Data Transformation to Enable Advanced Analytics and AI
Our client needed a modern, transformative data architecture to reach the next level of analytics, including AI.
Simplifying the technology landscape to reduce costs and improve capabilities
This global telecommunications provider had a costly and redundant mix of data and analytics tools. Through a holistic approach, RevGen Partners analyzed enterprise processes, data, and technology to recommend an optimal future state tool mix. The solution focused on reducing software and hardware costs, improving tool capabilities, and facilitating employee adoption. This was done while optimally meeting the current (and future anticipated) data and analytics needs of the organization.
The client had a collection of redundant data and analytics tools, resulting in an exorbitant total cost of ownership. Many of the tools were outdated and difficult for in-house developers to maintain and optimize. Moreover, it was cost prohibitive to sustain the same level of licensing agreements for the dated functionality provided.
The client sought a plan for an optimized tool mix that would:
The business and technical experts at RevGen collaborated with the client to review the existing infrastructure, formulate an optimal future state landscape, and develop a rationalization roadmap. The services included:
Considerable Savings Expected with Tool Rationalization
With our data and analytics tool rationalization services, RevGen empowered the client to optimize its investment and achieve significant cost savings. The client anticipates $3.5 million in total cost savings over the next five years and ongoing savings of $1.4 million per year, thereafter.
We helped identify tools that are expected to be much more capable and align with the client’s future business needs. With our focus on adoption and engagement, we provided the client with a path to minimize risk and limit business disruptions.
Our client needed a modern, transformative data architecture to reach the next level of analytics, including AI.
Improving data quality was key to ensuring our financial services client retained data integrity and accuracy while also reducing time and money spent on after-hours issues.
The transfer of marketing leads to sales teams is critical for customer acquisition, however our client’s process was time consuming and heavily manual. RevGen built a proof-of-concept solution that automated the entire handoff.
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