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The Digital Mining IndustryUnlocking New Business Value with Intelligent Technology

SAP Point of View | PUBLIC

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“Radical change in the mining industry is occurring at a rapid pace. Mining companies must

be able to respond to uncertain and changing conditions profitably, yet still deliver on

customer requirements while meeting governmental regulations and societal expectations.

How does a digital core with a true single source of truth help?

Innovative mining companies are already creating the next generation of business models

that are powered by insights gleaned from data collected from assets and vehicles,

wearables, weather maps, and changing supply and demand patterns.

We are looking forward to helping shape the mining companies of the future by powering

innovators with the Intelligent Enterprise.”

Eckhardt SeissGlobal Vice PresidentMill Products and Mining Industry Business UnitSAP SE

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Sustainability

Electric vehicles, the circular economy, and

renewable energy are leading to a shift in demand.

The global movement toward increased recycling

and renewable energy will reduce demand for

some mass commodities. Meanwhile, electric

vehicles will increase demand for rare commodities

where the demand outstrips the supply.

Mining companies are shifting focus to commodities that

provide new growth and margins, such as components

for electric vehicles. In addition, mining companies are

themselves looking to increase the deployment of electric

fleets in their operations. Energy and water continue to be

major areas of focus for mining companies that want to use

technology to drive efficiency.

Knowledge Workers

Increasing automation, high-tech equipment and

processes, and the mountains of data coming in

from increased use of the Internet of Things are

driving demand for highly skilled labor. Mining

companies are competing with other industries for

the same labor force in this area.

Mining companies will have to look increasingly outside their

usual talent pools to find workers with the new skills and

mind-set to meet their needs and provide fresh ideas and

inspiration for growth.

Automation and Robotics

Automation and robots will increasingly allow mining

companies to move people out of hazardous areas

and allow mining in areas thus far impossible to

reach, such as deep-ocean locations. Automation

is also driving big efficiency gains in back-office

processes for repetitive non-value-added tasks.

From robotic drills to aerial drones, automation is bringing a

new measure of safety to mines – and boosting efficiency.

We are moving toward fully automated mines completely

operated by machines, with few to no people on-site.

Machine learning and real-time advanced analytics will

enable operations to become more efficient, less interrupted,

and smoother than before.

Mining Companies Face New Challenges and Opportunities

Amid Digital Disruption

Leading mining companies use market dynamics to create and capture new business opportunities.

Leading mining companies

use digital technologies to:

▪ Eliminate redundancies and

lag in execution times to

improve productivity

dramatically and further

reduce capital and

inventories as a result of

improved collaboration and

sharing within the network

▪ Create innovative business

processes and services to

enhance customer and

supplier experience and

loyalty

▪ Drive efficiency in

operations and customer

engagement to protect the

bottom line

▪ Minimize resources, energy,

and environmental impact

along the entire value chain

to protect brand and

reputation

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The regulatory, competitive, natural, and economic playing fields create and constrain opportunities to drive

efficiency and capture new growth potential.

Make the business more predictable, sustainable, and agileUse advanced predictive analytics and machine learning integrated with real-time information to help make vast operational

data more actionable. Predict outcomes and exceptions to support the right decision-making, making mining more predictable,

agile, sustainable, and safer for the workforce.

Collaborate with customer, suppliers, and workersTransform interactions with all stakeholders into an interactive, collaborative, responsive network to strengthen relationships

and digitalize data exchanges. Make the business more agile, increase profitability, and digitalize the worker.

Increase productivity through automationDigitalize and automate manual processes and focus on value-added processes for employees while automating operations

to keep workers out of hazardous environments.

Focus on the customerTransform the sales process through e-commerce platforms and with a 360-degree view of the customer to strengthen the

customer relationship.

Business optimization and extending the value of key processes are key priorities for innovative mining companies that

want to simplify and reimagine their business and free up resources to invest in transformative programs.

With Huge Opportunities and Challenges, It Is Essential to Focus

On the Right Strategic Priorities to Drive Digitalization

50% By 2019, 50% of major mining

companies will have initiated

workforce transformation, focusing

on automation, mobility, augmented

reality, and cognitive to increase

productivity, safety, and collaboration.1

2.8%Productivity in mining is finally

starting to improve, increasing

2.8% since 2014. This is still 40%

lower than the baseline in 2004.2

50%–80%For terrestrial mines, 3D printing

has helped to reduce costs by

50% to 80%, compared with

standard manufacturing methods.3

51%IDC’s research shows that

more than 51% of mining

companies globally are

expecting their spending on

IT-related investments within

IT and operations to increase

in the next 12 months.4

1. “Why IDC Energy Insights for Agile Mining Operations,” IDC.

