As an HR person: Understand the importance of data quality to attract talent and retain employees

Based on a decade of experience, we’d like to explain:

• Data issues frustrate your best talent and drive them out
• Data issues are used as excuses by low performers
• Data quality has enormous effects on the workforce

Our product is built on the belief that decision makers should be able to make data-driven decisions and not have to worry about the underlying data. We provide analytics / clickstream / event data like SaaS. With our Data as a Service (DaaS), everything is done for you:

• We collect your event data (implementation included)
• We monitor and validate your data, handle any issues
• We optimize your data for usability

We guarantee quality event data to support your use cases.

Stop worrying about data collection and quality: We’ve got it covered

We focus 100% on collecting the best data possible and covering as much of the user journey as possible. Unlike agencies, we don’t analyze the data, and unlike analytics vendors, we don’t store any data and use it.

Our sole focus is the data and its quality, so we constantly adjust your implementation to technological changes, and integrate the data from various sources:

• Websites, SPAs, PWAs, etc.
• iOS, Android, smart device apps
• Ads, online & offline user journey
• CRMs, emails, SMS, chats, calls, etc.

Spend less time on tedious data tasks and focus on creating value through your use cases.

Enabling all your use cases that require quality event data

• Machine learning and artificial intelligence
• Marketing spend allocation / ROI optimization
• User journey and user behavior analytics
• Product analytics / user experience analytics
• Dashboards and reports, e.g. for management
• One 360 degree view on the customer or user
• Ecommerce analytics, e.g. checkout funnels
• Conversion rate optimization (CRO)
• Churn reduction
• Customer activation
• Dynamic pricing
• a/b/n testing and personalization

Got a use case that isn’t listed here? Please let us know.

Your data and its quality are constantly monitored

We have been collecting high-quality event data for over a decade. Our DaaS platform incorporates everything we have learned along the way to ensure your data is accurate. These are just some of the features:

• Data schema validation
• Data schema monitoring and alerting
• Data transformations and customizations
• Ability to apply custom business logic to the data
• User identity resolution
• PII pseudonymization and anonymization

Our platform covers the entire data creation process.

For a flat fee: Ready-to-use, high-quality event data

Analytics vendors offer tools, agencies offer consulting services. We provide the end product, the data, as a service.

With data quality and reliability being our sole focus, we enable you and your stakeholders to focus on your use cases.

Similar to SaaS, our Data as a Service approach is worry-free and about 50% more cost-effective than traditional models.

We integrate seamlessly with your existing software solutions and service providers by taking care of the implementation.

Your goals are automatically our goals due to our business model

You need high-quality data continuously, not just now, because data use cases take time to implement and usually get more profitable over time.

Our business model is built around long-term partnerships. Everything we do is thought through and meant to work for a long time.

We have learned from a decade of experience that quick fixes, workarounds, and makeshift (or band-aid) solutions don’t last.

We have huge initial implementation efforts, so if we don’t earn your business for a second year, we lose money. This sets us apart from other service providers.

Fixing data issues downstream is exponentially more expensive

A high-quality implementation to collect high-quality data costs more than a low-quality one, but dealing with low-quality data incurs even more costs downstream.

You have probably heard of “garbage in, garbage out” (or GIGO), which further contributes to the problem: The further downstream you move, the less likely it gets that you can actually fix your data.

That’s why our platform includes:

• Data models optimized for data science use cases
• Schema enforcement and data contracts
• Constant adjustments to evolving environments
• Event data based on best practices from a decade of experience

Obsession for quality and more than a decade of experience

Hey there, my name is Ian and I am the founder of Cape.ly.

For over a decade now, I have architected analytics implementations and debugged them at the network and source code level to deliver the best event data possible.

My work with medium-sized to large companies in North America and Europe has provided me with a wealth of experience and a unique combination of traits:

• Stereotypical German obsession for quality
• Stereotypical Canadian kindness
• Company in the business and data hub New York City

I believe very few have as deep an understanding of all the client-side and server-side technological details that affect data quality and reliability as I and other team members do.

You can find more information about past projects on my profiles on Cape.ly and LinkedIn, or on my personal website.