DATA ARCHITECTURE

Snowflake-powered OneBill now offers descriptive and predictive data analytics

OneBill | February 02, 2022

OneBill
According to Gartner, by 2023, more than 33% of big firms will employ analysts practicing decision intelligence (including decision modeling). As a result, businesses will become increasingly reliant on aggregating data from across the organization to inform descriptive and predictive analytics.

OneBill, a provider of end-to-end billing and revenue management software, has seen this rising opportunity to build intelligent analytics using OneBill's diverse data sources and Snowflake Data Marketplace's rich data.

Every month, OneBill processes millions of data inputs spanning product inventories, usage (e.g. minutes, data, volume, etc. ), price values, taxation, and much more to generate an invoice. As a result, OneBill saw an opportunity to investigate how this massive amount of data could be transformed into helpful analytics, allowing their clients to do predictive data analytics that impacts future revenue strategy decisions.

Data from the OneBill platform will be fed into Snowflake and transformed into dashboard reporting tools that can be customized for a firm thanks to the interface created between the two platforms. Customers can also compare and reconcile their billing data with their accounting reports, as Snowflake can provide data from other corporate systems such as Accounting and Taxation platforms.

"We are excited by this partnership, as we see Snowflake as a strong partner to build this modernized, scalable, and adoptive platform, based on their unique set of product portfolio elements. Furthermore, their high level of computing, storage, and security capabilities is second to none, making them a partner we can truly trust in this venture,"

OneBill Software Founder & CEO, JK Chelladurai

"We are encouraged by OneBill's latest capabilities, Powered by Snowflake, which can be transformative for many businesses as they pursue innovation with these advanced revenue reporting tools," said Colleen Kapase, SVP of Worldwide Partners and Alliances. "As Snowflake continues to make strides to mobilize the world's data, partners like OneBIll give our customers greater flexibility around how they make key revenue management decisions."

Spotlight

We are living in a generation where nearly everything is automated, simplified and made to enable us to do what we do better. However, when it comes to BI metadata management, we have not yet seen technology that significantly transform the way BI groups work on their daily tasks. What we have seen are proprietary tools that support only a single BI platform, that usually have a narrow view of metadata and are distributed by a proprietary so¬ware provider. Moreover, in today's business setting we still scramble to find the right information in conflicting reports, where limited visibility and control of metadata make it extremely di icult for businesses to make quick and accurate decisions. Today's progression in data management revolves around data governance and e ective access to metadata the frame of reference giving data its context and meaning. Metadata governance provides a comprehensive view into the flow of data, the ability to perform impact analysis, a common business terminology and accountability for the terms and definitions with accurate audit trails for compliance. In this context, metadata management becomes an important capability, enabling IT to oversee changes while delivering trusted data in a complex data integration environment.

Spotlight

We are living in a generation where nearly everything is automated, simplified and made to enable us to do what we do better. However, when it comes to BI metadata management, we have not yet seen technology that significantly transform the way BI groups work on their daily tasks. What we have seen are proprietary tools that support only a single BI platform, that usually have a narrow view of metadata and are distributed by a proprietary so¬ware provider. Moreover, in today's business setting we still scramble to find the right information in conflicting reports, where limited visibility and control of metadata make it extremely di icult for businesses to make quick and accurate decisions. Today's progression in data management revolves around data governance and e ective access to metadata the frame of reference giving data its context and meaning. Metadata governance provides a comprehensive view into the flow of data, the ability to perform impact analysis, a common business terminology and accountability for the terms and definitions with accurate audit trails for compliance. In this context, metadata management becomes an important capability, enabling IT to oversee changes while delivering trusted data in a complex data integration environment.

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