Lumira 2.0? SAP Lumira 2.0 consists in two different desktop interfaces and one server component SAP Lumira, discovery SAP Lumira, designer SAP Lumira, discovery for easy end user data discovery and dashboarding SAP Lumira, designer for advanced professional dashboards and applications SAP Lumira, server add-on to the SAP BusinessObjects BI Platform that shares the same security, data management, mobile management as the other modules of the BI suite. Lumira Server on SAP BusinessObjects BI Platform 14
SAP Lumira Discovery Access, clean, and work with data Explore and understand Tell a story and share EASILY 15
Online data access Lumira 2.0 Server Add-On In memory database Lumira 2.0 Runtime No data replication All calculations are delegated to database Leverage OLAP data engine Interesting for large data volume online Hana BW Universe* *only in Lumira Designer 16
Data Acquisition (only from Lumira Discovery client) Lumira 2.0 Server Add-On In memory database Lumira 2.0 Runtime Data Load Hana BW Universe File 3 rd Party Data replication in Velocity engine (in memory database) Allow data merge and data manipulation scenarios Data enrichment and calculations are done locally 3 rd party data source 17
SAP Lumira Server add-on BI Add-On Includes a server add-on for the BI Platform (4.2 SP2+, 4.1 SP8+) Hosts the execution runtime of discovery stories and designer applications and hooks into standard platform content management tools and mechanisms Allows business users to view Lumira documents from the BI Launchpad Business users can interact with data filtering, sorting, and ranking (for example) adapt visualizations, create and share personal views (bookmarks), export data, and print Lumira documents 18
SAP Lumira Designer Trusted data Advanced Dashboard and apps Flexible and extensible 19
Use Case #1: Interactive Dashboard Gain business insight with interactive dashboard Dynamic content Change Visualization type Dynamic tables and charts Filter, Drill up and down 20
Use Case #2: Analysis Application Explore business data and share results with others Ad-hoc query panel Share, open data source, Change visualization Full OLAP capabilities Export As pdf, csv, AOffice 21
Support BW Integrated Planning and Planning Application Kit Input-ready measures Adding new lines Planning functions and planning sequences (including scripting API) Cell Locking Commentary solution based on BW-IP BW-IP&BPC 10.1 Embedded Use Case #3: Planning Application Consume planning query and run planning function 22
Use Case #4: Real-Time Dashboard Visualize real-time business data Create Real-time dashboard Real Time with SAP Event Stream Processor or SAP HANA Smart Data Streaming data source (Push use case) Near Real Time on Hana, BW or universe datasource. Need Timer component for regular refresh 3/5 secs (Pull use case) 23
Use Case #5: Embedded BI Integrate Lumira Designer apps into other applications Embbed Lumira Designer Application OpenDocument technology from the BI Paltform SSO authentication Pass parameters (Session, Prompt, Document ID ) Fiori Integration Design Studio applications running on the BI platform can be integrated into the Fiori Launchpad Design Studio applications appear as tiles in the Fiori Launchpad 24
Bringing together casual users and power users Discovery edition Designer edition Extend Discovery Stories Professional Enterprise Apps Customized Discovery Experience... for the casual user persona... for the power user persona One runtime engine, one file format Enables rapid prototyping by the business to deliver formal dashboard projects Enables rapid polishing and promotion of organically generated visualizations 25
SAP Lumira 2.0 on Mobile Consume Lumira 2.0 Document with the SAP BusinessObjects Mobile app Push SAP Lumira 2.0 Document directly in the mobile BI inbox Securely consume information while being connected Interact with reports via input controls, element linking or geo-maps Take immediate action via send to actions (annotate and share) 26
Convergence SAP Lumira SAP BusinessObjects Explorer SAP BusinessObjects Analysis for OLAP SAP BusinessObjects Design Studio SAP BEX Web Application Designer SAP BusinessObjects Dashboards SAP Lumira 2.0 Data Discovery & Applications SAP BusinessObjects Analysis Office Live Office EPM Add-In SAP BEX Analyzer Analysis Office Live Office* *For inserting report parts from Web Intelligence and Crystal Reports in Excel, Word and Powerpoint. Office Integration Interoperability SAP Crystal Reports SAP BusinessObjects Web Intelligence SAP BusinessObjects Set Analysis Desktop Intelligence Crystal Reports Web Intelligence Reporting 27
Demo SAP Lumira Discovery 28
SAP Lumira Product road map overview - key themes and capabilities Current Releases Planned Q2* and Q3 / 2017 Planned Q4 / 2017 2018 Product direction Analysis & Exploration Modernized user experience Improved Filter and Input Controls Enhanced Visualization experience Improved SAP HANA online analysis Support for SAP BW online analysis Improved Story and Layout capabilities Application Design Componentization and reusable custom components (Composites) Robust bookmarks Mobile UX: Adaptive Layout, Scrolling Interoperability Use acquired data from Discovery as a data source in Designer Extend Discovery stories with Designer Contextual export to SAP BusinessObjects Analysis for Microsoft Office Enterprise Schedule Designer applications based on acquired data Extended support for enterprise deployment SAP Lumira 2.0 Analysis & Exploration Filter support for measures Extend Filtering with cascading and indirect filters Input Controls support on measures Interactive analysis with visualization linking Data level collaboration with commentary Improve visual analysis with Trend/ regression lines and Time series Support for SAP HANA Deployment Infrastructure (HDI) views Filter Dialog enhancements (e.g. copy & paste values) Improved PDF export Enterprise Scheduling & Broadcasting with PDF New SAP Fiori Like Launchpad support Extend Lumira consumption on Mobile Governance and data protection Planned Q4/2017 release Analysis & Exploration Simplify end user analysis e.g. Business Query search, What-If, financial calculation (YTD), custom sort, SAP BW Query linking & axis sharing Improve data preparation and access e.g. Live connection to Universe and Vora, Data Enrichment support for Live connections including blending, Improved calculations and formula editor Extend visualization capabilities, e.g. new chart variations and types, custom tooltips, binning, improved conditional formatting, trend & reference lines, crosstab formatting Enhance & simplify filtering experience e.g. Filter by system variable (Today), Personal selection variants Enterprise Data preparation in the Browser Common and reusable datasets Export to PPT Interoperability SAP BusinessObjects Web Intelligence as a data source Analysis & Exploration Deliver smart data discovery with embedded predictive and machine learning capabilities Continue to simplify and extend analysis& exploration capabilities in key workflows while adding more sophisticated options to combine, enrich and visualize data Enterprise Further investments to simplify deployment and operations of the product Further re-use of application parts to reduce TCO of large content deployments Interoperability Further interoperability with BI 4 Tools and Platform Build bridges to SAP Analytics Cloud Interoperability with SAP Analytics Cloud This is the current state of planning and may be changed by SAP at any time. 29