Document Validation for FinServ Risk Management
The financial services sector is increasingly recognizing the importance of data quality for risk identification and compliance management. Deloitte listed the major challenges facing QA teams in the financial sector, recommending that using automation to assist in quality control processes “can enable better controls over completeness and timely resolution.”
Data Observability for the C-Suite
Leaders eying artificial intelligence must improve their data health first. For the CXOs, the priority is running a tight operation that can pivot faster and outmaneuver the competition.
Data Observability for Financial Services
Exabytes of data flow through financial services systems every day. The rise in mobile banking, open financial data, and artificial intelligence has created increasingly complex webs of pipelines and other tools. And as the volume of data in the industry grows, companies are working to strengthen their observability capabilities.
Data Observability for Operations
In industries like financial services, which handle massive volumes of personally identifiable information, the ability to answer questions about data and quickly address data issues can impact customer satisfaction, compliance status, and the sophistication of digital products. However, most data observability and data monitoring solutions are too technical for operations teams to use effectively.
Key Terms in Data Observability
If your job involves working with IT and operations teams to answer questions about your company’s data, then you’ve likely come across a glossary of terms like “data quality,” “data monitoring,” and “data governance.”
How Our Clients Scored Big in 2023
How our customers improved their data quality this year by discovering inefficiencies, missing information, and faster processes.
Unlocking Self-Serve OCR
Optical Character Recognition (OCR) converts text in pdfs and images into machine-readable data. BaseCap makes OCR self-serve for everyone at your org.
Simplifying Massive Data Transfers
There are segments in nearly every industry where moving, boarding, or transacting on data is critical to business operations. Hear from Steven Smith about the new technologies that makes large data transfers easier and more accurate.
Solving Loan Professionals’ Data Challenges with Checklist Automation
Manual processes around loan checklists are time-consuming and error-prone. Hear from mortgage expert Craig Riddell about the powerful solution to automate these processes.
Optical Character Recognition
The ability to extract data from documents has forever changed how businesses ingest, track, and validate critical information. Before Optical Character Recognition (OCR) Before the digital age, data was entirely collected on physical formats such as an application form or an invoice. To compare this data to other sources of information, like an excel spreadsheet, […]