2. “The Missing Link in Mining-Company Productivity: People,” McKinsey&Company, May 2018.

3. “Scoping Paper: Mining and Metals in a Sustainable World,” World Economic Forum in collaboration with Accenture, February 2014.

4. Emilie Ditton, “Mining’s Digital State,” LinkedIn blog, October 2018.

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Our Point of View: To Achieve These Strategic Priorities, Leading Mining Companies

Are Becoming Intelligent Enterprises

An intelligent enterprise enables employees to focus on higher-value outcomes and invent new business models and revenue streams.

Optimize and extend the value of current processes Transform with next-generation business processes

By applying intelligent technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, and advanced analytics, leading mining companies

transform into event-driven businesses. These event-driven businesses automate repetitive tasks, enable employees to focus on higher-value tasks, and allow the

invention of new business models and revenue streams by monetizing data-driven capabilities and applying core competencies in new ways.

Optimize existing

processes for more

efficiency or reliability.

Extend current business

processes beyond efficiency

gains to capture new sources

of value.

Transform the company’s

value chain or business

model to capture new

revenue streams.Optimize Extend Transform

Industrial automation

Business process

automation

Digital transformation

Intelligent enterprises

Pro

ductivity

Time

High-value tasks

Repetitive tasks

Automation

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SAP Enables Mining Companies to Become Intelligent Enterprises

SAP helps mining companies transform into intelligent enterprises through integrated business applications that use intelligent technologies and can be extended on

SAP® Cloud Platform. This enables next-generation business processes to deliver breakthrough business value on our customers’ journeys to becoming intelligent

enterprises.

Intelligent Suite

The set of applications provides the business capabilities that mining companies need to run

their business. End-to-end business processes span multiple applications, so processes and

data must be integrated for automation, a seamless user experience, fast adoption, and

ease of operations.

Intelligent Technologies

Several innovative technologies have matured to practical use:

The IoT makes business applications interact with the physical world.

Big Data makes large data sets accessible for advanced analytics and intelligence.

Machine learning and AI automate repetitive processes and learn from human exception

handling and decision-making.

Advanced analytics find data patterns to support decisions and predict the future.

Blockchain distributes collaborative processes across the entire value network.

Data intelligence finds new value in data assets for new business models.

Digital Platform

The digital platform, which is powered by SAP HANA®, extends intelligent, end-to-end

processes and connects to these data sources:

Cloud platform that allows customers and partners to extend their intelligent suite to run

additional business processes

Data management to handle and organize data, a key asset of an intelligent enterprise

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SAP Leonardo

SAP Leonardo technologies bring the power of

intelligent technology to your platform and applications

to streamline existing workloads, reveal optimal

decisions, maximize revenue and profits, improve

customer satisfaction, and capitalize on digitally

transformed business models.

In addition, companies can use SAP Leonardo

Services, delivered by world-class innovators

that combine industry and emerging technology

expertise, to help drive innovation and business

impact at scale. SAP Leonardo

Intelligent Technologies

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SAP Leonardo: Intelligent Technologies Optimize, Extend, and Transform

the Business

▪ Digital boardroom

▪ Asset intelligence network

▪ Predictive maintenance and service

▪ Mining fleet operations

▪ Connected worker safety

▪ Intelligent supply chain for assets

▪ “Run a mine like a factory”

▪ Image recognition for spare parts

▪ Cash application

▪ Energy management

▪ Inventory optimization

▪ Remote condition monitoring of assets

Intelligent scenarios in mining companies

SAP Leonardo technical capabilities are embedded in business-core and industry applications to optimize and extend business processes. Companies can also

use them together with innovation services to build and assemble next-generation business processes. For mining companies, we support more than 20 intelligent

scenarios to optimize, extend, and transform their business. Below are a few highlighted ones that will be further explained on the following pages.

Optimize existing

processes for more

efficiency or reliability.

Extend current business

processes beyond efficiency

gains to capture new sources

of value.

