• Welcome• News• 1 000 Insights in your Pocket• BO 4.1 Upgrades & SLAs• Analytics 3.0• Advanced Analytics• Design Studio• User Survey• BPC• Close

SAP User Forum Oct 2015 Agenda

News – SAP Analytics

SAP Lumira rated second in Forester Wave : Agile PlatformsQ3 2015

News – SAP Analytics

News – Decision Inc.

Decision Inc. acquires Sharepoint competency with Concero

The Mobile Journey

Mobile Growth

Mobile Economy

Why Mobile Apps Work

Impact on Visualisation1. It's Mobile. Shared Experience. Closer to the Event.2. It's an App. No more clunky Web pages.3. It's smaller. Focus on the important stuff.4. It's easier to use. More likely to go viral.5. It's your personal device. You own the information.6. It’s the only way to get Execs to use analytics.

Why Mobile Apps Work

But it is possible to build bad apps ….!

Recent Brandhouse Study

SAP BI Mobile 6.2.4

• View all your BI content without effort• Collaborate and share content easily

Which SAP Analytics Tools??

Tool Supported? Offline?

Crystal Reports Yes PDF

Web Intelligence Yes Yes

Dashboards Yes Limited

Design Studio Yes No

Explorer Yes No

Lumira No -

Lumira Cloud Yes No

What Devices??

Tips for Mobile Design

• Try out your documents on actual devices. BI Mobile does a pretty good job of adjusting screen sizes – but its not perfect

• Check the load time for your reports. Users don’t have patience on mobile devices

• Encourage collaboration – add the IT / developer email to the report so that issues can easily be logged using the built-in annotation and email functionality.

SAP Mobile Jargon

Afaria – Mobile Device Management Tool

Fiori - New User Experience (UX) approach to development

UI5 - Web and Mobile Development standards

SMP - Complete Mobile Development Platform

SDK – Integrate SAP Mobile BI with your mobile app

• SAP BO 4.1 Upgrades• Lessons learnt

• Service Level Agreements• Decision Inc. SLA offerings• SAP Business Objects Monitoring

BO Upgrades – Lessons Learnt, SLAs and Monitoring

Upgrading to SAP BO 4.1

Upgrade Paths

Upgrade Reviews – Customer feedback

• What was the major reason for your upgrade to 4.1?

• What went wrong unexpectedly?

• What went well that you thought would be a problem?

• What did you consider only after you started?

• What has been the general user feedback so far?

Lessons Learned

• Project plan• Budget enough time for the upgrade – the unexpected can happen!• Setup enough time with the infrastructure team, DBAs, end users etc.

• Upgrade strategy• Decide on whether your upgrade is in phases or not• Create a test plan

• Setup enough time to troubleshoot and to develop workarounds.

• Set user and management expectations early

• Installation and Migration

• Go Live and Enablement strategy

• Follow the best practices for installing and migrating contents

• Decide on whether you will do a full system migration or objects will be migrated in batches• Plan the system down time carefully and communicate accordingly

• Fully train/educate the end-users and associated IT teams before and after going live• Make sure you have an effective support model before going live

• Split your services to enhance performance

• Do an upgrade assessment and size your environment from the beginning

• Copying software to the server is time consuming. Prepare software files in advance.

Upgrade Reviews – Customer feedback

• What was the major reason for your upgrade to 4.1?

• What went wrong unexpectedly?

• What went well that you thought would be a problem?

• What did you consider only after you started?

• What has been the general user feedback so far?

Decision Inc SLA Offerings

• Proactive support

• Reactive support

• System health checks

• Report Schedules

• Service packs

• Backups

• Root cause analysis

• Ad hoc

SAP BO Monitoring

SAP Business Objects Monitoring

Purpose of SAP Business Objects monitoring application

Helps administrators to;

• Identify if applications are functioning normally

• Check the performance of servers.

• View any recent failures easily on the dashboard.

