data governance in mass upload processes case …...an example of data governance – case kone all...
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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