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Connect the Dots

ctd.ai

Founded Year

2018

Stage

Series A | Alive

Total Raised

$20M

Last Raised

$15M | 1 yr ago

About Connect the Dots

Connect The Dots is a network intelligence platform for individuals and teams. It provides expansive insight into who really knows who, helping sellers source insight, influence, and warm introductions.

Headquarters Location

1998 Brodway St. Suite 1106

San Francisco, California, 94109,

United States

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Latest Connect the Dots News

How Network Graphs Connect The Dots In A World Of Ever-Expanding Data

Sep 23, 2022

| Membership (fee-based) getty You wouldn’t change up your entire production process based on sales from just a couple of locations, and you wouldn’t lower auto insurance premiums across the board because collision rates went down during the pandemic. Likewise, as business leaders, we know we cannot make informed predictions without understanding the complex interactions at play. Yet, even when businesses capture the data that they need to see those interactions, they’re still often not able to surface them. Businesses are awash in data, and the practical technology to analyze it hasn’t kept pace. Most companies are still informing complex decisions with dashboards populated with multiple charts comparing just two factors per chart. Dashboards cannot paint a full picture. Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions. These graphs can depict people, locations or objects; the communities they form; and the relationships that exist between them, like, say, high-churn customers. What do they have in common? Maybe it’s a combination of organization size, product purchased, whether they write product reviews and time spent with customer service. Network graphs can show how your customers are segmented and the risk of churn for each segment. You can discover that what you thought were three or four main segments are actually 10. How much better could your customer retention strategies be with this information? MORE FOR YOU Everything, From Everywhere, All At Once Most data is in tabular formats, like spreadsheets or CSV files. With this approach to analysis, you need to look at connections between just a couple of columns at a time. It doesn’t let you make sense of complexity, and it means that much of the rich data that we’re spending so much time curating is sitting unused. Network graphs, by contrast, use all of the columns in the table and allow you to visualize communities based on similarities from multiple factors. Similar individuals (nodes) within a community can be represented based on how close or apart they are from one another. And the similarities between communities (groups of nodes) are also represented based on how close or far apart they’re plotted. Take the example of Texas’ complex power grid of natural gas, coal, wind, nuclear, solar, hydroelectric and biomass facilities. Each of these facilities would be a node, as would all the businesses, municipalities and residents that use the power. The transmission and distribution lines, trunk feeders and pipelines that link generation plants and substations with end users would illustrate the dependencies, energy flow volumes and potential choke points that are essential to know for system reliability. Seeing everything represented in a network graph is a powerful way to take in the complex relationships and interactions that might otherwise go undiscovered and help to improve decision making. To continue the example from above, managers of a local electric utility who want a surefire backup energy source may think they can rely on a particular solar plant because a business intelligence pie chart shows how it has historically supplied a healthy surplus. But they aren’t visualizing the cascading effects of what will happen if several other sources in a different community go down during a heat wave and new users try to tap that same solar facility as well. The latest network graphs make sense of interdependencies in ways that staring at a bunch of charts illustrating six or eight variables over 15 years can’t, showing which facilities are interrelated and making alternative solutions that much more apparent. Getting Started With Network Graphs If network graphs are so great, why are we not seeing them used more? Because organizations have been challenged by how hard they are to create, requiring lots of different technologies and specialized skills. Further complicating things are the lack of standards and no uniform language to query the results. Making sense of the data is also a common challenge. Like all analytics, results are richer when business owners are also able to interpret, and add context to, results requiring data literacy for this new way of seeing data. Interestingly, this may be easier than first appears as networks are so deeply embedded in our every day, online lives—those recommendations that LinkedIn makes? Those are based on networks. Since the communities discovered within network graphs are defined by a lot more data, the results and the implications of those results are actually easier for non-data experts to grasp. For example, if you were to show your customer success team a bunch of pivot tables showing the relationships between a number of factors, it’s unlikely that they’ll walk away with a good understanding of their customer personas. But show them a network graph with 10 distinct communities, each defined by a cluster of behaviors and traits, and suddenly they know who they’re working with and what they need to do next. CIOs who want to advance their analytic contributions to the organization should be exploring this market to find the right graph solutions for them. Vendors are continuing to expand their offerings to address those known challenges. Investing in your data science team’s graph skill development will also help. Consider how to build the skills you need in-house and offer professional development. Data scientists are in high demand and investing in them, and tools that help them do skilled work, can help increase retention. You can keep looking at data the way you always have—you’ll keep finding the same kind of answers. If you want to take a leap forward, look at network graphs.

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Connect the Dots Frequently Asked Questions (FAQ)

  • When was Connect the Dots founded?

    Connect the Dots was founded in 2018.

  • Where is Connect the Dots's headquarters?

    Connect the Dots's headquarters is located at 1998 Brodway St., San Francisco.

  • What is Connect the Dots's latest funding round?

    Connect the Dots's latest funding round is Series A.

  • How much did Connect the Dots raise?

    Connect the Dots raised a total of $20M.

  • Who are the investors of Connect the Dots?

    Investors of Connect the Dots include Cloud Apps Capital Partners, Velvet Sea Ventures and Norwest Venture Partners.

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