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Managed data pipeline
Continuous access to trusted, role-specific data when and where needed
Industry-Leading Tools We Work With
Accelerating Data Modernization
with apiphani Data Pipelines
Data pipelines are end-to-end sequences of predefined and automated digital processes that allow you to seamlessly collect, modify, and deliver data throughout the enterprise. Tap into role-specific data when and where needed by taking ownership of these essential elements and become a truly data-driven organization with apiphani data pipelines.
Data Domain Planning
Establish the target business scope, create a data product roadmap, and set expectations and investment priorities based on business strategy, time to value, and cross domain dependencies.
We take a business first approach to organize and prioritize your data domains with data product roadmaps that are defined and continuously aligned with your dynamic goals and objectives. We target both specific objectives at the business unit level as well as strategic enterprise-wide goals.
Data Product Delivery
Create commercial grade data products by deploying a best practices based operating model and tools for development, onboarding, continuous enhancement, and support.
You know your business, we know data. We pair your business domain experts with our senior data architects, digital designers, data engineers, and application developers. Along with our product focused methodologies and data management platform, this unified team can quickly deploy a managed data pipeline purpose-built for your business requirements and consumable by both human and AI/ML.
Managed Data Platform Services
Deliver all the platform components of a modern data stack, backed by a fully managed service.
Powered by apiphani’s Deep Automation™ technology, and supported by our highly experiences data services team, our data mesh solution drives extreme efficiency and reliability with rapidly deployable data pipelines for your most important business intelligence, machine learning, artificial intelligence, and digital products.
Leveraging the Data Pipeline for AWS
Get insight into how we modernized the PSM approach to data and analytics enterprise-wide, using the apiphani Data Pipeline.
Client Testimonials
A Complete Solution for All Your Data Intelligence Roles
Incorporate the best of modern data and analytics principles, technology, and operating models to deliver role-specific data value with the apiphani Data Pipeline.
Our solution pulls together proven components widely recognized – both strategically and technically – as the underpinnings of successful data-driven enterprises.
The apiphani Data Pipeline solution will enable you to:
- Access a secure data platform that is fully managed and continuously evolving, delivering high value-to-cost.
- Organize and categorize system and department data from silos into value-driven data domains.
- Realign shadow data and analytics resources with automated, enterprise self-service.
- Define data product roadmaps based on options value analysis.
- Create sustaining data and analytics leadership and center of excellence (COE) roles for domain operations and governance.
The data and analytics platform, combined with apiphani managed service, takes care of data quality and complexity and makes your data easily accessible and reliable across your organization.
Why Choose Apiphani?
Experts in data management and data engineering.
We’re not afraid to get data under our fingernails. Our people are experts at digging into the hidden and often complex flow of data throughout your organization – whether in the cloud, on-prem, or overseas. We can easily bring data engineering, data architecture, and data analysis roles to bear on your data problems.
Access the best people. Apiphani doesn’t use large pools of low-cost resources but rather relies on the unbeatable combination of talent and tech. You will have a named team that will be intimately familiar with your business.
Continuously optimize your solutions. Your business is constantly changing, as are your data sources and data requirements; it’s not a set it and forget it scenario.
Through apiphani’s managed services and elastic data and analytics model, apiphani can continue optimizing your data pipelines and ensure they evolve as your business evolves.
Nothing Succeeds Like Success
In four to six weeks, apiphani can deliver two to three data pipeline showcases for you.
GET STARTED NOWEstablishing One Authoritative Source for Data
You can’t be data-driven unless you have trustworthy data. Business is increasingly data-driven, but many companies aren’t able to make that leap because they don’t have a single, cohesive, and verified source of data to drive their decisions – that “one source of truth.”
People are left on their own to find, clean, harmonize and join the data they need. The result is “shadow analytics,” where dozens of teams across the business are performing their own one-off data integration and analysis projects.
Eliminate shadow analytics. Shadow analytics waste time, lead to inconsistencies, and cause data-driven confusion. The apiphani Data Pipeline eliminates shadow analytics, creating a single, authoritative source of data available to people throughout your organization.
All the hard work of integrating and harmonizing the data from all the data silos is done within the Data Pipeline, in an automated, production-grade manner.
Accelerate data discovery and access. Our Data Pipeline will fundamentally change how your organization thinks about data, creating sustained Domain Leadership and a data and analytics Center of Excellence that drive and manage data and analytics operations and governance.
This will both accelerate data discovery and access as well as ensure your data is secured, private, accurate, and usable.
Frequently Asked Questions
What makes apiphani’s Data Pipeline and data and analytics services different from other providers?
Is the apiphani Data Pipeline essentially a Data Mesh?
How much of the Data Pipeline is apiphani’s responsibility versus our organization?
Why would I use the apiphani Data Pipeline versus build our own pipeline with our resources?
What is the best way to get started with apiphani to establish value and relationship?
How does the apiphani address the difficult challenge of adoption?
What is a data pipeline?
What are the challenges of implementing a Data Catalog?
Nothing succeeds like success.
Start small and build on your success.
- Apiphani takes an iterative DataOps approach to data management and data engineering, starting small with showcase and proof-of-concept projects that reduce risk while increasing chances for an early win.
In four to six weeks, apiphani can deliver two to three data pipeline showcases for you.
- The lessons learned and the reusable components created build a solid foundation for bigger data management and data analytics projects, and the early successes drive buy-in.
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