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
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.
Top 11 Free Trial & Open Source Process Mining Tools
Software specifications and requirements are different in each industry, but it is important to choose the correct software. 52% of business leaders identify the lack of right process mining solution or expertise as the key problem behind their low rates of adoption, according to process mining stats.
Data Curation: Key Concepts and Best Practices
Data curation is an important part of data management. Data curation is the process of collecting, wrangling and preserving data. It allows companies to store sustainable and accessible data to share and apply self-service analytics. Data-driven insights are crucial as data-driven sales strategies enable companies improve their sales productivity by 20 %.
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