Here's how you can drive innovation in your projects using data and analytics.
In the fast-paced world of engineering management, innovation is the linchpin of success, and data analytics is the key to unlocking it. You're constantly seeking ways to improve, to find that edge that sets your projects apart. The good news? You have a treasure trove of data at your fingertips, ready to be transformed into groundbreaking ideas. By leveraging the power of data and analytics, you can identify trends, streamline processes, and create solutions that were once thought impossible. Let's dive into how you can harness these tools to drive innovation and lead your projects down a path of continuous improvement and success.
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Travis CessnaPrincipal Mechanical Engineer at Raytheon Technologies
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Shafiul Islam, PhD, CText FTIR&D Process-Product-Technology Specialist ♧ Google & Commonwealth Scholar ♧ Royal Chartered Textile Fellow ♧ Friend of…
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Robin BrooksInnovative CEO @ PPCL | Chemical Engineering, 20+ Patents, Operating Envelopes Expert
Data mining is like embarking on a treasure hunt within your project's data. By sifting through vast amounts of information, you can uncover patterns and correlations that were previously hidden. Use advanced analytics techniques such as predictive modeling to forecast trends and behaviors. This insight allows you to anticipate market changes, adapt your project direction proactively, and innovate in ways that meet future demands.
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Travis Cessna
Principal Mechanical Engineer at Raytheon Technologies
Data and analytics usually will not drive innovation. Innovation is driven by creativity, thinking outside the box and recognizing an opportunity when it presents itself.
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Shafiul Islam, PhD, CText FTI
R&D Process-Product-Technology Specialist ♧ Google & Commonwealth Scholar ♧ Royal Chartered Textile Fellow ♧ Friend of the Environment ♧ ResearchGate Affiliate
Systematic investigation and experimental data analysis are crucial for driving data driven decisions and productive solutions. We found pristine Pareto Principle, the 80/20 rule - achieving 80% results from 20% efforts is an effective tool for fostering creative problem solving tasks. 🕸🦋🕸 #VisionCreatesValue
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Robin Brooks
Innovative CEO @ PPCL | Chemical Engineering, 20+ Patents, Operating Envelopes Expert
The biggest skill needed for analysing process data is the chemical process understanding and knowledge of a particular plant. Unit Process and Control engineers already have this so give them the ability to apply their knowledge quickly and easily so that they can advise operators and Unit and Site management how to operate the plant more efficiently now and in the future. What was the best operation achieved across hundreds of process variables and months to years of process history combined with LIMS, KPI and Emissions history? Construct the Operating Envelope (takes minutes using n-d geometry); look at the operation outside the envelope; explain why it was allowed to occur. Compare visually with your MPC Constraint Envelope.
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Himanshu Kumar
| Engineering Leadership | Pre Sales | Project Management | NPD l P&L Management | Rolling Stock Expert
Data analytics help you to take right decision and make right strategy. Its very important to take logical decision backed by data ( Be its past prduct failure, field data, competitor analysis).
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Steve Jones
President @ S4 Integration Solutions, Inc. | BACnet | ecobee | Metasys N2
Data and Analytics force you to work with facts, not gut feelings and intuition. Although intuition is many times a critical component in defining a product to be really successful you need facts to confirm that you were correct.
The right analytics tools are indispensable for translating raw data into actionable insights. Familiarize yourself with software that can handle large data sets and provide real-time analysis. Look for tools that offer visualizations, as these can help you and your team quickly understand complex data and make informed decisions. By effectively utilizing these tools, you can identify areas for innovation and improvement within your projects.
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Pamela Lynch
Chief Operating Officer | Visionary Executive | Transformational Leader | Change Management | Supply Chain & Customer Experience Innovation | Sustainability | Speaker | Board Member | President WPI Alumni Association '23
We used to use Minitab. Now Power BI is the favorite. I’ve also had good luck with teammates who can pull together customer dashboards to communicate key business metrics. It’s all about what’s important to the business and customer and how to you show the data real time to be able to make decisions in a timely manner.
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Zoey Z.
