Custom Vendor Landscape: Loan Servicing and Portfolio Management Software
Prepared for: [Client Name Redacted]
An Important Note
Understanding a Custom Vendor Landscape
- Info-Tech’s Custom Vendor Landscapes are custom deliverables that are built with a heavy emphasis on the use cases and selection criteria of the requesting client. They are intended to provide an external point-of-view on a smaller or niche software marketspace. They are built over the course of one week based on secondary research by one of our Software Selection Services analysts.
- These deliverables may be sanitized and published for convenient access by our other members; it is important to understand that they are not intended to be general market analysis reports like our SoftwareReviews Data Quadrants or Software Selection Guides.
- This report is bespoke to the client that requested it and is not intended to be an omnibus view of the entire marketspace (these deliverables are limited to ten vendors, and the vendor shortlist is often dictated in full or in part by the requestor).
- Please ensure that you are conducting your own due diligence on vendors within the space; the sanitized version of this report may be a helpful starting point for initial vendor shortlisting; the limitations of its scope and the highly custom nature of the vendor list and analysis contained within does not make it synonymous with the analysis in our omnibus market analysis research (SoftwareReviews Data Quadrants and Software Selection Guides).
Understanding the Selection Initiative
Objective
[Redacted] is seeking Scientific Data Archiving Software that can seamlessly integrate with their current system. The primary motivation behind this selection process is to identify new vendors capable of providing advanced scientific archiving capabilities for enhanced data management efficiency, regulatory compliance, and seamless access to critical research and development data.
They seek a unified, user-friendly platform with comprehensive archival functionalities, including data storage, preservation, ingestion, processing, metadata searchability, analytics, and robust security features. Therefore, a thorough market analysis is essential to identify a customized vendor landscape capable of meeting specific criteria and ensuring due diligence in selecting the Scientific Data Archiving Software.
Vendor Selection Criteria
In evaluating the marketspace for Scientific Data Archiving Software, Info-Tech’s analysts looked at the following vendor attributes:
- Breadth and depth of capabilities for Scientific Data Archiving Software
- Vendor footprint (vendor market presence, vendor share of mind, vendor stability and long-term viability
- Focus on vertical-specific capabilities
- Customization potential and ease-of-use
- Affordability transparency
Selection Rigor Matters.
Enterprise software is a key driver of digital transformation - having a strong approach to vendor selection is essential. Info-Tech’s research shows that 70% of application selections fail because of poorly defined requirements and inadequate vendor validation.
Defining Scientific Data Archiving Software
Market Definition
Scientific Data Archiving Software aims to achieve two primary objectives:
- Firstly, it aims to preserve scientific data securely and accessibly over the long-term, ensuring its integrity, usability, and adherence to best practices for future research. This involves storing data in standardized formats, implementing redundancy measures, and following digital preservation standards.
- Secondly, it facilitates the easy accessibility of scientific data to researchers, scientists, and stakeholders by providing efficient mechanisms for searching, retrieving, and analyzing archived data through user-friendly interfaces, standardized metadata schemes, and compatibility with other data repositories or analysis tools.
Key Trends in Scientific Data Archiving Software market
The Enterprise Information Archiving Market size is estimated at USD 8.29 billion in 2024, and is expected to reach USD 14.36 billion by 2029, growing at a CAGR of 11.60% during the forecast period (2024-2029).
Source: Modor Intelligence
Attacks against the pharmaceutical industry aren’t as well-known as those in healthcare, financial or retail. The most common root causes for a pharma data breach are malicious attacks (45%), human error (28%) and IT failure (27%).
Source: Security Intelligence
In the rapidly evolving landscape of artificial intelligence (AI), robust data storage is crucial for the success and efficiency of AI applications. As AI systems grow more sophisticated and handle larger volumes of data, the need for scalable and high-performance data storage solutions becomes paramount.
Source: Solutions Review
Top Level Features of Scientific Data Archiving Software
Feature Name |
Description |
| Comprehensive Archival Solution | Provides a holistic approach to archiving, covering all stages from data ingestion to long-term preservation. Ensures complete lifecycle management of scientific data. |
| Secure Data Storage and Preservation | Ensures data integrity and protection by using standardized formats and redundancy measures. This guarantees that data remains intact and accessible for future research. |
| Efficient Data Ingestion and Processing | Facilitates seamless data import from various sources, with tools for cleaning and preprocessing. This improves data quality and ensures consistent organization. |
| Advanced Data Processing | Offers tools for analyzing and processing large datasets. Enhances the ability to derive meaningful insights from raw data. |
| Enhanced Searchability with Metadata | Utilizes comprehensive metadata schemes to improve data searchability and retrieval. Ensures that users can quickly locate and access specific datasets. |
| Data Analytics | Enables data to be readily used for analytics and research purposes. Facilitates the extraction of valuable insights to drive scientific discovery. |
| Compliance and Security | Manages user permissions, encrypts data, and adheres to privacy standards to protect data. Ensures that only authorized users can access sensitive information. |
| Unified Platform | Acts as a central repository for all scientific data, streamlining data management and access. Reduces redundancy and simplifies data governance. |
Key Players
Info-Tech identified 6 platforms applicable to the use case. The platforms are listed in alphabetical order.
