What is Data Analytics
FP&A and Accounting
Stabilize, then Guide
What is Data Analytics
Data analytics is the process of examining raw data to uncover patterns, trends, and insights required to make informed decisions. Typically our clients are “software enabled” and are generating more information than could ever be organized or crunched with spreadsheets - software, cerebral design, and advanced methods are required. Data analytics work begins with raw information collection and reporting, and in its fully-fledged state is a key shaper of strategic roadmaps across all departments
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Data Analytics - What is it?What is Data Infrastructure
Data infrastructure is the tools and systems that allow organizations to collect, store, manage, process, access, and serve data. Plug-and-play data infrastructure vendors have multiplied in recent years, but specialist engineers are still required for more advanced/custom requirements, complex vendor implementation, and bridging gaps with SWE.
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Data InfrastructureWhat is AI
What is AI
What is AI
AI (Artificial Intelligence) is a technology that enables machines to mimic human intelligence, allowing them to perform tasks like understanding language, recognizing images, or making decisions. Machine Learning is an older but more mature subset of AI - when its capabilities are sufficient for a problem, ML is more straightforward, definite, quick to develop, and supported by tools/vendors/automations.
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Practical AIStabilize
Credible rudimentary revenue+COGS accounting with major caveats mapped. Data team is integrated into SWE processes for financial data work. First business health frameworks are adopted across the company, along with standardized key definitions. A path is charted to achieving audit-standard reporting. Rudimentary performance reporting established for largest expenditure/risk areas (ex: marketing).
Granular Analysis, Resource
Allocation, and Targets
FP&A team can dig into each department’s activities and help them bring strong financial rigor to decision making and prioritization. Quantitative payback goals are ascribed to all efforts. FP&A has strong confidence in how it allocates resources across the company.
Fundraise
We’ve done a lot of big raises. Often they hinge on data and data storytelling.
Information Unification +
Alignment
Key data from across the company is fully integrated into unified core concepts and data models, which all groups are aligned on.
Case Study:
Incline3
Dandy Data went from 0->35 in 1.5 years, though most client teams follow a more modulated trajectory...
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Incline2
Flatiron has a number of partnership models, including fully embedding our teams into a company or seeding the company’s data team...
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Incline
We’ve built industry-leading functions from scratch at top-tier unicorns (Ro, Dandy) in record time...
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