Data & AI Leadership | Cloud Infra
Recent favorites: - PowerBI co-pilot: simply typing on data insights requests, it'd generate line charts, etc. for you on the dashboard - Looker Studio: simple charts to be built out by drag-and-draw features - Streamlit: open source python package that offers customized UI & viz to be built, some python code with the most flexibility
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VINAY PATEL
Manager at Govt. of India
There's one more software Orange that is quite useful for data visualization. It has a simple drag and drop module to see the desired data.
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Hazim Hmad
Electrical Engineer at Alfaseel for contracting | specialize in Power Systems | specialize in Fire Fighting &Fire Alarm Systems |CFPS | Nebosh IGC | collaborative problem solver. passionate about learning
Foster an environment where creativity and brainstorming are encouraged. Create platforms for team members to share ideas freely and explore unconventional solutions.
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Carlos Moraga
Ingeniero Industrial
Las herramientas son importante en la construcción, seguimientos de proyectos o procesos operacionales para estar dentro de los parámetros establecidos. Analizar la información reuniones tomar decisiones en función de base de datos finales en crucial.
Understanding your customers' needs and preferences is crucial for innovation. Use data analytics to gain a deep dive into customer behavior and feedback. Analyze customer usage patterns, satisfaction surveys, and feedback loops to pinpoint what they truly value. This customer-centric approach ensures that your innovations are not just technologically advanced but also resonate with your target audience, leading to higher adoption rates.
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Asen Aier
Project Manager| Dev Ops |QA| Artificial Intelligence | University-Gold Medalist | BTech & MTech |
Customer is "King" rhythms not only well in words but for service too. Sometimes Yes and a smile with fingers🤞 for requirement needs to be applied.
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Sathyagiri Venugopal
I would say 90% of the time start with a customer need in mind unless you are a research organization that has a specific goal in mind. Things like I want to make my customers experience of the product better or I want to improve our Customer Acquisition cost, improve retention metrics etc. Then start thinking about the various inputs and outputs that you need to measure, collect that data if available or instrument the required data collection. Tooling to ingest, analyze and visualize can come in various shapes and forms and what you use or pick is dependent entirely on your organizations situation.
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Alberto Ochoa
General Director | Managing Director | Country Manager | General Manager | Sales Director
Innovations have to address needs and customers have to be at the core of those needs. Otherwise the innovations run the risk of becoming great ideas with no real benefit. Encourage all areas of the organization to focus on customer needs and prioritize based on impact, resources and timeline. Eventually you want innovations to impact your position in the market and that can come from addressing needs by listening to external and also internal customers in all areas.
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Yorgos Anagnostopoulos
Retired Senior Nuclear Leader - Projects
Customer or stakeholder insights is one aspect of an effective project. At times, customers get a “sticker shock” when they find out the cost and timeline that can deliver ALL that they want. Consequently there are communications and may be comprises. Assemble the best technological and people oriented team and work closely with the stakeholders (customers and finance folks).
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Gene Kim
Value Creation and Growth through Innovation Evangelist
It is critical to understand the customer needs for a successful innovation into a market. Some basic but fundamental questions charts a pathway to creating solutions that satisfies those needs. What are customers trying to achieve? What are customer trying to avoid? How important is it to customers? How satisfied are they with the current solutions available to them?
Incorporate an agile approach to project management by using data to inform iterative development. After each project phase, gather and analyze performance data to identify what's working and what isn't. This process of continuous evaluation and adjustment encourages a culture of experimentation and rapid innovation, allowing you to refine your projects dynamically based on solid evidence.
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Shantanu Nandargi
Project Associate & PMO | Driving Process Optimization & Collaboration in Project Management
Here’s my 2 cents 1. Iterative Development: Break projects into small, manageable phases.Deliver value continuously with each iteration. 2. Data-Driven Decision Making: Gather and analyze performance data after each phase.Use data to identify successes and areas for improvement. 3. Continuous Evaluation and Adjustment: Regularly reflect on project progress and outcomes. Hold retrospectives to discuss improvements for the next iteration. 4. Culture of Experimentation: Encourage testing new ideas and approaches. Learn from both successes and failures to inform future actions. 5. Rapid Innovation: Adapt quickly to changing requirements and insights. Maintain flexibility to pivot based on evidence.
