Financial Services – Solution Use Cases

  Client Case Studies   AllRegs By Ellie Mae Webinar   Financial Services

Solution Use Cases

Concept Searching technologies have been adopted by financial services firms with the foresight to leverage metadata to achieve their business objectives. Not restricted to resolving challenges in just search, the solutions improve any application that requires the use of metadata, and establish a framework for information governance.

To address overarching and often global issues, changes are needed at the tactical level using technologies, people, and processes to achieve objectives, reduce risks and costs, and improve business performance.

Explore the fundamental issues and how our technologies resolve them in the financial services sector.

  • Search

    Enterprise search is an infrastructure component and the impact of poor search reaches far beyond the retrieval of information.

    Affecting organizational efficiency and productivity, poor search results can increase costs as well as organizational risk. A core component in all Concept Searching solutions is the ability to automatically generate compound term metadata, eliminating end user tagging. Identifying relevant content during a search effectively removes ambiguity, and enables the retrieval of information based on the concepts within, increasing both precision and recall.

    Case Study

    Improving Search for 500 Investment Professionals

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    One client is a diversified active investment management firm with a strong parent company and a culture of risk management. This global company required the ability to manage content more effectively and provide real-time access to up-to-date, relevant, and accurate content.

    Operating in a SharePoint environment, the client deployed the conceptClassifier platform and conceptClassifier for SharePoint to provide the framework for information access on its portal. The solution eliminates end user tagging, automatically generates semantic metadata, auto-classifies content from diverse repositories, and provides robust taxonomy tools to quickly and easily adapt to changing regulatory and compliance requirements. A key differentiator in the taxonomy management component is the ability to be easily managed by subject-matter experts as well as IT professionals. Read more

  • Case Study

    Improving Search and Solving Compliance Challenges with One Set of Technologies

    document-downloadsThe oldest and largest private equity fund dedicated to investments in the energy sector was seeking to resolve two challenges. The first was to improve search on its SharePoint intranet, and the second was to improve records management processes. The conceptClassifier platform and conceptClassifier for SharePoint provided the firm with the ability to eliminate manual tagging and use the rich, conceptual, automatically generated metadata to significantly enhance the search experience for end users.

    To address the records management challenge, conceptClassifier was used to enable the firm to define a taxonomy that mirrored its file plan. It is now able to automatically declare documents of record as they are ingested or created and using conceptTaxonomyWorkflow declared records are routed to the records management repository for disposition, providing the ability to apply lifecycle management to all content. This ensures compliance and regulatory requirements are met in a way transparent to business users. Read more

    Records Management

    Regardless of whether you are using the SharePoint Records Center or a third-party application, records management and the lifecycle of documents of record are typically challenging in any industry, not least in the finance sector.

    The biggest stumbling block has always been end user tagging. With complex file plans, and the fact that human tagging is haphazard at best, organizations can often unwittingly fall into the trap of noncompliance. The Concept Searching platforms are being used to automatically identify documents of record, auto-classify the content to a taxonomy that mirrors the file plan, and route directly to the records management application.

  • eDiscovery and Litigation Support

    eDiscovery and litigation support is costly, time-consuming, and risky.

    Although the real costs of eDiscovery and litigation support can be estimated, they are often hard to determine, let alone plan for. The best defense is the ongoing management of data to ensure preparedness. Unmanaged information carries a great deal of risk, as it can be used in unintended way. During the eDiscovery or the litigation process, the same basic problem of finding relevant information occurs, which is costly and unproductive. Using Concept Searching solutions, the conceptSearch compound term indexing engine is licensed for building and refining taxonomies and term sets. The engine provides automatic semantic metadata generation that extracts multi-word terms or concepts, along with keywords and acronyms. These multi-word concepts are then ingested by the search engine index, delivering true concept-based searching. This eliminates the need for complex queries, avoids vocabulary normalization issues, and can direct the search via taxonomy search methods.