Transform the company’s

value chain or business

model to capture new

revenue streams.Optimize Extend Transform

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SAP Leonardo: Applications Optimize Business Processes

Optimizing business processes results in achieving the same business outcome more efficiently and reliably. We begin with

scrutinizing current practices: What can be automated using machine learning and AI? How can we make processes aware

of the real world by connecting them to the things around them? How do we give people the right analytical tools to make

sense of vast amounts of data and to handle exceptions?

Cash application Energy management Inventory optimization Remote condition

monitoring of assets

Labor-intensive and error-prone

invoice-matching processes

Inability to accurately monitor, plan,

and predict energy consumption

and cost due to lack of data

integration

Inventory inaccuracies that cause

delays for operations; difficulty with

identification of spare parts and

their location that causes delays to

support field operations

Reactive service processes and

high service efforts

SAP Cash Application software

uses machine learning to boost

automatic matching rates and free

up finance professionals to focus

on strategy and service quality.

SAP Leonardo technologies

provide services that monitor real-

time energy use and improve

energy forecasts by analyzing

historical data combined with

production planning and

maintenance plans. Machine

learning supports the detection

of consumption disparities.

Inventory optimization functionality

enables accurate tracking of

inventory and identification of parts

availability, location, and logistics

for field delivery. It provides

information to support equipment

repair, startup, and operation and

updates inventory as parts are

used.

The SAP Cloud Platform IoT

service and the SAP Predictive

Maintenance and Service solution

enable companies to connect,

remotely monitor their customers’

machines, and react to issues in

real time.

▪ Increased productivity

▪ Reduced error rates

▪ Optimized energy use

sustainability

▪ Reduced energy costs

▪ Reduced costs and penalties

for external energy purchases

▪ Reduced time to service

▪ Increased inventory accuracy

▪ Reduced costs

▪ Increased overall equipment

efficiency

▪ Reduced maintenance efforts

and costs

BASF SE

is using machine learning to

increase efficiency in its finance

organization: 94% of payments

are now auto-matched to invoices.

Severstal

is using the Internet of Things

and machine learning to minimize

energy costs and combat electricity

fraud by monitoring real-time

energy use and analyzing energy

consumption disparities.

HOERBIGER Holding AG

monitors customers’ remote

wellhead compression units.

Service technicians need to

travel to the asset only when

maintenance is required, based

on live insights from the assets’

operational status. Service tickets

are generated automatically.

Operating hours are transferred

for pay-per-use billing.

Optimize

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SAP Leonardo: Capabilities and Services Extend Current

Processes to Capture New Sources of Value

Extending business processes aims at generating more value and new outcomes. It begins by challenging the status quo:

Are we doing the right things in managing assets or in shaping customer relationships? Innovators use digital technology

to reimagine business processes to create new value. Outages never happen, because they have been predicted and

prevented. Customers receive service before they realize they need it. Assets go smoothly through their lifecycle because

they are networked with OEMs and service providers.

Digital boardroom Asset intelligence

network

Predictive

maintenance

and service

Mining fleet

operations

Connected worker

safety

Delayed view of company

situations and key figures

across departments

Costly asset downtime due

to wrong parts, procedures,

or diagnosis, or wrong

workers assigned for the

repair

Costly outages due

to unscheduled asset

downtime

Difficulty maintaining

the fleet to support field

operations; difficulty

knowing which vehicle to

fix, scheduling the repair,

and arranging for parts

delivery, which takes time

Limited ability to reduce risk

of hazardous situations;

limited insight into root

causes of incidents and

their implications

SAP Digital Boardroom

provides real-time

contextual information and

ad hoc analysis from across

the organization. Built on

the SAP Analytics Cloud

solution, this next-generation

portal leverages line-of-

business data from

SAP S/4HANA and other

software to provide a

single source of truth.

SAP Asset Intelligence

Network enables content

delivery from suppliers to

maximize asset mainte-

nance processes while

reducing nonproductive

time. It improves operating

efficiency, reduces

downtime, and speeds

searches for equipment

information.

The SAP Predictive

Maintenance and Service

solution uses sensor and

condition data to predict

and prevent failures,

helping to optimize

asset performance

and availability.

The fleet operations option

for the SAP Leonardo

industry innovation kit

for Mining tracks vehicle

performance to optimize

utilization and reduce

maintenance costs. It tracks

a vehicle, determines the

shortest route to repair

locations, and confirms that

service parts and personnel

are present to make the

repair, thereby minimizing

downtime.

