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MIRAI - Managing Industry
Restructuring and Adoptions
Inquisitively
S M Balasubramaniyan (S M Bala)Chairman, Board of Directors and Chief Mentor,
Digital Core Technologies, India
APAC Best Practices Conference, Tokyo
15 April 2015
TEREKOMU – Telecom Reforms
Knock Out Multipliers
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Telecom
Industry
Policies
TechnologyConsumers
Economy Regulations
KEIEI – Keeping Environmental
Issues Effectively Intact• Organizations struggle to survive the
continuous onslaught of ‘Changes’
– Investments in Technology : High CAPEX
– Saving in OPEX : Operational Issues
– Increased support : Erosion of Margin
– Deferred Decisions : Lost opportunities
– Regulatory Compliance gaps : High Risks
– Follow the Leader : Poor Return on Investment
– Organization Restructures : Loss of Direction
EVERY ACTION PRODUCES AN OPPOSITE REACTION !
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HITSUYOU – High Thrust
Scenarios : Understand Your Urge
• Telecom Industry faces the compulsions of
the future !
– Making DATA the priority
– Monetizing the new services quickly
– Extracting value from Network assets
– Organizational agility for growth
– Privacy / Security reinforcements
– Controlling the cost
– Customer Loyalty and Commitment
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KOTAE – Key Objects That Aid
Evaluation
Map the
Business
Eco System
Identify the
Business
Drivers
Innovative
solution
options
• Often, the real business drivers are
fundamental in nature
• Every function in the organization / industry
has a role to play to pull the right levers
• What is the role of Quality / Business
Excellence Leader to mitigate the issues ?
EIKYOU – Every Industry’s Key
Yardstick Of Understanding
• Circle of Control > Organizational functions
• Circle of Influence > Functions of the
Industry / sector6
CIRCLE of
CONTROL
CIRCLE of INFLUENCE
KOUDOU – Knowledge Of
Undercurrent Directs Our Undertaking
• Behavior of Provider and Consumer have
underlying compulsions
• Vital Few Vs Inconsequential Many
• What are Controllable & Influence-able
factors of Vital Few compulsions ?7
PROVIDER CONSUMERBusiness
Processes
• Profitable
• Manageable
• Predictable
• Affordable
• Flexible
• Simple
HITOBITO - Higher Technology Or
Basic Interests ? - The Outcome
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• Consumers’ Preference : Cost, Speed and
Connectivity
DORAIBA – Devices Or Apps
Integrate Business Applications
• One device for all needs !
• A companion, more than a communication device !
• Open Platform, capable of taking any application !
• Configurable to individual preferences !
• Speed, Speed, Speed …
• Robust connectivity anywhere !
DEVICES OF THE FUTURE WOULD BE SOFTWARE
DRIVEN OPEN PLATFORMS WITH A HIGH FOCUS ON
DEVICE – TO - DEVICE AND DEVICE - TO – SERVICE
ROBUST AND HIGH SPEED CONNECTIVITY 9
JOUHOU – Journeys Have
Outstanding Unreads ! • Performance Data : Present Strength / Weakness
Future Directional Assistance
• Convert the Data into useful Information !
• Big Data is NEED NOT be Good Data !
• Useful Information > Appropriate Metrics
Appropriate Metrics > Relevant Data
VALUE OF QUALITY LEADER : DATA SCIENTIST
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YOSOKU – Your Sole ‘Killer Utility’
• ‘Killer Ability’ : To identify the right data
that will provide insightful
information
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Data from
Operations
Formal
Feedback
Performance
Benchmark
Statistical
ModelingBusiness
Rules
System
Development
Predictions
from Model
HAKARU – Has Any Kind of
Appraisal Results in Uptakes ?
• Many Business Metrics have become redundant or
no longer able to provide the value the Telco / OEMs
are looking for (eg. ARPU, Utilisation)
• New Metrics need to be evolved which can help in
managing the organizational dynamics in the present
day circumstances. For example,
– Average cost of resolving an issue
– Average support cost per user
– New Service : Reported Issues / User and Usage trends
– Cost of delivering unit data
– % of Non Performing Assets
– Return on investment on Sunset products / services
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SUKIRU – Sure Kick Receipe
Unplugged !
• The ability to predict the course of business in
the short (Manageable) or medium (Profitable)
term will determine the organization’s success
• Data Science provides the answer with a
reasonable amount of certainty
• The preferred journey :
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Data &
Metrics
Reporting
Metrics
Inference &
Monitoring
Advanced
Analysis of
Information
Predictive
Models and
Validation
HENKAN – Here is a New ‘Kangen’ !
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Data
Driven
Enterprise
Continually Evolving
Statistical models
Organisation
Structure
Innovation in
Approaches
Data Science
Capability
Continually Evolving
Business models
Techno Social Objectives
Improve the employability of graduate engineers
Bring back the rigor in design for Product quality
Thank You
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