Digi.me going prime time

I had the chance yesterday to speak with Paula Newton on CNN’s Quest Means Business. I thought she was going to focus on the Congressional hearings earlier in the day with Sheryl Sandberg of Facebook and Jack Dorsey of Twitter, but she really wanted to understand how digi.me works. She’s done quite a lot of stories on how our data and privacy is being abused by the big platforms, so it was refreshing to see her interest in solutions like ours.

We discussed our new app ecosystem, why it’s so interesting for developers, and how we empower people with their data if the data is already “out there” (a question I get all the time). You’ll have to watch the interview to learn more.

It was fun to visit the studio here in Washington. I was in the makeup room with Wolf Blitzer as the news of the mystery New York Times op-ed was breaking. Of course, the first tweet on my interview asked why CNN was talking about privacy and data given the other news. At least I didn’t get bumped!

IMG_5154

 

Why Personal.com “graduated” to TeamData today

teamdata-logo-grey

Ben Horowitz was right after all. He told us a few years ago that our model of user-centric data management was all wrong for consumers, but that it just might work in the enterprise. Realizing we weren’t buying, he sent a nice follow up email to encourage us to seriously consider changing our focus. We were so convinced we were right I’m not even sure if we wrote back (sorry Ben).

Today Personal.com and our Personal Data Cloud solution are becoming TeamData, a reflection of our shift toward solving critical information management and data collaboration needs of companies and their employees, as well as with consultants, vendors and customers.

Enter the enterprise. Despite game-changing transformation from team productivity and collaboration solutions in recent years, employees still have to hack their own standalone solutions to organize the information they constantly need to get stuff done — like spreadsheets, notes apps and even contact cards in their address book. Meanwhile, email, messaging, calls and in-person interruptions remain the standard for requesting and sharing data. Entire classes of jobs continue to exist solely to organize, manage and update information manually for teams and their members.

 

A MindMap showing approx. 10% of the data graph of a company

Most existing solutions for team productivity excel at unstructured data (e.g. files or notes) or messaging and project management. And the few products that understand data, like password managers and digital wallets, are limited in the types of data they manage and their security was not designed for collaboration.

The reality is we’re all still kickin’ it old school when it comes to organizing and sharing information.

Current solutions do not solve the complex challenges of structured, reusable data — which is hard to protect, growing exponentially, changing constantly and needed in super-unique combinations for different lengths of time by people inside and outside of companies.

That’s because data is a related, but altogether different game that requires deep understanding of the data itself combined with granular permissions to enable its reuse in limitless combinations while providing entirely new types of security (e.g. we follow Privacy-by-Design principles).

As we started re-architecting the Personal.com platform and data library for team collaboration six months ago, early adopters started reporting compelling evidence of the benefits. Here is one recent example from Onboardly for content marketing teams:

All time top tools to keep your team on track…Securely stores just about all the details that your brain doesn’t ever seem to absorb.” — Onboardly

 

productivity-benefits-image

What’s so special about networked, structured data is that it can be reused over and over across an entire company, and everyone with permission automatically has access to the most up to date version when anyone makes a change (they can also have their access turned off).

There is literally only one copy of the company name, address and Federal Tax ID in a TeamData graph. One instance of the company social media account logins, demo server credentials, and visitor wi-fi. And so on, for over 1,200 different types of data covering thousands of different tasks.

Finally, networked, machine-readable data will also unlock new kinds of innovation when employees and companies grant permission to apps and analytics tools, like the new generation of AI-driven digital assistants.

We are still passionate about our vision to empower consumers with data. We already see employees starting to form teams outside of the office using their private data, and know they will discover whole new ways to use our tools.

For now, we’re excited to keep our heads down and keep solving all the challenges companies and employees face every day. Give it a try and let us know what you think — teamdata.com.

This post was originally published here in Medium.