• Check system availability and response time.

• Analyse peak load and peak period for BO.

• Prevent system failures

SAP Business Objects Monitoring Terms

Metrics

• Example metrics. Health State

0 - indicates that the health of the metric is bad 1- indicates that the health of the metric is deteriorating 2 - indicates that the health of the metric is good

Server Running State Free Disk Space in Root Directory (GB) Total Disk Space in Root Directory (GB) Disk Size

• There are a number of predefined metrics in the system such as; CPU Utilization for the last 15 minutes Total Memory Number of Deadlocked Jobs

• Something to be measured, and it is the foundation of the monitoring engine.

SAP Business Objects Monitoring Terms

Probes

• Examples CMS DB Connection

• This probe tests the availability of the repository database CMS log off

• This probe tests the availability of the CMS and the ability of users to log on to the system through client applications.

Crystal Reports Service• This probe will run a Crystal report using page and Cache Servers or RAS and track

how long it takes to refresh it. Start Stop Servers

• It will stop and start all of your servers.

• By scheduling probes to run at specified intervals, administrators can track; The availability and performance of key BO services

• Simulate the different functionalities of SAP BO components.

• Monitor different BO services and they return Boolean results

SAP Business Objects Monitoring Terms

Watch

• Users can associate thresholds and alerts to a watch.

• You can create a watch using data from probes.

• Provide real-time status and historical trends of servers and workflows within the SAP BO environment.

Creating and Scheduling Probes

Creating and Scheduling Probes

Creating and Scheduling Probes

View Alerts in Launchpad - Alerts module

Analyse Alert

• Welcome• News• 1 000 Insights in your Pocket• BO 4.1 Upgrades & SLAs• Analytics 3.0• Advanced Analytics• Design Studio• User Survey• BPC• Close

Agenda

Todays Business Environment

Rand to the Dollar

Gold Price

Todays Business Environment

Platinum Price

JSE All Share Index

Evolution of Technology

Digital Economy

Digital Economy

Digital Economy

Digital Economy

Digital Economy

Evolution of Technology

Evolution of Technology

Evolution of Technology

Analytics 3.0

Thomas Davenport, International Institute for Analytics

Analytics 3.0

“The impact of the data economy goes beyond previous

roles for data and analytics; instead of slowly improving

back-office decisions, the data economy promises new

business models and revenue sources, entirely new

operational and decision processes, and a dramatically

accelerated timescale for business.”

Thomas Davenport, International Institute for Analytics

Analytics 1.0

• The era of Business Intelligence• Ability to manage data• Database technology and its inefficiencies defined how we worked with

information – developed solutions around these constraints• Focus was on understanding the past – no predictions or explanations

Analytics 1.0

• Users were delivered a reporting platform to query• Technology centred around the cube• Reports are static• Reports are slow to run• Reporting and analysis are an IT function• Market dominated by the mega vendor – SAP, Oracle, IBM

Thomas Davenport, International Institute for Analytics

Analytics 1.0

• Technology evolved!!!!• In-memory became a disruptor• The large mega-vendor was being overtaken by smaller, more agile competitors• Business’s frustration with IT meant that they were open to new technologies

that could help them – Lumira, QlikView, Tableau

Thomas Davenport, International Institute for Analytics

Analytics 2.0

• The era of Big Data• Creation of powerful new tools• Companies were creating masses of data• Need to look at more than just corporate data

– Unstructured data– Other data sources– Consumer data

Thomas Davenport, International Institute for Analytics

Analytics 2.0

• Technology no longer the bottleneck• Hardware can support significant volumes of data at great speed• The ability to engage in real time offers great opportunity to users• Batch processing to the data warehouse no longer the crucial enabler

Thomas Davenport, International Institute for Analytics

Analytics 3.0

• Analytics to support customer facing products, services and features• Analytics embedded in everything we do• New revenue channels developed, made possible by access to data

Thomas Davenport, International Institute for Analytics

Analytics 3.0

Analytics 3.0

• The next wave is about making information and insights pervasive in everything we do

• Understanding how we use information to drive performance improvement• Focus is on building and providing a platform for users to engage• Consumers and business are expecting this from their technology

Analytics 3.0

What does this mean??

