What Obsessive Analytics Can Do For You
Unified Data Stack
Implementing each and every analytics and MarTech tool is not just inefficient, it also causes significant drift in the data available in each tool and leaves you with little to no ownership of your customers' data.
Unifying data collection reduces the load on both your engineers and websites / applications and ensures every tool gets the same data.
Extract, Transform, Load (ETL) pipelines break down data silos from 3rd party tools and enable blending of data sources, no matter where they originate from.
Populate data in 3rd party tools without relying on awkward tool-to-tool integrations, while also reducing complexity of your tech stack.
These days there are more and more potential touchpoints for your customers to interact with your brand and your own tools trigger workflows and data changes all over the place – we can help you build a detailed data flow.
Special landing pages, sign-ups & contact forms, chat bots, surveys, and more all generate data. We ensure you know the extent of it and how to access it.
We can help you build a data dictionary that tells you what certain fields mean and how they are updated.
Never lose data again due to expired API keys or because an employee’s credentials stopped working after they left!
Are you in control of how your first-party data is collected and stored? Can you access the raw data of how customers interact with your properties at any time? In light of ever increasing data protection legislation, owning your data is more important than ever before!
We can help set up data warehouses and data lakes with best practices for security and legislation compliance in mind!
With access to raw first-party data, you are in complete control of who can access sensitive data and who sees only anonymized aggregates.
Full control over the data collection process lets you make the data fit your business needs rather than making your business needs fit how a tool works.
Automation & Actionable Insights
When teams are bogged down with manual data pulls and validations, reactive reporting is often the standard for business intelligence and reporting outputs, leaving little room to be actually data-driven.
We reduce time to insight by automating the work that is not a value add for the team by automating dashboards and scorecards. This frees up your talent's time to ask "Why?" rather than "What?".
We connect the dots between all data sources and all lifecycle or funnel stages to enable full customer health analysis. A full customer360 view at your fingertips, lets you see the friction points in revenue generation.
A modern data stack, powered by solid infrastructure, enables advanced, proactive analysis like forecasting, health scoring, and can even prepare you to explore machine learning use-cases.
Are there departments or teams that think data is simply not part of their jobs? Is your team fully utilizing the tools you already have, or does your organization maybe need data-focused team members to execute data-focused tasks in those tools?
Data is important in every department. Marketing benefits from attribution and CAC data, sales benefits from lead scoring & sales velocity data, product can improve onboarding and retention with actionable usage data, and more!
With data more easily accessible, your team can see the adjacent possible. They will try to apply data to improve other aspects of the organization, rather than looking for the next tool that promises everything.
With more data available you will eventually need dedicated data and business intelligence talent. We can help hire, onboard and expand data teams, to give you the data bandwidth you need!
Time to Value
Is every new data task or project a one-off, custom, Frankenstein monster? Extending existing tooling or business intelligence efforts should not have to reinvent the wheel every time.
We hate vendor lock-in! Our data engineering and analysis solutions are tailor-made for your organization, letting you use any cloud, data warehouse / data lake, and any BI tool you want.
Data engineering best practices, such as Customer Data Platforms and Data Warehouses, let you implement new complex tools like CRM or marketing systems with the same speed and ease, normally reserved for adding a tracking pixel.
Our data models are D.R.Y. (don’t repeat yourself). They are built with flexibility and reusability in mind, so that adding new dimensions or metrics to any report is quick and easy.