kmd payroll & hr forum€¦ · kmd and kronos are strategic partners in the nordics. 5. kmd...
TRANSCRIPT
KMD PAYROLL & HR FORUM
Tuesday 5th of March 2019
09.00 - 09.10
Welcome and introduction of agenda
09.00 - 09.10 HR & Payroll Forum 2019 Kick-off09.10 - 10.10 Hvor er KMD på vej hen teknologisk?
10.10 - 10.25 Pause og Networking
10.25 - 10.45 Strategi og Roadmap KMD Payroll Cloud10.45 - 11.10 Ny hverdag på lønkontoret med KMD Payroll Cloud11.10 - 11.40 Implementering af KMD Payroll Cloud11.40 – 12.00 Optimer din lønproces og arbejdsgange med gode tips
12.00 – 12.50 Frokost
12.50 - 13.20 Erfaringer med KMD Refusion13.20 - 14.00 Sidste nyt om Ny Ferielov
14.00 - 14.25 Pause og Networking
14.25 - 14.50 Erfaringer med håndtering af persondata (GDPR)14.50 - 15.00 Afslutning på dagen og opfølgning15.00 - 15.30 Udstillerne har åbent
DAGENS PROGRAM
KMD PAYROLL & HR FORUM || A DAY OF INSPIRATION FOR NET PAY & KMD
PAYROLL CLOUD CUSTOMERS
KMD Payroll Net Pay KMD Payroll Cloud
4.500 employees
1.500 employees
Anonymous client
3.500 employees
150 employees
500 (1.300)
_ Internal - KMD A/S
KMD ACQUIRED BY NEC CORPORATION
▪ More than 100.000 colleagues
▪ Global presence – Revenue of DKK 170 billions
▪ Access to new technology
_ Internal - KMD A/S
KMD AND KRONOS ARE STRATEGIC PARTNERS IN THE NORDICS
5
KMD Nordic partner to Kronos providing:
• Licenses
• Implementation
• Service & support
• Strategic advisory services
Please reach out if you want to know more.
_ Internal - KMD A/S
KMD AS YOUR SERVICE/SUPPORT PARTNER
6
_ KMD as your partner for HR and Payroll
_ Collaboration for technical and functional issues
_ Danish speaking supporters
_ KMD knows Netpay and
product roadmap
_ Strategic Advisory Services
_ Internal - KMD A/S
7
Help us becomebetter
Fill out the survey
Join the booths for specific advisory
Extra rooms for e-mail or work duringthe day
Toilet locations and smoking
PRACTICAL INFORMATIONS
KMD PAYROLL & HR FORUM
Tuesday 5th of March 2019
9.10-10.10
Technologies @ KMD
Hans Jayatissa, CTO KMD
_ Internal - KMD A/S
TECHNOLOGY INNOVATION
OFFICE OF TECHNOLOGY
9
External Internal
Three Focus Areas
Ensure KMD externally has a technology point of view and is regarded as a trusted advisor on new technologies
Purpose
1
Ensure we “walk-the-talk”, are innovative, and take benefit of new technologies in our products and tenders
2
Enable and nurture our technology culture, training and curiosity3
TECHNOLOGY EVANGELISM
TECHNOLOGY CULTURE
_ Internal - KMD A/S
THE TECHNOLOGY RADAR
THE KMD ROADMAP
10
Technologies/trends that we track but yet not pursue
HOLD ASSESS TRIAL ADOPT
Promising technologies/ trends whose potential we want to assess
Technologies/trends that we currently pilot/ incubate/PoC (preferably) with a client
Technologies/trends that are adopted in KMD
HOLD
ASSESS
TRIAL
ADOPT
Software Robots (RPA)
Cloud Native Platform
Blockchain
Machine Learning
Virtual Assistants
Smart Workspace
API ManagementSoftware-DefinedSecurity
Internet of Things
Platform
Augmented Reality
Connected Home
Virtual Reality
Human Augmentation
Quantum Computers
Autonomous Vehicles
Digital Twin
Edge Computing
Natural Language Processing (NLP)
Biometrics
_ Internal - KMD A/S
Democratized AI▪ Autonomous driving▪ Conversational AI▪ Virtual Assistants...
