Teams
This is the the company-wide mission statement.
What is "[We are] the industrial analytics platform that delivers products to major industries to increase productivity, security, safety, and reliability."
This is one category of product that we sell that is categorized by a low degree of customization, a standardized offering priced as SaaS and a large potential customer base.
What are, configured products in our committed verticals.
This is the tool that is used to bring in externally built models in Python onto the platform.
What is Uptake IO?
This is the quarterly process by which the team sets goals and defines how they will measure the goals.
What is the OKR process?
This is the Data Science Team mission statement.
What is, "The Data Science team supports the [company] Mission by:
1. Measuring how productive, secure, safe and reliability our customers are WITHOUT [the company].
2. Measuring how productive, secure, safe and reliable our customers are WITH [the company].
3. Working to maximize the difference between #2 and #1.
This is a category of product that we sells that is categorized by a high degree of customization, a very large deal size, and a high touch sales process.
What are Strategic Opportunities?
These are the tools that SMEs use to point and click create models that are deployed onto the platform?
What are the guided workflows?
These are the long-term metrics that the teams use to measure the value they are creating for the company and serve as inspiration for the creation of OKRs?
What are the team KPIs?
This is the team whose mission statement is below.
To identify, generate and integrate external data sources that add value to [the company] and its customers by:
1. Improving the quality of the Data Science models by using accessible external data as inputs into model predictions.
2. Improving the quality of the [the company] configured applications via display and interaction with external data sources.
3. Improving the quality of the [the company] platform by making external data sets available to internal and external developers via the dev portal.
What is the ADS team?
This is a category of product that we sell that is an enabler of synergy across customers and verticals, is typically sold in conjunction with another deal and has a small potential customer base.
What is the platform?
This is the name of the GUI-based Data Science tool that we have integrated with to allow medium skilled data scientists to build and deploy models.
What is Orange?
This is the tool used to set goals and review them with your manager.
What is Culture Amp?
This is the working group who job is to set standards and best practices across all of the data science engines.
What is the Data Science Engine Working Group?
A large owner-operator of on-highway trucks wants a product that he can "just turn on" to monitor the health of his assets. This is an example of this type of product category.
A configured product in a committed vertical.
This is the name of the tool that allows us to store and deploy pre-trained models for new customers.
What is the AI/ML model catalog?
This is the process by which managers and their directs map team OKRs, the career framework and KPIs into specific quarterly goals for the individual.
What is the quarterly goals via Clarity Day?
This is the group of legal, data science, customer success, product and sales that meet to review and approve deals that fall outside of our Level 0 framework.
What is Deal Desk?
A large owner of of oil and gas equipment comes to you for condition monitoring. However, they also have a team of data scientists and software engineers who want to do development work themselves for a set of use-cases. These are the product categories that we would sell them.
What are some sales use cases for selling a strategic deal plus our platform?
This is the capability to map signals to standardized storage formats for purposes of enabling pre-trained models, standardizing data processing and enabling easier building of models.
This is the API that customers on the platform will use to view the performance of their models in production?
What is MPR(X)?