What is Data Analytics
Reward Your Best People;
Intervene ASAP to Prevent Churn
From Basic Benchmarking 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 AIThe Basics
Set the right benchmarks, manage talent, visualize dealflow, target the right leads, track AM activity, understand basic cost/benefit of key actions.
Storytelling; Data As Product
Develop quantitative stories that hook prospective leads. Evaluate account performance on nuanced facets. Develop and automatically refresh data stories that AMs can leverage as a product offering.
Enriched Personas
Develop categorizations for leads and accounts that greatly improve Sales/AM effectiveness. Enrich with large amounts of 3rd party data.
Automated Early Interventions
Highlight account warnings and opportunities for AMs far earlier, more consistently, and more creatively than the average AM would manage.
Enhanced Experience
At Lower Cost
Create higher and higher touch customized experiences with less and less person-hours.
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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