Digitalized Ecosystems▪ Blockchain▪ Digital twin▪ IoT Platform...
Do-It-Yourself Biohacking▪ Biochips▪ Brain-computer interface▪ Augmented reality...
Transparently Immersive Experiences▪ 4D printing▪ Connected home▪ Smart workspace...
Ubiquitous Infrastructure▪ 5G▪ Neuromorphic hardware▪ Quantum computing...
TRENDS || GARTNER HYPECYCLE FOR EMERGING TECHNOLOGIES 2018
11
5 MAIN TRENDS
Copyright Gartner: https://www.gartner.com/smarterwithgartner/5-trends-emerge-in-gartner-hype-cycle-for-emerging-technologies-2018/
Augmented Reality 2008
_ Internal - KMD A/S
KMD ANALYSE || NEW DIGITAL TECHNOLOGY IN THE DANISH MUNICIPALITIES
_ The results are based on a questionnaire survey among top managers in the Danish municipalities
_ 70 decision makers from 54 municipalities responded to the survey asking about 13 selected technologies.
_ The investigated technologies range from well-known and already relatively widely implemented technologies to to technologies that are thought to be far into the future.
_ The Survey was performed online by Userneeds and published in August 2018
The technologies selected:
o Big Data
o Softwarerobots
o Cloud-solutions
o Drones
o Internet-of-things
o Wellfare robots
o Machine learning
o Virtual assistants and chatbots
o Autonomous cars and busses
o Augmented reality
o Blockchain
o Human augmentation
o Digital twin.
12
_ Internal - KMD A/S
KMD ANALYSE || KNOWLEDGE OF NEW TECHNOLOGIES
13
_ Internal - KMD A/S
KMD ANALYSE || IMPLEMENTATION OF NEW TECHNOLOGY
14
_ Internal - KMD A/S
15
BEING PART OF
NEC
• Established 1899
• Net Sales 26,83 B USD
• 111.200 Employees
_ Internal - KMD A/S
TECHNOLOGY-BASED SOCIAL INNOVATOR
16
_ Internal - KMD A/S
INTERNTKMD A/S
RESEARCH|| ACCESS TO A POOL OF RESEARCH LABS
17
▪ 9 Research Laboratories around the world
▪ 1 in Europe in Heidelberg focused on Smart City and the technologies behind ie.
▪ Smart Industry Solutions
▪ Internet of Things Platform
▪ Safety Solutions
▪ Public Transport Solutions
▪ Security/Privacy/Trust Platform
▪ 5G Networks
▪ Network Data Analytics
▪ Software Defined Networking(SDN)
▪ Industry SDN Solutions
▪ Communication Standards
Japan
Worldwide
_ Internal - KMD A/S
THE TECHNOLOGY RADAR
THE KMD ROADMAP
18
Technologies/trends that we track but yet not pursue
HOLD ASSESS TRIAL ADOPT
Promising technologies/ trends whose potential we want to assess
Technologies/trends that we currently pilot/ incubate/PoC (preferably) with a client
Technologies/trends that are adopted in KMD
HOLD
ASSESS
TRIAL
ADOPT
Software Robots (RPA)
Cloud Native Platform
Blockchain
Machine Learning
Virtual Assistants
Smart Workspace
API ManagementSoftware-DefinedSecurity
Internet of Things
Platform
Augmented Reality
Connected Home
Virtual Reality
Human Augmentation
Quantum Computers
Autonomous Vehicles
Digital Twin
Edge Computing
Natural Language Processing (NLP)
Biometrics
_ Internal - KMD A/S
THE TECHNOLOGY RADAR
THE KMD ROADMAP
19
Technologies/trends that we track but yet not pursue
HOLD ASSESS TRIAL ADOPT
Promising technologies/ trends whose potential we want to assess
Technologies/trends that we currently pilot/ incubate/PoC (preferably) with a client
Technologies/trends that are adopted in KMD
HOLD
ASSESS
TRIAL
ADOPT Cloud Native Platform
Blockchain
Smart Workspace
API ManagementSoftware-DefinedSecurity
Internet of Things
Platform
Augmented Reality
Connected Home
Virtual Reality
Human Augmentation
Quantum Computers
Autonomous Vehicles
Digital Twin
Edge Computing
Natural Language Processing (NLP)
Software Robots (RPA)
Machine Learning
Virtual Assistants
Biometrics
MACHINE LEARNINGTECH
20
Focus on
_ Internal - KMD A/S
Business Intelligence
Reporting (What)•Sum, Mean/Median
•Sales of Product X is Y
Analysis (Why)•Correlation
• Increase in sales because of ….
