DAta driven
digital engineering strategies
Creating a more Transformative Digital Enterprise
Disruptive change has become the norm in every Industry. Rapid shifts in enterprise technologies, markets, governments, and workforce configurations demand continuous and equally nimble responses from businesses. What if your Global Engineering Systems aligned with the burning issues of today while enabling you to more effectively and efficiently identify and take advantage of the next disruption? What if you could maintain exceptional enterprise performance within the heart of your engineering environment while enabling continuous improvement to assure a perpetual alignment between your core operations and ever-changing growth drivers? That’s what it means to be a Transformative Enterprise: an enterprise that’s built to evolve and engineered to excel, with the power to outpace markets, outperform competitors, and outrun expectations – perpetually.
Start Data Driven, Stay Data Driven
Data is no longer merely a by-product of processes, it’s the central asset that drives innovation, efficiency and competitive advantage. A Data Driven Approach to Strategic Planning will deliver:
- Real-Time Insights: Data provides the foundation for real-time analytics, enabling businesses to make informed decisions quickly and respond to changing conditions. However, you must extract the right data from your process and application environment to drive real measurable and sustainable ROI.
- Refined Attack: Understanding the True Root Cause of the issues you most commonly face at critical stages through your Product Lifecycle will enable your prescription of specific functionality that must be built into you Digital Engineering Environment to proactively mitigate those issues.
- Real Measurable ROI: Extension of the Root Cause Analysis to include an Impact Assessment (all-in) will deliver a quantified value proposition (ROI) for remediation activities and increase the attainable level of executive support
- Flexibility and Adaptability: Processes are inherently static and limited to predefined scenarios, while data enables dynamic, context aware responses.
It is therefore critical to execute an empirically sound assessment of your Digital Engineering Environment to identify the specific challenges you face (at a True Root Cause Level) and align the real operational impacts (all-in) to your analysis:
Five Goals for your Transformative Digital
Engineering Strategy:
1. Formalize the development, integration, and use of models to inform enterprise and program decision-making.
The first goal establishes the formal planning, development and use of models as an integral part of performing engineering activities as a continuum across the lifecycle. Such ubiquitous use of models will result in a continuous end-to-end digital representation of the system of interest. This will support consistent analysis and decision making for programs and across the enterprise.
2. Provide an enduring, authoritative source of truth.
This goal moves the primary means of communication from documents to digital models and data. This enables access, management, analysis, use, and distribution of information from a common set of digital models and data. As a result, authorized stakeholders have the current, authoritative, and consistent information for use over the lifecycle.
3. Incorporate technological innovation to improve the engineering practice.
This goal extends beyond the traditional model-based approaches to incorporate advancements in technology and practice. Digital engineering approaches also support rapid implementation of innovations within a connected digital end-to-end enterprise
4. Establish a supporting infrastructure and environments to perform activities, collaborate, and communicate across stakeholders.
This goal promotes the establishment of robust infrastructure and environments to support the digital engineering goals. It incorporates an information technology (IT) infrastructure and advanced methods, processes, and tools, as well as collaborative trusted systems that enforce protection of intellectual property, cybersecurity, and security classification
5.Transform the culture and workforce to adopt and support digital engineering across the lifecycle.
The final goal incorporates best practices of change management and strategic communications to transform the culture and workforce. Focused efforts are needed to lead and execute the change, and support the organization’s transition to digital engineering.