Enterprise Project Management is one part of the organizational structure that hasn’t seen the same levels of technology integration as most others. Manual data testing is still prevalent and with the influx of technology in business, the need to adapt is evident. In this presentation, we attempt to identify the inefficiencies that currently prevent organizations from achieving optimum efficiency.
MAHA Global and IPR: Do Actions Speak Louder Than Words?
Digital will drive the next wave of EMP transformation
1.
2. EPM has had no dearth of technology and buzzwords
Excel HyperionMonte Carlo Simulation
Sensitivity & Scenario Analysis
BI Tool Predictive modelling
Cognos SAP
Oracle
Data Marts
Zero-based budgeting
3. Yet EPM maturity today is underwhelming
Management reports are manually collated in Excel60%
Time is spent on data gathering Vs. analysis50%
Organizations carry out ad-hoc, manual data testing61%
DRIVING ACTION FROM INSIGHTS
Too late
Too little
More information, fewer insights
More past than future
More internal than external
4. Will it be different with digital?
Internet of Things
Machine Learning
NLG
Big Data
Integrated Business PlanningCognitive
NLP
Hadoop
Social, Mobile, Analytics, Cloud (SMAC)
5. Yes, if we can reimagine 5 cornerstones for EPM transformation
Standardization with
mass customization
Operating model for
specialization
Literacy and numeracy
Experience drives
effectiveness
Agility >= accuracy
1 2
3
4
5
6. Standardization with mass customization - e-commerce gets it
400+ flights, 257,000 Properties, dozens of rental car companies
Our Common Database
140+ different front ends
7. Experience drives effectiveness - the secret behind successful digital
assets
Bloomberg
Professional
Bloomberg TV + Bloomberg
Business
Bloomberg
Business for
Apple Watch
Bloomberg
Radio+
Bloomberg
Businessweek+
8. Mass customization and experience enhancement can overcome
fundamental EPM challenges
Business unit performance
Sales Department
Marketing Department
Regional performance
Sales Department
Marketing Department
Sales performance
Sales Department
Marketing Department
Production performance
Sales Department
Marketing Department
COGS spend
Sales Department
Marketing Department
A&SP spend
Sales Department
Marketing Department
12. Unfortunately most EPM efforts are skewed towards the past
Poor data quality
Legacy technology
Driving the last point of accuracy
Bottom-up forecasting
Rolling forecasts
Driver-based forecasting
80:20 rule
Digital leverage
80%
20%
50%
50%
Past
Forward
looking
Past
Forward
looking
13. Example : SKU-level prices impact forecasting for CPG companies based
on real-time input price variation
Structured
Data
Unstructured
Data
Procurement plans
Operating plans
Materials movements
Competitors plans
Commodity exchange
Weather forecasts
Political movements
Customers preferences
Machine learning
(NLP/NLG)
Cognitive
SKU linked
profitability report
Price and scheme
optimizer for each
SKU
Scenario analysis at
SKU level
15. Effective EPM combines the qualitative and quantitative
Past performance
News feed Industry prospects
Financial score
Market & business
insights
Structured &
unstructured
internal data
16. Example: fundamentally changing the planning and forecasting cycle
Forecast Strategic
Plan
Annual
Contract
Action
Time
Integrated Business
Planning
17. Operating models for specialization
Data
Curation
Data
Governance
Analysis
Reports
We expect EPM practitioners to be superhuman
10-15%
Analytics Data Collection
25-35% 55-65%
Business
Partnering
18. Not surprisingly, the process is frustrating and longer
Book Closure Done
I don't get reports on
time. They lead to so
much rework
Yes you are right, I also
have too many data
sources to work on. It
takes time and I cannot
do more analytics .
Day 1 to 3
In-country and regional report preparation
focuses on data gathering, reconciliation,
cross checking and formatting
19. Not surprisingly, the process is frustrating and longer
Day 4 to 6
Region 1
Region 2
Region 3
Region 5
Region 4
Reconcile
Cross check
Ensure accuracy
Report preparation in a region focuses on
data gathering from countries, reconciling,
and cross checking rather than qualitative
analysis
Let me know
why the cost of
production has
gone up.
Why have
sales dropped
in your
country?
20. Not surprisingly, the process is frustrating and longer
Day 7
That’s what I do too, reformat
reports in the common chart
of accounts.
I do not get reports on
time from the regions,
they do not include
competitive analysis, and I
have to rewrite the
commentaries.
Mgmt. Team
The reports received from various regions are collated, reconciled
and qualitative inputs are used to create the final report
21. Operating model redesign to a competency-based organization is
imperative
Transactional
Complexity
Dimension
Processing
Action
Dimension
22. The new operating model
Country Region Headquarters
Trend discussion with sales team
Strategy discussion with
business leaders
Corporate strategy discussion
Global centralized hub
Empowered dashboard
Data scientist Reporting COE Analytics COE
23. EPM transformed
Standardization with
mass customization
Experience drives
effectiveness
Agility >= accuracy
Literacy and numeracy
Operating model for
specialization
Driving action from insights!