POSITIONING OF ANALYTICS
Setting the Scene
21
Separate solutions
Excel like DWH, EDW
DWH: Data Warehouse, EDW: Enterprise DataWarehouse
Bu
sin
ess V
alu
e
Difficulty
One set of numbers
Data
_ Internal - KMD A/S
Business Intelligence
Reporting (What)•Sum, Mean/Median
•Sales of Product X is Y
Analysis (Why)•Correlation
• Increase in sales because of ….
Predictive (When)•Regression
•Machine Learning
•Eg. Churn
Prescriptive (How)•ML+…
•Scenarios: X will happen when we do Y,Z
POSITIONING OF ANALYTICS
Setting the Scene – Where are you?
22
Separate solutions
Excel like DWH, EDW DWH, EDW, DATALAKE (IOT, BIG DATA), Unstructured
ML: Machine Learning, DWH: Data Warehouse, EDW: Enterprise DataWarehouse, IOT: Internet Of Things
Advanced AnalyticsB
usin
ess V
alu
e
Difficulty
One set of numbers One set of numbers but Multiple Views (Scenarios)
Data
?
_ Internal - KMD A/S
INTERNTKMD A/S
MACHINE LEARNING "TOOLS"
23
_ Internal - KMD A/S
ASSISTED LEARNING - REGRESSION
24
𝑦𝑖 = 𝑓 𝑥𝑖 + ϵ𝑖
_ Internal - KMD A/S
ASSISTED LEARNING - DEEP LEARNING
25
ANALYTICS AND MACHINE LEARNING CREATES INSIGHT AND ENABLES
PROACTIVITY
Analytics, Machine Learning
Advanced analytics on large sets of data enabling predictive and prescriptive analysis
▪ EcoKnow (Research project with ITU, KU, DTU, KK, Syddjurs) Increase flexibility and efficiency in helping unemployed into the best possible jobs - by use of data mining and machine learning
▪ Monitor and prevent school absence Create overview and in-/validate hypoteses on childrens school absence and their families using school, wellfare and employment data
▪ Early identification of youngsters in distress Classic static analysis to track explanatory variables using citizen, school, wellfare and employment data
examples
Spend Analysis
• Inspects spend data (invoices) and financial data
• Establishes confidence in managerial controls and auditing
• Focus on identifying qualified samples for manual inspection
• Opportunity for fraud detection
_ Internal - KMD A/S
27
NEC THE WISE - AI TECHNOLOGIES FROM NEC
_ Internal - KMD A/S
28
SOLUTION PATTERNS
_ Internal - KMD A/S
29
RETAIL || CONSUMER DEMAND FORECASTING
_ Internal - KMD A/S
30
HEALTH || PREDICTION MEDICAL
VIRTUAL ASSISTANTSTECH
31
Focus on
VIRTUAL ASSISTANTS BECOME THE NEXT USERINTERFACE
Virtual Assistants
A technology that combines speech recognition, natural language processing and artificial intelligence to respond to spoken requests
▪ Roberta automated receptionist
▪ EHS Health- and Safety reporting using voice
examples
Robin the Chatbot
• A chatbot as user interface for citizens having multiple interactions with the municipality and being infrequent IT users
SOFTWARE ROBOTSTECH
33
Focus on
ROBOTS HANDLES SIMPLE CASES FAST AND CONSISTENT
Software Robots
(RPA = Robotics Process Automation)
Technology that enables remote control of existing applications e.g. to handle transactions, manipulate data, perform actions and communicate with other systems
▪ Different instances of processing large volumes of identical changes for more than 30 different clients
▪ Data conversion when migrating systems
▪ Establishing fast temporary solutions
examples
Document generation
BIOMETRICSTECH
35
Focus on
_ Internal - KMD A/S
36
BIOMETRICS AUTHENTICATION TECHNOLOGIES
_ Internal - KMD A/S
▪ The built-in face recognition engine performs identification from one-to-many matching for staff attendance operations.
