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
Oracle EBS: Features, Pros & cons in 2026
Although Oracle Fusion Applications (Oracle Cloud ERP) was released in 2011, many businesses still rely on Oracle E-Business Suite (EBS), as shown by the Google Trends graph, which highlights the ongoing popularity of Oracle EBS compared to Oracle Cloud ERP (see Figure 1).
Best 14 Process Improvement Techniques in 2026
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.
Compare Top 12 SAP Utility Solutions in 2026
1,500+ companies utilize SAP utility solutions like SAP IS-U, one of the leaders in utility Customer Information Systems (CIS). Yet, adoption still faces significant challenges, primarily due to integration issues. The main hurdles include: Therefore, we recommend users to implement SAP utility solution that can integrate with SAP utilities module.
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.
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.
Data Curation in 2026: 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 %.
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.
Top 11 Free Trial & Open Source Process Mining Tools ['26]
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.
How to Improve Meter-to-Cash Process in 10 Helpful Tips
In the EU alone, adoption of smart meters have reached up to 72%. Such adoption rates may positively impact the meter-to-cash process by facilitating more accurate consumption data and reliable service.
Discover Latest 6 SAP Datasphere AI Integrations in 2026
SAP Datasphere is AI tool that can help deliver meaningful data to the enterprises that struggle to utilize 60% and 73% of their data for analytics, as the latest big data statistics indicate.
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