What is Data Analytics
Turbocharge Every
Department;
Avoid Consequential
Mistakes
We move so fast, set the (practical) vision you didn't know you needed, know and help you avoid all the pitfalls, and eat chaos for breakfast
Introduction
A typical established startup client has either (a) ignored Data while pursuing survival or (b) tried to do Data but feels that things are not in a good spot. Oftentimes departments are lacking even the most basic metrics and there are major issues with raw data collection and stability of reporting. Departments know some of what they want from Data, but are unaware of some high payout possibilities.
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 AIA Fully-Baked Team with Fully-Baked Practices, Immediately
Resourcing
Continuous Analytics Engineering and Data Analyst Resourcing, with level matched to assessed need; strong talent management
Management
Highly developed tactical management in proportion to continuous resourcing
Knowledge
Intimate knowledge of what successful companies look like, and constructive means of sharing that knowledge
Access
Access to ad-hoc data infrastructure resourcing whenever needed
Practices
Fully baked internal practices, operational tooling, and collaborative playbooks for Biz<>Data<>SWE practices
Experience
Useful experience managing all manner of complexity
Intelligence
Top-tier IQ where needed (deep-dive analysis, frameworks, category defining exercises)
Leadership
Front-loaded CDO leadership, and then as much as is needed on continuous basis
Expert Stabilization
We’ve seen all sorts of messy situations, and can brutally triage to provide realistic LOE and timeline estimates. We have a strong bench of ad-hoc resourcing immediately available to power initial cleanups and stabilizations. We also are very practiced at working with SWE dep’ts and BI folks to collaboratively introduce improvements around data creation and usage practices.
Strategic Partnership Well Beyond Data
One of our most popular exercises is the 2-year Data Menu, whereby we provide each department with a menu of options to power their strategic priorities, along with cost/benefit estimates to assist with resourcing conversations. We’ve seen a lot of businesses, and in the course of these exercises, we often:
1. Augment or help refine company leaders’ strategic priority lists
2. Propose organizational alignments
Example A new operations department that we’ve seen work well for other companies.
The Perfect Amount of Each Leadership Level
Like with earlier stage startups, established startups still would prefer to balance their resources towards execution (and tactical management) and often don’t need full-time top-caliber strategic data leaders. After initial periods of menu planning, we work with company leaders to establish the right levels of continued top-level conversations. In the case where VP/C level leadership is required more consistently, we provide that as well.
A Valuable Initial Convo, Regardless of Whether You Move Forward
Founders and startup leaders typically get a lot out of an initial convo with us, particularly
1. Shrewd assessments of LOE’s and true needs and
2. Elements of long-term vision.
Book an Assessment Convo1. Shrewd assessments of LOE’s and true needs and
2. Elements of long-term vision.
Long-Term DNA
Flatiron is fundamentally structured as a long-term partnership company. We’d much rather that you start small with us and feel really comfortable - financially and trust-wise - before increasing resourcing. We’re big on disclaimers, and prefer to underpromise and overdeliver.
We like to say that startups like us because we’re the best value, and then keep us as they grow because it remains difficult to replicate what we do.
We like to say that startups like us because we’re the best value, and then keep us as they grow because it remains difficult to replicate what we do.