ACCESS AND ATTENDANCE SYSTEM
37
_ Internal - KMD A/S
THE TECHNOLOGY RADAR
THE KMD ROADMAP
38
Technologies/trends that we track but yet not pursue
HOLD ASSESS TRIAL ADOPT
Promising technologies/ trends whose potential we want to assess
Technologies/trends that we currently pilot/ incubate/PoC (preferably) with a client
Technologies/trends that are adopted in KMD
HOLD
ASSESS
TRIAL
ADOPT
Software Robots (RPA)
Cloud Native Platform
Blockchain
Machine Learning
Virtual Assistants
Smart Workspace
API ManagementSoftware-DefinedSecurity
Internet of Things
Platform
Augmented Reality
Connected Home
Virtual Reality
Human Augmentation
Quantum Computers
Autonomous Vehicles
Digital Twin
Edge Computing
Natural Language Processing (NLP)
Biometrics
_ Internal - KMD A/S
_ Internal - KMD A/S
KMD STEAM | A ONE-DAY TECH CONFERENCE
▪ A tech conference designed for technology leaders, architects, developers, team leads and domain experts.
▪ 30 sessions with live-demo, deep dives into the latest technologies and insights from some of the leading tech companies that will inspire and share their knowledge.
▪ 3 exciting keynotes
▪ A Tech Expo Playground
▪ 1.500 participants
▪ Improve your awareness about new technologies
▪ Understand the impact of tech trends
▪ Increase your curiosity and try out new technologies
Be a Tech Front Runner!
_ Internal - KMD A/S
Lokomotivværkstedet, CopenhagenApril 10th 2019 at 9.30-17.30
Tickets still available
Ticket price 2500 DKK ex. VAT
www.kmd.dk/STEAMtickets
DO YOU WANT TO KNOW MORE?
Hans [email protected]
43
BREAK 10.10-10.25
KMD PAYROLL & HR FORUM
Tuesday 5th of March 2019
10.25-10.45
Strategy and Roadmap for KMD Net Payroll and KMD Payroll Cloud
_ Internal - KMD A/S
45
STRATEGY
▪ KMD Payroll Cloud for SAP and non-SAP customers
▪ Continous improvements of KMD Net Pay and KMD Reimbursement
▪ More countries in KMD Payroll Cloud
▪ Increase payroll features in SAP SuccessFactors like reports, payroll data display and simulations
▪ More services for SAP SuccessFactors like KMD Release Management
▪ Kronos + SAP SuccessFactors + KMD Payroll Cloud
46
STRATEGY FOR SAP PAYROLL
Payroll Cloud
20202019 2021 20232022 2024 2025
Net Payroll
KMD Payroll Cloud moved to S/4 2023-2025
KMD Net Payroll
KMD Payroll Cloud
SELECTED CUSTOMERS DENMARK
KMD Payroll Net Pay KMD Payroll Cloud
4.500 employees
1.500 employees
Anonymous client
3.500 employees
150 employees
500 (1.300)
48
THE CLOUD TRANSITION
SAP HCM
▪ SAP HCM used for years
▪ includes global and local Payroll
▪ includes global and local Time Management
Cloud HCM
▪ Master data
▪ Talent Management
▪ Limited country versions for Payroll
▪ Limited functionality for Time Management
Cloud Payroll
▪ Payroll engine for Denmark
▪ Payroll Control Center
▪ Reimbursement
▪ Pre-built interface for SAP SuccessFactors, SAP HCM and other HR solutions
Cloud Time
▪ Global options (100+)
▪ 40+ years on market
▪ Pre-built interface for SAP SuccessFactors
▪ Time Registration
▪ Shift Planning
Before Now
1 Vendor 1 License1 Login
Open for partner solutions
1.200.000 employees a year
30.000+ customers
SAP Certified since 2009SAP Certified since 2004SAP company since 2012
_ Internal - KMD A/S
49
KRONOS WORKFORCE DIMENSIONS RECOMMENDED BY SAP
- ANNOUNCED JANUARY 8TH 2019
SAP Time Management by Kronos:
Manage the total workforce with insightand flexibility
Source: SAP SE and Kronos
50
KRONOS IS NOW SAP’S GO-TO-MARKET TIME SOLUTION
Existing customers on Workforce Software willstill be supported by SAP until end of contract
Source: SAP SE
51
END OF SUPPORT FOR SAP HCM CLIENTS
SAP HCM OnPremise
▪ End of support for SAP HCM in 2025
▪ New option announced 9th of January 2018 for a S4/HANA migration option in 2023. Support until 2030
Transition to the cloud
▪ Plan your roadmap
▪ Benefit from the cloud with updated processes and options
▪ Execute the transition in steps in a controlled pace
52
WHAT ARE MY OPTIONS?
