Experian Asia Pacific

🚀 DataMC and Experian Data Quality Partnership! 🚀 We are thrilled to announce a new partnership between DataMC and Experian Data Quality! This collaboration is set to transform the way Local Government Agencies handle their data migration processes. The partnerships combines DataMC's extensive expertise in data migration with the cutting-edge data quality technology of Experian's Aperture Data Studio. Local Government Agencies currently face significant challenges with data quality and data migration, such as dealing with legacy data systems, managing siloed data, and the lack of resources dedicated to data management. Our partnership addresses these challenges by ensuring high-quality data throughout the migration process and beyond, leading to improved customer experience, greater operational efficiency, increased collections revenue and significant cost savings. If you’re a Local Government leader and want to understand more, please get in touch! 🌟 #DataMC #ExperianDataQuality #DataMigration #ApertureDataStudio #LocalGovernment #DataManagement

We're proud to be sponsoring WORK180's 2024 International Women's Day Summit. At Experian, we are committed to creating an inclusive workplace that promotes women's growth and wellbeing. We hope to see you at the summit next month! Learn more about the event here: https://lnkd.in/dr62M_8a

Check and cleanse the email addresses in your lists, maintaining a high sender reputation. Upload your list(s) 24x7, we’ll then return your lists cleansed and formatted correctly. Learn more; https://lnkd.in/gj_RCKEv #DataQuality #emailvalidation #datamanagementplatform 

44% of Financial Services organisations have experienced an increase in fraud cases in the past 12 month with synthetic identity applications growing the fastest. Find out how firms are fighting back with our new infographic https://lnkd.in/g8U6wqUh #fraud #fraudprevention #identitytheft

79% of Financial Services organisations believe that Machine Learning is the most effective method to detect fraud. However, bias and explainability of ML models remain the key concern. Explore the infographic to find out more about the latest fraud prevention trends, challenges and solutions in the FS sector https://lnkd.in/g8U6wqUh #fraud #fraudprevention #machinelearning #ai

Our latest research with Forrester Consulting shows that 73% of businesses have seen an increase in fraud losses over the last year. We want to hear what your fraud priority is!

Using Generative AI to develop synthetic data can help businesses overcome many of the challenges associated with ML model development, such as data privacy restrictions, bias and a lack of data. Find out more about this exciting technology from our top data scientists in our latest business insight report.   Download your complimentary copy today. https://lnkd.in/ga2kj6PW   #Innovation #GenerativeAI #DataScience #Fintech

To understand how businesses like yours are using AI to improve the accuracy of their credit models and enhance CX – join us for our AI webinar.    In less than an hour, we’ll provide you with a summary of our latest research findings plus expert advice on how to take advantage of the opportunity that AI represents.    Register now by clicking on the link below: https://lnkd.in/gnkFJvKu #Innovation #RiskManagement #FinancialServices #Telecoms #BankingIndustry  

The countdown to AI regulations is well underway – meaning the clock is ticking for black box credit risk models. Compare how far along the road to explainability your business is with nearly 900 businesses across EMEA and APAC in our latest research report.     Download your copy today: https://lnkd.in/eufRZJsr   #AI #ML #MachineLearning #Telecoms #Fintech #BankingIndustry 

We asked nearly 900 senior business leaders what their biggest analytics challenge is. The results were clear – a lack of seamless connections between data assets and inadequate data management infrastructure. So, what’s the solution? Find out in our latest business insight report: https://lnkd.in/gUMcYeHH   #Cloud #CloudComputing #Data #Fintech #Telecoms