Possibly the most over-worked, under-funded resources in any large enterprise are those responsible for Knowledge Management. Often with multiple data repositories and millions of files under their jurisdiction, KM professionals must analyze, search and retrieve complex content on demand. Such data requests often present a formidable challenge without strong tagging, taxonomies and management controls, such that users typically cannot self-serve and add to the KM team’s burden.
AutoClassification is changing all that, with the ability to richly tag content across many different dimensions and facets, while still respecting a well-honed taxonomy. Feeling confident? You might be ready for a demo!
1) Prepare. Locate and pre-tag stored content in advance
Crawl and tag content from disparate data sources across the entire organization; from shared drives and cloud storage environments to third party repositories, even legacy scanned paper files. Baseline tag all content for key attributes, such as: DocType, Product Names, Components, Keywords, Sources, Dates and Competitive Issues.
2) Enhance. Setup rules & attributes for easy retrieval
Enrich files with specific metadata tags related to purpose, location, age, business use, retention lifecycle, legal hold, and taxonomy. Build automated workflows around analysis; search and retrieval; reporting, and litigation and M&A requests. Ingest new content automatically, enrolling it in your taxonomy at the outset, with full metadata tagging from the get-go.
3) Query. Run searches, sorts & reports to deliver results on demand
Run consolidated searches, view reports, preview documents, and better mine your data and content populations against your search requests. Easy access and usage reporting helps justify ROI. Finally enable data requestors to self-serve!
4) Produce. Pull files, reports, job status & productions as needed
Respond quickly to any manner of search request, from product or components history, to intellectual property, to records cleanups and litigation. Create automated content pulls by time or cadence, by request type, by content arrival, by event or on command. Supplement content pulls with status reports and summaries.
5) Repeat. Automate data request processes and procedures.
Setup for regular, ongoing queries and ad hoc, on-demand ones. Build custom front-ends for ease of use and rapid request processing. Enable self-service with custom forms and built-in searches. Easy drag and drop plus web-based access. Plan request response time and resource allocation needs well in advance.
6) Monitor. Track performance, usage and results over time.
See real-time metrics tracking for performance analysis over time. Forecast future needs for resources, processing power and turn times. Consolidated data visualization supports metrics, access, and viewing from full corpus, to single searches, to individual files. Control your organization’s valuable content, including the searches operating across it.
Case Studies
See how Valora clients streamline Knowledge Management with AutoClassification:
Managing GDPR Data Subject Access Requests (SAR’s) with PowerHouse AutoClassification
Valora was asked to provide a solution to the growing number of Data Subject Access Requests (“DSARs”)…
AmLaw 10 Firm AutoClassifies Extensive Data Backlog While Maintaining Strict Country-wide Data Security Protocols
AmLaw 10 law firm needed a solution beyond asking their 500+ attorneys to classify files by hand.
Extracting Fields from an Enormous Data Set
Valora was approached by a large reinsurer, primarily servicing the global shipping industry…
Webinars
View our on-demand webinars on AutoClassification best practices:
5 Things Records Managers & IG Practitioners Can Learn From Litigation Professionals
Lawyers may not always be commended for their strategic use of technology, but when it comes to managing large volumes of documents…
How to Manage Data Privacy While Managing Records
Learn how best practices around records retention naturally lend themselves to proper and defensible data privacy protection.