Introduction to Biml

Publisher: Shaw Systems Associates, LLC

Access this content

Your content has been opened.

Please verify you are a human before downloading this content.

Introduction to Biml has been emailed to . Entered the wrong email?

Don't see the content in your inbox?
Make sure to check your spam and other messages folders.

Can't get to your email right now?

To complete your registration and access this content, enter the sign-in code sent to your email.

Please enter a valid verification code.

Code sent to:

Also, remember to check in your spam, promotions, and other folders.

Register to access this content

By accessing content on the Insurance & Technology Online Buyer's Guide you agree to our Terms of Service and Privacy Policy; and, you acknowledge that your information may be shared with the content publisher.

Introduction to Biml

What is Biml? Business Intelligence Markup Language (Biml, not BiML or BIML) is a domain-specific XML used for describing the design of SQL Server Integration Services (SSIS) packages. When these files are compiled by a program like BIDS Helper, they produce real, usable SSIS packages.

Similar content you might be interested in

Data Migration for Insurance Agencies: Challenges, Strategies and Techniques

Publisher: Nest Innovative Solutions Pvt. Ltd.

Data Migration for Insurance Agencies: Challenges, Strategies and Techniques

Embarking on digital transformation is a challenging yet essential endeavor for insurance agencies aiming to enhance their operational efficiency, customer satisfaction, and automation capabilities. This strategic shift towards digitalization is often marked by the adoption of sophisticated Agency Management Systems (AMS), which play a pivotal role in adding new capabilities and streamlining business processes. The success of such a transformation hinges on the flexibility, robustness, and automation level of these systems. Replacing or upgrading an Agency Management System is a substantial undertaking, with its complexity and cost directly proportional to the complexity and scale of the agency's business. One of the key aspects of this digital shift is the management and retention of legacy data. This data, encompassing customer information, policy details, and financial transactions, is integral to maintaining continuity and ensuring a successful transformation.

Download Content »

CI3: Key Steps for Insurers to Introduce AI into Underwriting & Claims

Publisher: Cloverleaf Analytics

CI3: Key Steps for Insurers to Introduce AI into Underwriting & Claims

July 2024 Edition of Cloverleaf Insurance Intelligence Insights (CI3)

Download Content »

Get One Step Closer to Zero Defect Loans eBook

Publisher: Integrated Document Technologies, Inc. (IDT)

Get One Step Closer to Zero Defect Loans eBook

The concept of zero-defects is challenging to achieve, and even Fannie Mae does not evaluate lenders by a zero-defect-rate standard. Instead, Fannie Mae expects lenders to set defect rate targets as reasonably low as possible based on formal cost-benefit analysis and demonstrate to Fannie Mae how they are managing loan quality to meet their established target. But with the rise of technology companies helping mortgage originators, lenders can get one step closer to that zero-defect loan without compromising time or profits. Learn more by clicking on link below.

Download Content »