DataHero, one of the leading providers of self-service cloud BI, has expanded its integration with HubSpot, launching the first connector that enables sales and marketing professionals to easily generate data visualizations and analytics dashboards from HubSpot CRM. HubSpot CRM is a flexible, intuitive solution for managing prospects and sales pipeline. Now marketers and sales professionals can leverage HubSpot CRM with DataHero to improve analysis of the entire funnel from first touch to close.

HubSpot CRM was built to help sales representatives navigate the challenges that come with data entry and interaction management. DataHero’s integration with HubSpot CRM enables our users to aggregate data from an extensive list of cloud services into clear, concise visualizations for making informed, data-driven decisions,
Brian Halligan, HubSpot CEO

HubSpot CRM creates a bridge from marketing to sales. With DataHero’s HubSpot CRM integration, users can use analytics throughout the entire sales lifecycle, combining data from HubSpot CRM and other cloud services to improve lead management, pipeline tracking and account management with data visualizations. Digital marketing agencies can now gain visibility into how a campaign impacts a client’s bottom line, while delivering charts and dashboards that validate their work.

To address how integrations with HubSpot make business processes more effective, DataHero Founder and Chief Product Officer, Chris Neumann will be participating on a panel with industry experts at HubSpot INBOUND on Sept. 10 at 10:30 a.m. ET.

“HubSpot CRM is becoming a go-to tool for sales professionals, playing an instrumental role in helping grow the business. DataHero’s HubSpot CRM integration gives users the tools to combine HubSpot marketing data with sales data. Marketers and sales reps can now easily get the key findings they need to increase engagement levels and close more deals,”
DataHero CEO, Ed Miller

(image credit: JD Hancock)

DataHero, the self-service Cloud BI provider, just took $6.1 million in a Series A funding round led by existing investor Foundry Group. In addition, it has introduced software industry veteran Ed Miller as its new CEO, and announced a partnership with inbound marketing and sales platform HubSpot. Miller boasts 25 years experience as a software entrepreneur, most recently leading Xythos to a successful exit – it was acquired by Blackboard Inc. (BBBB) in 2008.

“DataHero is uniquely positioned in the marketplace with the combination of their intuitive interface, advanced analytics and ability to easily visualize cloud data,” said Ryan McIntyre, Managing Director and Co-founder of Foundry Group. “We invested in the company three years ago because we identified a real market gap for data analysis for the non-technical user. To thrive in today’s business environment, companies need to shift from traditional gut-based decision making to a data-driven mindset for everyone in the organization. This is what DataHero is all about.”

DataHero previously raised $4.5M in seed rounds, totaling $10.6 million in funding to date.

Paired with HubSpot, DataHero enables users to track when customers close deals, filter by custom fields, and display their data in different time groupings. Working together, HubSpot provides the full funnel marketing and sales solution, while DataHero delivers the visualized analytics to support that funnel. Agencies will now have the ability to provide their clients with DataHero’s service and receive significant cost-savings.

Chris Neumann, DataHero’s Product first-in-command, explained how the integration with HubSpot helps marketing professionals, who rely on a myriad of cloud services, easily monitor campaign performance: “With DataHero’s new HubSpot integration, HubSpot customers can quickly identify key metrics in their marketing data and easily combine it with data from other services they use, like Salesforce and Google Analytics, to get the full picture of their campaigns.  The agency program expands upon DataHero’s self-service offerings to better serve the unique needs of marketing and digital agencies, who today are underserved by traditional BI vendors.”

About DataHero

DataHero is the leading provider of self-service Cloud BI, enabling users to quickly identify and understand the metrics that drive their business. With its intuitive drag-and-drop interface, users are able to import and analyze data from the services they use every day – including Salesforce, HubSpot, Google Analytics, Dropbox, Stripe, Excel, and many more. The company is based in San Francisco, California.

Cloud-based data visualization startup DataHero has gone into an alliance with Marketo, the market automation tool provider, according to an announcement that came early last week.

Through this collaboration Marketo’s 3,000+ customers will be able to tap analytics from lead activity reports to identify the sources, campaigns, and leads that add the most to the bottom line.

“2015 is gearing up to be the year of Cloud Data,” believes DataHero CEO and Co-founder Chris Neumann. “Our partnership with Marketo helps marketers dig deeper into their marketing automation data and instantly combine it with Cloud Data from other services they rely on, providing a full picture of their marketing pipeline,” he added.

Filtering based on lead score, DataHero can identify exactly where the best leads come from and monitor the marketing funnel from start to finish, saving hours of combing through raw data to find insights, explains their press release.

Apart from suggested charts on patterns gleaned from the data, DataHero has the option to create custom charts as per requirement, which are updated in real-time with the changing Marketo data. An option to merge the data with other sources,like Excel files and additional cloud services is also available.

