SAP Innovation Awards 2019 Entry Pitch Deck

Swisscom AG

OneBI – Enabling the intelligent enterprise with a modern data and analytics platform

2

Intro video

https://www.youtube.com/watch?v=t6hWz6iIEB8&feature=youtu.be(This video was published in 2017 after the successful Go-Live of OneBI, see also slide 6, #3)

3

“Quote” Challenge

Solution

Outcome

OneBI – Enabling the intelligent enterprise with a modern data and

analytics platform

>50% fewer losses from non-

payments in the Carrier-Billing

unit

30% reduction of incidents

and problems in IT services

due to predictive incident

management

80% fewer reports – from

5,000 rigid reports to 1,000

flexible queries

Swisscom AG

“Our biggest

accomplishment is that

we have created a

single central financial

data warehouse that is

adaptable as

situations change. It

allows us to work

nimbly with the

business to react to

market developments.”

Rolf Stettler,

Head of Controlling,

Swisscom AG

4

Business Challenge & Objectives

Business Challenge:

From a merger, Swisscom had inherited an ERP system and 15-year-old Data Warehouse (DW) landscape, the latter being characterized by complicated architectures and several third-party applications. Swisscom wanted to make it easier to use these warehouses for financial close operations. But Swisscom also had other Business and IT challenges to resolve with the new central enterprise wide SAP data warehouse: Due to the lack of real-time information, some key processes, such as precise planning of product deliveries from manufacturers to Swisscom shops was not possible. And Swisscom’s IT was struggling with data source interfaces that were expensive to maintain, a dependence on specific individuals and dated reporting and analytics software, to just name a few.

So rather than just consolidating its enterprise wide SAP DW landscape, Swisscom set out to completely rethink its approach and architecture to data management and analytics to be able to keep up with the fast-moving pace and constantly changing environment of the ICT industry and to support new business opportunities and models based on near real-time insights.

Objectives:

The objective of Swisscom’s multi-phase project called OneBI was to transform its separated DWs and reporting systems into a central, enterprise wide modern data and analytics platform that serves as a single source of truth for financial data with insights based on near real-time data, predictive and machine learning algorithms, a modern user experience with flexible reporting and dashboarding capabilities - while being fully compatible with its current and future operational and big data systems. To this end, Swisscom set out to leverage SAP’s innovations in the area of data warehouse, data management and analytics.

5

Project / Use Case Details

1. In 2015, set up a data governance framework to provide a standard set of implementation pattern & processes and

support data warehouse maintainability. This was crucial for the new DW landscape to adhere to the mandatory high

data security and privacy standards of the Swiss Government, which are comparable to GDPR.

2. Gathered requirements for +250 existing use cases and designed a new single source of truth for financial data.

After two pilots, Swisscom aimed to replace the existing DWs in a Big Bang approach consisting of 25 sub-projects

without a fall-back solution as several ERP systems had to be merged simultaneously. To minimize project risk,

Swisscom enlisted the support of its Human Centered Design team to define a standardized (industrialized) agile

implementation approach.

3. In a first step, Swisscom merged three DW into a single DW running BW on HANA covering finance and controlling

data as well as all other SAP ERP processes while ensuring regulatory compliance for data access and interfaces.

Swisscom has a multitenant installation of SAP HANA, with HR data residing in a separate tenant for security

reasons. The new DW also supports hybrid modelling capabilities and real-time data provisioning and paved the

way to the planned conversion to SAP BW/4HANA. OneBI went live on January 1st, 2017 with 250 use cases.

4. In 2018, Swisscom completed the first conversion from SAP BW 7.50 to SAP BW/4HANA worldwide, assisted by

SAP’s Analytics and HANA Competence Center. This move further improved IT operations with simpler data

modelling, reliability of data uploads, easier source connections and smarter integration with SAP and non-SAP data

sources. SAP BW/4HANA also ensures full compatibility with other SAP products being implemented (SAP

S/4HANA, SAP Analytics Cloud) or in use (SAP Ariba, SAP Fieldglass) at Swisscom.

5. Also in 2018, integrated SAP Predictive Analytics on a separate tenant. Partnering with the business, use cases for

Carrier Billing, Cash Management and IT Event Management were successfully launched, immediately resulting in

substantial cost savings, additional insights and better customer service.

Swisscom was awarded Gold by SAP Switzerland in the category “Business transformation” of the SAP Quality Awards

2018, see also this link.

6

Benefits and Outcomes

Business / Social IT Human Empowerment

• Achieved full transparency of

the financial closing process

with near real time reporting to

support a fast close

• Optimized stock and shop

delivery processes thru near

real time cross company

product planning (e.g. Apple)

• Achieved substantial savings

with predictive use cases:

1) Carrier billing: Reduced

losses from non-payments by

more than 50%

2) Treasury: Reduced daily

liquidity requirements by CHF 2

million

3) IT: Reduced number of

incidents by 30%

• Improved collaboration between

Business and IT in Analytics

• Created a common, standard

data foundation with reference

architecture and governance

framework

• Reduced IT services workload

by 1/3 due to analytical design

patterns and intuitive interfaces

• Cross application (360 degree)

analytics in key processes

(Sales, Material Management)

and virtual integration of

operational data into the data

warehouse

• Improved report execution

performance by a factor >100

• Reduced data volume by >70%

with data tiering optimization

• Deployed "Single sign on" to

"Single Source of Truth" for

financial analytics and BI

• Launched a business driven

development approach with

reduction of reports by 80% and

self service analytics

(dashboards)

• Reduced time to deliver use

cases from weeks or months to

days (sprint) with development

methodology "SAFe" leading to

self-organized teams and

empowerment of employees

• Promoted cost efficient &

sustainable behavior by

providing insights on individual

consumption patterns, e.g.

relating to phone costs or CO2

7

Architecture

8

Deployment

SAP Technologies Used:

Server Processor:

Linux Distribution:

Date of Deployment or POC:

Number of live users:

Migration to BW on HANA on Jan 1st 2017, conversion to BW/4HANA in August 2018, predictive uses cases deployed throughout 2018

15,000

Red Hat Enterprise Linux Release 7.2

SAP HANA

SAP ERP on HANA

SAP BW/4HANA

SAP Predictive Analytics &

SAP Analytics Cloud

SAP Ariba/SAP Fieldglass

Live?

HPE ProLiant DL580 Gen9 Xeon E7-8890 v4 2200 MHz 192 CPUs 3TB

9

Emerging Technologies and Use Cases

The following Emerging Technologies and use-cases are part of the project and describe the

contribution

Technology or Use Case Yes/No Contribution to Project1. Machine Learning / Artificial

Intelligence

Yes Predictive Event Management:

Process automation of incident

management by analysing logs

2. IoT

3. 3D printing

4. Blockchain

5. API Economy / Integrate the

Intelligent Enterprise

Yes Carrier Billing: Provide the

payment transaction system with

additional insights thru an API to

optimize approvals of online

purchases made thru NATEL® Pay

6. Cloud Native / Event Based

Architectures

7. Extending the digital core with SAP

CP / ABAP in SAP CP

8. SAP Leonardo Application ( extending

SAP application, using Industry

Innovation Kits or result of Design

Thinking workshop)

OPTIONAL