• Multiple types of data from multiple sources at varying levels of granularity• Analytics is embedded in operational and decision making processes• Technology is getting even faster and more agile• The role of the data team changes• Focus on data science• Emphasis on Prescriptive Analytics• Expectation on the platform to enable users• Technology needs to prompt me to act• Speed is everything

Analytics 3.0

• Prescriptive Analysis

https://www.youtube.com/watch?v=D6m4xRPfWTg

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Agenda

Advanced AnalyticsWhat is Advanced Analytics?

Overview:

- Advanced analytics has existed for over 20 years

- The Big Data revolution has accelerated interest in the market and its position within business

- Its a group of analytical techniques used to deliver deeper data knowledge to

- Diagnose – Why something has happened

- Predict – What is likely to happen in the future

- Prescribe – What is the best course of action to take

Source: Gartner (October 2014)

Market Leaders Who else uses analytics to drive business strategy

Innovative, cutting edge global companies have been leveraging advanced analytics for years. Companies such as Amazon have leveraged these techniques to catapult from start-up to global player.

- From a business context, where can we apply advanced analytics?

- Customer acquisition – How to acquire new customers more effectively

- Churn prediction – Be more deliberate in our interventions to retain customers

- Customer segmentation analysis – understand the different needs of our customers

- Price elasticity – determine the optimal price that will help maximise revenue

- Econometric modelling – Determine what the likely financial impact of a decision will be

- Customer lifetime value calculations – A&R budgets coupled with Marketing Science

- What has been the key success of these companies?

- Marrying statistical methodologies with innovative technology has been a key driver for these companies in better serving their customers and reaching their strategic goals.

- Organisations need to capitalise on the global movement of smarter, more innovative ways of servicing their customers through advanced analytics, in order to grow their market presence and fend off staunch competition

What does this mean for you?Why is Advanced Analytics relevant?

Advanced analytics guides the organisation by:

- helping them to use their data more effectively,

- enabling the organisation to drive business decisions in an informed manner,

- making the organisation more competitive through better insights,

- decreasing the time is takes to respond to both customers and the market

- promotes disruption through innovation to improve both effectiveness and efficiencies

How to embed advanced analytics within your organisation

- Any analytical strategy needs to be embraced by the company’s employees

- They need to believe in the concept and trust that it will add value

- It needs to become part of the organisations DNA

- Leverage suitable technologies, one such example is SAP Predictive Analytics

SAP Predictive AnalyticsOverview

Key Points to note:

- The tool is designed for both beginners and advanced Data Scientists

- Very intuitive user interface and can be leveraged from day 1 to gain deeper insight into your data

- There are a number of built in machine learning / predictive algorithms which are easy to execute

- Has the ability to easily integrate into Open Source R if required

*Caveat- Its key that you understand the model results and output to ensure that the models are used correctly

Types of Predictive Models that can be developed

- Segmentation models to derive customer profiles

- Classification Models to predict the probability of an event occurring

- Advanced forecasting algorithms which factor in seasonality

- Social Media and Text Analytics

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What we are going to coverPredictive Models in SAP

Demo will cover the following

- Import a standard dataset

- Create a statistical profiling model (Cluster Analysis)

- Create a predictive classification model (Decision Tree)

- Run a time series forecast (Triple exponential smoothing)

Overview of Dataset

- Customer centric dataset with unique customers and their key characteristics

- Fields of interest include: Age, No. of children, occupation, commute distance, region, income and whether a customer purchased a bike or not.