Source: SAP SE
53
SAP QUALIFIED PARTNER PACKAGED SOLUTION
KMD EC & PAYROLL CLOUD
Performance and Goals
Employee Central
Recruitment & Onboarding
Learning
Reporting and Analytics
CompensationManagement
CareerDevelopment and
Succession Management
Action-based Self-service
Mobile
54
SOLUTION PACKAGE CONTENT
DELIVERED IN 16 WEEKS FOR 500 EMPLOYEES
Package is delivered with:▪ English version of SAP SuccessFactors Employee Central and KMD Payroll Cloud▪ HR processes for Hire, Termination, Change of Position and general updates for HR
and salary data▪ 20 checks of master data and payroll result in Payroll Control Center▪ KMD Plugin for payroll relevant master data like Tax, Pension and more in SAP
SuccessFactors▪ Pay slip and wage type catalogues to fit DI Union Agreement▪ KMD Release Management service
Customer options for adjustment included in pricing:▪ Company structure▪ Theming (colors and logo)▪ Home Page tiles
Expectations from customer:▪ Deliver company structure to be implemented▪ Deliver logo and coloring descriptions▪ Be active in test phase of payroll▪ Take part in Steering Committee Group
Typical customer add-ons:▪ More Union Agreements or
local agreements for Payroll▪ KMD Reimbursement Solution▪ Workshops to customize HR
processes▪ Danish version package▪ Training sessions
_ Internal - KMD A/S
55
ROADMAP
▪ Transition for KMD Net Payroll to KMD Payroll Cloud
▪ Danish template for Kronos Workforce Dimensions
▪ More automated payroll processes
▪ Payroll Control Center for DK, NO and SE
▪ Control Center for Reimbursement
▪ More SAP Qualified Partner Package Solutions
▪ Standardised Integration hub for KMD Payroll Cloud
▪ Integration hub for most popular Time solutions
▪ Predefined Analytics dashboards for payroll
▪ New Vacation Law for Denmark 2019 + 2020
56
NEW VACATION LAW
REIMBURSEMENT FOR SPECIALISTS
PAYROLL MANAGERS
2 new ERFA groups established
ERFA
57
KMD PAYROLL & HR FORUM
Tuesday 5th of March 2019
10.45-11.10
The new process and routines using KMD Payroll Cloud
60
KMD PAYROLL CLOUD – FAST, SECURE, COST EFFECTIVE TO THE CLOUD
▪ KMD Payroll Cloud for DK, NO and SE
▪ KMD Reimbursement for DK and NO
▪ Payroll Control Center
▪ Open Integration Engine
▪ Template, work book, guides
▪ Implementation
▪ Operations handled by KMD
▪ Maintenance and support
What is in the package:
THE NEW LANDSCAPE
HR/lønNorway
Sweden
Denmark
Manual: Legal reporting
SuccessFactors EC
Finance
Time Solutions
Payroll runs
Payroll data
Payroll Control Center
Payslips
Customer
KMD
EmployeeManager
KMDPayroll engine for DK+NO+SE
HR Master Data
Time registrations
Payroll runs
Reimbursement
Payroll Control Center
Payroll data
Payslips
Accounting
3rd Parties
PROCESS OVERVIEW FOR KMD PAYROLL CLOUD
Before Now
HCM Processes
Payroll Processes
HCM Processes
Payroll Processes Payroll Control Center
PROCESS OVERVIEW FOR KMD PAYROLL CLOUD
Payroll Control Center
