Finance teams at tech companies need information to respond to weekly business challenges but must wait days for IT to turnaround data requests. Meanwhile, IT loses bandwidth to deliver on their technical strategy.
With Go Fig, Finance users can self-serve their own data needs with AI-assisted workflows to procure, clean, and aggregate the data they need from their database and schedule updates to a spreadsheet. Dashboards optional.
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Go Fig AI's answer:
Unlike other analytics platforms, Go Fig enables every layer of the organization to work with data in their comfort level-- all in one platform. Business leaders and frontline employees can self-serve with instant analytics, while engineers and data scientists can continue to dive into heavy data modeling and predictive analytics.
Go Fig AI's answer:
Go Fig is the full data stack that allows tech companies to build their complete data infrastructure in 48 hours, so their teams can start extracting value from their data later this week. Yes, 48 hours. We deliver that fast by leveraging plug-n-play simplicity, automations and artificial intelligence.
Go Fig AI's answer:
Our best customers are tech companies with 10-100 employees who strongly believe that more transparency and accountability with data will enable them to realize more value by making the right decision at the right time. These companies are run by leaders who are intentional with every dollar their organization spends, and believes their organization is stronger when growing with sustainability in mind.
Go Fig AI's answer:
Freedom. That is what drives every founder to take the jump in starting their own products. It is a combination of incredible optimism that you can accomplish anything and risk-taking to achieve life-changing wealth. Nathan co-founded Go Fig with a persistent desire to enable every organization to leverage enterprise-grade analytics and machine learning, and was just as optimistic that he would go figure it out.
Go Fig AI's answer:
Go Fig was built on Google Cloud (GCP) and Google BigQuery. The decision to go with BigQuery over Snowflake was due to its incredibly versatile nature and unique machine learning capabilities, including automated data preprocessing and Gemini-enabled AI data transformation. Go Fig built on top of these features to improve accessibility of these amazing features in a more consumable format.
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