Services · 02 Implement

Build a data foundation your whole team trusts. Fixes first. Then pipelines, dashboards and AI agents.

We start with the fixes your audit found, the costly ones first. Then we build what’s next, on your stack and in your accounts.

Book an auditTalk about your project

Every implementation is scoped after your audit. The audit fee is credited in full.

What an implementation covers

Every implementation starts with the fixes. Then it grows with you.

  1. Fix the leaks

    Ad attribution, campaign tags, form tracking and lead routing, in the order your audit ranked them.

  2. Build the foundation

    Pipelines, a warehouse and shared definitions, so every tool tells the same story.

  3. Put it to work

    Dashboards your team trusts, and AI agents that answer questions and run workflows from Slack.

  • Scoped after your audit, with the audit fee credited in full
  • Built on your stack and in your accounts, so you own all of it
  • Engineers who stay through launch
Your fix listRanked by your audit
  1. 1Lead routingQualified leads skip assignment$38K/moShipped
  2. 2Form trackingDemo form doesn’t fire$21K/moShipped
  3. 3Campaign tags214 ad links untagged$12K/moIn progress

Audit feeCredited in full

The foundation

Fix the foundation first. Reports and agents you can trust start with clean data.

We standardize definitions, stabilize data flows, and add checks behind your existing tools, so your reports and your AI agents work from the same trusted data.

Your current tools stand on a reliable data layer, which is fed from legacy databases, flat files, FTP folders and APIs.SQL.CSV.XLSXFTPAPIDEFINITIONS · CHECKS · ALERTSDashboardSheetsCRMApp1234
  1. Current tools

    CRM, dashboards, spreadsheets, internal tools. Keep the reports people already rely on, and clean up the definitions, pipelines, and checks underneath them.

  2. Hard-to-reach data

    Legacy databases, FTP folders, vendor flat files, and custom APIs still hold critical business data. We connect to them too, so reporting, operations, and agents can use it.

  3. Reliable layer

    Definitions, checks, and alerts that catch problems before your data breaks.

  4. Operational speed

    Cleaner data under the tools your team already uses.

Data pipelines

Turn scattered systems into shared context.

We pull data from SaaS tools, vendor feeds, internal databases, and custom APIs, then clean and organize it for reporting, operations, and AI.

  • Connect systems off-the-shelf tools miss
  • Standardize definitions across the business
  • Catch data issues before they break reports
Pipeline healthLast 24 hours

312 runs · 311 clean · 1 replayed

  • salesforce.opportunity → warehouseSynced 2 min ago
  • metric: active_customerOne definition, 14 dashboards
  • sftp://vendor/daily_*.csv41,200 rows checked
  • stripe.charges3 events replayed from the dead-letter queue

Every downstream table is healthy

Reliable sync

Keep data current across the tools your team uses.

Shared definitions

Make key metrics mean the same thing everywhere.

Built for complexity

Handle custom systems and messy real-world data.

Safe recovery

Point-in-time recovery, dead-letter queues, and replays that don't corrupt downstream state.

Everything we build

Everything your data needs, from one team. Six things an implementation can cover.

01 Infrastructure

Data Engineering & Architecture

Build robust, scalable data pipelines and infrastructure that form the foundation of your modern data stack.

  • Data pipeline design and implementation
  • ETL/ELT process optimization
  • Data modeling and schema design
  • Real-time data processing solutions
  • Data quality monitoring and validation

02 Data platforms

Modern Data Warehousing

Design and implement modern data warehouses for fast, reliable analytics and reporting.

  • Cloud data warehouse implementation (Snowflake, BigQuery, Redshift)
  • Data warehouse optimization and performance tuning
  • Historical data management and archiving
  • Dimensional modeling and star schema design
  • Query optimization and acceleration

03 Analytics

Business Intelligence & Analytics

Turn raw data into decisions with dashboards and reports your team trusts.

  • Custom dashboard development
  • Self-service analytics implementation
  • KPI definition and tracking
  • Automated reporting systems
  • Advanced analytics and data exploration tools

04 AI

AI & Machine Learning Integration

Implement AI solutions that deliver real business value by building on the data you already have.

  • Managed AI agents your whole team shares
  • AI readiness assessment and roadmap development
  • Machine learning model development and deployment
  • Natural language processing implementations
  • Computer vision solutions
  • AI model monitoring and maintenance

05 Modernization

Cloud Migration & Modernization

Migrate your data infrastructure to modern cloud platforms for better scalability and lower costs.

  • Legacy system assessment and migration planning
  • Cloud platform selection and architecture design
  • Secure data migration with minimal disruption
  • Cost optimization and resource management
  • Hybrid and multi-cloud solutions

06 Security

Data Security & Governance

Protect your sensitive data with security measures that keep you compliant.

  • Data security assessment and strategy
  • Access control and authentication systems
  • Encryption and data masking implementation
  • Compliance with GDPR, HIPAA, CCPA, and other regulations
  • Security monitoring and incident response

Managed AI agents · part of Implement

Give your whole team AI agents that know your business.

Shared agents in Slack, connected to Salesforce, your warehouse and the rest of your systems, and tested every week against real questions. Built as a project, with an optional small retainer to keep improving them.

See managed AI agents

Clients

Projects that pay for themselves. In our clients’ words.

In two months, Agreeable Data helped us transition a large Azure database to Snowflake and dbt at an eighth of the cost and a fifth of the manpower. Then we started making things even more efficient. At one year, stability, security, development speed, and user satisfaction far exceeded our previous environment. We are not looking back.
Evan S.Senior BI Analyst, Mariner Logistics
The Agreeable Data team helped us with a martech modernization project that saved us over $125k annually. We got all the data we needed from our legacy system and are now very happy with our updated customer data platform. Having your martech backed by a robust cloud data platform is a game changer.
Daniel H.Director of Marketing, Flatiron School
Agreeable Data has helped Gulf Relay in several IT and data operations initiatives. One of them involved right-sizing our cloud infrastructure to save over $250k annually, while also improving our security posture and end-user experience. If you need a partner who can deliver real results, look no further.
Jacob L.System Administrator, Gulf Relay

Where to start

Build on numbers you can trust. Start with a Revenue Analytics Audit.

The audit tells us what to fix first and what it’s worth. Its fee is credited in full when we implement the fixes with you.

Book an auditTalk about your project

Read-only access. 100% credited back if you keep working with us.