HCM Processes
▪Hire▪Change of Position▪Salary updates▪Master data updates▪Leave of Absence▪Termination▪Optional:
▪ KPC Master data updates▪ Payroll activation
Corrections/updates
▪Variable pay elements▪Onetime payments▪Others
Payroll Controll Center
▪Test payroll runs▪Productive payroll▪Check and controls▪Alerts▪Team▪Log
Payroll Processes
▪Variable pay elements▪Special payroll tasks▪Payroll simulation runs▪Reimbursement▪Import of files/LSMW▪Optional:
▪ KPC Master data updates▪ Payroll activation▪ Payroll inactivation
Reports
▪Reimbursement overviews▪Wage type reporting▪Legal reporting
USER INTERFACE FOR HR & PAYROLL
1. Hire in SAP SuccessFactors
2. Automated transfer to KMD Payroll Cloud
3. Add payroll informations in SAP SuccessFactors –or in KMD Payroll Cloud
WEBSERVICE – CLOSE TO REALTIME
USER INTERFACE FOR HR & PAYROLL
1. Hire in SAP SuccessFactors
2. Automated transfer to KMD Payroll Cloud
3. Add payroll informations in SAP SuccessFactors – or in KMD Payroll Cloud
_ Internal - KMD A/S
67
PAYROLL CONTROL CENTER - SIMPLIFY AND OPTIMIZE THE PROCESS
Enter payroll
data
Test payroll runs
Checkpayroll
Enter payroll data
Run payroll Check payroll Transfer funds AccountingCheck
accounting
Current flow
Payroll Control Center flow
Automatically check master data
Automatically check payroll results
_ Internal - KMD A/S
PAYROLL CONTROL CENTER UNIFIES CROSS-COUNTRY PAYROLL
68
NorwaySweden Denmark
_ Internal - KMD A/S
DUTIES CONCERNING PAYROLL, DENMARK
69
Client
▪ Enter payroll data
▪ Execute payroll run in Payroll Control Center
▪ Check results
▪ Transfer file for DA/DS
KMD
▪ Requisition and import of tax cards
▪ File for eIndkomst
▪ File for accounting/finance
▪ File for payments to Nets and others like
Pension, ATP and more
▪ Salary slips in e-Boks
▪ Operations
▪ Maintenance and support
▪ Legislation and agreements
_ Internal - KMD A/S
KMD PAYROLL CLOUD DENMARK
INTEGRATIONS FOR LEGAL 3RD PARTIES
FERIEPENGE.DK
Enter payroll data
Run payroll Check payroll Transfer funds AccountingCheck
accounting
Payroll run process
_ Internal - KMD A/S
COMPONENTS IN KMD NET PAYROLL
Customer SAP• Master data• Time • KMD Infotypes
• Pension (0726)• Holidays (0727)• Suppl. Statistic (0728)• ATP (0740)• Tax DK (0765)• DS stats. (0766)
• Reporting• 15 Payroll• 7 Reimbursement
• Integration by SAP PI/PO
PCC• 20 controls• Test payroll• Ordinary payroll
3. party systems• eIndkomst• eSkattekort• eBoks• Nets• Pension• ATP• NemRefusion• DA/FA DS statistics
(manual sending)• Vacation
- eFeriekort- Feriepenge.dk- Feriekonto
Reimbursement• Illness• Maternity leave• Special leave
• § 56• Flexjobs
• Events and payments
_ Internal - KMD A/S
COMPONENTS IN KMD PAYROLL CLOUD
Customer SAP• Master data• Time • KMD Infotypes
• Pension (0726)• Holidays (0727)• Suppl. Statistic (0728)• ATP (0740)• Tax DK (0765)• DS stats. (0766)
• Reporting• 15 Payroll• 7 Reimbursement
