Hazal Şimşek
Hazal is an industry analyst at AIMultiple.
Research interests
Hazal focuses on
- process intelligence including process mining
- enterprise automation including IT automation and low-code no-code (LCNC) automation
Professional interests
She has experience as a quantitative market researcher and data analyst in the fintech industry.Education
Hazal received her master's degree from the University of Carlos III of Madrid and her bachelor's degree from Bilkent University.
Latest Articles from Hazal
Best 6 Real-Life Enterprise Information Management Examples
With global data volume projected to hit 149 zettabytes by 2045, organizations have more data than ever. However, 60-70% of enterprise data remains unanalyzed, limiting its potential value as ML stats show. Understanding enterprise information management examples can help businesses turn raw data into actionable insights, improving decision-making and efficiency.
ERP Knowledge Management: 7 use cases & case studies
Today, 53% of business leaders consider ERP as a priority investment. Yet, 40% of executives struggle to access, analyze and use enterprise enterprise and customer data due to the complexity of ERP systems. Knowledge management can help overcome this challenge by providing a guideline to manage and use information in your ERP systems easily.
Top 20 Real-Life Search Engine Applications
54% of information workers across the globe complain about interrupting their work to look for information, insights and answers. The enterprise search engine solves time loss by helping organizations search and retrieve information across various data sources, including websites, databases, and file systems.
Quantum Sensors: Best 8 Use Cases & Case Studies
Quantum sensing is the most mature market in the quantum technology ecosystem. For example, it has been used in MRI for 50 years. Despite its potential, investment and market players remain low. Advancements in quantum sensors will improve accuracy and measurements. The global quantum sensors market is projected to grow 9% annually, reaching $1,020.
18 Best Process Analysis Tools & Techniques
Process analysis is the first step to process visualization, improvement and management, which is why process analysis has been gaining popularity, as Figure 1 shows. Despite the increasing interest, only 15% of business processes are analyzed and managed properly as BPM statistics show.
Process Visualization: 8 Use Cases & 13 Best Techniques
According to neuroscience studies, people tend to transmit information by 90 % more in a visual format, which is why they can follow directions in the visual format 323% better than text format.
18 Process KPIs to Monitor Process Performance
Efficient process management can boost productivity by 30-50%, yet improvement and automation efforts are rarely monitored, as BPM stats show. Setting realistic process KPIs (key performance indicators) is time-consuming and error-prone, and analysts often struggle to quantify the benefits of their improvements.
Best 14 Process Improvement Techniques
Companies use process improvement techniques to identify bottlenecks and improve them in a process flow based on their process scope and objectives. Yet, these techniques have been losing popularity with the emergence of process intelligence tools.
6 Process Mining Trends & 20 Stats to Watch for
Process mining has evolved into a mainstream approach to discover and improve business processes, and its market is projected to grow by 40-50% by passing $1 billion in 2022. It is being applied to numerous sectors and departments, ranging from healthcare to logistics.
What are 5 Best Process Mining Algorithms to Consider?
Process mining algorithms are examples of how machine learning process mining applications can facilitate process discovery. TThey help clean the required data and generate process models with different strengths and weaknesses. Technical professionals and developers must decide which algorithm to use based on the data and models of the processes they want to automate.
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