Data Governance in Mass upload

processes – Case KONE

Finnish Winshuttle User Group

6.11.2014, Helsinki

Just IT Mastering the Data

• Just IT is a Finnish company focusing on Data

Governance and Data Management.

• We focus on delivering the business benefits to our

customers by securing effective and high quality data.

• Just IT is a pioneer in extended data governance

governing your data both inside and outside the

enterprise boundaries.

• We do things differently – no more long & heavy

projects, but concrete results, fast in use for the

business.

Why do we need a Data Governance Model?

• Some research about data quality:

– “30% of all operational errors

are due to poor information quality” (Reuters)

– “83% of companies experienced

data issues during their most recent IT project” (David Rint: “The users view of why IT projects fail” Gartner Insights)

– “Customer data degrades at a rate of 24% per year” (Beth Eisenfeld, Research Director, Gartner)

• It is worth every cent to invest on Data Quality

and Data Governance

– ” Take 1% of top-line revenue, that’s the annual

benefit one gets from having a data governance

program” (IDG)

Data

People

Technology Process

DATA

• All of these four elements must work together

• Previously data was tied to a specific system or technology, today data is

spread throughout an enterprise – or outside in the “cloud”

• Data is now treated as a separate type of asset

• Accurate data can provide a strong competitive advantage

Data Is The Common Element

Corporate Goals & Strategies

Data Governance Data Management

• Roles / Responsibilities

• Policies

• Procedures

• Business Rules

• Data Usage Awareness

• Data Context Awareness

• Workflow

• Data Audits

• Measures / Metrics

• Reporting

• Data Maintenance

(create, update, delete)

• Data Quality

• Data Integration

• Data Lifecycle

(creation-archive)

“Why”

“Who,

What,

When,

Where

”

“How” Conventional

MDM

IT Strategy Data Strategy Business

Strategies

Data Governance and MDM

The importance of Data Governance in Mass

Maintenance / Winshuttle

• Winshuttle is a powerful tool to maintain

different types of data: “The fast, flexible

approach to optimize and automate your ERP

data operations”

• The tool itself has good capabilities to support

Data Governance model (e.g. authorizations,

roles, approving of scripts, …) – But the

organization, roles & responsibilities need to

be clear– to all participants.

• But when a large amount of data is

maintained – A solid, bulletproof Governance

Model is needed

PEOPLE, PROCESS, TECHNOLOGY, DATA

Start with the People

• Name the players:

– Business & IT Sponsors

– Data Owners

– Solution Owners

– Data Management Organization (DMO) Leader

– Data Stewards / Data Managers

– Data Custodians / Data Administrators

– Domain, Process or System Experts

– Data Architect(s)

– Business Intelligence Experts

Plan the Process

• Individual data maintenance vs

mass maintenace

– What are the differencies in the

process

– What additional steps are needed

(quality checks, approvals, etc.)

– How are the creations / changes

documented

– How are the processes

documented

– Workflows

– Communication!

Implement the Technology

• Winshuttle project

But that is naturally a subject for another

presentation

Select the Data

– Master Data • Employee

• Customer

• Material

• Partner / Supplier / Vendor

• Organizational

– Metadata • Metadata is information regarding the

characteristics of any object, such as its name, location, perceived importance, quality or value to the enterprise, and its relationships to other objects that an enterprise has deemed worth managing.

• Basically, it’s “data about data”

– Configuration

– Transactional Data • Usually fairly well governed by ERP systems.

But is that data validated against the master and/or meta data?

– Unstructured • How about all that data in Intranets? Or Social

Data like Facebook or Twitter? Or your website? Or other websites?

Key Elements of Data Governance

• The main focus of Data Governance should be to support the business – not the other way around

• People – Organization: Business, Data and IT representation

– Networking with business is a must - Communication is the crucial element

– Focus on roles and responsibilities

• Processes – To support the business

– Focus on simplified processes

– Interaction and integration

• Technology – Enabler – not the reason

– Productivity and Quality

• Data – Business rules

– Correct and complete data – all the time

– Continuous monitoring and development

An example of Data Governance – Case KONE All mass upload are Governed by KONE MDM Team

• In 2013, KONE had annual net sales of EUR 6.9 billion at the end of the year over 43,000 employees.

• Winshuttle has been in production use since fall 2013 Now 46 active users in MDM & Shared Services teams

• As a total, more than 400 people are in Data Management Network – managed by KONE MDM Team

• Roles in KONE

– Head of MDM (Responsible for the process)

– Developers (for each Business Process)

– Runners (by Geography & Domain)

– Solution Owner (Winshuttle & Central)

– Platform Owner (Technology)

• Two main processes

– Daily process

– Special Cases • Used in projects, aquisitions or exeptionally large amounts of

data

• Requires special resourcing, scheduling and controls

An example of Data Governance – Case KONE Roles, Responsibilities & Processes are defined, documented and communicated

• Kone France made a new service contract with a very big customer in November 2013

• Needed to be in SAP and operational by the beginning of 2014

– Over 2900 equipment

– Over 500 locations and service contracts

– With a large scope of pricing, maintenance data etc.

• Business realized that data can’t be created manually and one by one needed mass upload

• First Special case meeting in mid November 2013

• With Winshuttle and planned Governance Model + Excellent team, all data in SAP by the beginning of 2014

– Most of the time was spent on data quality & duplicate management

• A big succes for the new process and tools for Mass Maintenance in KONE

An example of Data Governance – Case KONE Practical example – KONE France quick needs at the end of 2013

THANK YOU QUESTIONS AND DISCUSSION