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
Compare Top 10 Azure Scheduler Alternatives: Pros & Cons
Azure scheduler is a cloud-based service from Microsoft that can run jobs on a centralized platform. However, Azure scheduler alternatives can offer better performance for external integrations, multi-cloud support and advanced features, such as troubleshooting complex jobs.
Benchmark TOP 5 SAP Job Scheduling Software
SAP job scheduling solutions can facilitate process management in SAP systems by solving challenges like: Compare top SAP batch scheduling tools based on their capabilities, pros and cons: Sorting: The tools are sorted by their number of reviews except for the sponsors that are listed at the top with a link to their website.
Compare Top 10 Control-M Alternatives by Pros & Cons
Control-M is one of the WLA feature leaders according to AIMultiple’s analysis based on 7 different data sources.
Benchmark Best 15+ IT Automation Software
68% of IT professionals complain about the lack of time to explore top IT automation software since it is a complex domain with many subdomains. See leading tools in their respective categories.
Top 10 Batch Scheduling Software: Features, Pros & Cons
Enterprise batch scheduling software can automate tasks that take up almost of half internal IT team’s effort. However, there are tens of solutions with different costs.
40+ Best Batch Processing Applications You Must Know
According to big data statistics, 90% of business leaders consider data and analytics as key to their organization’s digital transformation. Yet, they can only use 12% of their data. Such stark differences between goals and current capabilities exist in numerous tech domains and batch processing can help close these gaps.
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.
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