Much like an iceberg, the vast majority of data management happens beneath the surface: Your developers and data scientists often work with data in ways that aren’t always easy to visualize, and at an even deeper layer, your applications and AI tools execute billions of database transactions per day without direct human oversight.
This beneath-the-surface nature of data management is why GraphGrid is a developer-first and API-focused platform. Still, most personnel at your enterprise organization likely aren’t developers or engineers – but they still need to access, analyze, and discover data insights. Turns out, the tip of the data management iceberg still matters.
Whether they’re sales reps, field agents, or data analysts, your non-technical employees still need to be able to effectively search your data, discover key trends, build knowledge graphs, share data visualizations with executives, input new data, and set search policies for other analysts. Most importantly, these employees shouldn’t need a background in computer science in order to accomplish these tasks.
With the GraphGrid Dashboard, your data analysts can harness the power of data discovery without an advanced degree or years of technical expertise. And since GraphGrid is built on top of a native graph database, its insights are contextual and connected across data sources and silos. Thus, data discovery becomes connected data discovery, which is infinitely more valuable.
Here’s how GraphGrid makes it possible.
Connected Data Discovery with GraphGrid Dashboard
GraphGrid Dashboard is the perfect starting point for analysts and other non-technical personnel on the journey from reactive data analysis toward proactive connected data discovery. Essentially, the Dashboard is an out-of-the-box toolset for analysts to interact with graph data. It’s optimized for search and discovery across your enterprise knowledge graph.
In addition to powerful graph search features, GraphGrid Dashboard also allows analysts to set search policies for team members. When paired with GraphGrid’s Natural Language Processing (NLP) capabilities, the graph-based search engine can better understand the meaning of the text (both the query and the results), and your end-user finds exactly what they’re looking for. Moreover, if you add an intelligent recommendation engine to the mix – which is also powered by graph technology – the Dashboard provides even more paths for connected data discovery.
GraphGrid Dashboard also provides your analysts with opportunities for rich graph data visualization. The Dashboard provides innumerable ways to visually illustrate data relationships and insights for improved understanding among executives or other non-technical personnel. These graph visualizations can then be saved and shared with non-GraphGrid users.
Another feature of GraphGrid Dashboard is the Showme. These dynamic APIs return targeted result sets of graph-based data in the Dashboard. While Showmes are written using the Geequel query language, your data analysts, business users, and even other non-graph developers can all use Showmes to generate connected data insights without having to know or understand a graph query language.
Showmes let your non-dev team reap all of the benefits of graph queries without any of the costs. It’s the best of both worlds. Check out my earlier article for more information on Showmes.
Turning Discovery into Knowledgeable Action
The best part of GraphGrid Dashboard is that it’s not a read-only exercise: It also includes a whole suite of data administration and management tools. Using the Dashboard, analysts can directly add new (or edit existing) nodes and relationships in your graph database.
GraphGrid Dashboard enables your users to write Geequel queries, manage publish flow control, and build knowledge graph assets directly. The Dashboard works with other GraphGrid services to provide a fully integrated experience via a management user interface.
With the Dashboard, your analysts and business users are no longer just passive data consumers, but active data contributors, especially when it comes to enriching your enterprise knowledge graph.
To learn more, try out the Movie Graph Database Walkthrough tutorial which shows you how to utilize the GraphGrid Dashboard.
Conclusion
Only 10% of the capabilities of GraphGrid Connected Data Platform are currently available to GraphGrid Dashboard users. Nevertheless, your analysts and business users will find the Dashboard not only answers their reactive questions but also invites them to dive deeper into proactive data discovery.
The result? Personnel who think in terms of context, connections, and collaboration across organizational silos and disparate data sources. Not bad for being only the tip of the iceberg.
Explore your connected data today:
Try out GraphGrid and take it for a spin.
