Does Gartner’s “Cool Vendor” Report Mean Anything?

Does Gartner’s “Cool Vendor” Report Mean Anything?

Every year, Gartner, one of the world’s leading IT research companies, publishes a Cool Vendor Report highlighting new technologies in Analytics and Data Science. This year, Digital Hive (formally known as Theia) received this recognition. Previous Gartner Cool Vendors include Tableau, Snowflake, and Looker just to name a few. Many CDO’s and CTO’s use Gartner to help successfully guide their IT strategy and technology purchasing decisions.

So, does being named a Gartner Cool Vendor mean anything to Digital HiveYES!

The Intersection of Need and Solution

Gartner analysts are some of the most informed middle-men in the world. Working with both technology vendors and enterprise data leaders, they sit at an incredibly valuable intersection of information. It’s at this intersection that Gartner is able to provide value, having 1000’s of conversations a year on both sides of the fence, identifying emerging challenges and the technologies that will provide a solution. 

Validation of Enterprise Need

For Digital Hive, being named a Gartner Cool Vendor is a validation that the use of many BI & Analytics tools within large enterprises is creating real problems for end-users with BI Adoption, Data Literacy, and meaningful ROI. Companies are now in a full-sprint race to go digital, maximize the value of their data, and provide more meaningful experiences. Without frictionless access to information, meaningful data literacy education, and a push for greater user adoption, many companies are going to see the millions they invested in data & analytics go down the drain.

Even more, we now have the validation that a multi-tool tech stack is NOT going away. Co-existence is needed. If consolidating to a single BI tool is on your roadmap, be forewarned it’s a long, expensive, and ever-changing journey. Every year innovations in data & analytics produce new tools and vendors, making it necessary for companies to keep pace and maintain a competitive edge.

A Rise in Vendor Competition

For many, competition in the marketplace is a threat. For Digital Hive, seeing the recent increase in competition indicates that there IS a marketplace for our Analytic Hub solution and that we are providing much-needed value.

We welcome new competitors as we work towards a common goal –  increase awareness of the value in Analytics Hubs, Analytics Catalogs, and data literacy support.

Why Digital Hive is the Best Analytics Hub Solution 

That being said, Digital Hive was the first Analytics Hub solution to identify and solve the market need of bringing enterprise BI together. The first-mover advantage has allowed us to evolve and innovate more quickly than our competitors and provide increased value to our clients as their needs change.

Digital Hive is uniquely differentiated as the only true technology-agnostic analytics hub that allows users to interact with the full-functionality of different reports and dashboards seamlessly within the experience.

Most of the competition in our space only provides a functional analytics catalog (or is yet another BI tool in disguise). Digital Hive is the only true Analytics Hub. In addition to an Analytics Catalog Digital Hive enables end-users to create interactive Data Storyboards using reports from different tools, and contextualize information with presentations, video, RSS feeds, and custom messaging. 

This means that clients can unlock the full power of Data Storytelling and Data Literacy support. Every department, persona, partner, or client receives relevant and tailored information supported by context.

Only Digital Hive can do that.

Learn how

How You Can Use Digital Hive Today

Digital Hive has clients in every vertical, all around the world – Financial Services, Healthcare, Higher Education, Manufacturing, Retail, and more. With out-of-the-box connectors to 18 major information systems and a Custom API connector, any business can bring their choice of BI & Analytics tools together and benefit with Digital Hive.

Want to learn more? Book a 30 min demo today!

BI Consolidation is Almost Impossible

BI Consolidation is Almost Impossible

750 million people use it daily and many use it as their primary business intelligence tool. You might find this surprising if you consider Excel was invented in the 1980s, nearly 40 years ago, but, so were Business Objects (SAP), Microstrategy, Hyperion (Oracle), and Cognos (IBM). And guess what? Those tools are the foundation for most of the Fortune 1000’s data strategy.

Has your company recently implemented Tableau, Qlik, or Power BI? Well, even those tools are now between 10 and 30 years old! Not to mention, they probably co-exist in your company with one of the other BI tools I mentioned.

Let’s fast forward. Arguably, the hottest analytics company on the market right now is ThoughtSpot. With their “Search and AI-driven capabilities, they are at the cutting edge. If you have implemented ThoughtSpot, I am 99% certain it co-exists alongside AT LEAST one of the aforementioned BI tools.

 “What’s the point, Spencer?”

Well, let’s tally up the number of BI tools you have. You certainly use Excel, most likely have a legacy BI tool like SAP, Oracle, or IBM and there is a good chance you’ve introduced a 2nd generation data viz tool like Tableau or Power BI. If you are cutting edge, you might also have an augmented analytics tool like ThoughtSpot.

So you probably have 3 BI tools, if not more. Our thought exercise is supported by research from Gartner and Forrester, as well as an informal survey I conducted on LinkedIn, and I haven’t even touched on tools with analytics capabilities like Salesforce.

The point I am trying to make is that it’s very hard to keep up with innovation, resulting in the co-existence of many multi-generational analytics tools. Enterprise companies are simply too big and move too slow to keep pace while simultaneously consolidating technology to a single platform.

“Who cares? What’s the problem?”

Having multiple BI tools makes it hard to use analytics and make decisions. All of your end-users are concerned with analytics tools, instead of DECISION MAKING. This creates silos of BI assets, making it difficult to find information, hard to drive BI adoption, impossible to establish data governance, consistency, or ease of use. This is a huge obstacle to establishing a strong data culture or effectively executing a change management strategy. To put it plainly, it makes things difficult. People don’t like difficult. People like easy. People like fast.

“What is the solution?”

I’m glad you asked! ? The solution is Digital Hive. Digital Hive is “Your Intelligent Enterprise Portal” that surfaces and recommends analytics in a personalized experience.