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ToolsLevel of maturity

By applying this model, one classifies the digital maturity of a company or a department based on four sequent values of benefit:

1. Monitoring2. Controlling3. Optimization4. Autonomy

Assessing current status and target status builds the foundation for thinking about relevant data sources, use cases and value benefits of Big Data.

Data Map

By using the Data Map, data sources are structured and classified:

• Internal vs. external data sources• Already accessible vs. to be made accessible• Degree of the data's dynamics and volume• Data types, formats and structures

Furthermore, the Data Map is a tool for jointly discussing possible challenges (such as data privacy) between different departments.

Data Value Assessment

This tool evaluates the benefit of the uses cases which has been defined with respect to internal or external stakeholders or customers, respectively.

Big Data Value Chain

The Big Data Value Chain puts the handling of data sources into a specific process order:

1. Data collection2. Data integration3. Data exploitation

Blueprint Architecture

The Blueprint Architecture systematically assembles all the components required for data ingest, data management, data processing and data access. The architecture is used as target picture towards which the Minimum Viable System shall be completed over time.

Big Data Action Plan

The Big Data Action Plan consolidates all activities required for creating the value which the company or department is aiming for. Hence, various measures in four areas need to be aligned:

1. Technical activities2. Legal activities3. Financial activities4. Organisational activities

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Contact: office@mm1.com www.mm1.com www.data-thinking.com

The Consultancy for Connected Business

Data Thinkingaccording to

PrinciplesData Thinking enables the data-driven unlocking of new business opportunities.

Data Thinking is implementation-focused and takes technical, financial, legal andoperational conditions into account.

Data Thinking provides a clear flow of activities including specific tools for each of the activities.

Data Thinking is iteration-based, agile and delivers measurable results.

Implement and extend the Minimum Viable System for testing

Build

Design

Measure

Learn

Classify the company's level of maturity regarding Big Data

Understand the data cosmos by drawing a data map

Define 3 to 5 hero use cases per level of maturity

Integration into product or business process

Define Big Data Value Chain and

Blueprint Architecture

Estimate implementation

efforts and prioritize

Qualify and quantify the use

cases' potential value

Test the outcome of develop-ment and the system's acceptance with its stakeholders

Analyse the users's feedback

Start

Goal