Loretta Jones, VP of Marketing at Insightly points out: “The DataHero integration with Marketo allows users to make informed business decisions with little hassle. It is a huge time saver to see real-time patterns in data across all your data sources.”

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Chris Neumann stands at the forefront of the fastest moving technology industry trend: Cloud BI. He’s spent the past three years evangelizing an industry-wide shift to the cloud and has helped position DataHero as the first truly freemium BI platform in the cloud space.

A calculated risk-taker with deep tech industry knowledge, Chris took his lessons learned from Aster Data and started DataHero with a new vision-giving the market a cloud based visualization product servicing the enterprise and consumer customers. We recently spoke to Chris about DataHero’s journey, the importance of UX and how self-service BI is going to change the game for enterprises big and small.

Could you give us a brief background on DataHero’s mission?

DataHero’s mission is to create a self-service, cloud BI tool, for an end user, that helps make sense of the data you work with everyday. By connecting to the services you use daily, DataHero’s vision is to take the intimidation and clutter out of analytics by simplifying and organizing the data you need to power your business forward.

You have a strong focus on UX, which makes sense given your target market. What key lessons have you learned about providing value there?

Data products have traditionally always been designed for data people – so they’re filled with assumptions about the users’ background knowledge. For example, when you try to add an attribute to a chart in any traditional BI products, the first question you’re asked is: “Is this a dimension or a measure?” If you don’t have a background in data analysis, you have no idea what that means and end up spending more time trying to figure out the interface then getting your business question answered. We learned early on that the most important thing to making data analysis accessible was to remove all assumptions about our users’ past experiences with data products and instead focus on helping them achieve their goal: answering business questions. By coming machine learning and recommendation engines with consumer-centric UI/UX, we’ve been able to build a product that lets any user answer business questions, without first having to learn the process and terminology of data analysis.

Does DataHero’s service aim to reduce the need for in-house data science capability?

Absolutely not. For many companies, in-house data analysis capabilities are essential to their success. The problem today is that many analysts and data scientists are spending their time creating charts and dashboards for business users who would gladly do it themselves if they had products that were easy-to-use and gave them access to the data they needed to work with.

Our goal at DataHero is to empower business users to be able to answer business questions without always having to rely on data analysts and, in doing so, free up the data analysts and data scientists to work on the high-value data problems they were originally hired to solve. This is why we were named best startup at O’Reilly Strata 2014, the leading conference for enterprise data analysts.

Do you have any estimate on what kind of reduction in cost that may result in for one of your clients?

One of our clients has used DataHero along with excel spreadsheets and Salesforce.com. He has seen a 75% in reduction of time after buying our tool. This along with ease of use is the reason we seen people buying the most.

Could this become an industry trend? There’s a hiring binge for data science talent, but is it filling a gap that you’re aiming to bridge?

We predict that in 2015, Self-service BI will become a key focus of many companies. Data teams have become bottlenecks in most companies because they can’t possibly keep up with all of the data problems business users are trying to solve. By enabling business users to be more self-sufficient, the entire organization becomes more effective and efficient.

Could you describe the technology you use to operate DataHero?

DataHero is built on Amazon Web Services using Node.js. We use a variety of databases and data platforms to deliver our data analysis, classification and recommendation engines, and leading web technologies like Backbone.js and React.js for our intuitive user interface.

How do you differentiate yourself from other competitors on the market who are aiming to make data more accessible to business users (Zoomdata, Tableau, etc.)?

There are many great companies out there, but we find that their products are still geared towards the technical person. We really try to provide a service that is easy for the non-technical person and the services they use everyday. In companies like a Good Data, you still have to have them provide custom connectors to the data center. Once done, this allows the user to gain access to data that solves their problems. We feel that DataHero is not so much of a competitor, but complementary. Some business users may not need to look at the complex data. Instead they want to analyze the data that is specific to this department and the tools they use.

Could you describe your business model, and main revenue streams?

DataHero is the first truly, freemium data analytics platform. Anyone can create a free DataHero account and get started right away. Our revenue stream is subscription based, per user pricing and enterprise pricing is available.

What is your target market in terms of industry and geography?

We see many users in marketing, sales, and customer Management. We also see users in data payment processing roles, and developer roles.

As a web based product, DataHero has users around the world. The top countries are: United States, Canada, UK, India, Germany, China.

Are you currently looking for funding, or aiming to hire any particular talent at the moment?

We’re constantly looking to add new talent to our team, which includes some of the best and brightest in data platform development, consumer UI/UX design and machine learning. DataHero has raised $4.2 million in seed funding to-date, and we anticipate raising a Series A sometime in 2015.

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