The SAP Connected

Worker Safety solution,

which is powered by SAP

Leonardo, enables the

proactive warning of

workers to avoid incidents –

by directly analyzing

incoming IoT data from the

working environment.

▪ Faster, more informed

decision-making

▪ Increased time to focus

on strategic activities

▪ Reduced time to service

▪ Reduced equipment

downtime

▪ Lower maintenance

costs

▪ Optimized investment

planning

▪ Reduced maintenance

costs

▪ Increased uptime and

utilization

▪ Increased safety

▪ Increased employee

satisfaction

▪ Less time and money

lost

Roy Hill Projectuses digital boardroom techniques for its remote operations center, where valuable, real-time parameter data is delivered to the demand chain and supply chain teams, thus enabling the staff there to plan, schedule, and execute the entire mine operation.

Continental AG

created an innovative, remote vehicle-diagnostics and fleet-analytics application using the SAP Vehicle Insights application and SAP Leonardo technologies.

NLMK

has developed a 3D positioning system that tracks shop-floor employee location and asset and machine conditions. Workers carry a wearable sensor tag that tracks location, unusual behavior, immobility, and abrupt changes in body position (falls, for example). The worker can call for help with a button on the tag. A sensor can vibrate to alert all workers in a dangerous zone.

Mining companies use SAP Asset Intelligence Network to integrate equipment information and ensure data consistency and availability for workers maintaining assets. They use it to collaborate with suppliers, reducing design cycle time for new parts.

Extend

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SAP Leonardo: Intelligent Technologies and Innovation Transform

the Mining Value Chain and Business Models

Transforming the business starts with unconventional ideas and rethinking how to do things. It often goes along with a

renewed view on who is the ultimate customer and what kind of value they really need.

Intelligent supply chain for assets “Run a mine like a factory” Image recognition for spare parts

Lack of spare-part inventory and insufficient

planning of supply delays, leading to

increased production costs

Incomplete and siloed mine planning, leading

to suboptimal decisions, lack of real-time

visibility into operations, and poor adherence

to production plans, which results in missing

targets

Time-consuming and erroneous process for

ordering the right spare parts and finding the

correct number and contract, leading to delay

of part availability and increased downtime

The SAP Integrated Business Planning

solution can be used to apply traditional

sales and operations planning concepts to

enterprise asset management and extend

collaboration to suppliers.

SAP Integrated Business Planning combines

commercial data with mine operational

planning data to accelerate planning cycles

and optimize outcomes. SAP Cloud Platform

captures real-time operational data to support

agile responses in case of plan deviations.

SAP Cloud Platform and machine learning

can be used to recognize spare parts based

on images and to identify automatically the

correct number and contract.

▪ Improved supply chain collaboration

▪ Reduced working capital

▪ Improved spare part availability

▪ Lower costs from freight and warehouse

optimization

▪ Accelerated planning cycles

▪ Increased profitability

▪ Faster decision-making

▪ Reduced manual processes

▪ Reduced delays in procurement process

▪ Improved asset utilization

Transform

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SAP Leonardo: Transformational Scenario – Intelligent Supply Chain for Assets

In mining, timely material flow and asset uptime and reliability have tremendous impacts on profitability. The intelligent supply chain for assets is a new business

process that builds on the established use of sales and operations planning and applies it to the area of asset management by integrating the demand, maintenance,

and supply functions across the time horizons of planning, scheduling, and execution. This approach reflects the asset as a “customer” and efficiently delivers work

order requirements to the assets to ensure they remain in operation. This opens the door for aligned maintenance and production planning while reducing transportation

costs and improving availability of parts. This approach, combined with the concept of digital twins for assets, will optimize the entire lifecycle of asset maintenance.

▪ No collaboration for supply

planning and production

scheduling

▪ Static inventory planning, leading

to high inventory carrying costs

▪ Nonoptimized procurement,

leading to higher costs and

longer waits

▪ Manual tracking of parts, which is

slow and error prone

▪ Planning and scheduling adopted

as a supply discipline

▪ Reduced mean time to repair

and reduced mean time between

failure

▪ Reduced transportation costs

▪ Reduced spare parts inventory

and working capital

▪ The digital twin concept, which

supports extending collaboration

directly to suppliers for optimized

asset maintenance strategies

Start of maintenance planning

Transformed spare parts planning

Asset is the customer, plan the demand

Material requirements planning for parts based on static inventory levels

Additional ad hoc part requirements from maintenance orders

Many spreadsheets needed to track down material

Assets down while waiting for parts to arrive; additional parts stored in inventory

