LinkedIn Sales Insights can help your business spot all the latest opportunities
New platform provides sales teams with real-time insights into potential opportunities
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Sales teams can now leverage the data generated by the 700m users ofLinkedInas theMicrosoft-owned company has launched a newdata analyticsplatform called LinkedIn Sales Insights (LSI).
The company first debuted LSI back in December of last year but now the platform is generally available. LSI provides sales teams and leaders with access to theLinkedIn Economic Graphwhich is one of the most powerful datasets in the world.
By using LSI, sellers can gain real-time insights into potential opportunities based on data generated by the business-focused social network’s members. The platform allows businesses to get an up-to-date overview of the size of specific departments or job titles to see how fast they’re growing. Sales teams can also use LSI to compare opportunities across markets, locations and segments on a global scale.
Staff engineer at LinkedIn Sabeer Thajudeen provided further insight on how businesses can leverage LSI in ablog post, saying:
“Understanding a company means knowing who works there and what they’re trying to accomplish, including how many people at that company could benefit from a product or service and how that number is changing over time. LinkedIn Sales Insights (LSI), powered by the Economic Graph, can help answer those questions because it maps the relationships between people, companies, skills, jobs, and schools.”
AI and data mining
As the raw data delivered to LSI from the social network is mostly unstructured, LinkedIn usesAIto turn it into reliable structures and useful insights.
For starters, the company defines what counts as a “company” as anyone can create a Company Page on its site. To do this, LinkedIn uses AI including character-level language models to help it decide whether a company page represents a real company or another entity such as a blog or spam page.
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The social network also uses AI to detect and connect duplicate records in cases where it has separate records for the same business that each have a different address for their headquarters. LinkedIn’s AI-powered record linkage model uses machine-learned measures of similarity to help it determine if these records represent distinct entities. The company even leveragesdeep learningand distant supervision to find addresses and to parse them into components that are structured and database-friendly.
In addition to finding new opportunities, businesses can even use the LSI platform to enhance their existing companydatabases. To do so, LSI needs to match customers' existing company records to the records stored in its company database.
Organizations interested in trying out LinkedIn Sales Insights for themselves canrequest a free demofrom the company to get started.
ViaVentureBeat
After working with the TechRadar Pro team for the last several years, Anthony is now the security and networking editor at Tom’s Guide where he covers everything from data breaches and ransomware gangs to the best way to cover your whole home or business with Wi-Fi. When not writing, you can find him tinkering with PCs and game consoles, managing cables and upgrading his smart home.
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