• Integration by SAP PI/PO or SAP Cloud Platform
PCC• 20 controls• Test payroll• Ordinary payroll
3. party systems• eIndkomst• eSkattekort• eBoks• Nets• Pension• ATP• NemRefusion• DA/FA DS statistics
(manual sending)• Vacation
- eFeriekort- Feriepenge.dk- Feriekonto
Reimbursement• Illness• Maternity leave• Special leave
• § 56• Flexjobs
• Events and payments
Payroll Cloud• DI collective agreements• 130 input wage types and
around 3.000 tech. wage types
• Vacation handling & Pension• Ordinary payroll incl. retro• Off-cycle incl. retro• Security and logs• Mapping for SAP HCM and
SAP SuccessFactors
Cloud Connector
Reporting• 15 Payroll• 7 Reimbursement
• NemRefusionKMD Plugin
After payroll processing
▪ Standard solution with customer-specific configurations on top
▪ KMD secures Danish legislation
▪ 3rd party integrations for legal parties like E-boks, eSkattekort, eIndkomst and more
▪ Payroll Control Center (add on module)
▪ KMD Reimbursement (add on module)
▪ Error handling by KMD
▪ Built in corporation with SAP and certified by SAP
▪ One-off payment for implementation
Similarities
▪ License fee + running cost for maintenance and support
▪ Customer to maintain the solution
▪ Customer to handle the full payroll process
▪ Only for SAP HCM
▪ All developments are customer-specific
Special for KMD Payroll Net Pay
▪ Pay-per-Payslip OPEX cost model(SAP license included)
▪ KMD to maintain the solution, including collective agreements (DI agreements)
▪ KMD to handle post payroll processes
▪ Open for SAP HCM, SAP SuccessFactors or other HRIS
▪ Support function and SLA
▪ Developments send for all customers
▪ Includes KMD Reimbursement, Payroll Control Center, KMD plugin for SAP SuccessFactorts & integrations
Special for KMD Payroll Cloud
+
+
PROCESS OVERVIEW FOR KMD PAYROLL CLOUD
Payroll Control Center
HCM Processes
▪Hire▪Change of Position▪Salary updates▪Master data updates▪Leave of Absence▪Termination▪Optional:
▪ KPC Master data updates▪ Payroll activation
Corrections/updates
▪Variable pay elements▪Onetime payments▪Others
Payroll Controll Center
▪Test payroll runs▪Productive payroll▪Check and controls▪Alerts▪Team▪Audit log
Payroll Processes
▪Variable pay elements▪Special payroll tasks▪Payroll simulation runs▪Reimbursement▪Import of files/LSMW▪Optional:
▪ KPC Master data updates▪ Payroll activation▪ Payroll inactivation
Reports
▪Reimbursement overviews▪Wage type reporting▪Legal reporting
KMD PAYROLL & HR FORUM
Tuesday 5th of March 2019
11.10-11.40
Implementing KMD Payroll Cloud
77
PAYROLL PROJECT
A project can be defined as a temporary endeavor undertaken to create a unique product or service
_ Scope _ Quality
Time line
_ Organization
_ Legal
_ Interfaces/Infrastructure
_ Other projects
SCOPE
Scope is based on customer requirements / interfaces
Solution Validation verifies scope and KMD Payroll Cloud template
Test is quality assurance before go live.