No single view of demand, planning not optimized, procurement not aligned with production

Traditional spare parts planning

Plan the demand Plan the supply chain

Leverage thedigital twin

Collaborate with suppliers

Benefit from optimized inventory and procurement

Start maintenance planning

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SAP Leonardo: Transformational Scenario – “Run a mine like a factory”

Thought-leading mining companies are taking a page from manufacturing to run their mines like a factory, using supply and production planning approaches and

predicting and planning levels of output in accordance with projected sales and other company goals and constraints. Mining companies can track actual inventory

levels, fleet location, and customer demand to make decisions based on real-time awareness.

▪ Siloed information between mine

planning and commercial

planning

▪ Spreadsheet-based planning and

reporting

▪ Lack of real-time visibility into

operations from the mine to the

boardroom

▪ Reactive operations based on

random events rather than a

planned approach

▪ Plan updates in hours rather than

weeks

▪ Make decisions based on

commercial numbers and

profitability rather than gut feeling

▪ Capture the actuals through

drones and fleet, and act quickly

when deviations occur

▪ Compare plans directly with

actuals

▪ Analyze data directly through

embedded analytics in real time

rather than in spreadsheets

Start mine

planning

Create

mine plan

Create mine

plan, export to

Microsoft Excel

Hand over plan

to continue in

Microsoft Excel

Compare plan

with actuals in

spreadsheets

Update plan

results in mine

planning systems

and replan

frequently

Struggle under long

planning cycles with

limited visibility into

actuals and manual

transfer of data to

spreadsheets

Transfer to sales and

operations planning

for commercial

planning and replan

immediate to decide

on optimal scenario

Capture actuals

from fleet and

drones and

compare directly

with the plan in

near-real time

Run the mine like a

factory by planning the

mine and mine the plan

“We believe it is possible to create a digital maintenance, repair, and operations supply chain with advanced planning and scheduling disciplines.

Coupled with integration with enterprise asset management, this leads to a supply system that provides the opportunity to secure optimal asset

availability in a manner which will be transformative to asset-intensive industries and also reflect Industry 4.0 principles.”4

Indrasen Naidoo, Director Supply Chain, Roy Hill

4. “The Transformative Role of Technology in the Mining Industry,” IDC Customer Connection, August 2017

Start mine

planning

Run a mine like a factory

Traditional mine planning and operations

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SAP Leonardo: Transformational Scenario – Image Recognition for Spare Parts

Ensuring the correct spare parts are available in time is crucial in mining. Manual identification of parts and contracts is time-consuming and error prone. Image

recognition can be used to simplify and add efficiency to many of the processes surrounding spare parts availability, including the purchase requisitioning process.

This results in reduced purchase requisition and purchase order lead time and in a reduction in spare parts inventory, which translates into a reduction of working

capital and increased labor efficiency.

▪ Manual identification of parts

and contracts

▪ Cumbersome determination of

correct number from catalogs

▪ High rejection rate and

adjustments of purchase

requisitions

▪ Improved user experience with a

picture starting and executing the

entire process

▪ Reduced delays in procurement

process and earlier availability of

parts

▪ Reduced ordering of incorrect

parts and return and storage

costs

▪ Automated process

Identify need

of spare parts

Upload the

picture and run

recognition

algorithm

Look up the

number in catalogs

Create requisition

and find the correct

contract numbers

Adjust the

requisition

Get rejection for

requisition due to

incorrect assignment

Struggle to manually

identify spare part

number from paper

and online catalogs

Let the part be

identified and

requisition created

automatically

Benefit from no rework

required on requisition,

as number and

contract are already

correctly assigned

“In four weeks we were able to design a user-centric solution to optimize our purchase, requisition, and maintenance process. The process helped

define the specific problem and map the right digital technologies to address it most effectively.”5

Helio Mosquim, IT Innovation Manager, Vale

5. “Why Vale and SKF Is Using SAP Leonardo for Digital Transformation,” Magzter, November 2017

Identify a need for

a spare part and

take a picture

Traditional spare parts requisitioning

Image recognition for spare parts

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SAP and Customers Jointly Enable the Transformation Journey

Innovations can do a lot to help the mining industry, such as improving on-site operations and decision-making. Design

thinking can optimize those improvements.

