I’m excited to announce the next evolution of Push.ai - The Business Graph™. The Business Graph is the first technology that allows data teams to develop a complete model of their business. 

‍

When we started Push.ai, we saw the opportunity that semantic layers presented. We could apply AI and machine learning models to create a generally applicable solution that takes a company’s measurement framework and automatically abstracts it into meaningful pieces of information. With Push.ai, both data teams and data consumers can quickly answer what is happening, why it is happening and what should be done, with little data fluency required.

‍

To abstract data in meaningful ways, we’ve built the Business Graph to hold the complete context of a business. The Business Graph is more than a way to measure your business, it’s a model that understands the relationship between every measure, dimension, metric and person, helping teams understand relevant data and be accountable to measurable outcomes. Our technology uses the goals a business wants to achieve and keeps teams up-to-date with whether they’re on track, using leading indicators to forecast results and provide actionable guidance. The model that can be applied across businesses and drive entire companies to outcomes.

‍

As an example, a business might set a goal to record a certain amount of revenue in a quarter. To do so, people need to coordinate around a set of initiatives that will come together to achieve the revenue target. Marketing needs to generate a certain amount of leads, a sales team needs to set up so many meetings with those leads, and Customer Success may need to successfully onboard those accounts to ensure customers will be happy.With the Business Graph, we can use AI and machine learning systems to help orchestrate the business toward achieving this goal:

• Predict whether the Revenue goal is likely to be met, so teams can respond proactively
• Identify the required work from Marketing, Sales and Customer Success to get back on track
• Find opportunities to invest, such as underperforming or overperforming channels 
• Understand the root cause of missed goals and identify opportunities for improvement

‍

‍

To design a system that helps companies coordinate these initiatives, we need to know more than their metric definitions and values. We need to use Machine Learning and AI to determine the relationship between lead generation and revenue. This allows us to understand how many leads we should generate in a given time period to hit our goal. With the Business Graph, teams can use Push.ai to receive step-by-step guidance to achieve their goals.

‍

Here are a few of the components that make up the Push.ai Business Graph:

• Business Objectives - What are the goals of the business?
• Metric Ownership and Accountability - Who owns what and needs to stay updated?
• Metric Relationships - How do metrics relate to each other and form a model for the business?
• Dimension Hierarchy - What are the tiers to the dimensions of the business? (e.g., products are rolled up into categories)

‍