Estiko Fadjar’s Post

Have you ever delved into the nuances that differentiate #ProcessMining, #DataMining, and #BusinessProcessManagement? Discover the distinctive features that set each of these domains apart by exploring the enlightening post below: #AntFarmDS #IBM #DataMining #ProcessMining #BPM #BusinessOptimization #DataAnalytics #ProcessOptimization #ArtificialIntelligence

Not all data has the same value. Data trapped in systems is worth less than real-time, quantified operational data that can be used to generate prescriptive actions. The recent launch of Celonis' Object-Centric Data Model (OCDM) revolutionizes object-centric process mining (OCPM), enabling companies to swiftly and scalably extract actionable, lasting value from their data. Here are five reasons why object-centric process mining is the fastest and most scalable way to realize process transformation: 1️⃣ Singularity: One Model, Endless Possibilities A single, unified data model minimizes modeling effort and allows your process data to transcend system limitations. 2️⃣ Modularity: The Power of Reusability Reusable object and event types streamline the deployment of new use cases, offering both speed and efficiency at a reduced cost. 3️⃣ Appearance: Complexity Simplified The user interface in OCDM is designed to be intuitive, guiding you effortlessly toward the actions that matter without needless complexity. 4️⃣ Flexibility: Customized Perspectives Easily change the viewpoints within your three-dimensional data model to reveal deeper insights and understand complex processes more thoroughly. 5️⃣ Understandability: Speak the Language of Business The common business language used in OCDM eliminates technical jargon, hastening deployments and minimizing misunderstandings. It’s a game-changing foundation for actionable, scalable data insights. Your data is no longer just numbers; it’s your most invaluable asset for performance improvement. Go deeper: https://celon.is/3RYIeyX #ProcessMining

Successfully Completed!! ✍ Process Mining With Celonis 🔍 Skills 🛠️ Process Mining: Proficient in leveraging Celonis software to analyze, visualize, and optimize business processes, driving operational excellence and efficiency. 📊 Data Analysis: Skilled in extracting actionable insights from large datasets, identifying process bottlenecks, and implementing improvements to enhance performance and productivity. 📈 Process Optimization: Experienced in utilizing process mining insights to streamline workflows, reduce costs, and improve customer satisfaction, contributing to strategic business goals. 🖥️ Celonis EMS: Proficient in utilizing the Celonis Execution Management System (EMS) for real-time monitoring, operational insights, and execution management, ensuring agile and data-driven decision-making. 🔧 Data Preparation: Expertise in data preprocessing, cleaning, and transformation to ensure the accuracy and reliability of process mining analyses, enabling informed decision-making. 📑 Business Process Management: Knowledgeable in business process management principles and methodologies, driving continuous improvement initiatives and fostering a culture of innovation. 🔍 Problem-Solving: Strong problem-solving skills to identify complex business challenges, develop data-driven solutions, and drive sustainable process improvements. 💬 Communication Skills: Effective communicator with the ability to present findings, insights, and recommendations to stakeholders at all levels, fostering collaboration and driving organizational change. 🤝 Collaboration: Skilled collaborator with experience working cross-functionally to implement process improvements and drive measurable results, leveraging diverse perspectives and expertise. 🎯 Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of process mining analyses, delivering actionable insights and driving informed decision-making. 📅 Project Management: Proficient in project management methodologies, overseeing end-to-end process mining projects from planning and execution to evaluation and continuous improvement. 📚 Continuous Learning: Committed to continuous learning and professional development, staying updated on advancements in process mining technology and best practices. 💡 Critical Thinking: Strong critical thinking skills to evaluate processes, data, and insights, identifying root causes and developing effective solutions to complex business challenges. 🔄 Adaptability: Highly adaptable with the ability to thrive in fast-paced environments, quickly understanding and responding to evolving business requirements and priorities.

Learn how to apply #processmining to customer journey mapping and improve your business processes! Organizations are always seeking to improve their processes by reducing costs, execution times, and errors. After all, the design and performance of business processes determine the quality and efficiency of its service delivery. But how can organizations improve their business processes? 🤔 In this article, our Business Analyst, Irina Sitova, takes you on a journey into business process management, the importance of #customerjourney mapping, and how process mining plays a big role in driving businesses forward. Read the full Insight here: https://lnkd.in/dnNQhJpf

CRISP-DM stands for Cross-Industry Standard Process for Data Mining. It is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model. The CRISP-DM process consists of six phases : 1. **Business understanding** 1. Identify the business problem. 2. Identify the stakeholders. 3. Define the business objectives. 4. Develop a project plan. 2. **Data understanding** 1. Collect the data. 2. Clean the data. 3. Explore the data. 3. **Data preparation** 1. Prepare the data for modeling. 2. Choose the right modeling technique. 3. Train the model. 4. Evaluate the model's performance. 4. **Modeling** 1. Choose the right modeling technique. 2. Train the model. 3. Evaluate the model's performance. 5. **Evaluation** 1. Compare the model's performance to the business objectives. 2. Identify any potential problems with the model. 6. **Deployment** 1. Create a user interface for the model. 2. Monitor the model's performance. 3. Make changes to the model as needed.

