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Problem - Rotten Data Data is unorganized, outdated, inconsistent & siloed: resulting in unreliable sources - Murky Streams Data is in multiple systems & has inconsistent formating - Foggy View Limited or no visibility across dept/functions for clear reporting - No AI strategy Misuse and misunderstanding = bad data and decisions	Solution - Fresh Data Trusted decision making with organized, current data across organization - Clear Flow Consistent, reliable Data that is aligned across departments and key business systems - - Data Domains Timely, focused reporting tailored to specifc deaprtments AI Strategy Leverage AI across business with clear, deliberate adoption	Unique Value Proposition We unify messy, disconnected data into one clean, custom dashboard—yielding new revenue generating insights, faster, and with less manual work.	Unfair Advantage - Data mgmt industry expertise, sharing proven use cases that deliver quick results, reliable revenue generation & best possible decisions - Proprietary strategy 9 Pillars of Enterprise Data - AI expertise to utilize company data for internal AI effectiveness
Customer Segments Mid-size businesses with large historic data sets in multiple systems with limited, unreliable or even no visibility in to what the company’s successes & losses: ie inventory mgmt	Existing Alternatives - Excel, csv files imported - Manual aggregation & updating = employee hours - Multiple disconnected SaaS applications	Key Metrics - Introductions - Sales meetings - Implementations for clients	High-Level Concept List your X for Y analogy - Molly Maid for data and applications - Snowflake for medium sized business
Channels - Trade shows/Business Expos - Networking - LinkedIn Sales - Google Ads - Referrals	Early Adopters Small & Mid-size company (50-250 emp), $1M - $100M revenue	Cost Structure - Fixed costs - Variable costs - Customer acquisition costs - Lead generation service ($1500/m) - Distribution costs - n/a, virtual product & services - Hosting - AWS ($250/m) - People (2 ppl first 3-6 m (150k) - 5 ppl 6-12 m (admin asst 25/hr, development, support) - Office support - Phone, laptops	Revenue Structure - Hourly consulting - Project-based billing (templated project offerings) - Value-based billing (what value would this bring, Sandler based selling) - Support and Subscriptions for software/leave behinds - Revenue Model - Asset Sale, Usage Fee, Subscription/Membership - Gross Margin - Project-based billing = hours estimated to complete vs hours spent - On going support/Subscriptions = monthly cost for servers/software/hours

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