Types of Contract and Implementations

In our experience, we have seen 3 kinds of starts and by taking an example we will try to explain BDB’s approach. Every enterprise analytics use case has its nuances and complexities, and therefore it is difficult to club everything into these 3 segments only. However, a read of these 3 would provide ample understanding to cover most scenarios.

Smaller Contracts (less than $100 k pa, LTV < 1 m$)

BDB Recommends executing them via their SAAS Platform (www.Yujaa.com) where we can give customized flow. These customers will never use all the features of the BDB Platform as they may be SMEs or a business unit of an enterprise with a limited set of Analytics objectives.

Software & Platform Integration Contracts (Large Size Contracts – LTV > 10 m$)

These are critical contracts for any Enterprise as they Integrate BDB Platform capability in their core offerings (white label) and give seamless analytics to their last mile user (like Students in EdTech, Agent in Call Centre, Patient in Healthcare, Individual Account Holder in Banking & Driver in Automotive sector). Most companies will try to do it themselves as they don’t want to give a License to a third party, but the BDB value add is quite high in terms of giving Packaged analytics to Millions of Enterprise end customers. Enterprises can create net new additional Revenues in 6+ months making this a very attractive proposition. BDB offers volume discounts for bulk deals of this nature, which makes it interesting for Enterprises to choose this as an option.

Data Monetization Contracts (Medium to Large Size Contracts – LTV 5 – 50 m$)

Enterprises want to enhance their Data Analytics capabilities to the next level by giving seamless analytics to their Ecosystem. Utilizing the IoT, Social Media, Web Data, and API data with its business data in a way that the entire ecosystem is benefitted is what we refer to as Data Monetization Contracts. They will need all features of a comprehensive D&A strategy, especially Model as an API and Data as API, to give data services to all its departments at an effective cost.

Using the BDB platform, few customers have been able to achieve data revenue recognition in 12-15 months & have earned up to 10 x of their costs. This provides a significant ROI to them. Needless to say, achieving such strong results requires a smart business strategy, the right skilled fusion teams, and sound execution from the customer as well.

In comparison, many data platforms and product vendors as part of their larger strategy, attempt to charge their customers between 30 to 50 percent of the overall value created for the enterprise. BDB stands miles apart in glaring contrast to them.