Discover the methodology behind InsideView’s continuously refreshed data and intelligence.
InsideView turns 40,000+ sources of information into actionable data and intelligence
Data
More than 80 fields of actionable company and contact data, updated in real-time, answer the question of who to target. Use it to identify markets and prospects, score and route leads, segment territories, do pre-call research, enrich leads, clean your CRM data, and more.
Insights
Contextual market signals are pulled, analyzed, and curated from tens of thousands of global news and social sources, ranging from the New York Times to Bloomberg to the BBC, and even narrow niche publications. InsideView insights alert you to timely business triggers and answer the questions of why and when to reach out
Connections
Consolidate all your connections, and those of your colleagues, into a private network within InsideView. It shows how you’re connected to your prospects so you can get warm introductions that open doors to close deals.
Our AI Methodology
InsideView employs a proprietary AI methodology called “MTV” to gather, analyze, and validate data.
MMulti-sourced
InsideView gathers data from multiple sources — more than 40,000 editorial, news, financial, and social sources — including world-class vendors such as S&P Global Market Intelligence, Equifax, and Refinitiv (formerly Thomson-Reuters). Of equal importance, we employ multiple data creation and gathering methodologies. Why is this important? Each methodology has strengths and weaknesses. By using a variety, we take advantage of the strengths of each, while mitigating their weaknesses.
TTriangulated
Triangulation is the heart of InsideView’s technology. It takes advantage of machine learning, text analysis, and proprietary artificial intelligence to validate and make sense of disparate and conflicting information. The essential premise is that consensus among multiple sources is the best indicator of truth. We pull data from thousands of sources, not simply to amass large volumes of data, but to triangulate each point against multiple sources to determine its validity and usefulness.
VValidated
Triangulation is our primary means of validating data, as the most reliable way to automatically and continuously authenticate large volumes of data at scale. We then go one step better, providing an easy mechanism for users to flag and correct inaccurate data points that our editorial staff verify before updating the official record.
With the volume of Big Data growing exponentially, and changing at an ever-increasing rate, data providers need a methodology — processes and technology — that can gather, analyze, and validate massive amounts of data at scale. Otherwise the data will be inaccurate and irrelevant by the time it’s delivered to you.”
Jason Muldoon, InsideView VP Product Development
Resources
INFOGRAPHIC
5 Steps to Improving Data Integrity
REPORT
Data Strategy Implementation Process
