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Actual-Time Graph Evaluation of Paperwork Saves Firm Over 4 Million Worker Hours


Aug 29, 2022

The gross sales group at Cisco Techniques depends on an intensive collection of paperwork that assist them shut offers with potential clients. Through the use of Neo4j, Cisco was capable of create a metadata graph to make related gross sales content material findable, saving the corporate hundreds of thousands of hours of otherwise-wasted workers time.

The Firm

Cisco Techniques is a worldwide IT chief that designs, manufactures and sells networking gear to enterprise and repair suppliers, small companies and people. With greater than 70,000 staff in over 165 nations, they’re continuously working to create and patent new networking applied sciences. An integral a part of their DNA is creating long-lasting buyer partnerships, working with to determine their wants and supply options that assist their success.

The Problem

Due to the scope of Cisco’s gross sales pipeline, there’s a enormous quantity of content material – equivalent to paperwork, recordsdata and displays – of their inside database that Cisco’s gross sales group depends on to signal potential clients.

Nonetheless, there was a serious content material findability downside: Every salesperson spent as much as one hour on daily basis looking for the content material related to their prospects’ wants.

The corporate was counting on a typical index-driven search engine their staff may search with a collection of key phrases. However as a result of recordsdata didn’t have assigned metadata, it was a problem to drag up related content material.

“The issue was an excessive amount of content material, and no deeper understanding of the content material,” mentioned Prem Malhotra, Director of Cisco Content material Providers. “We needed to ask ourselves, ‘How can we make the search engine do a greater job, and what’s the lacking hyperlink?’”

The Technique

To deal with their findability subject, Cisco had an enormous job forward of them.

They must assign metadata to all of their content material and discover a technique to make typical doc shopping smarter so their gross sales group wouldn’t should undergo lengthy, difficult routes to get to the related content material. They’d additionally must assign metadata tags to an enormous library of historic recordsdata and tag new paperwork in actual time.

The Answer

Cisco turned to Neo4j to resolve these challenges.

To assign metadata to the big assortment of Cisco’s historic paperwork, step one was to rework the file sorts – equivalent to Microsoft Phrase and PDF – into an latent Dirichlet allocation (LDA) format so the paperwork could possibly be clustered by giant knowledge platforms.

As soon as the paperwork have been clustered, a set of frequent key phrases and phrases have been fed into Neo4j, the place they have been mixed to create an ontology.

For real-time doc processing, the doc is distributed from the content material administration system to a machine tagging service that reprocesses the doc, assigns tags and provides the key phrases and phrases into the Neo4j database whereas returning the doc to the doc repository.

The flexibility to assign metadata to historic knowledge – and in actual time – solved Cisco’s content material findability downside.

However Neo4j took it one step additional.

Based mostly on key phrases, content material rankings and the variety of instances the doc has been accessed, Neo4j was additionally capable of present content material suggestions, offering sellers with extra info they may leverage when closing offers with clients.

The Consequence

Now Cisco has a strong search engine that saves their workers time and will increase their potential to deal with extra clients.

They’ve fewer search outcomes that are in flip extra correct and efficient. With about 20 million paperwork, search is completed in half the time.

After A/B testing, Malhotra mentioned, “Search outcomes have been pretty much as good as your handbook curation of content material, which implies that manually you’ll be able to tune the relevance to get an end result.”

Cisco created their very own international gross sales package to converge associated content material collectively so their salespeople can click on on any grouping of topics. The gross sales package tracks views and the way usually a chunk of content material was downloaded – all of that wealthy info comes again to their system.

Cisco’s sellers now have the flexibility search their huge doc database and rapidly present related content material to their clients and prospects.

The corporate now saves over 4 million hours a 12 months that at the moment are used to interact with extra prospects and shut extra offers.

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