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 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.
Compare Top 15+ Production Planning Tools by Features
While examining the production planning tools market, we found that much of the available information is outdated, failing to reflect the latest advancements and deployment options. To provide a clearer view, the market can be categorized into key segments: Note that the rating data is gathered from top B2B user review websites.
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 44 Process Mining Use Cases & Applications in 2026
Latest process mining trends and stats show that 93% of business leaders aim to leverage a process intelligence software like process mining since these tools enabled process improvement by 23%, digital transformation by 25% and automation by 25%.Process mining offers a variety of use cases beyond these broad application.
3 Types of EBS Migration: Best practices & Key Benefits
Oracle EBS is a popular suite of business applications that was released by Oracle Corporation in 2001 to manage and automate various business processes. Oracle EBS migration refers to the migration process for Oracle EBS. This migration may include types like: 1.
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.
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