Meet Neebo: The Virtual Analytics Hub
As an analytics professional, I spent an excessive amount of time finding the best assets for my analyses. Most times those assets went beyond the data. It was an exploration process to find the right people, documentation, and databases to produce a confident business recommendation.
When I found the perfect resource, I climbed additional hills, for example seeking access permissions from another business unit or migrating the data into a space where I could work with it. Many times that that space was Teradata repositories and multiple SAS programs…all to eventually get it into an Excel sheet or Tableau instance to analyze it…and finally put those conclusions in a slide deck for a meeting.
I dreaded climbing all those hills that were in front of me as I set out to explore new data resources.
Did that sound painfully familiar?
We created Neebo to make the data exploration process collaborative and – dare I say – fun! As an analytics hub, Neebo is an easy-to-use service that enables for analytics professionals to easily explore and collaborate on data assets. It allows professionals to concentrate the discovery of analytical assets so you can explore and enrich data collaboratively. Neebo lets you instantly publish to whichever business intelligence tool you prefer, so results can be easily analyzed and shared.
What is a Virtual Analytics Hub?
Analytical assets, for example data, are typically spread across numerous locations. It might live on-premises, in the cloud, in SaaS applications, or with external service providers. Neebo offers virtualized access to all of these assets, regardless of where it resides, enabling analysts to find it quickly and start analyzing it right away without ever having to involve IT resources.
Why No IT?
The core of Neebo is a data access layer. It lets you create your own virtualized data warehouse so you can access, enrich, and personalize your data, from the source, without having to move or duplicate it. This virtualization allows you to access data from source systems without having to create a copy of that data. When you add data, Neebo creates a virtual version of the source data. Neebo’s patented self-optimizing engine delivers high performance and rapid response without ever needing IT resources for your analytics project. Even cooler- Neebo will inspect the source structure and include discovered data assets in its virtualized data collection for you to explore.
By virtualizing access to analytics assets, Neebo leaves them in place and protected—eliminating security risks. In addition, it doesn’t matter whether your source is in the cloud or on-premise, or what type (relational, semi-structured or unstructured) of data it is. By accessing data in Neebo, you don’t have to wait for the right time, the support, or the budget to get to your data and assets.
Analytics Asset Exploration
Neebo is a one-stop shop where analytics teams can easily and quickly discover and understand the data assets which will suit their needs.
Teams not only gain access to a complete listing of data sources and datasets but also newly evolving data assets that analysts and data scientists have personalized to their needs. Analysts teams can search for data sets, bring more data into their analysis, learn how to best use that data from the folks that own it, and incorporate the analytical assets that are the most relevant to their project.
In Neebo, you work in DataSpaces, Views, and Flows. You use the Workbench to enrich the data to publish out out to a BI tool. With that said, let’s take a look at some of Neebo’s features in greater detail.
DataSpace As a Project
A DataSpace is a collaborative work-space for creating views from source data, filtering and blending views, and documenting a project. When you first begin using Neebo, it is where you place and track all elements related to an analytics project. The DataSpace is place where things get done. This is where you bring in all your data, explore, enrich and then transform it in the Workbench to prepare it for consumption and launch it in other BI tools such as Tableau or a Jupyter Notebook.
When you create a new DataSpace, you can choose to add collaborators or add them later on.
Views Into Source Data
In Neebo, Views are your data connections. We call them Views because they are virtual views of an asset – most commonly data. To maintain integrity and governance, source data is never editable and only a View of data can be edited. All Views become available in search, to DataSpace collaborators and users of whom the view is shared with.
For every View there is a details page showing the description, tags, a table preview, and also an activity graph of View usage and updates.
The Flow canvas is a visual representation of the relationship between data sources and views. It illustrates important information about the analytics views in your DataSpace. You easily see where assets originated and how they evolved throughout the project.
The Analytics Workbench
Neebo’s Workbench is where you review your data contents and edit the data views you have in your DataSpace. It is also where you will interact with machine learning to ensure you perform the correct operations on the most meaningful content in your data sources. Here is where you can filter, split, and blend your data source. There are also very easy-to-use operations that allow anyone to work with JSON to extract value from your web applications.
The Workbench is also where you launch a live connection to a business intelligence or data analysis tool such as Tableau or a Jupyter Notebook. Since it is a live connection to an external tool, any upstream changes to the analytics assets carry down to the analytics you already created.
Sharing Analytics Assets
A core component of collaboration is sharing. You and your colleagues can share work and expertise effortlessly in Neebo. Other users can be added as a collaborator to any DataSpace. We incorporated many different ways for you to not only share your assets, but also to find other assets.
Neebo automatically provides valuable information you can use to understand the asset you are working with. For example, who owns an asset, who frequently uses an asset, and when it was last queried or updated will give you all the information you need upfront to determine if it is the right asset for you.
People (in a DataSpace)
Our “People” card shows the Neebo users who have access to a given DataSpace. You can easily open a list of all registered Neebo users in your organization, from which you can select or search for people to add to the DataSpace. Once you add people to a DataSpace, you can see when they are accessing your project and how they are using your assets.
As an option, you type directly in a card to enter attributes that can be used to quickly identify, search or sort DataSpaces. Doing so not only provides you with an easy way to organize your assets but also lets other users find additional analytical assets they deem valuable for their analytical projects.
On the right panel, this section allows any DataSpace collaborator to enter free form notes to themselves or others. Comments are an important tool for describing and sharing work that has already been accomplished, so it can be reused or further refined.
A Fun, Collaborative Process
We are excited to launch Neebo to remove the hills, silos, and barriers that the modern analyst grapples with today. In addition, Neebo not only makes the data exploration process fun but it also highlights the expertise of the professionals that use it. With Neebo, we have created a searchable repository of trusted assets – an analytics hub that centralizes discovery of disparate data types, lets you collaborate on, explore, and prepare analytical assets, and share and publish to the BI tools you are accustomed to using.