    Case Study

    Solving the Problem of Unstructured Content Using the SharePoint Term Store

    document-downloadsUsing SharePoint, one of the largest and most respected asset management companies in the United States offers a broad array of products and services to individuals, institutional investors, and corporations worldwide. After evaluating several SharePoint solutions for improving search and managing unstructured content, it selected the conceptClassifier platform and conceptClassifier for SharePoint for several reasons.

    conceptClassifier for SharePoint was a strategic technology solution that enabled reuse of the technology to resolve multiple unstructured content challenges. Key requirements were the ability to tag unstructured content, manage the content through taxonomies, and have a tool that integrated natively with the SharePoint Term Store. An additional requirement was to use the automatically generated conceptual metadata, to provide intelligent migration capabilities from file shares to SharePoint. The initial rollout was for the legal department, where metadata is essential to successful litigation support and eDiscovery, significantly reducing costs, risks, and time. Read more

  • Case Study

    Knowledge and Risk Management Deliver Insight on an Intranet Portal

    document-downloadsFormed in 1988, this leading Italian banking group had the foresight to address knowledge management as a discipline and the means to reduce organizational risk. The corporate business division deployed the conceptClassifier platform and conceptSearch to build a knowledge portal, supporting the division's analysis and planning.

    The solution automatically captures and integrates information in real time, from websites and internal sources, and classifies the content based on the concepts contained within the source.

    The result is an optimized search engine, balancing precision and recall. From a business perspective, the ability to analyze content in real time, as well as retrieve highly relevant content, has enabled the firm to reduce risk and improve decision making.

    Information Governance

    Financial organizations must seek to adopt innovative technologies to enable them to develop an enterprise information governance strategy and the tactical processes that not only reduce costs but improve any application that uses metadata.

    Concept Searching solutions are being used by diverse companies to address the information governance issue. The technologies have been used to develop an enterprise metadata repository, improve search, automatically declare records and eliminate privacy and sensitive information exposures in on-premises, cloud, and hybrid environments.

  • Text Analytics

    The ability to aggregate precise information from diverse sources, and then analyze it, is invaluable in decision making and cost reduction.

    Data is machine driven, whereas unstructured content is driven by people, which makes nuances, insights, relationships between disparate content, sentiment, and knowledge capital difficult to extract. Using Concept Searching technologies before analysis means the quantity of content can be reduced through an initial cleansing. Once the 'noise' has been eliminated, the ability to analyze the content at a granular level produces actionable results that can be used to solve problems, reduce costs, and improve decision making.

    The solution works with any business intelligence or artificial intelligence applications for example, Power BI, Burst, Click, Microsoft Azure Machine Learning Center, or Cortana Analytics Suite for Predictive Analysis.

    Case Study

    Identifying concepts in context with a daily deluge of millions of documents

    document-downloadsA bank investing in twenty-seven countries, from Central Europe to Asia, has a goal of building market economies in the regions it serves. To meet these objectives, the professional staff regularly seek information from the public sector, regulatory bodies, and international websites such as the World Bank.

    The deployment of the conceptClassifier platform and conceptSearch enabled the legal professionals, economists, and information professionals to quickly pinpoint and retrieve highly relevant information from millions of pages of content on a daily basis. Using multi-word terms to index material, conceptSearch creates an intelligent understanding of text within unstructured or semi-structured information.

    conceptSearch enables professional users to easily sort through several hundred documents, some quite lengthy, by providing a synopsis of relevant concepts highlighted within the content. This enables the users to scan quickly, and spend more quality time devoted to providing analysis and insight.

  • Collaboration and Communication

    Several clients in diverse industries are using the conceptClassifier platform to drive sales and reinforce their differentiators to diverse audiences.

    Concept Searching has been very successful in client situations where intellectual property is sold for a fee. The end user experience must be consistent and transparent, presenting the precise information to the right person at the right time. The ability to harmonize information and present relevant content to existing or potential clients can be a key differentiator in driving sales. The Concept Searching solutions provide the ability to transparently deliver content based on site visitor interest areas. This improved customer experience drives cross-selling, regardless of whether fee-based or free services. The same concept-based information aggregation capabilities are also being deployed internally.

    Content can be aggregated from diverse repositories  providing end users with a holistic view of appropriate information. From a collaboration and communication perspective, the Concept Searching technologies provide structure and a framework for expertise identification, by identifying granular information, which typically would not be found.

  • Security

    Sensitive, confidential, and data privacy information exists in documents, scanned items, faxed items, emails, and in any unstructured or semi-structured content.

    Concept Searching technologies provide the ability to automatically identify, secure, and prohibit the portability of privacy and sensitive information vulnerabilities from within content, using organizationally-defined vocabulary and descriptors. Since the metadata generation is not restricted to keywords, it is highly accurate in identifying potential security exposures, in real time, as content is ingested or created and then routed to a secure repository for disposition. Full support for standard descriptors is included. Additional value is achieved by enabling the organization, or functional groups, to define confidential information that falls outside standard descriptors.

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