Streamlining Workflows: BPMS and Process Mining in Harmony✨ In the modern business landscape, optimizing workflows is akin to fine-tuning the gears of a well-oiled machine. 🚗 As competition intensifies, organizations seek ways to eliminate redundancy, cut costs, and deliver better results, faster. 🔍 This quest for operational excellence has led to the convergence of BPMS and Process Mining, two distinct yet interconnected tools that offer unparalleled insights into the heart of organizational processes.💡  This article explores the synergy between Business Process Management Systems (BPMS) and Process Mining, two powerful tools that, when used in harmony, can revolutionize how businesses operate. 📈 By delving into the intricacies of these technologies, we’ll uncover how they work together to streamline workflows, identify bottlenecks, and pave the way for continuous improvement. 🔄 For reading the full article, follow the link below: 🔗 https://lnkd.in/evXC_u8C 🕵️♂️ BehfaLab, Private Detective of Your Organization --------------- 🌐 BehfaLab.com/en/ --------------- #BusinessIntelligence #datadrivendecisions #process #bpm #datamining #businessprocess #BI #AI #BPMS #processmining

How can Logistics companies identify inefficiencies and bottlenecks? Process Mining of course! Analyze data from multiple sources to identify opportunities for improvement. Benefits include better decision-making, increased agility, and higher customer satisfaction. Dig into the blog to learn more - https://hubs.li/Q023RZsZ0 #logistics #ProcessMining #DataAnalysis #CustomerSatisfaction #Technology #Innovation #DigitalLogistics

𝗗𝗼 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝗳𝗲𝗲𝗹 𝗹𝗶𝗸𝗲 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗼𝘀𝘁 𝗶𝗻 𝗺𝗼𝘂𝗻𝘁𝗮𝗶𝗻 𝗼𝗳 𝗱𝗶𝘀𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲𝗱 𝗱𝗮𝘁𝗮? 𝗢𝗿 𝗺𝗮𝘆𝗯𝗲 𝘆𝗼𝘂'𝗿𝗲 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘁𝗼 𝗸𝗲𝗲𝗽 𝘁𝗿𝗮𝗰𝗸 𝗼𝗳 𝗮𝗹𝗹 𝘁𝗵𝗲 𝘃𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀? In this digital age, businesses are constantly undergoing transformations and implementing complex IT systems. However, there is often a gap between the initial process design and the day-to-day reality, making it challenging for managers to monitor processes and make informed decisions. This is where process mining comes in, by tracing breadcrumbs left by your systems and creating a process model that conforms to the best-use flow. With the help of key performance indicators and root cause analysis, process mining allows you to detect areas where you can improve your processes and pinpoint inefficiencies. And with the aid of Celonis and our expertise, you can take intelligent actions and quickly react to any dynamic change. So why do things the difficult way when you can let process mining add value to your process excellence? Say goodbye to tiring and ineffective resources, and hello to a more efficient and optimized business process. Let's have a (digital) coffee to discuss how we can support your organization with optimizing your processes! #processmining #celonis #processimprovement

2019, the last year of ‘the old normal’. So much has changed across business and society, the world has changed. Would you go back to how is was? Some of the details in the article below are outdated now. That said, the core message remains as relevant today however as it was when it was written four years ago. The desire and ability to understand how your organisation does business is vital to identifying efficiencies and to realising greater revenues. The use cases of ABB and The Chemours Company discussed in the piece below demonstrate that. Knowing how you interact with customers, suppliers, and partners is one aspect. Introspective analysis of inter-departmental processes adds another dimension and can be just as complex. Regardless of the processes you decide to mine, in this cloud first and SaaS focused age data engineering and integration is a critical consideration for successful application of this technology. In order to be able to track transactions or engagement across applications and systems data has to be accessible, it has to be aggregated and it has to be transformed. Which is why companies who utilise datalakes and have real data integration capabilities have the upper hand. #processmining #lean #operationalexcellence #data #processintelligence #datalakes #datapipelines Harvard Business Review Software AG