TRENDING integrate with bank accounts and financial platforms , these systems handle routine tasks like data entry , transaction categorisation , invoice matching , and recurring billing .
With constantly evolving tax codes and regulations , business management software provides built-in tax preparation tools that calculate taxes owed , generate tax forms , and facilitate electronic filing .
Automation not only reduces the risk of costly human errors but also frees up valuable time that can be redirected toward activities that drive business growth . For example , automating invoice generation and payment reconciliation ensures accuracy and efficiency , maintaining smooth financial operations .
This functionality helps MSMEs stay compliant with tax regulations , avoiding costly penalties and allowing them to focus on business development .
Tax compliance is another area where modern software offers critical support .
Celal Kavuklu , Director of Customer Advisory for Middle East , Turkiye and
Africa , SAS
How SAS will integrate Hazy ’ s synthetic data tools into SAS Data Maker
SAS , a global provider in data and AI , acquired the principal software assets of Hazy , a pioneer in synthetic data technology . This strategic acquisition aims to enhance SAS ’ data and AI portfolio , further equipping its customers with synthetic data generation capabilities as their use of AI rapidly expands .
Synthetic data generation provides enterprises with secure , cost-effective access to high-quality datasets , accelerating AI development by eliminating the need for costly and timeintensive data collection . It enables organisations to explore new opportunities , simulate scenarios , and build ethical , trustworthy AI systems while enhancing data privacy and compliance , ensuring risk-free innovation .
SAS customers will experience enhanced innovation and research capabilities , gain a competitive edge through simulation of multiple future scenarios , and development of trustworthy AI systems . There are several advantages with the integration of Hazy ’ s innovative synthetic data technology into the SAS Data Maker offering .
It enables enhanced innovation by providing access to rich synthetic datasets , accelerating research and breakthroughs . Faster time-to-market is achieved through rapid generation of highquality synthetic data , streamlining AI development . Customers can build trustworthy AI systems with diverse , ethical datasets while ensuring privacy and security , as synthetic data eliminates exposure of real , identifiable information .
Additionally , organisations benefit from cost savings by reducing reliance on expensive data collection methods , making advanced analytics more accessible and driving competitive advantage through trustworthy and efficient data-driven solutions .
Tools like SAS Data Maker , enhanced with Hazy ’ s technology , streamline this process , enabling rapid generation of high-quality synthetic datasets . These datasets can be tailored for specific use cases , making them ideal for innovation , research , and training robust AI models .
With the integration of Hazy ’ s capabilities into SAS Data Maker , customers can overcome challenges related to data availability , access , and quality , driving faster time-to-market and fostering the development of robust AI solutions .
Synthetic data generation is all about creating artificial datasets that statistically mirror real-world data , without exposing any sensitive or identifiable information . By replicating the patterns and characteristics of actual data , synthetic data allows enterprises to conduct advanced analytics and AI training while maintaining data privacy .
This makes it truly instrumental in addressing challenges like data scarcity , privacy concerns , and ethical considerations . Importantly , synthetic data enables organisations to innovate and simulate realworld scenarios securely , making it a cornerstone for developing trustworthy and robust AI systems .
The process of generating synthetic data begins with analysing a real dataset to identify patterns , correlations , and statistical characteristics . Advanced algorithms , often powered by AI , will then replicate such traits with new data points , without duplicating original data in order to safeguard privacy .
All market segments can benefit from synthetic data , but industries with stringent privacy regulations , such as government , public security , healthcare and finance , stand to gain the most . These sectors often face data scarcity or access challenges due to compliance requirements , making synthetic data invaluable .
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