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Nico Martinez
Fractional CTO - Technology Executive - Founder
It's all about experimentation, learning and iteration. If you are not leveraging your data to make quick and assertive experiments with your product, you are probably not getting anywhere close to achieve your expected results. Data is a very powerful tool, but only if used correctly. Otherwise, it can become destructive and toxic. An agile (or iterative) approach, would help weed out bad or anecdotical data, and allow us to focus on the core findings, or to quickly correct our previous assumptions.
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Diego Páez
Consultant | Pipelines | Integrity | Maintenance | Project Management | ILI Inspections | Management | Marketing
Alineado con las metodologías Ágiles y la dirección de proyectos, las reuniones semanales o mensuales permiten un espacio de gran valor para escuchar ideas innovadoras que mejoran los procesos, los datos y hechos recolectados en los avances de cada iteración o reunión son la mejor fuente para implantar mejora continua basada en lecciones aprendidas.
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Carlos Moraga
Ingeniero Industrial
Los proyectos deben tomarse en pequeñas secciones para luego unirlas y formar un todo. La información de cada paso y progreso del proyecto nos dirá como estamos en función de lo predestinado y poder corregir las partidas afectadas. Importante comunicación transversal.
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Azwan Awalludin
HVAC Engineer at Turner International Malaysia with expertise in Clean Room Design
Adopt agile methodologies: Implement iterative development cycles (sprints) to continuously improve your project based on real-time data. Foster a culture of experimentation: Encourage rapid prototyping and testing of new ideas to quickly identify what works and what doesn’t.
Innovative projects inherently come with risks, but data analytics can help mitigate them. By analyzing historical data, you can identify risk patterns and develop strategies to avoid potential pitfalls. Predictive analytics can forecast potential project bottlenecks or failures, enabling you to take preemptive action. This proactive stance on risk management not only protects your projects but also provides the confidence to pursue bold innovative ideas.
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Carlos Moraga
Ingeniero Industrial
Es importante la experiencia para evaluar las posibles contingencias, riesgos, tiempos perdidos, etc. Las tomas de decisión van amalgamados con información, datos, registros, reuniones, tomas de decisión y aplicar re- ingeniería si amerita.
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Lukas Merz, PMP
Project Turnaround Management
Eine gute Integration von Risikomanagement geht weiter und implementiert funktionierende Begrenzungs- und Vermeidungsstrategien bereits in den Arbeitsalltag aller Projektmitarbeiter, indem bei der Abstimmung von Vorgehensweisen und bei Entscheidungen das, was schiefgehen kann, direkt berücksichtigt wird. Beispielsweise kann ein contingency plan oder ein expliziter Handshake an den Schnittstellen das Eintreten oder die Auswirkung der Risiken verringern. Täglich. Und nach einer Weile wird das sogar in den Daten sichtbar.
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Lukas Merz, PMP
Project Turnaround Management
Eine gute Integration von Risikomanagement geht weiter und implementiert funktionierende Begrenzungs- und Vermeidungsstrategien bereits in den Arbeitsalltag aller Projektmitarbeiter, indem bei der Abstimmung von Vorgehensweisen und bei Entscheidungen das, was schiefgehen kann, direkt berücksichtigt wird. Beispielsweise kann ein contingency plan oder ein expliziter Handshake an den Schnittstellen das Eintreten oder die Auswirkung der Risiken verringern. Täglich. Und nach einer Weile wird das sogar in den Daten sichtbar.
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Azwan Awalludin
HVAC Engineer at Turner International Malaysia with expertise in Clean Room Design
Perform risk analysis: Use data to identify potential risks and their impact on your project. Develop mitigation strategies: Create data-driven plans to address and minimize risks before they become critical issues.