Metals and mining corporation Vale developed a completely new process in just four weeks. Inventory is about US$1.6 billion of

Vale’s $11 billion annual spend, so the company decided to automate purchasing processes to make them more intelligent.

Before automated purchasing, maintenance workers had to ask an ERP user to create a purchase requisition before

acquiring a new part for damaged equipment. This completely manual process often overlooked parts already available –

and users frequently searched through multiple screens before finding the missing information. These steps often resulted in

a lot of redundant work and wasted time. Between 25% and 40% of rejections of all purchase requisitions occurred because

the part was either available on contract or in inventory. Vale put its procurement team through an SAP Design Thinking

workshop to sort through the major challenges. They had a draft prototype in week one; by the following week, they had

feedback – and were making adjustments. The resulting solution used machine learning and other innovations to allow

maintenance technicians to quickly identify, find, or order spare parts that needed replacement, increasing the speed and

automation of the purchasing requisition process.

“We set up a plan to innovate in

four weeks . . . and that was an

amazing experience.”

Helio Mosquim, IT Innovation

Manager, Vale6

View this video

to read more about Vale’s

innovations.

Explore

Have the following all in

one room:

▪ Business

▪ Information technology

▪ End users

Discover

▪ Gain on-site analysis

▪ Listen to the end user

▪ Identify user challenges

Design and prototype

▪ Use the SAP Build tool

▪ Design apps

▪ Get end-user feedback

Deliver

▪ Develop a business

case to implement

▪ Deliver to end users

▪ Create business value

Bring in SAP Leonardo technologies using the SAP Design Thinking methodology

Transform

6. “Why 4 Weeks of Design Thinking Offer Better Digital Transformation,” Forbes, November 2017.

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How to Get Started with SAP Leonardo

Whether you’re still exploring new ideas or have defined one idea in detail already, SAP Leonardo brings together world-class innovators, industry and emerging

technology expertise, proven use cases, and design thinking methods to help you optimize your business and drive innovation and impact at scale – faster and with

less risk.

SAP takes a holistic approach to innovation. Because digital transformation isn’t just about installing the latest technology, we also address the readiness to receive

a new idea. From human capital to infrastructure, we bring best business practices across your organization to improve communication, plan for employee training,

review technical and regulatory feasibility, and consider other cross-functional needs to drive change and truly scale your innovation.

Design for the future

Use a guided process to

reimagine the future of your

business and uncover where a

blend of SAP Leonardo and

established technologies might

take you – from testing a new

business model to organization

transformation.

Bring your own idea

Bring a defined idea and we’ll

support rapid prototyping and

progression with a constant eye

toward how to scale it across

your business.

Explore in a workshop

Identify and prioritize your

business challenges, explore

how SAP Leonardo might help

to rapidly solve them, and define

a path for the way forward.Accelerate

Draw on our library of industry

innovation kits to address

common value propositions, and

let SAP guide you to a business

outcome in weeks, not months.

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SAP Is the Innovation Partner for Mining

Ten-year innovation vision

Deliver fully intelligent business

solutions and networks that span

across company boundaries and

promote purpose-driven businesses.

These solutions will be the most

empathic symbiosis between

machine intelligence and human

ingenuity.

Learn more

• SAP.com for mining

• SAP Leonardo

• SAP Digital Business

Services

• SAP Design Thinking

Comprehensive industry coverage

SAP enables the comprehensive

coverage of the complete mining

value chain – from pit to port. With its

clear industry road map, SAP is the

partner of choice for the mining

industry.

Proven services offering

By bringing together world-class

innovators, industry and emerging

technology expertise, proven use

cases, and design thinking methods,

we help mining companies develop

innovations that deliver impact at

scale.

▪ Self-running enterprise systems

▪ Self-organizing business ecosystems

▪ New markets and business models

▪ More than 777 mining companies

in 71 countries are innovating with

SAP solutions.

▪ SAP customers produce 70% of

the world’s gold.

▪ 23 of the top 25 steel-producing

companies in the world run

SAP solutions.

▪ Use proven methodologies to

drive innovation, from reimagining

customer experiences to

enhancing operations.

▪ Fuel your innovation through a

managed innovation ecosystem

from SAP.

▪ Build your own innovation

capability and culture.

SAP delivers support for becoming an intelligent enterprise in the mining industry – providing integrated business applications

that use intelligent technologies and can be extended on SAP Cloud Platform to deliver breakthrough business value.

Studio SAP | 61744enUS (18/12)

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