- Problem:
- An international trading firm wants to analyze a high volume of complex financial over-the-counter trade data in seconds rather than days as it typically takes. They also need emails that go back and forth amongst them, and also key RSS feeds from pertinent journals to understand what is being said about their accounts.
- Solution:
- They can install AIE as their operational business intelligence system and warehouse. It’s real-time out of the box, so there is no need to upgrade their hardware. The can now monitor email and assessment reports from inside the company, and various news feeds, journals, and research content sources from their industry. With AIE’s automatic facet generation they find new performance patterns and the alerting capabilities add SMS for their mobile staff and push content to their operational applications.
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- Problem:
- A SaaS legal discovery vendor launches a new product that takes off in the market far quicker than they expected and they aren't prepared to manage and support the growth. Unless they can manage the product's growth, they face the threat of booming operational costs from non-scalable search technology that will use up many more servers than they're prepared to pay for. They also need to reassure customers that they can provide an instantaneous and relevant search experience that lives up to their reputation for innovation.
- Solution:
- Embedded AIE is a purely Java-based OEM search solution with great out-of-the-box relevancy for structured and unstructured data and doesn't need a lot of tuning. It installs cleanly and requires zero to low integration effort and minimal training. AIE has a core footprint smaller than 20M, whereas conventional search systems are more than 60 times that size. AIE processes over 100 million documents per server, enough to reduce server needs by almost 80%. With AIE they don’t have to buy all the hardware up front but instead add it as the system expands, without having to re-index. AIE also does not limit the number of returned results, which means that collecting every last document for eDiscovery is much less tedious than expected.
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- Problem:
- A nationwide insurance provider needs to know why the Northeast sales region is at only 25% of its quota for the quarter, far behind everyone else, and they want to know what steps to take to fix the problem. The usual reports from their CRM don’t say much; only that sales were down for one product line more than the rest.
- Solution:
- Attivio AIE is installed to monitor email transactions amongst the sales teams and picks up on a large volume of emails that discuss one of the sales support staff. Sentiment analysis shows that most of these emails are negative in tone. A tag-cloud highlights terms that refer to this person's quality of output and general time management.
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- Problem:
- A new media company needs an easy-to-use, best-of-breed search experience for their customers, specifically matching their interests and connecting them together, to increase stickiness and loyalty, leading to more advertising revenue. The solution they choose has to be easy and inexpensive to integrate, host and manage.
- Solution:
- AIE becomes their search for all content. A rather straightforward implementation, it can be up and running in days. They have the ability to add more capabilities (e.g. intelligent facets) as they grow the site.
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- Problem:
- A globally recognized specialty membership association needs a search solution that would provide answers to their members’ questions (e.g. rule clarifications) at point of request, especially the handset (Blackberry and iPhone). Answers have to be derived from both structured and unstructured data sources. Intelligent query disambiguation is required to clarify in-exact searches.
- Solution:
- AIE is chosen as their search solution for all content, pushing answers out to members’ handsets. A key component is the ability to actually answer the question with the relevant information from the index, rather than providing a link to where the answer might be.
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- Problem:
- A leading banking institution needs to search legal contracts for important terms that might uncover undue risk or exposure and, just as importantly, to discover patterns in product bundling that could be used to sell additional services to existing clients and increase the average revenue derived from new customers. Contracts are stored in multiple content management systems (CMS) and on employee desktops, and exist in multiple formats, including TIFF images.
- Solution:
- AIE indexes all contracts from all sources, including integrating optical character recognition (OCR) capabilities and provides a discovery environment with heavy emphasis on entity extraction and dynamic facet recommendation because this application requires a “discovery” approach versus a search approach. AIE’s unique ability to automatically generate facets, versus most solutions’ requirement that they be manually programmed, is a key consideration.
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- Problem:
- A well-known media company needs to audit all the content in their organization on a regular basis to see if any information breaks corporate privacy rules (e.g., PCI, PII).
- Solution:
- A recognized leader in solutions for safeguarding data and applications for Governance, Risk Mitigation and Compliance, turns to Attivio for added functionality to conduct regularly scheduled audits of all data: structured, unstructured, and multi-media. The audits search for privacy breaches based on a set of rules. When a breach occurs, a compliance officer is notified.
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Market Intelligence and Voice of the Customer |
- Problem:
- A marketing team needs to know what industry blogs, newsfeeds and customers are saying about the company’s 100 top-selling products.
- Solution:
- AIE indexes the company’s sales data (structured) and the news content and call center records (unstructured) and correlates the results by creating a database-like join between them.
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Homeland Security and Intelligence |
- Problem:
- A government agency needs to “connect the dots” between people, places, and things (e.g. weapons) by examining and exploiting associations and common behavior patterns. All content resides in relational databases, so the JOIN capability is the main requirement. The solution must provide dramatically improved performance over the conventional database approach.
- Solution:
- AIE indexes the entire database and provides a discovery environment emphasizing fuzzy search to find variations in proper names and descriptions, and connecting content together through rapid JOINs. The initial pilot included 17M records – without any tuning – yielding improvement of ten times the conventional database solution, with another order of magnitude improvement expected after tuning.
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- Problem:
- A network file system vendor needs a search engine they can bundle with their product that will provide search across the complete library of documents in their clients’ NFS implementations. Because this is an OEM arrangement, the search engine's footprint and document density capability (how many documents can fit in the search index on a single computer) are extremely important to their total cost of ownership.
- Solution:
- AIE becomes the search experience embedded in their solution. Initial pilot has indexed > 102M documents per conventional server. The small footprint (< 20Mb) of Embedded AIE means the solution does not grow egregiously in size.
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- Problem:
- An industry membership portal needs to bring together manufacturers and contractors around projects as they arise on their portal. Manufacturers are notified of projects that present an opportunity for their products, and contractors are notified of contracts that are relevant to their skills.
- Solution:
- AIE becomes the search experience for the entire portal, focusing on matching manufacturers, contractors, and project opportunities by examining similarities in key terms and providing discovery capabilities for members to explore the site.
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- Problem:
- A large nationwide consumer electronics retailer wants to increase sales and its average order value (AOV) by stocking hot products and services and bundling them in a single sale. It's looking for positive and negative news and comments and insight on what products should be bundled and purchased together.
- Solution:
- AIE connects to their internal CRM, product catalog, images, emails, word documents, videos, etc. and externally to relevant news feeds, blogs, press releases, etc. AIE can tell them when a product is discussed and detect the source and number of mentions about the item. Users can also determine how products sell together (e.g. "How many HDTVs and HDTV cables were sold together?", "How did a new TV accessory announcement affect sales TVs?"
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- Problem:
- A global, diversified publishing organization needs to build their reputation as the primary information portal in each of the individual industries they serve. This requires that they provide expert recommendations and information based not just on their own published content, but content from external relevant sources such as websites and other publishers.
- Solution:
- AIE becomes the search experience for each of their portals, focusing on integrating internal and external content and finely tuning the environment for good relevancy. The ability to prioritize their own content and that of their advertisers is key to monetizing their sites.
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NewsroomWednesday, March 10, 2010 - Enterprise Systems, article by Attivio CTO Sid Probstein
Balancing the... more
EventsEnterprise Search Summit, Hilton New York, May 11-12, 2010
Join Attivio at the Enterprise Search... more