Backward Design: Visualization Using Embedded Analytics

Backward Design


In this blog, we shed light on how Verb’s Backward Design Approach keeps your data purposeful, lean, and ROI-driven.

Have you ever come across avid gamers purchasing mobile phones?

If you have, you would know that it is no different from an automobile enthusiast buying a car. Or a fashion-lover picking a dress for a gala event. In each of these cases, even one wrong feature can turn out to be a deal-breaker. 

Pro gamers, for example, know exactly what they want in a phone – be it the battery capacity, RAM size, charging speed, or screen resolution. More importantly, they know why they want those things.

What if you could have the same laser-like focus in your data management?

At Verb, we believe that not only businesses can do so, but that they must. The bad news is that it’s not as easy as it sounds. The good news? Verb’s Backward Design for data visualization using embedded analytics makes it a walk in the park.


Outcome Backward Method Using Backward Design

Verb Makes Your Data Work For You. Not against you. Data projects cannot give attractive ROI figures unless they follow the rules of the ROI. At Verb, we understand that SaaS businesses are committed to showing money to their customers. Hence, we link data assets to business goals such that every data point serves at least one purpose.

Further, by shaving off unwanted data, costs, and man-hours, SaaS businesses can focus on their core deliverable. By adopting Verb’s Backward Design approach to data visualization using embedded analytics, SaaS companies can finally rest easy. They can stop the chase for more and more data and instead drastically reduce their cost-to-serve and time-to-serve. At the same time, they can deliver data-driven insights faster and better to their clients.

Dr. Stephen Covery outlined an important principle in his bestselling book that goes like this: “Begin with the end in mind.”

Put simply, it means that whatever we do, we must do it with a clear end goal right from the start. That’s exactly what we do here at Verb. Technically, what we do is referred to as “Backward Design for Data Visualization Using Embedded Analytics.”

How Backword Design Works

Verb’s unique approach to data management starts backward – that is, it starts with business goals to be attained, instead of the data at hand. Here are the steps followed in our Backward Design for data visualization using embedded analytics:

1. Define the business goals clearly and measurably.

2. Convert the high-level business goals into granular-level business outcomes.

3. Translate the business goals and business outcomes into data goals and data outcomes.

4. Cut through the clutter to identify the datasets required to meet the data goals.

5. Ensure that the datasets required are present and have the right data quality.

6. Identify the right users for the right data and insights across the data pipeline.

7. Make the relevant data and insight streams available to the right users at the right time.

Benefits of Verb’s Backward Design Approach

For Data Visualization Using Embedded Analytics

To use Gartner’s words, instead of being “data plumbers,” Verb acts as a “data concierge.” With Verb, the focus is not on creating an unlimited and chaotic pipeline of data. Instead, we guide each data user to the right data at the right time in the shortest possible duration.

Here are the key benefits of Verb’s Backward Design approach using embedded analytics:

#1 Automated Data Optimization

Verb materializes the right data for the right user – on time, and on demand. It acts as the core engine that powers your data storage, retrieval, and pipeline configuration.

Stored data needs to be maintained and materialized on demand for various analytics and visualization needs. To ensure this, data teams spend countless hours and resources on the continuous upkeep of their data warehouse. Verb automates this entire process. It maintains a set of data points that are necessary for data modeling and visualization. This way, the stress on the data infrastructure is reduced. Furthermore, users don’t need to access the data source every time for analysis.

#2 Goal-based Selection of Data, Model, & Visualization Resources

With Verb, your business goals inform what data gets used when, by whom, and for what purpose. It acts as a gatekeeper, preventing unwanted digressions from the desired end results.

With Verb’s Backward Design approach, SaaS leaders can swiftly design and build intelligent dashboards. Our pre-configured, no-code dashboards enable SaaS companies to service clients at scale. Verb’s outstanding data experiences are curated and customized such that any additional requirements can be addressed with just a few clicks. The backward design approach to data visualization using embedded analytics ensures that no crucial data goals are left out.

#3 Out-of-the-box User Segmentation

Verb acts as the silent mastermind behind your entire data ecosystem. It knows the precise data and analytics needs of various user segments and provides role-based access accordingly.

Just like marketers segment their customers, Verb clusters the various users in your organization into segments with similar data needs. It then automatically matches the data and analytics components to each role or user segment at a given point in time. This way, Verb ensures that only the relevant data, analytics models, and visualization resources are utilized by users. This makes the time-to-implementation 5X faster with Verb since the data segmentation process is model-bound, centralized, and highly secure.

#4 Verb’s Backward Design Approach is Inclusive in Nature

A key point of differentiation of Verb is that its Backward Design Approach gives equal importance to the data experiences of non-technical users. Verb is 100% no-code.

People, unlike machines, are far more limited in their data-handling ability. This is particularly true for non-technical users who constantly feel like they are at a loss.

A 2021 study conducted by Forrester on behalf of Dell Technologies shows that only 12% of people in organizations:

  • are data-savvy,
  • can turn data into insights,
  • can process data at the edge, and
  • are invested in data science skills and culture.

Non-technical users find Verb-powered systems to be a breeze. The entire data experience is no-code, hosted, and self-service. Hence, even non-engineers can derive insights quickly. There is no need to engage in time-consuming back-and-forth with IT teams to make the most of the data at hand.

Interested to explore how Verb’s Backward Design for data visualization using embedded analytics can streamline your data experiences?