What are we aiming to achieve

- Improve our understanding of the different groups of homogenous customers

- Predict based on a customers profile whether or not they will purchase a bike

- Understand what is likely to happen to revenues in the coming months

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• Welcome• News• 1 000 Insights in your Pocket• BO 4.1 Upgrades & SLAs• Analytics 3.0• Advanced Analytics• Design Studio• User Survey• BPC• Close

Agenda

Agenda

• Positioning of Design Studio in the SAP ecosystem

• Xcelsius vs Design Studio

• A brief interactive look at the tool

Positioning of Design Studio

• Premier application and dashboard authoring tool

• Used when a customized user experience is required

• Good with OLAP sources

• Built from the ground up to use HTML5 technology

Xcelsius, Design Studio and Lumira

In surveying the typical Xcelsius users, 2 types were identified.

• Business Analysts – quickly visualize excel data.• Industrial dashboard builders – deliver complex visualisations to large

audiences.

According to SAP neither user group was served particularly well with Xcelsius.As Xcelsius grew to accommodate the needs of the industrial dashboard builders it became overly complex for the business analysts and lost some of its appeal. On the other hand, the industrial dashboard users were frustrated as the need to visualise large data sets grew.

Divergence

• Lumira intended to satisfy the need for data discovery & analysis.• Design Studio intended as the industrial strength tool for dashboard

builders.

Xcelsius vs Design Studio

Visualization

Xcelsius Design Studio

Native support for Flash & HTML5 Native support for HTML5

Variety of advanced visualizations such as bullet charts, sparklines, scorecards, gauges, sliders etc.

Good support for basic charts

Xcelsius vs Design Studio

Styling

Xcelsius Design Studio

XML-Driven custom colour schemes. Support for custom templates.

Support for multiple themes and colour palettes.

CSS support.

Xcelsius vs Design Studio

Publishing to platforms

Xcelsius Design Studio

BO, BW BO, BW, HANA

Xcelsius vs Design Studio

Data Sources

Xcelsius Design Studio

Support for BW universes BPC and BW planning cubes

A variety of advanced connections such as web services and XML

Support for BW, HANA and universes

Live office Integrates seamlessly with Fiori (HANA) applications

Complex Bex structures NOT supported on mobile

Can support crosstabs on mobile

Xcelsius vs Design Studio

Extensions

Xcelsius Design Studio

Advanced flex SDK for custom add-ons A robust and growing custom extension ecosystem

Supports data connector extensions Supports data connector extensions

Compatibility with SAP Lumira CVOM Extensions

Xcelsius vs Design Studio

Predictions & Projections

Xcelsius Design Studio

Supports what-if? analysis Supports BW integrated planning

Excel driven formulae and calculations BIAL scripting to drive simple calculations and functions

Xcelsius Design Studio

Support for offline mode No official capacity

Save scenarios Bookmarks equivalent

Offline analysis

Xcelsius vs Design Studio

DevelopmentXcelsius Design Studio

Static data source support so quick demos Proper design critical, ad hoc changes can affect performance

Adaptable to ad hoc design changes Default component behaviour can be entirely modified using event based scripting.

Component behaviour modifiable with Excel formulae

Access to properties and methods of other components through scripting.

Support for debugging and logging.

Performance

Xcelsius Design Studio

High initial load times but slicker performance once loaded

Lightweight and quick to load

Voluminous data can present problems Browser dependency

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Agenda

Approach

• Invite a selection of users for their feedback• Survey Monkey used to capture results• Correlate results to get a baseline ‘satisfaction’ score• Results presented back in Lumira model

Questions

Area Question

Usefulness You get everything you need from your BI solution and do not need to export the results into Excel.

You get insights into your business and gain a business advantage by using the solution.

You get enough information to effectively manage your business area.

Performance Your reports and dashboards are quick enough for you to use.When you request a change or a new report, you do not have to wait too long before you are able to use it.

Knowledge You know how to filter and drill-down on your reports and dashboards.

You can add new data to an existing report or dashboard easily.