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Carlo Zanovello, SSBB
Manager Manufacturing Excellence - VIKING Life-Saving Equipment A/S
A gestão de riscos é essencial para impulsionar a inovação em projetos. Aqui estão algumas estratégias: Identificação e Priorização de Riscos: Identifique os riscos associados à inovação e priorize-os com base na probabilidade e impacto. Diagnóstico de Maturidade: Avalie o nível de maturidade da empresa em relação à inovação. Isso ajuda a articular e desenvolver projetos inovadores. Mitigação de Impactos Negativos: Implemente ações para mitigar os riscos que podem prejudicar a criação de valor ou destruir o valor existente. Exploração de Oportunidades: Use a gestão de riscos para potencializar oportunidades no projeto, apoiando a criação ou preservação de valor.
Finally, use data and analytics to gain a competitive edge. Benchmark your project's performance against industry standards and competitors. Identify what sets you apart and where you can improve. By continuously analyzing the competitive landscape, you can innovate strategically, ensuring your projects remain at the forefront of your industry and deliver unique value to your stakeholders.
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Thomas Chrien
Adjunct Professor, Technical Director Advanced EO Space Sensors
Like any other measurement, the future will be combination of random and systematic effects. We rely on weather predictions to tell us when to bring a coat or umbrella. Predictions aren't always right, but are often enough to be useful. We use past data to characterize the systematic effects so that we can better calibrate future predictions. One example is the use of drawing completion data as a means to predict if a project will be on schedule. We use reliability data to predict how long a component will last before failure. We use design maturity factors to predict the weight of a system. Organizations that predict the future more accurately will have a competitive advantage.
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Dave Peace
Seeking new opportunities following a 33+ year career in Oil, Gas & LNG and associated Infrastructure, Onshore & Offshore, Brownfield & Greenfield Projects. Eur Ing, BEng, CEng, PMP, FIMechE, FEI & AIGPE Quality Champion
Data and analytics are essential for meaningful benchmarking, especially when developing the selected alternative/FEED stage. This allows for demonstration of the best quartile benchmarked performance and, if not, prompts the question of why not. It promotes innovation in design, construction and execution factors to improve the Key Performance Indicators to exceed the desired results and deliver a competitive edge. Benchmarking improvements should always be data-driven; however, innovative design can have qualitative, competitive edges that carry risk and require experienced judgment. Be realistic in schedule data. Look for innovative, doable scheduling, albeit as a stretch, as time carries costly risks and erodes a competitive edge.
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Azwan Awalludin
HVAC Engineer at Turner International Malaysia with expertise in Clean Room Design
Benchmark against competitors: Use competitive analysis to understand market positioning and identify areas where you can innovate. Track industry trends: Stay informed about the latest developments in your field to ensure your project remains relevant and ahead of the curve.
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NADEEM AHMED QURESHI,
Project Manager ( EHV AND HV Substation Projects )
The purpose is to do things in more effective way than earlier methods to get same or better outcomes from the projects with less cost and time by maintaining quality. So your lesson learned play important roles. New methods and oppotuntiies should be explored using modern trends of the time. Adoptibilty to change is key factor here project team should be taken on board and motivated to accept changes and transotions from old norms to new norms.
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Azwan Awalludin
HVAC Engineer at Turner International Malaysia with expertise in Clean Room Design
Data Governance: Ensure data quality, security, and compliance to maintain trust and integrity in your analytics processes. Collaboration and Communication: Promote cross-functional teamwork and transparent communication to integrate data insights seamlessly into your project workflows. Continuous Learning: Stay updated with the latest advancements in data analytics and encourage your team to develop their skills continuously.
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Rakesh Dikshit
Leadership | GCC | Retail | Technology, Engineering & Product | Data & Analytics | Architecture, Products & Platforms | Data-ops & Dev-ops | Strategy & Road-map | Digital Transformation
If its innovation then rather than going the route of data to decisions, we should look at the reverse way and see what decisions are we trying to take and accordingly decide what analytics capability is needed and in turn whats the data requirement. This would help in true innovation breaking out of the conventional ways.
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Allan Candari
New Product Development Engineer at EPE Philippines Corp.
consider different factors that may affect your work. always think for the possible outcome and always think of the worst case scenario and make the possible countermeasure and corrective actions. always do the PDCA (plan-do-check-act).
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