removing excel from data consolidation processes (m&a example)
TRANSCRIPT
Eliminating Excel from any Data Consolidation Process(Example: Mergers)
Introduction: Merging two Running Organizations
Many Sophisticated Tools and Providers on the Market - yet Excel is Key to the Process?
Analyze current operations and structuresBreak-down and mapping of organizational data (TOM)e.g. Projects, Cost Centers, Resources, Assets, Services…
Planning
Harmonize and transfer data into target systems (e.g. PMO, SAP) Continuously analyze current operations and progress
Executing
Ensure data has been matched correctly for ongoing operationsValidate targeted savings and achieved synergies
Validating
The Merger & Acquisition Cost-Saving-Challenge
Org A
Org BOrg AB
Failed Savings
Common Outcome
Org A
Org BOrg AB
Savings
Typical Plan Failed Savings Analysis
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Failed Savings must be Compensated by generic Cost Saving ProgramsDepartments Performing well on Cost Savings during Merger get “Punished”
Xeraphic addressing General Issues of Data Consolidation
Consolidate (Integrated – Big Data)• Always Outdated: The moment data is moved to excel it becomes outdates • High Effort / Costs: Every update needs to be rebuild in Excel due to changing foundation data
Visibility (Business - BI)• Lack of Accountability: Managers get confused about commitments and changing goals• Unreliable Data: Root-causes of errors is nearly impossible to find due to multiple manual involvement• Wasted Time: All data manipulation and scenarios are being rebuild to gain an updated insight
Control (Planning – Apps & Workflows)• Decision risk: Delays in answering ad-hoc questions and understanding scenarios • Limited insight: Only allows for reactive measures with no ability for correction
Traditional Excel Approach during MergersContinuous Process during Merger that Starts from Scratch after Completion
Pull Live Data of Org A and Org B into ExcelThe moment data is moved to excel it becomes outdates (always outdated)
BeforeLive Data 3 Weeks
Gathering Processing Interpretation
1 Month
Org A - Data
Org B - Data
Org A - Data Org B - DataAutomated Data Gathering and Processing
Add Custom Attributes to create Common FormatEvery update needs to be rebuild due to conflicting data models and changing foundation data (high effort)
Before
Project_IDSponsor_ID…BudgetOpex2015…
Org A - Data
Project_IDAllocation_Group…PlannedCostJan2015…
Org B - Data
Project_IDSponsor_IDAllocation_Group…PlannedCostJan2015BudgetOpex2015…
Org AB - Data Re-enter custom attributes after each update
Big DataProject_IDSponsor_ID…BudgetOpex2015…
Org A - Data
Project_IDAllocation_Group…PlannedCostJan2015…
Org B - Data
Multi-tenancy / -hierarchical, -organisational
Update and add new data on the fly
ContractsBudgets
ResourcesAssets
Any Data
Enter data only once
New Attributes to be filled manually by Managers Managers get confused about commitments and changing goals (lack of accountability)
Before
Org AB Data Jan
Org AB Data Feb
Org AB Data Mar
Org AB Data Apr
020406080
100
FocusQuality
Repetitive Validation of the same Data deludes Focus
2h/month x manager
Notifications
Update only new items
Consolidate enriched Sheets from Managers Errors are hard to identify due to due to multiple manual process steps (unreliable data)
Before
Human ErrorNo History of Adjustments
Error Prone Process with Sensitive Data
Cumbersome to find Root-Cause
Reliable and automated real-time consolidation
Full history of adjustments
Encrypted data on attribute level
Analyze, Manipulate and Report Data to BoardAll data manipulation and scenarios are being rebuild to gain an updated insight (wasted time)
Before
Org AB
4 Weeks
Identify assets and resources
Create and track scenarios with near real-time data
History lost e.g. Split Budgets
Strategic Adjustments
Before
Delays in answering ad-hoc questions and understanding scenarios (decision risk)
Planning & ExecutionData preparation
Track resource movement
Understand dependencies
Slice and dice data as required
Strategic Planning and Intervention
Data always
outdated
Potential root-cause
in x100 files
Deluded memories
Multiple sources for
errors
No track record of changes
Lack of flexibility to analyze
Validate TOM savingsLimited insight only allows for reactive measures with no ability for correction (limited insight)
Before
Failed savings analysisNear real time tracking of plan versus actuals
360 Degree Process Improvement
Consolidate
• Always Outdated• High Effort / Costs
• Lack of Accountability• Unreliable Data• Wasted Time
Control
• Decision risk• Limited insight
Before
Save money while getting better results faster - ensuring a smooth transition
Visibility
Consolidate•Always updated (Faster)•Automated processing (Cheaper)
Integrated
Business Logic
•Clear history tracking (Accurate)•Consistent data (Reliable)•Near real time insight (Quality)
Business
Workflow & Apps
•Existing Apps (Best Practice)•Configure own App (Flexible)•Deep insights (Transparent)
Planning
Accelerate the current Process
Load current files Manage Transformation
Impo
rt D
ata
Export Data in Desired StructureMap Data & Ensure Quality
Data load within Days – Go-Live in Weeks – Minimize Consultancy Need
Answer the „Easy“ Questions Quickly, Finally
Built by Experienced Business Leaders Next Generation Platform Technology Not Silo Focused
Full Customer Focus Flexible & Secure Delivery Model Low On-Boarding Risk
First Personal MeetingUse Case Discussion
Product Introduction
Business Value Assessment
Budget Validation
Proof of Value
Adoption
Day 1 5M
6M4M
3M2M1M
FIND PERSONAL VALUE STEP BY STEP
