Markets
Get comprehensive, automated benchmarking services for your business customers or locations, based on your solutions data and our artificial intelligence. The following markets will benefit from a Benchmarking Engine, which delivers action-provoking, fast-based insights at the push of a button, in perfectly understandable English ready to share and motivate improvement. Also, read about uses of our benchmarking engine for internal Customer Success purposes.
Cloud, SaaS, or
Software-Based
B2B Services
Business/Knowledge
Process
Outsourcing
The business customers of a vendor's cloud, web, or software services generate usage data that reflects operational choices, policies, and practices that may be good or bad. These end customers need help to understand how they are doing and where they could improve. They may bring in the vendor to evaluate performance, but this requires first understanding the customer's situation, based on factual insights, which is laborious and scarcely automated.
Instead, we discover those insights automatically and enable providing them to the end customer, who may then seek to improve by calling on the vendor or a vendor's partner.
We help vendors to further differentiate their solutions, improve retention by deepening the customer relationship, and gain new revenue by offering a unique, valuable benchmarking service and pointing out new ways that customers can leverage the vendors' expertise and solutions.
The Benchmarking Engine users can be your internal Customer Success Managers. If the Engine is used directly by your customers, check our Revenue Impact calculator to estimate the potential revenue gain from this new service.
Enterprises outsource certain operations to a BPO/KPO vendor, who by carrying out the operation will generate data that characterizes the enterprise's performance along various dimensions, reflecting operational choices made by the enterprise. This data is analogous to what a cloud-based provider gathers in the course of its services.
These enterprises need help to understand how they are doing. Traditionally, they may rely on the BPO/KPO provider to evaluate performance, but this requires first understanding the customer's situation, based on factual insights, which is laborious and scarcely automated.
Instead, we discover those insights automatically and enable providing them to the enterprise, which may then seek to improve by calling on the provider or one of its partners.
As with cloud services, we help vendors to differentiate further their solutions, improve retention by deepening the customer relationship, and gain new revenue by offering a unique, valuable benchmarking service and pointing out new ways that end customers can leverage - and pay for - the vendors' expertise.
Internet
of
Things
The enterprise customers of a vendor's cloud, web, or software services generate usage data that reflects operational choices, policies, and practices that may be good or bad. These end customers need help to understand how they are doing. Traditionally, they may bring in the vendor to evaluate performance, but this requires first understanding the customer's situation, based on factual insights, which is laborious and scarcely automated.
Instead, we discover those insights automatically and enable providing them to the end customer, who may then seek to improve by calling on the vendor or a vendor's partner.
We help vendors to further differentiate their solutions, improve retention by deepening the customer relationship, and gain new revenue by offering a unique, valuable benchmarking service and pointing out new ways that end customers can leverage - and pay for - the vendors' expertise.
Chains
A chain consists of similar establishments, such as retail stores, bank branches, theaters, hotels, or government offices, all under one ownership or management. Each establishment's success depends on the interplay between central management and local circumstances, policies, and choices. This interplay leads to varying outcomes which can be understood by comparing each location to all others, thus motivating store managers with specific areas to improve and uncovering good practices to share across locations.
Typically there are location managers, regional managers, and a VP in charge of all locations. It's unreasonable to ask each to be a data analyst, think of the right questions, and do the work to answer them. Instead, a benchmarking engine does both and writes the insights in perfect English, that is ready to share with the team.
Try out our stores benchmarking engine which uses simulated data on 500 retail locations with 59 store attributes.
Other
Markets
Our core technology answers a basic, but novel question about structured data: What is unique or exceptional about an individual in a dataset, based on the given attributes and compared to everybody else?
Explore some other, non-benchmarking-style applications to baseball and colleges.
We are open to inquiries from companies that see a valuable application of this technology that is outside the scope of automated benchmarking as defined elsewhere on this page.