Implementation process is based on standard templates
Initial assessment and interface scope
Solution Validation
Customer enablement
Test
Go live
Requirements / backlog
_ Internal - KMD A/S
79
IMPLEMENTATION TIME LINE - SAMPLE
Time
Key milestones
High-level plan
Explore – Fit to standardPrepare
Realize - Incremental build and test
Deploy
Project kickoffVPN
Sign off Solution
Go live
Integration
Start
Solution validation& configuration
Parallel testEducationMigra-tion
Prepare
Hyper care
Sign off UAT / Parallel test
KMD Client
Run
Month 1 Month 2 Month 3 Month 4 Month 5
WS WS WS
IntegrationPayroll Copy
1. Payroll Run
UAT
_ Internal - KMD A/S
80
INTERFACE VALIDATION SUCCESSFACTORS SAMPLE
Cloud HCM
▪ Master data
▪ Time on/off
▪ KMD Payroll Control Center
▪ KMD mash-ups
Cloud Payroll
▪ Payroll engine for Denmark
▪ Payroll Control Center
▪ Reimbursement
Integration
▪ SAP standard integration
▪ Predefined mappings
▪ Close to real time data and ad hoc
▪ Pre-built interface for SAP SuccessFactors, SAP HCM and other HR solutions
Middleware
KMD Mash up
_ Internal - KMD A/S
81
SOLUTION VALIDATION PROCES
Customer<>KMD
Virksomheds-struktur
Personale-struktur
Payroll strukturer
Afregnings-kredse
Tarif-
struktur
Lønarter
Lønseddel
InfotyperPayroll control
centerMigration Rapporter
Org.struktur
Work book KPC template
Around 160 scope items in KMD Payroll Cloud template
Demo and work book walkthrough
Proces
Update backlog
Configuration
3-4 weeks iterations
1 weekly follow up on progress
Start with demo
QUALITY - TEST
83
DATAMIGRATION AND PARALLEL-TEST
_ Migration cook book is a set of 200 predefined steps that KMD have used in multiple payroll implementations.
_ The cook book is assessed and adjusted customer case and is the dress rehearsal before the productive migration.
84
PARALLEL-TEST SAMPLE
_ Sample of customer and KMD wagetype test.
_ Test LGART are KMD wagetypes and test values (after payroll run)
_ Control LGART are customer wage types based on a payroll run.
_ Deviations are assessed and explained through reason codes by KMD and customer.
_ KMD test tool have implemented over 300 rules
Test result
_ Internal - KMD A/S
UAT – USER ACCEPTANCE TEST
85
Customer requirements
KMD Payroll Cloud proces
Input
Test cases
Output
Test plan
Test status/defect handling
UAT Test reportThe user acceptance scope is defined by the requirements and KMD Payroll process.
Number of test cases and detailing provides the user acceptance foundation.
Test cases can have multiple runs.
Proces
UAT test report with test conclusions and recommendation.
86
ORGANIZATION CUSTOMER ROLES
87
ORGANIZATION KMD ROLES
_ Internal - KMD A/S
88
IMPACT LESSONS FROM CUSTOMER PROJECTS
Application/Infrastructure• Customer operations and application setup (known errors, problems)• Complexity in customer as is setup (number of interfaces, loose/tight couplings)
Payroll• Master data quality (clean up needed)• Customer master data governance (ownership)• Well defined as is payroll process
Project• Customer requirements and criteria for success• Project experience and SAP knowledge• Test management and test strategy (test cases and valid test data)• Key resources (HR, Finance and tech) are available and motivated
DO YOU WANT TO KNOW MORE?
Jakob [email protected]
KMD PAYROLL & HR FORUM
Tuesday 5th of March 2019
11.40-12.00
Tips & Tricks - optimize the payroll process
91
TIP 1
CUSTOM TILE WITH DATE RANGE
▪ Create a new tile on the SAP SuccessFactors Homepage
▪ Link to time solution in eachspecific tile
▪ Date range for automaticdisplay and hide
92
TIP 2
SAP SCREEN PERSONAS
▪ Configure screens
▪ Easy navigation
93
TIP 3
AUDIT LOG IN PAYROLL CONTROL CENTER
▪ List process steps
▪ List alerts
▪ Use the search option for easyreporting, e.g. employeenumber
▪ Use the filter options for better overview
94
TIP 4
WAGE TYPE REPORTS
▪ Wage type reportPC00_MDK_CWTR
▪ Horizontal wage type reportPC00_MDK_HWTR
▪ CRT wage type reportingPC00_MDK_CRTWTR
95
TIP 5
WAGE TYPE REPORT RPDLGA20 NOW IN ALV-LAYOUT
▪ With SAP Note 2593315 the report is now in ALV-layout
▪ Sort, filter and other options available
▪ Before there was limitedoptions for layout
96
TIP 6
TABLE V_T510 NOW WITH NEW MAINTENANCE VIEW
▪ With SAP Note 2601987 the table can now be maintainedfor more country groupings, pay scale types and pay scaleareas.
▪ Before there was limitedoptions for advancedmaintenance
V_T510
V_T510_M
98
LUNCH 12.00-12.5O