What is Data Analytics
Data-Driven Operations:
Better, Faster, Cheaper
From "What's Going On?" to Advanced Automation
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
Reporting is accurate and stable. Metrics correctly reflect business goals within data reality. Earliest alerting possible for problems, no falsely imagined issues, subgroups make thorough use of data available and interpret it efficiently and accurately. Subgroups have strong hypotheses for key improvement areas and potential solutions.
Analytics for
“Better, Faster, Cheaper”
Iterate with operators on analytics to incrementally improve operations, including advanced experimentation (with custom infrastructure, if necessary). Enable strong data practices among operators.
Machine Intelligence for “Better, Faster, Cheaper”
Incrementally build decision automation, 3D/2D image processing/generation, and text processing/interaction/generation solutions to <deliver initial results quickly> and iterate on feedback. Data team guides complex experimentation when necessary. Data Infrastructure and SWE partner on customized deployments.
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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