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Arthur D Little - Digital Shift - Array

Home - Digital Operating Model

Arthur D Little - Digital Shift - Array

Digital Flywheel & Ubiquity

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Digital Business Models & Customer Value

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Digital Ecosystems & Processes

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Digital Empowerment & Governance

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Digital People & Culture

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Digital Data & Analytics

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Digital Technology

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Digital Direction: Approach & Roadmap

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Digital Glue: Communication & Change

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Digital Control: Value & Monitoring

Digital Data & Analytics

The ´brutal truth´ about Data Analytics: Why your analytics journey fails and what you should do about it!

Digital Data & Analytics

In the digital world data is the most valuable resource: the right use of data has the potential to radically improve efficiency and quality of operations and create disruptive business models. Yet the right data is also one of the most scarce resources. Many companies fail to utilize the opportunity of Data and fail in monetizing upon the data treasures. Usually it boils down to five major mistakes. (1) No data driven business models, (2) overpromise of data lakes, (3) inadequate strategy for scaling, (4) poor access to and quality of data and (5) lack of data culture.

Data Driven
Business Models

Data Driven
Process Efficiency

One extensive
Data Lake

Business Use Case Driven
Data Pools

Initial Focus on
Quick Wins

From Start Clear Scaling Strategy

Assume
Data Access

Global Data Governance Concept

Concept First,
People Second

Active Change Management from Day 1

A Smart Data Operating Model is key to surmounting these shortcomings!

It’s time for a smart and holistic Data Operating Model

Organizations need to move beyond the theoretical opportunity of data and single use cases and focus on 5 areas:

  1. Data Driven Process Efficiency: Identify and implement use cases along the entire value chain supporting today’s value creation
  2. Business Use Case Driven Data Pools: Lean creation of Data Pools for single use cases with the latter opportunity for aggregation within a Data Lake
  3. Clear Scaling Strategy: Understanding how initial use cases should be rolled out to create company-wide benefits right from the beginning. Options are: scaling by processes, scaling by location, scaling by product
  4. Global Data Governance Concept: Balancing the global vs. local requirements for effective and efficient data management – with clear responsibilities on all hierarchy levels
  5. Active Change Management from Day 1: Creation of a Data-driven Organization starts from data-driven thinking at the top and top management commitment to the efforts required changing the culture and expectations on all organizational levels

Want to know more? Get in touch!

Arthur D Little - Digital Shift - Volker Pfirsching picture

Volker Pfirsching

Partner Central Europe

Technology & Innovation Management

Arthur D Little - Digital Shift - Marius Romanescu picture

Marius Romanescu

Principal, Central Europe

Operations Management