Tag Archives: XML

Hierarchical Data – More Than Just XML

In a recent Aberdeen Group Analyst Insight paper it was identified that 50% of their survey respondents were currently integrating Hierarchical data sources with 13% planning to implement this capability in the next 12 months. But the changing trend is that of those organisations currently integrating XML data where nearly a third are using or are planning to integrate other Hierarchical sources with the need to integrate JSON coming out in the lead with COBOL records and Google Protocol Buffers close behind. Apache AVRO has not been integrated much currently but shows the biggest growth in planned integration and also number of projects. (more…)

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Apache Hadoop MapReduce Meets Informatica Data Parsing

Guest blog from Arun C. Murthy, Founder & Architect, Hortonworks

As the framework architects and developers of Apache Hadoop MapReduce, we are always looking for ways to simplify the complex tasks associated with large-scale processing of data. We want users and organizations to spend their time on analyzing their growing data to gain valuable insights, not on menial tasks such as massaging their data for consumption or tediously parsing complex structures in their data. The Informatica HParser technology is extremely valuable in this regard. (more…)

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Lenders – Are You Ready For The September 1, 2011 Uniform Loan Delivery Data Deadline?

What are you doing to prepare?

“All loans, without exception, must use the MISMO-based loan delivery data requirements on or after September 1, 2011.”  Where is this coming from?  The Federal Housing Finance Agency (FHFA) is mandating a joint uniform loan delivery data (ULDD) standard for single-family loans using MISMO 3.  According to FreddieMac, these MISMO based loan delivery requirements  “…represent a significant change from our current loan delivery data requirements …”

Stated benefits of this new delivery format include:

  • Strengthening risk management capabilities.
  • Improving transparency and confidence in the loan decision by using the same root data in our processes that lenders use in their processes
  • Improving data accuracy and confidence in loan quality.
  • Supporting greater data consistency while maintaining each GSE’s ability to independently set credit and pricing policies and business terms. (more…)
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How Does Your Cash Reporting Solution Measure Up?

As we continue to emerge from the financial crisis, cash reporting is critical. Cash management functions have centralized in many organizations and increasing volumes of global payment transactions continue to drive the focus on cash reporting. How competitive is your cash reporting solution? Are you meeting the needs of your customers? Do you have the following gaps in your solution?

1. Lack of standard cash reporting format and implementation guidelines
2. Inability for machines or humans to easily read cash reports (without IT involvement to customize reports)
3. Delay in providing new cash reports to customers due to:
• Lack of automated support for SWIFT 9xx messages in current payment application
• Extensive, time consuming testing required as a result of custom code
• Lack of automated BAI to SWIFT conversion support
4. Inability to support new corporate requirements (e.g. due to inability to support new capabilities in XML based formats such as SWIFT MX)

In a recent AFP (American Finance Professionals) survey, respondents wish to see several changes to the BAI code reporting process in the future. 84 percent of corporate respondents would like the format and implementation guide standardized across all banks. Forty-four percent would like the tags and XML descriptions standardized to make the information more easily read by machine and humans.

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