User Experience You enjoy working with your BI solution .

Security You are not worried that the wrong people could get hold of information in your reports.

Permissions You have the appropriate permission to do everything you want in your BI solution .

Data You trust the data presented to you implicitly.Net Promoter Score You would recommend your BI solution to people in other organisations.

Link to Survey

We help bridge the gap between Strategy and Execution by building an EPM platform that facilitates

faster, more accurate and Lower Risk decision making.

Strategy Execution

Enterprise Performance Management (EPM)

The EPM Journey

Plan

Report

Analyze

Monitor

Model

Strategy Execution

Decision

Decision

ModelWhat if VersioningScenario Analysis

PlanBudgets, ForecastsOperational Plans

ReportManagement & StatutoryConsolidations & Reports

AnalyzeFinancial & OperationalAnalytics

MonitorScorecardsPredictive Analytics

ERP CRM SFA SCM

Transaction Platforms

• Well organised• Centralised• Secured• Covering all necessary users

The EPM Challenge

Performance Measurement

Strategic Planning

Budgeting

Forecasting

Periodic Close

ERP CRM SFA SCM

Transaction Platforms

• Well organised• Centralised• Secured• Covering all necessary users

The EPM Challenge

Performance Measurement

Strategic Planning

Budgeting

Forecasting

Periodic Close

“…our reliance upon and use of spreadsheets represents one of the single greatest threats to corporate data quality and accuracy”

Managing Spreadsheet SprawlButler Group Review

The EPM Solution

WEB

Strategic Planning

Budgeting

Periodic Close

Forecasting

Performance Measurement

Col

lect

ion

Con

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Ana

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R

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Dis

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Operational Tasks

ERP CRM SFA SCM

Transaction Platforms

Built In WorkflowUser Friendly Interface

Integration to Source Systems

Single EPMData Source

The EPM Solution

WEB

Strategic Planning

Budgeting

Periodic Close

Forecasting

Performance Measurement

Col

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Con

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Ana

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Operational Tasks

ERP CRM SFA SCM

Transaction Platforms

What if Versioning

Multi Year Plan

Scenario Analysis

Top Down Allocations

The EPM Solution

WEB

Strategic Planning

Budgeting

Periodic Close

Forecasting

Performance Measurement

Col

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Con

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Ana

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Operational Tasks

ERP CRM SFA SCM

Transaction Platforms

Report Pack Distribution

Top Down Scenario Setting

Budget CedingCorporate Guideline Communication

Bottom up collection & consolidation

Multi Currency

Financial/Operational Metrics

Driver Based Calculations

Top Down Adjustments

The EPM Solution

WEB

Strategic Planning

Budgeting

Periodic Close

Forecasting

Performance Measurement

Col

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Con

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Ana

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R

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Operational Tasks

ERP CRM SFA SCM

Transaction Platforms

Management & Statutory Report Packs

Management & Statutoryconsolidations Complex Group

Ownership

Multiple GL data upload with mapping

Manual & Automated Journals

Inter Co. Matching & Elimination

Validation Checks

Multi-Currency Conversions

The EPM Solution

ERP CRM SFA SCM

Transaction Platforms

Familiar & Easy to Use

Rapid, broad adoption & reduced learning curve

Process- centric

Greater consistency and minimal training

UnifiedLower maintenance and Faster Scenarios

IntegratedData Accuracy & Lower maintenance

The EPM Value

Our EPM solutions– Reduce Financial Process Time– Improve the quality of operational / Financial information– Simplify the Planning & Reporting Processes– Improve Decision Making

Our EPM Projects- Are Implemented 50% faster- Offer reduced implementation risk- Provide a faster ROI

Benefits of BPC

What our customers say: • Near real time data sharing• Defined and controlled business process workflow• Single version of fast accurate data - improves decision making• Reduced planning time by 40%• Increased reporting capability by 70%• Reduced project deployment by 55%